Portable out-of-hospital electrocardiography: A review of current technologies
Open accessAbstract
Background: Availability of portable and home‐based electrocardiography ( ECG ) is an important medical innovation, which has a potential to transform medical care. We performed this review to understand the current state of out‐of‐hospital portable ECG technologies with respect to their scope, ease of use, data transmission capabilities, and diagnostic accuracy. Methods: We conducted PubMed and Internet searches for “handheld” or “wearable” or “patch” electrocardiography devices to enlist available technologies. We also searched PubMed with names of individual devices to obtain additional citations. We classified available devices as a “single limb lead ECG recording devices” and chest‐lead “ ECG recording devices.” If a device used more than three electrodes, it was defined as a conventional electrocardiography or Holter machine and was excluded from this review. Results: We identified a total of 15 devices. Overall, only six of these devices (five single lead and one chest lead) featured in published medical literature as identified from PubMed search. A total of 13 citations were available for the single limb lead ECG recording devices and 6 citations for the chest‐lead ECG recording devices. Conclusions: Despite the increase in number of such devices, published biomedical literature regarding their diagnostic accuracy, reproducibility, or utility is scant.
AI snapshot
Written from the paper’s full text.
TL;DR
This review catalogs portable out-of-hospital ECG technologies, identifying 15 commercially available devices divided into single-limb-lead and chest-lead/multiple-lead categories. It finds that only 6 of 15 devices have published medical literature, and that evidence on diagnostic accuracy, reproducibility, and utility remains scant.
Key findings
- The review identified 15 devices: 12 single-limb-lead ECG recording devices and 3 chest-lead ECG recording devices; only 6 devices (5 single-lead and 1 chest-lead) appeared in published medical literature via PubMed.
- Published citations were limited: 13 citations for single-limb-lead devices and 6 citations for chest-lead devices.
- Diagnostic accuracy varied widely. For Alivecor Kardia, atrial fibrillation sensitivity/specificity was 98%/97% in one study and 98.5%/91.4% in another, but sensitivity fell to 71.4% in a large study with low AF prevalence (2.7%). For Omron HeartScan, AF sensitivity ranged from 30% to 100% across studies, with specificities of 76.2% to 97%.
- For ZioPatch, longer wear increased diagnostic yield: compared with the first 48 hours, the overall diagnostic yield was greater when the entire wear duration was included for any arrhythmia and any symptomatic arrhythmia (P < .0001); it also detected more arrhythmia events than Holter over total wear time (P < .001).
Methods
- Narrative review using PubMed and Internet searches for “handheld,” “wearable,” or “patch” electrocardiography devices, plus PubMed searches by individual device names.
- Included only commercially available devices; classified them as single-limb-lead ECG recording devices if they used fingers/thumb of both hands, and as chest-lead ECG recording devices if they captured two or more leads via chest-wall sensors.
- Excluded devices using more than three electrodes, which were defined as conventional ECG or Holter machines, and excluded devices that only analyzed pulse regularity without evaluating electrocardiograph.
Limitations
- The paper states that published biomedical literature on these devices’ diagnostic accuracy, reproducibility, or utility is scant, and suggests reasons including early development phase, regulatory environments not mandating robust pre-launch studies, devices being developed in the engineering domain, and disconnect with biomedical research.
- Evident from the text: the review relied partly on manufacturer and Internet information, did not report a systematic search protocol or formal quality appraisal, and did not perform meta-analysis.
- Evident from the text: included studies were heterogeneous in populations, devices, outcomes, and definitions of arrhythmia, limiting direct comparison across devices.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 19 cited sources checked · 0 supported · 0 flagged
- Findingown data
The review identified a total of 15 portable out-of-hospital ECG devices.
“We identified a total of 15 devices.”
- Also stated in: § RESULTS · plain
“We identified a total of 15 devices, 12 of these were single limb lead ECG recording devices and remaining 3 were chest‐lead ECG recording devices.”
- Also stated in: § DISCUSSION · plain
“Of a total of 15 devices identified in our review, only 6 have been evaluated and published in biomedical literature.”
Quote in the paperNot a substantial claim - Also stated in: § RESULTS · plain
- Findingown data
Only six of the identified devices (five single lead and one chest lead) featured in published medical literature as identified from PubMed search.
“Overall, only six of these devices (five single lead and one chest lead) featured in published medical literature as identified from PubMed search.”
- Also stated in: § RESULTS · plain
“Overall, only six of these devices (five single lead and one chest lead) featured in published medical literature as identified from PubMed search (Table 1).”
- Also stated in: § DISCUSSION · plain
“Of a total of 15 devices identified in our review, only 6 have been evaluated and published in biomedical literature.”
Quote in the paperSubstantial claim - Also stated in: § RESULTS · plain
- Interpretationown data
Published biomedical literature regarding the diagnostic accuracy, reproducibility, or utility of portable out-of-hospital ECG devices is scant.
“Despite the increase in number of such devices, published biomedical literature regarding their diagnostic accuracy, reproducibility, or utility is scant.”
- Also stated in: § CONCLUSION · plain
“Despite an explosion of such devices, published biomedical literature about their diagnostic accuracy, reproducibility, or utility is scant.”
Quote in the paperSubstantial claim - Also stated in: § CONCLUSION · plain
- Interpretationreasoning
Despite a limited number of publications, sufficient literature exists to prove the concept and utility of portable out-of-hospital ECG devices.
“Despite a limited number of publications, sufficient literature exists to prove the concept and utility of such devices.”
Quote in the paperSubstantial claim - Interpretationreasoning
There is potential for multiple chest-lead wearable devices to supplant exercise-electrocardiography in stable angina situations.
“There could be a potential to supplant exercise‐electrocardiography in these situations.”
Quote in the paperSubstantial claim
- Premisecitation
In de Asmundis et al., Omron HeartScan detected significantly more symptom-related arrhythmias than Holter monitor (P < .01).
“A study by de Asmundis C et al17 revealed significantly higher detection of symptom‐related arrhythmias with Omron HeartScan compared with Holter monitor (P < .01).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] de Asmundis C, Conte G, Sieira J, et al. Comparison of the patient‐activated event recording system vs. traditional 24 h Holter electrocardiography in individuals with paroxysmal palpitations or dizziness. Europace. 2014; 16: 1231– 5. 24574492 source
Not checked in the free run.
- Premisecitation
In Rosenberg et al., during first 24-hour period, atrial fibrillation burden on 24-hour Holter and ZioPatch device was comparable (P < .0001).
“Michael A Rosenberg et al25 revealed that during first 24‐hour period, atrial fibrillation burden on the 24‐hour Holter and the ZioPatch device was comparable (P < .0001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Rosenberg MA, Samuel M, Thosani A, Zimetbaum PJ. Use of a noninvasive continuous monitoring device in the management of atrial fibrillation: a pilot study. Pacing Clin Electrophysiol. 2012; 36: 328– 33. 23240827 PMC3618372 source
Not checked in the free run.
- Premisecitation
In Pak-Hei Chan et al., when atrial fibrillation prevalence was low (2.7%), Alivecor Kardia sensitivity was 71.4%.
“In another large study by Pak‐Hei Chan 11 where the prevalence of atrial fibrillation was low (2.7%), the sensitivity of the device was only 71.4%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Chan P, Wong C, Pun L, et al. Head‐to‐head comparison of the alivecor heart monitor and microlife watchbp office AFIB for atrial fibrillation screening in a primary care setting. Circulation. 2016; 135: 110– 2. 28028066 source
Not checked in the free run.
- Premisecitation
In Doliwa et al., Zenicor ECG had 96% sensitivity and 92% specificity for atrial fibrillation detection.
“In a study by Doliwa PS et al20 sensitivity and specificity for atrial fibrillation detection were 96% and 92%, respectively.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Doliwa P, Frykman V, Rosenqvist M. Short‐term ECG for out of hospital detection of silent atrial fibrillation episodes. Scand Cardiovasc J. 2009; 43: 163– 8. 19096977 source
Not checked in the free run.
- Interpretationnone given
First-generation single-lead devices are best suited for short-term rhythm analysis.
“These devices are best suited for a short‐term rhythm analysis.”
Quote in the paperSubstantial claim - Premisecitation
In Kearley et al., Omron HeartScan had 98.7% sensitivity and 76.2% specificity for detection of atrial fibrillation.
“Kearley K et al16 showed similar results in a large study among elderly age group (sensitivity‐98.7% and specificity‐76.2%).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Kearley K, Selwood M, Van den Bruel A, et al. Triage tests for identifying atrial fibrillation in primary care: a diagnostic accuracy study comparing single‐lead ECG and modified BP monitors. BMJ Open. 2014; 4: e004565. PMC4025411 24793250 source
Not checked in the free run.
- Premisecitation
In Lowres et al., Alivecor Kardia had 98.5% sensitivity and 91.4% specificity for detection of atrial fibrillation.
“Similar accuracy estimates were obtained in a study by Lowers and colleagues (sensitivity of 98.5% and specificity of 91.4%).10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Lowres N, Neubeck L, Salkeld G, et al. Feasibility and cost‐effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies. Thromb Haemost. 2014; 111: 1167– 76. 24687081 source
Not checked in the free run.
- Premisecitation
In Schreiber et al., diagnostic yield was 63.2% in detection of atrial fibrillation.
“Schreiber D 26 and colleagues in their study found a diagnostic yield of 63.2% in detection of atrial fibrillation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Schreiber D, Sattar A, Drigalla D, Higgins S. Ambulatory cardiac monitoring for discharged emergency department patients with possible cardiac arrhythmias. West J Emerg Med. 2014; 15: 194– 8. 24672611 PMC3966438 source
Not checked in the free run.
- Premisecitation
In Kaleschke et al., Omron HeartScan had 99% sensitivity and 96% specificity for detection of atrial fibrillation.
“In a study by Gerrit Kaleschke et al18 diagnostic yield of Omron HeartScan in detection of atrial fibrillation was sensitivity 99% and specificity 96%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Kaleschke G, Hoffmann B, Drewitz I, et al. Prospective, multicentre validation of a simple, patient‐operated electrocardiographic system for the detection of arrhythmias and electrocardiographic changes. Europace. 2009; 11: 1362– 8. 19797150 source
Not checked in the free run.
- Interpretationreasoning
Single-lead devices have potential utility among patients with known episodic rhythm disorders such as atrial fibrillation, supraventricular tachycardia, and ventricular tachycardia.
“Single‐lead devices have a potential utility among patients with a known episodic rhythm disorders such as atrial fibrillation, supraventricular, and ventricular tachycardia.”
Quote in the paperSubstantial claim - Interpretationreasoning
Availability of home-based rhythm recognition devices can be useful in prioritizing visits to the emergency room for patients with symptoms such as palpitations, dyspnea, or syncope.
“While symptoms such as palpitations, dyspnea, or syncope are useful to screen these conditions, availability of home‐based rhythm recognition devices can be useful in prioritizing visits to the emergency room.”
Quote in the paperSubstantial claim- Rests on an assumption: The prevalence of episodic rhythm disturbances is low.
- Premisecitation
In Weisel et al., Omron HeartScan had 30% sensitivity and 97% specificity for detection of atrial fibrillation.
“In a study by Weisel J et al14 the sensitivity for detection of atrial fibrillation was low, that is, 30%, and specificity was high, that is, 97%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Wiesel J, Arbesfeld B, Schechter D. Comparison of the microlife blood pressure monitor with the omron blood pressure monitor for detecting atrial fibrillation. Am J Cardiol. 2014; 114: 1046– 8. 25212546 source
Not checked in the free run.
- Premisecitation
In Garabelli et al., Alivecor is accurate in measuring QTc interval (P < .01).
“Alivecor is accurate in measuring QTc interval (P < .01)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Garabelli P, Stavrakis S, Albert M, et al. Comparison of QT interval readings in normal sinus rhythm between a smartphone heart monitor and a 12‐Lead ECG for healthy volunteers and inpatients receiving sotalol or dofetilide. J Cardiovasc Electrophysiol. 2016; 27: 827– 32. 27027653 source
Not checked in the free run.
- Premisecitation
In Rekhviashvili et al., E100 event recorders showed higher efficacy for detecting arrhythmias compared with 24-h Holter ECG monitoring.
“In comparison with 24‐h Holter ECG monitoring, E100 event recorders showed higher efficacy for detecting arrhythmias”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Rekhviashvili A1, Baganashvili E, Tan KY, Raymakers F, Sakandelidze Ts. Reproducibility and diagnostic value of E100 event recorder for patients with complains on heart arrhythmias and no changes on multiple routine ECGs and 24‐hour holter monitoring. Georgian Med News. 2012; 203: 29– 33. 22466537
Not checked in the free run.
- May combine two claims. 17
- Classified as probably not a substantial claim. 3
May combine two claims.
Findingown dataA total of 13 citations were available for the single limb lead ECG recording devices and 6 citations for the chest-lead ECG recording devices.
“A total of 13 citations were available for the single limb lead ECG recording devices and 6 citations for the chest‐lead ECG recording devices.”
- Also stated in: § RESULTS · plain
“A total of 13 citations were available for the single limb lead ECG recording devices and 6 citations for the chest‐lead ECG recording devices.”
Quote in the paperNot a substantial claim- Also stated in: § RESULTS · plain
May combine two claims.
Findingown dataOf the 15 identified devices, 12 were single limb lead ECG recording devices and 3 were chest-lead ECG recording devices.
“We identified a total of 15 devices, 12 of these were single limb lead ECG recording devices and remaining 3 were chest‐lead ECG recording devices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenMultiple-lead devices use chest patch/electrodes and may have utility to detect both abnormal rhythms and localization of ischemic abnormalities.
“Multiple‐lead devices use chest patch/electrodes and may have a utility to detect both abnormal rhythms and localization of ischemic abnormalities.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenSingle-lead devices may be with or without a display of ECG and have a capability to detect abnormal rhythms.
“Single‐lead devices maybe with or without a display of ECG and have a capability to detect abnormal rhythms.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenAvailable portable out-of-hospital ECG devices are heterogeneous and can be broadly classified as single limb lead and multiple-lead devices.
“There is a heterogeneity in terms of available devices, and broadly these can be classified as single limb lead and multiple‐lead devices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenMultiple chest-lead wearable devices will have unparalleled utility in diagnosis of stable angina when individuals have chest pain or equivalent symptoms on exertion.
“Multiple chest‐lead wearable devices however will have an unparalleled utility in diagnosis of stable angina, when individuals have chest pain or equivalent symptoms on exertion.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn Bolourchi et al., mean times to first detected and first symptom-triggered arrhythmias were 2.7 ± 3.0 and 3.3 ± 3.3 days, respectively.
“The results in a large study among the pediatric age group 28 showed that the mean times to first detected and first symptom‐triggered arrhythmias were 2.7 ± 3.0 and 3.3 ± 3.3 days, respectively.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Bolourchi M, Batra AS. Diagnostic yield of patch ambulatory electrocardiogram monitoring in children (from a National Registry). Am J Cardiol. 2015; 115: 630– 4. 25591894
Not checked in the free run.
May combine two claims.
PremisecitationIn Marazzi et al., Omron HeartScan had 100% sensitivity, 92% specificity, and 95% accuracy for detection of atrial fibrillation.
“However, a study by Marazzi G et al15 demonstrated 100% sensitivity, 92% specificity, and 95% accuracy in detection of atrial fibrillation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Marazzi G, Iellamo F, Volterrani M, et al. Erratum to: comparison of microlife BP A200 plus and omron M6 blood pressure monitors to detect atrial fibrillation in hypertensive patients. Adv Ther. 2014; 31: 1317– 1317. 22198902
Not checked in the free run.
May combine two claims.
PremisecitationIn Lau et al., Alivecor Kardia had 98% sensitivity and 97% specificity for detection of atrial fibrillation.
“In a study by Lau and colleagues,9 the sensitivity of the device for detection of atrial fibrillation was 98% and specificity of 97%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Lau J, Lowres N, Neubeck L, et al. iPhone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke. Int J Cardiol. 2013; 165: 193– 4. 23465249 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningUtility of a single-lead ECG is highly questionable in the setting of chest pain, with a potential for false-negative test results.
“Utility of a single‐lead ECG is highly questionable in this setting with a potential for false‐negative test results.”
Quote in the paperSubstantial claim- Rests on an assumption: A single ECG has limited sensitivity for chest pain.
- Rests on an assumption: Serial ECGs with a cardiac biomarker study are required to make an accurate diagnosis of chest pain.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningPotential reasons for scant literature include early phase of development, regulatory environment not mandating robust studies prior to launch, devices being developed in engineering domain, and disconnect with biomedical research.
“The potential reasons for scant literature include early phase of development of such devices, regulatory environment not mandating robust studies prior to launch of such devices, devices being developed in engineering domain, and disconnect with biomedical research.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn Turakhia et al., compared with first 48 hours of monitoring, overall diagnostic yield was greater when data from the entire ZioPatch wear duration were included for any arrhythmia (P < .0001) and for any symptomatic arrhythmia (P < .0001).
“In a large study by Turakhia MP et al23 it was found that compared with first 48 hours of monitoring, the overall diagnostic yield was greater when data from the entire ZioPatch wear duration were included for any arrhythmia (P < .0001) and for any symptomatic arrhythmia (P < .0001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Turakhia MP, Hoang DD, Zimetbaum P, et al. Diagnostic utility of a novel leadless arrhythmia monitoring device. Am J Cardiol. 2013; 112: 520– 4. 23672988 source
Not checked in the free run.
May combine two claims.
PremisecitationIn Usadel et al., Zenicor yielded 92% sensitivity in diagnosing supraventricular tachycardia and 77% sensitivity and 92% specificity in identifying abnormal ECGs.
“In a study among children by Usadel et al21 Zenicor yielded 92% sensitivity in diagnosing supraventricular tachycardia plus 77% sensitivity and 92% specificity in identifying abnormal ECGs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Usadel L, Haverkämper G, Herrmann S, et al. Arrhythmia detection in pediatric patients: ECG quality and diagnostic yield of a patient‐triggered einthoven lead‐I event recorder (Zenicor EKG‐2™). Pediatr Cardiol. 2015; 37: 491– 6. 26573815
Not checked in the free run.
May combine two claims.
InterpretationreasoningMultiple-lead wearable devices are likely better than single-lead devices for chest pain, but interpretation of the presence or absence of ischemia remains uncertain compared to a 12-lead ECG.
“Multiple‐lead wearable devices are likely to be better than a single‐lead device in this regard, but interpretation of the presence or absence of ischemia will still be uncertain as compared to a 12‐lead ECG.”
Quote in the paperSubstantial claim- Rests on an assumption: A single ECG has limited sensitivity for chest pain.
May combine two claims.
PremisecitationIn Barrett et al., adhesive patch monitor detected more arrhythmia events compared with Holter monitor over total wear time (P < .001), although Holter detected more events during initial 24-h monitoring (P = .013).
“In another study by Barrett PM et al24 it was shown that adhesive patch monitor detected more arrhythmia events compared with the Holter monitor over the total wear time (P < .001), although the Holter monitor detected more events during the initial 24‐h monitoring period (P = .013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Barrett PM, Komatireddy R, Haaser S, et al. Comparison of 24‐hour holter monitoring with 14‐day novel adhesive patch electrocardiographic monitoring. Am J Med. 2014; 127: e11– 7. PMC3882198 24384108 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningWearable multiple-lead devices are better suitable as ambulatory cardiac rhythm analysis devices and could be the future of Holter monitoring systems.
“Wearable devices are better suitable as ambulatory cardiac rhythm analysis devices and could be the future of Holter monitoring systems.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn Tung et al., about 15% of first paroxysmal atrial fibrillation occurred after 48 hours, which would not be detected by conventional Holter monitor but can be detected by ZioPatch.
“A study by Christine E Tung et al27 showed that about 15% of first paroxysmal atrial fibrillation occurred after 48 hours, which will not be detected by conventional Holter monitor but can be detected by ZioPatch.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Tung C, Su D, Turakhia M, Lansberg M. Diagnostic yield of extended cardiac patch monitoring in patients with stroke or TIA. Front Neurol. 2015; 5: 266. 25628595 PMC4290477 source
Not checked in the free run.
May combine two claims.
PremisecitationIn Usadel et al., Zenicor ECG measured heart rate, QRS duration, and PR interval accurately but P-wave detection was not statistically significant.
“Zenicor ECG measured heart rate, QRS duration, and PR interval accurately but P‐wave detection was not statistically significant.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Usadel L, Haverkämper G, Herrmann S, et al. Arrhythmia detection in pediatric patients: ECG quality and diagnostic yield of a patient‐triggered einthoven lead‐I event recorder (Zenicor EKG‐2™). Pediatr Cardiol. 2015; 37: 491– 6. 26573815
Not checked in the free run.
The paper relies on this without support.
Many handheld ECG devices give only limited information compared to conventional 12-lead ECGs.
“Many handheld ECG devices give only limited information as compared to conventional 12‐lead ECGs.”
The paper relies on this without support.
ECG information invariably needs to be interpreted along with clinical inputs.
“As information obtained by ECG invariably needs to be interpreted along with clinical inputs, it is debated if out‐of‐hospital use will really be beneficial.”
The paper relies on this without support.
A single ECG has limited sensitivity for chest pain.
“While ECG is a mainstay in diagnostic algorithm of chest pain, a single ECG has limited sensitivity.”
The paper relies on this without support.
Serial ECGs with a cardiac biomarker study are required to make an accurate diagnosis of chest pain.
“Often serial ECGs with a cardiac biomarker study is required to make an accurate diagnosis.”
The paper relies on this without support.
The prevalence of episodic rhythm disturbances is low.
“While prevalence of these episodic rhythm disturbances is low, early treatment has a high immediate impact in preventing mortality and morbidity.”
The paper relies on this without support.
The number of available portable out-of-hospital ECG devices is increasing.
“The number of available devices that can record and analyze electric signals emitting from the cardiac conduction system is on the rise.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The blood pressure cuff, ECG patch, and Holter monitor are not often used for long-term remote monitoring.
“The blood pressure cuff, ECG patch, and Holter monitor are also not often used for long-term remote monitoring [24].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Schreiber study's overall arrhythmia yield is described as an AF yield
MajorThe text attributes the 63.2% diagnostic yield specifically to atrial fibrillation. Table 1 describes the yield as detection of significant arrhythmias, a category that also includes ventricular and supraventricular tachycardia, pauses, and heart block.
“Schreiber D 26 and colleagues in their study found a diagnostic yield of 63.2% in detection of atrial fibrillation.”
“Diagnostic yield 63% Significant arrhythmias are defined as follows: ventricular tachycardia (VT) ≥4 beats, supraventricular tachycardia (SVT) ≥4 beats, atrial fibrillation, ≥3 s pause, 2nd‐degree Mobitz II, 3rd‐degree AV block, or symptomatic bradycardia.”
Lau study's atrial fibrillation prevalence differs
MinorTable 1 reports 35.8% for the Lau study, while the text reports 35.7% for the same study.
“Prevalence of atrial fibrillation‐35.8%”
“The prevalence of atrial fibrillation in these two studies was 35.7% and 6.7%, respectively.”
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Diagnostic utility of a novel leadless arrhythmia monitoring device.
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Wireless smartphone ECG enables large-scale screening in diverse populations
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Occult Atrial Fibrillation in Cryptogenic Stroke
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Short-term ECG for out of hospital detection of silent atrial fibrillation episodes
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ST segment elevations: Always a marker of acute myocardial infarction?
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Diagnostic Yield of Extended Cardiac Patch Monitoring in Patients with Stroke or TIA
Tung, C. E., Su, D., Turakhia, M. P., & Lansberg, M. G. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2014.00266 · Cited by 60 · see citing works
Locati, E. H., Vecchi, A. M., Vargiu, S., Cattafi, G., & Lunati, M. (2013) · EP Europace · doi:10.1093/europace/eut337 · Cited by 54 · see citing works
de Asmundis, C., Conte, G., Sieira, J., Chierchia, G.-B., Rodriguez-Manero, M., Di Giovanni, G., Ciconte, G., Levinstein, M., Baltogiannis, G., Saitoh, Y., et al. (2014) · Europace · doi:10.1093/europace/eut411 · Cited by 52 · see citing works
Ambulatory ECG Monitoring in Atrial Fibrillation Management
Rosero, S. Z., Kutyifa, V., Olshansky, B., & Zaręba, W. (2013) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2013.10.001 · Cited by 51 · see citing works
Clinical Utility of SMBG: Recommendations on the Use and Reporting of SMBG in Clinical Research
Schnell, O., Barnard, K. D., Bergenstal, R. M., Bosi, E., Garg, S. K., Guerci, B., Haak, T., Hirsch, I. B., Ji, L., Joshi, S. R., et al. (2015) · Diabetes Care · doi:10.2337/dc14-2919 · Cited by 36 · see citing works
Bolourchi, M., & Batra, A. S. (2014) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2014.12.014 · Cited by 34 · see citing works
Balsam, P., Lodziński, P., Tymińska, A., Ozierański, K., Januszkiewicz, Ł. J., Główczyńska, R., Wesołowska-Górniak, K., Peller, M., Pietrzak, R., Książczyk, T. M., et al. (2017) · Cardiology Journal · doi:10.5603/cj.a2017.0102 · Cited by 32 · see citing works
Soni, A., Earon, A., Handorf, A., Fahey, N., Talati, K. N., Bostrom, J., Chon, K. H., Napolitano, C. A., Chin, M., Sullivan, J., et al. (2016) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.6517 · Cited by 30 · see citing works
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Mitchell, A. R. J., & Page, P. L. (2015) · BMJ Innovations · doi:10.1136/bmjinnov-2014-000029 · Cited by 13 · see citing works
Schuchert, A., Behrens, G., & Meinertz, T. (2002) · Zeitschrift für Kardiologie · doi:10.1007/s392-002-8373-4 · Cited by 10 · see citing works
Comparison of clinical-based and ECG-based triage of acute chest pain in the Emergency Department
Dechamps, M., Castanares‐Zapatero, D., Berghe, P. V., Meert, P., & Manara, A. (2016) · Internal and Emergency Medicine · doi:10.1007/s11739-016-1558-8 · Cited by 8 · see citing works
Rekhviashvili, A., Baganashvili, E., Tan, K. Y., Raymakers, F., & Ts, S. (2012) · PubMed · Cited by 6 · see citing works
Gupta, M., Kurmi, M. P., Sharma, B. R., Chen, L., Sahi, R., & Jian, S. (2015) · Nepalese Heart Journal · doi:10.3126/njh.v12i1.12324 · Cited by 4 · see citing works
Marazzi, G., Iellamo, F., Volterrani, M., Lombardo, M., Pelliccia, F., Righi, D., Grieco, F., Cacciotti, L., Iaia, L., Caminiti, G., et al. (2014) · Advances in Therapy · doi:10.1007/s12325-014-0172-2 · Cited by 3 · see citing works
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- Mason J, 2000, Cecil textbook of medicine XXI edn, 230
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Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring
Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348 · see citing works
“The blood pressure cuff, ECG patch, and Holter monitor are also not often used for long-term remote monitoring [24].”
BackgroundAdvancing flexible thermoelectrics for integrated electronics
Shi, X., Wang, L., Lyu, W., Cao, T., Chen, W., Hu, B., & Chen, Z. (2024) · Chemical Society Reviews · doi:10.1039/d4cs00361f · Cited by 188 · see citing works
Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation
Mannhart, D., Lischer, M., Knecht, S., du Fay de Lavallaz, J., Strebel, I., Serban, T., Vögeli, D., Schaer, B., Osswald, S., Mueller, C., et al. (2023) · JACC: Clinical Electrophysiology · doi:10.1016/j.jacep.2022.09.011 · Cited by 175 · see citing works
Kim, Y., Mahmood, M., Lee, Y.-K., Kim, N. K., Kwon, S., Herbert, R., Kim, D., Cho, H. C., & Yeo, W. (2019) · Advanced Science · doi:10.1002/advs.201900939 · Cited by 155 · see citing works
Putting the data before the algorithm in big data addressing personalized healthcare
Cahan, E. M., Hernandez-Boussard, T., Thadaney-Israni, S., & Rubin, D. L. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0157-2 · Cited by 149 · see citing works
“15 Nevertheless, the virtue of algorithms mobilizing big data has seemed ironclad by this immensity of N value.”
BackgroundA Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future Trends
Yang, Y., Wang, H., Jiang, R., Guo, X., Cheng, J., & Chen, Y. J. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3144400 · Cited by 126 · see citing works
Hasan, M. N., Marwan Nafea, M., Nayan, N., & Ali, M. S. M. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202101203 · Cited by 119 · see citing works
Accuracy of mHealth Devices for Atrial Fibrillation Screening: Systematic Review
Giebel, G. D., & Gissel, C. (2019) · JMIR mHealth and uHealth · doi:10.2196/13641 · Cited by 99 · see citing works
“Among the reviews of the use of mHealth for the diagnosis, treatment, and prevalence estimation of arrhythmias [14-26], only one systematic review focused on outpatient cardiac rhythm monitoring in cryptogenic stroke [16].”
BackgroundNguyen, Q. H., Nguyen, B. P., Nguyen, T. B., Do, T. T. T., Mbinta, J. F., & Simpson, C. R. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102672 · Cited by 95 · see citing works
The Use of Wearable ECG Devices in the Clinical Setting: A Review
Kamga, P., Mostafa, R., & Zafar, S. (2022) · Current Emergency and Hospital Medicine Reports · doi:10.1007/s40138-022-00248-x · Cited by 94 · see citing works
Mobile health applications for the detection of atrial fibrillation: a systematic review
Lopez Perales, C. R., Van Spall, H. G. C., Maeda, S., Jimenez, A., Laţcu, D. G., Milman, A., Kirakoya-Samadoulougou, F., Mamas, M. A., Muser, D., & Casado Arroyo, R. (2021) · EP Europace · doi:10.1093/europace/euaa139 · Cited by 77 · see citing works
“The combination of these sensors and contact points yield the six classic frontal leads of a full 12-lead ECG.17 The third method is based on mechanocardiography principles.”
MethodInfluentialEmerging Technologies for Identifying Atrial Fibrillation
Ding, E., Marcus, G. M., & McManus, D. D. (2020) · Circulation Research · doi:10.1161/circresaha.119.316342 · Cited by 77 · see citing works
Recent Developments and Future Directions of Wearable Skin Biosignal Sensors
Kim, D., Min, J., & Ko, S. H. (2023) · Advanced Sensor Research · doi:10.1002/adsr.202300118 · Cited by 77 · see citing works
Nam, K. H., Kim, D. H., Choi, B. K., & Han, I. H. (2019) · Neurospine · doi:10.14245/ns.1938388.194 · Cited by 70 · see citing works
“51 Thus, it is valuable for prevention of acute cardiac arrest or improvement of survival rate in patients requiring urgent treatment.”
BackgroundLi, Y., Luo, J.-H., Dai, Q., Eshraghian, J. K., Ling, B. W., Zheng, C.-Y., & Wang, X. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.104188 · Cited by 70 · see citing works
Faruk, N., Abdulkarim, A., Emmanuel, I., Folawiyo, Y. Y., Adewole, K. S., Mojeed, H. A., Oloyede, A. A., Olawoyin, L. A., Sikiru, I. A., Nehemiah, M., et al. (2021) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2021.02.007 · Cited by 65 · see citing works
AffectiveWall: Designing Collective Stress-Related Physiological Data Visualization for Reflection
Xue, M., Liang, R.-H., Yu, B., Funk, M., Hu, J., & Feijs, L. (2019) · IEEE Access · doi:10.1109/access.2019.2940866 · Cited by 39 · see citing works
“workplace in our daily life, the sensing method could be improved by using more unobtrusive and portable sensors, such as wearable ECG sensors [72] with a wireless data collection mechanism.”
MethodECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation
Melzi, P., Tolosana, R., & Vera-Rodríguez, R. (2023) · IEEE Access · doi:10.1109/access.2023.3244651 · Cited by 55 · see citing works
““Off-the-person” recording provides more noise and variability compared to traditional “on-the-person” recording [18], but it is considered more reasonable and aligned with industrial requirements when using ECG signals for biometric recognition [25], [26].”
BackgroundKoo, N., & Cho, S. (2020) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2020.3005768 · Cited by 51 · see citing works
“Thus, ECG devices with two electrodes instead of three have been gaining increasing popularity [1].”
BackgroundRole of wearable rhythm recordings in clinical decision making—The <scp>wEHRAbles</scp> project
Manninger, M., Kosiuk, J., Zweiker, D., Njeim, M., Antolic, B., Kircanski, B., Larsen, J. M., Svennberg, E., Vanduynhoven, P., & Duncker, D. (2020) · Clinical Cardiology · doi:10.1002/clc.23404 · Cited by 50 · see citing works
“Devices utilize two methods for heart rhythm analysis— photoplethysmography (PPG) or ECG (Table 1).(1) PPG is based on light emitting and light sensing diodes that estimate heart rate from changes in blood volume caused by peripheral pulsations.”
MethodManninger, M., Zweiker, D., Svennberg, E., Chatzikyriakou, S. V., Pavlović, N., Zaman, J. A. B., Kirćanski, B., Lenarczyk, R., Vanduynhoven, P., Kosiuk, J., et al. (2021) · EP Europace · doi:10.1093/europace/euab064 · Cited by 49 · see citing works
“Recently, multiple widely available wearable devices have been developed that can assess heart rate and rhythm using either photoplethysmography (PPG) or electrocardiogram (ECG).(1,2) These technologies allow detection of irregular rhythm and lead to faster diagnosis of atrial fibrillation (AF), the most common sustai…”
BackgroundFeasibility and Reliability of SmartWatch to Obtain 3-Lead Electrocardiogram Recordings
Behzadi, A., Shamloo, A. S., Mouratis, K., Hindricks, G., Arya, A., & Bollmann, A. (2020) · Sensors · doi:10.3390/s20185074 · Cited by 44 · see citing works
“We believe that what is happening to smartwatch ECG is somewhat similar to what has already happened to other personal health monitoring devices, such as home glucose and blood pressure monitors, as there were some concerns about their utility and reliability when they were introduced to the market, but, gradually, it…”
BackgroundBaldassarre, A., Mucci, N., Padovan, M., Pellitteri, A., Viscera, S., Lecca, L. I., Galea, R. P., & Arcangeli, G. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17144975 · Cited by 42 · see citing works
Human Body–Electrode Interfaces for Wide-Frequency Sensing and Communication: A Review
Polachan, K., Chatterjee, B., Weigand, S., & Sen, S. (2021) · Nanomaterials · doi:10.3390/nano11082152 · Cited by 40 · see citing works
“Differencing the potential across these electrodes yields the electrocardiogram (ECG), a biopotential signal representing human heart activity [82].”
BackgroundA Low-cost, Low-energy Wearable ECG System with Cloud-Based Arrhythmia Detection
Huda, N., Khan, S. N., Abid, R., Shuvo, S. B., Labib, M. M., & Hasan, T. (2020) · IEEE Region 10 Symposium (TENSYMP) · doi:10.1109/tensymp50017.2020.9230619 · Cited by 38 · see citing works
“In [12], the authors present a detailed review of available wearable ECG devices, including AliveCore, Zio patch, Reka, and Omron heartscan.”
BackgroundAir‐Permeable Waterproofing Electrocardiogram Patch to Monitor Full‐Day Activities for Multiple Days
Oh, J., Jang, S. G., Moon, S., Kim, J., Park, H. K., Kim, H. S., Park, S., & Jeong, U. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202102703 · Cited by 37 · see citing works
Kwon, S., Lee, S., Choi, E., Ahn, H., Song, H. S., Lee, Y.-S., Oh, S., & Lip, G. Y. H. (2022) · Journal of Medical Internet Research · doi:10.2196/37970 · Cited by 37 · see citing works
“Recently, wearable or portable ECG monitoring devices have become widely accepted for AF detection [14].”
BackgroundWang, M., Rahardja, S., Fränti, P., & Rahardja, S. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.104067 · Cited by 37 · see citing works
Survey on atrial fibrillation detection from a single-lead ECG wave for Internet of Medical Things
Liu, Y., Chen, J., Bao, N., Gupta, B. B., & Lv, Z. (2021) · Computer Communications · doi:10.1016/j.comcom.2021.08.002 · Cited by 35 · see citing works
Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology
van de Leur, R. R., Boonstra, M., Bagheri, A., Roudijk, R. W., Sammani, A., Taha, K., Doevendans, P. A., van der Harst, P., van Dam, P. M., Hassink, R. J., et al. (2020) · Arrhythmia & Electrophysiology Review · doi:10.15420/aer.2020.26 · Cited by 33 · see citing works
“Several tools, such as implantable devices or smartwatch and smartphonebased devices, are becoming more widely used and continuously generate large amounts of data which would be impossible to evaluate manually.(66) Arrhythmia detection algorithms based on DNNs trained on large cohorts of ambulatory patients with a si…”
BackgroundDesign and data analysis of wearable sports posture measurement system based on Internet of Things
Zhao, Y., & You, Y. (2020) · Alexandria Engineering Journal · doi:10.1016/j.aej.2020.10.001 · Cited by 32 · see citing works
Kwon, S., Lee, S., Choi, E., Ahn, H., Song, H.-S., Lee, Y.-S., & Oh, S. (2021) · Sensors · doi:10.3390/s21093122 · Cited by 32 · see citing works
“There have been adhesive patch-type devices by attaching electrodes to the precordium or handheldtype devices that can be carried by a patient [26,27,29,30].”
BackgroundCongestive Heart Failure Detection From ECG Signals Using Deep Residual Neural Network
Prabhakararao, E., & Dandapat, S. (2022) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2022.3221843 · Cited by 31 · see citing works
“This requirement limits these methods’ applicability in the mobile medical and remote diagnosis systems using portable ECG devices with storage memory constraints [17], [18], [19].”
MethodLiu, L.-R., Huang, M.-Y., Huang, S.-T., Kung, L.-C., Lee, C.-H., Yao, W., Tsai, M., Hsu, C., Chu, Y.-C., Hung, F.-H., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27200 · Cited by 34 · see citing works
“Although portable multi-lead ECG are available on the market, they are not suitable for long-term use by the general public, and the results still require expert interpretation [4].”
BackgroundActigraphy as an assessment of performance status in patients with advanced lung cancer
Fujisawa, D., Temel, J. S., Greer, J. A., El-Jawahri, A. R., Traeger, L. N., Jacobs, J. M., Cutrono, S. E., & Pirl, W. F. (2019) · Palliative & Supportive Care · doi:10.1017/s1478951518001074 · Cited by 31 · see citing works
“With recent advancement of technology, wearable devices have been drawing increasing attention in medical field (Bansal & Joshi, 2018; Tedesco et al., 2017; Wang & Hu, 2018) and can serve to monitor physical activity (as well as inactivity).”
BackgroundSilva, A. D. S., Almeida, H., Silva, H., & Oliveira, A. M. B. (2021) · Scientific Reports · doi:10.1038/s41598-021-85697-2 · Cited by 28 · see citing works
Using a Smartwatch to Record Precordial Electrocardiograms: A Validation Study
van der Zande, J. L., Strik, M., Dubois, R., Ploux, S., Abu-Alrub, S., Caillol, T., Nasarre, M., Donker, D. W., Oppersma, E., & Bordachar, P. (2023) · Sensors · doi:10.3390/s23052555 · Cited by 28 · see citing works
“In addition, more and more consumers present with diagnostic ECG tracings of clinically relevant paroxystic arrhythmias acquired using a smartwatch [1,9].”
BackgroundFetal Arrhythmia Detection Using Fetal ECG Signal
Pavel, M. S. R., Islam, M. R., & Siddiqee, A. M. (2019) · IEEE International Conference on Telecommunications and Photonics (ICTP) · doi:10.1109/ictp48844.2019.9041789 · Cited by 27 · see citing works
“Moreover, portable wearable ECG devices have made it possible to monitor heart rate continuously [10].”
BackgroundRobust PPG-based Ambulatory Heart Rate Tracking Algorithm
Huang, N. J., & Selvaraj, N. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9175346 · Cited by 27 · see citing works
“However, the traditional wired ECG recorders such as Holter/portable telemetry monitors, and the emerging adhesive based ECG devices are uncomfortable and limited for continuous long-term monitoring applications [1].”
BackgroundAnytime ECG Monitoring through the Use of a Low-Cost, User-Friendly, Wearable Device
Randazzo, V., Ferretti, J., & Pasero, E. G. A. (2021) · Sensors · doi:10.3390/s21186036 · Cited by 26 · see citing works
Al-Sheikh, B. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3256959 · Cited by 23 · see citing works
“recordings despite their reliability [2] and need professional or trained staff for the measurement.”
BackgroundWearable-basierte Detektion von Arrhythmien
Veltmann, C., Ehrlich, J. R., Gassner, U. M., Meder, B., Möckel, M. M., Radke, P. W., Scholz, E., Schneider, H., Stellbrink, C., & Duncker, D. (2021) · Der Kardiologe · doi:10.1007/s12181-021-00488-3 · Cited by 23 · see citing works
“Eine Übersicht über aktuell verfügbare Systeme bietet die Übersichtsarbeit von Bansal und Joshi [2].”
BackgroundElectrocardiogram Devices for Home Use: Technological and Clinical Scoping Review
Zepeda-Echavarria, A., van de Leur, R. R., van Sleuwen, M., Hassink, R. J., Wildbergh, T. X., Doevendans, P. A., Jaspers, J., & van Es, R. (2023) · JMIR Cardio · doi:10.2196/44003 · Cited by 24 · see citing works
“Previous review studies on mobile ECG devices have focused primarily on wearable sensors that can be used in and outside of the clinic, the technological taxonomy of ECG devices, an analysis of single- and 3-lead devices, adhesive ECG patch devices, and devices focused only on diagnosing rhythm disorders and conductio…”
BackgroundDevelopment of Wearable Wireless Electrocardiogram Detection System using Bluetooth Low Energy
Jung, J., Shin, S., Kang, M., Kang, K. H., & Kim, Y. T. (2021) · Electronics · doi:10.3390/electronics10050608 · Cited by 20 · see citing works
“Thus, onset of symptoms such as chest pain, angina, dyspnea, palpitations, and syncope must be immediately diagnosed for optimal treatment [2].”
BackgroundJewson, J., Orchard, J. W., Semsarian, C., Fitzpatrick, J., Gerche, A. L., & Orchard, J. J. (2022) · European Heart Journal - Case Reports · doi:10.1093/ehjcr/ytac126 · Cited by 18 · see citing works
“Smartphone ECG (iECG) devices are highly portable and can record an ECG trace without the need for bulky or invasive equipment.(7) The original iECG has two sensors and can record a single-lead ECG, which is either Lead I (right and left hand), an approximation of Lead II (right hand to left knee) or a pre-cordial lea…”
BackgroundECG Signal Quality Assessments of a Small Bipolar Single-Lead Wearable Patch Sensor
Rajbhandary, P. L., Nallathambi, G., Selvaraj, N., Tran, T. V., & Colliou, O. K. (2022) · Cardiovascular Engineering and Technology · doi:10.1007/s13239-022-00617-3 · Cited by 19 · see citing works
Smart devices to measure and monitor QT intervals
Hoek, L. J., Brouwer, J. L. P., Voors, A. A., & Maass, A. H. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1172666 · Cited by 18 · see citing works
Advancing ECG Biometrics Through Vision Transformers: A Confidence-Driven Approach
d’Angelis, O., Bacco, L., Vollero, L., & Merone, M. (2023) · IEEE Access · doi:10.1109/access.2023.3338191 · Cited by 18 · see citing works
“This method is less invasive and costly [13], which makes it more suitable for real-world applications [14], [15], [16].”
MethodThe Reliability of the Apple Watch’s Electrocardiogram
Alnasser, S., Alkalthem, D., Alenazi, S., Alsowinea, M., Alanazi, N., & Fagih, A. R. A. (2023) · Cureus · doi:10.7759/cureus.49786 · Cited by 18 · see citing works
Beers, L., van Adrichem, L. P., Himmelreich, J. C. L., Karregat, E. P. M., de Jong, J. S. S. G., Postema, P. G., de Groot, J. R., Lucassen, W. A. M., & Harskamp, R. E. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-055072 · Cited by 18 · see citing works
Bergeman, A. T., Pultoo, S. N. J., Winter, M. M., Somsen, G. A., Tulevski, I. I., Wilde, A. A. M., Postema, P. G., & van der Werf, C. (2022) · Netherlands Heart Journal · doi:10.1007/s12471-022-01716-5 · Cited by 17 · see citing works
“The available literature on the utility of mECGs for measuring the QTc mostly describes single-lead devices and shows mixed results [3].”
BackgroundOverview of Wearable Healthcare Devices for Clinical Decision Support in the Prehospital Setting
Gathright, R., Mejia, I., Gonzalez, J. M., Torres, S. I. H., Berard, D., & Snider, E. J. (2024) · Sensors · doi:10.3390/s24248204 · Cited by 17 · see citing works
Wearable ECG for Real Time Complex P-QRS-T Detection and Classification of Various Arrhythmias
Mishra, B., Arora, N., & Vora, Y. (2019) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets.2019.8711218 · Cited by 17 · see citing works
External Cardiac Loop Recorders: Functionalities, Diagnostic Efficacy, Challenges and Opportunities
Rajanna, R. R., Sriraam, N., Prakash, V. S. R., Vittal, P. R., Arun, U., & Sahoo, S. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2021.3055219 · Cited by 17 · see citing works
Garikapati, K., Turnbull, S., Bennett, R. G., Campbell, T. G., Kanawati, J., Wong, M. S., Thomas, S. P., Chow, C. K., & Kumar, S. (2022) · Heart Lung and Circulation · doi:10.1016/j.hlc.2022.08.001 · Cited by 17 · see citing works
Dense neural network based arrhythmia classification on low-cost and low-compute micro-controller
Zishan, M. A. O., Shihab, H. M., Islam, S. S., Riya, M. A., Rahman, G. M., & Noor, J. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122560 · Cited by 16 · see citing works
“Figure 1: Single-lead ECG devices (Bansal & Joshi, 2018)”
Karregat, E. P. M., Himmelreich, J. C. L., Lucassen, W. A. M., Busschers, W. B., van Weert, H. C. P. M., & Harskamp, R. E. (2020) · Family Practice · doi:10.1093/fampra/cmaa076 · Cited by 17 · see citing works
“sinus tachycardia); (4) bradycardia (<45 bpm); (5) high-grade AV block; (6) bundle branch block; (7) other findings (e.”
BackgroundDesign of a Low-Power Ground-Free Analog Front End for ECG Acquisition
Watcharapongvinit, K., Yongpanich, I., & Wattanapanitch, W. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3249742 · Cited by 15 · see citing works
“To alleviate this problem, long-term or even daily short-term one-lead electrocardiogram (ECG) monitoring devices, if can be produced sufficiently cheaply, may have potential as an early detection tool to help raise health awareness and prevent sudden death from heart failure [2], [3], [4], [5].”
BackgroundBasic technology and proper usage of home health monitoring devices
Mondal, H., & Mondal, S. (2021) · Malaysian Family Physician · doi:10.51866/rv1097 · Cited by 15 · see citing works
Design of Low Power and Low Noise Instrumentation Amplifier for Biopotential Acquisition: A Review
Koo, N. (2025) · IEEE Access · doi:10.1109/access.2025.3537998 · Cited by 14 · see citing works
Phillips, J. S., Newman, J. L., & Cox, S. J. (2021) · Otology & Neurotology · doi:10.1097/mao.0000000000003083 · Cited by 14 · see citing works
“Parallels can be drawn between this device and the 24-hour electrocardiography (ECG) tape that is used to identify cardiac arrhythmias (10).”
BackgroundASIC implementation of ECG denoising FIR filter by using hybrid Vedic–Wallace tree multiplier
Janwadkar, S., & Dhavse, R. (2023) · International Journal of Circuit Theory and Applications · doi:10.1002/cta.3844 · Cited by 13 · see citing works
Detection of acute coronary occlusion with a novel mobile electrocardiogram device: a pilot study
Zepeda-Echavarria, A., van de Leur, R. R., Vessies, M. B., de Vries, N. M., van Sleuwen, M., Hassink, R. J., Wildbergh, T. X., van Doorn, J. L., van der Zee, R., Doevendans, P. A., et al. (2024) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztae002 · Cited by 14 · see citing works
Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes
Calvo-Morata, A., Freire, M., Martínez‐Ortiz, I., & Fernández‐Manjón, B. (2022) · IEEE Access · doi:10.1109/access.2022.3213070 · Cited by 12 · see citing works
“Reference [19] reviews the use of the signal generated by the electrical activity of the skin (EDA) in different studies applied to learning and [20] review the use of electrocardiography (ECG) out of hospitals.”
BackgroundTeo, J. T., Johnstone, S. J., & Thomas, S. J. (2023) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2023.04.002 · Cited by 13 · see citing works
Saravanakumar, C., Srinivasan, C., & Selvam, I. J. (2024) · International Journal of Circuit Theory and Applications · doi:10.1002/cta.4289 · Cited by 12 · see citing works
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“This is beneficial in detecting pathological signatures and arrhythmias [19], especially in patients in the latter stages of permanent AF [20].”
BackgroundJanwadkar, S., & Dhavse, R. (2024) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2024.105048 · Cited by 11 · see citing works
Gao, S., Cui, Z., Wang, X., & Sun, X. (2023) · Science China Technological Sciences · doi:10.1007/s11431-022-2301-0 · Cited by 11 · see citing works
Origins of ECG and Evolution of Automated DSP Techniques: A Review
Arora, N., & Mishra, B. (2021) · IEEE Access · doi:10.1109/access.2021.3119630 · Cited by 10 · see citing works
“Interested readers can find the wearable devices review in [7].”
BackgroundKhan, A., Mughal, M. R., Irtaza, S. A., Khan, M. I., Tahir, M., Ali, A., & Saeed, Z. (2025) · IEEE Access · doi:10.1109/access.2025.3567093 · Cited by 9 · see citing works
“Advancements in technology have enhanced the availability of portable and wearable ECG equipment for detecting A-Fib [16].”
New Technologies for Detection and Management of Atrial Fibrillation
Hamad, A. K. (2021) · Journal of the Saudi Heart Association · doi:10.37616/2212-5043.1256 · Cited by 10 · see citing works
“The limiting factors include requiring access to smartphone, not recommended for use in children and those with implanted electronic devices [19,20].”
BackgroundTarniceriu, A., Vuohelainen, V., Haddad, S., Halkola, T., Parák, J., Laurikka, J. O., & Vehkaoja, A. T. (2019) · Computing in cardiology · doi:10.22489/cinc.2019.374 · Cited by 9 · see citing works
Miletić, M., Atanasoski, V. A., Beličev, P. P., Gligorić, G., Ralević, U., Kršić, J., Obradović, A. D., Lazović, A., Stojanović, D. B., Petrovic, J. S., et al. (2024) · IEEE Access · doi:10.1109/access.2024.3408412 · Cited by 8 · see citing works
“Therefore, special attention is directed towards the development of reliable and economically accessible technologies and algorithms for diagnosing and monitoring cardiovascular diseases at any time or place [3], [4].”
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“A review of validated commercial out-of-hospital ECG devices was performed by Bansal and Joshi [72].”
MethodEvaluating Deep Learning Algorithms for Real-Time Arrhythmia Detection
Petty, T., Vu, T., Zhao, X., Hirsh, R. A., Murray, G., Haas, F. M., & Xue, W. (2020) · IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) · doi:10.1109/bdcat50828.2020.00022 · Cited by 7 · see citing works
“Cardiovascular diseases, such as heart attack and congestive heart failure, are the leading cause of death both in the United States and worldwide, accounting for 610,000 and 17.9 million deaths per year, respectively [5], [6], [7].”
BackgroundInfluentialEffect of noise on the electrocardiographic parameters
Taşcanov, M. B., Havlıoğlu, S., Tanrıverdi, Z., Güngören, F., & Altıparmak, İ. H. (2021) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-021-01676-0 · Cited by 7 · see citing works
Smartphone and new tools for atrial fibrillation diagnosis: evidence for clinical applicability
PAPACCIOLI, G., BASSI, G., Cecilia, L. U. G. I., Parente, E., D’ANDREA, A., PROIETTI, R., Imbalzano, E., TURKI, A. A., & Russo, V. (2022) · Minerva Cardiology and Angiology · doi:10.23736/s2724-5683.22.05841-0 · Cited by 7 · see citing works
Momota, M. M. R., & Morshed, B. I. (2022) · Smart Health · doi:10.1016/j.smhl.2022.100350 · Cited by 7 · see citing works
Tu, H., Li, Z., Chen, Z., Gao, Y., & Xuan, F. (2024) · Sensors · doi:10.3390/s24216991 · Cited by 6 · see citing works
“In terms of signal amplitude accuracy, the precision basically reaches the level of portable out-of-hospital electrocardiography [29].”
BackgroundSantala, O. E., Lipponen, J. A., Jäntti, H., Rissanen, T. T., Tarvainen, M. P., Väliaho, E., Rantula, O., Naukkarinen, N. S., Hartikainen, J. E. K., Martikainen, T. J., et al. (2023) · Cardiology in Review · doi:10.1097/crd.0000000000000526 · Cited by 8 · see citing works
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Detection of Ischemic ST-Segment Changes Using a Novel Handheld ECG Device in a Porcine Model
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Romito, G., Castagna, P., Sabetti, M. C., Ablondi, M., & Cipone, M. (2023) · Veterinary Record · doi:10.1002/vetr.2879 · Cited by 6 · see citing works
Biomedical Instrumentation: Focus Toward Point-of-Care Devices
Choudhary, S., Pandey, G., Mukherjee, R., & Joshi, A. (2019) · Springer eBooks · doi:10.1007/978-981-13-3705-5_13 · Cited by 6 · see citing works
Tao, X., Dutson, J., Zeng, C., Asker, C., Luong, S., Reza, A., Hao, B., Zhang, Z., Ellingford, J., Bonilla, R. S., et al. (2024) · Advanced Materials Technologies · doi:10.1002/admt.202301958 · Cited by 5 · see citing works
Ricci, F., Mattei, E., Calcagnini, G., & Censi, F. (2025) · Expert Review of Medical Devices · doi:10.1080/17434440.2025.2510537 · Cited by 5 · see citing works
Gender Classification Using nonstandard ECG Signals - A Conceptual Framework of Implementation
Zacarias, H., Felizardo, V., Souza-Pereira, L., Pinho, A., Ramos, S., Pourvahab, M., García, N. M., & Pombo, N. G. C. C. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-28663-6_9 · Cited by 5 · see citing works
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“These devices have drawn attention [5], [6] due to their compact form factor that facilitates long-term ECG detection and recording [7].”
Accurate low-delay QRS detection algorithm for real-time ECG acquisition in IoT sensors
Kim, S., Kim, C., Yoo, Y., & Kim, Y. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101537 · Cited by 5 · see citing works
Wang, H., Wang, J., Jing, W., Dai, S., Zhang, D., Geng, S., Wang, H., & Hong, S. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-02952-6 · Cited by 5 · see citing works
“In addition, a significant portion of this evidence originates from high-income countries, with only a limited number of studies conducted in low-and middle-income countries, including China [5, 15].”
InfluentialLow-Cost, Low-Power, and Low-Compute Based ECG Monitoring Systems: Comparative Analysis and Beyond
Zishan, M. A. O., Shihab, H. M., Islam, S. S., Riya, M. A., Rahman, G. M., & Noor, J. (2022) · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · doi:10.1109/3ict56508.2022.9990730 · Cited by 5 · see citing works
“1: Single-lead ECG devices [4]. reviewed were not able to implement a dual ECG data transfer mechanism, proceed to real-time commercialization, and had a limited scope of diagnosis.”
BackgroundTelemedicine in the Era of a Pandemic: Usefulness of a Novel Three-Lead ECG
Babić, M., Veljković, S., Lakčević, J., Babić, R., Ostojić, M., Petrovic, M. G., Boljević, D., Tomic, S., Bojić, M., & Nikolić, A. (2023) · Diagnostics · doi:10.3390/diagnostics13152525 · Cited by 5 · see citing works
Informationstechnologie und E-Health zur Verbesserung der Patientensicherheit
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Design and development of a phonocardiograph for telemedicine applications
Mohamadou, Y., Kapen, P. T., Foutse, M., Kamga, A. L. K., Docna, O., Moniruzzaman, M., Ahmad, M., & Rabbani, K. S. E. (2022) · Health and Technology · doi:10.1007/s12553-022-00646-x · Cited by 5 · see citing works
“Electrocardiography (ECG) has been extensively used in the monitoring and detection of heart related anomalies in out-of-hospital settings [3].”
A new trauma severity scoring system adapted to wearable monitoring: A pilot study
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Micro-ECG-monitoring system based on arduino with bluetooth feature
Das, S., Roy, S., Ghosh, S., Mukherjee, S., Bhattacharya, U., & RoyChowdhury, B. (2022) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2286/1/012006 · Cited by 4 · see citing works
Model-based estimation of heart movements using microwave Doppler radar sensor
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“There are portable and home-use ECGs with a smaller number of electrodes [34, 35].”
MethodTarniceriu, A., Vuohelainen, V., Haddad, S., Halkola, T., Parák, J., Laurikka, J. O., & Vehkaoja, A. T. (2019) · Tampere University Institutional Repository (Tampere University) · doi:10.23919/cinc49843.2019.9005734 · Cited by 4 · see citing works
“Current methods for detection and monitoring of atrial fibrillation include continuous ECG monitoring with multi lead Holter or single lead patch device [9], intermittent measurement with a device held between the hands [10] or pressed to the chest, and implanted loop recorder [11].”
Design of an Arrhythmia Detection System Using Wearable PPG Sensor
Ahmed, Y. K., Uddin, M. N., Masud, S. M., & Imam, H. (2019) · IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) · doi:10.1109/becithcon48839.2019.9063170 · Cited by 4 · see citing works
“KardiaMobile is a clinically validated device approved by FDA (Food and Drug Administration) [14].”
Method
- Authors
- Bansal, A., & Joshi, R.
- Affiliations
- All India Institute of Medical Sciences Bhopal (IN)
- Corresponding author
- Joshi, Rajnish
- Venue
- Journal of Arrhythmia
- Publisher
- Wiley
- Published
- 2018-02-23
- Volume
- 34
- Issue
- 2
- Pages
- 129-138
- ISSN
- 1880-4276 (ISSN-L)
- 1883-2148
- PMC
- PMC5891427
- OpenAlex
- W2790931684
- Semantic Scholar
- 366b637a490017541db552808415fad5e610145f
- Cited by
- 174
- References
- 33
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 19 · 2023: 32 · 2022: 23 · 2021: 31 · 2020: 21 · 2019: 21 · 2018: 2
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Arrhythmia (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- wearable ECG, Holter monitoring, diagnostic accuracy, data transmission
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