The DOI matches its Crossref record; 57 of the 58 references it cites were found in a registry or an index.
Wearables in cardiology: Here to stay
Abstract
The adoption of wearables in medicine has rapidly expanded worldwide. New generations of wearables are emerging, driven by consumers' demand to monitor their own health. With the ongoing development of new features capable of assessing real-time biometric data, the impact of wearables on cardiovascular management has become inevitable. Smartwatches, among other wearable devices, offer a user-friendly noninvasive approach to continuously monitor for health parameters. With advancements in artificial intelligence, the photoplethysmography-generated pulse waveform has the potential to accurately detect episodes of atrial fibrillation and one day could replace conventional diagnostic and long-term monitoring methods. Clinical benefits that could arise from the use of such devices include refining stroke prevention strategies, personalizing AF management, and optimizing the patient-physician relationship. Wearables are changing not only the way clinicians conduct research but also the future of cardiovascular preventive and therapeutic care. As such, wearables are here to stay.
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“Skin colour, moisture and even tattoos have also been postulated to affect PPG accuracy20”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [20]
In the citing paper
“These studies highlight that PPG HR readings from wrist-worn devices during activity should be interpreted with caution20, whereas less convenient, chest-strap monitors are more accurate.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [20]
In the citing paper
“Wearables might be a convenient tool to diagnose asymptomatic or symptomatic AF20.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [20]
Citations
Cites
Photoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967
Calkins, H. G., Hindricks, G., Cappato, R., Kim, Y., Saad, E., Aguinaga, L., Akar, J. G., Badhwar, V., Brugada, J., Camm, A. J., et al. (2017) · Heart Rhythm · doi:10.1016/j.hrthm.2017.05.012 · Cited by 2,794
Cryptogenic stroke and underlying atrial fibrillation
Sanna, T., Diener, H.-C., Passman, R. S., Di Lazzaro, V., Bernstein, R. A., Morillo, C. A., Rymer, M. M., Thijs, V., Rogers, T., Beckers, F., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1313600 · Cited by 2,161
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Perez, M. V., Mahaffey, K. W., Hedlin, H., Rumsfeld, J. S., Garcia, A., Ferris, T., Balasubramanian, V., Russo, A. M., Rajmane, A., Cheung, L., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1901183 · Cited by 1,917
Wearable Sensors for Remote Health Monitoring
Majumder, S., Mondal, T., & Deen, M. (2017) · Sensors · doi:10.3390/s17010130 · Cited by 1,375
Colilla, S., Crow, A., Petkun, W., Singer, D. E., Simon, T. A., & Liu, X. (2013) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2013.05.063 · Cited by 1,323
Calkins, H. G., Hindricks, G., Cappato, R., Kim, Y., Saad, E., Aguinaga, L., Akar, J. G., Badhwar, V., Brugada, J., Camm, A. J., et al. (2017) · EP Europace · doi:10.1093/europace/eux274 · Cited by 1,203
Long-Term Effect of Goal-Directed Weight Management in an Atrial Fibrillation Cohort
Pathak, R. K., Middeldorp, M. E., Meredith, M., Mehta, A. B., Mahajan, R., Wong, C. X., Twomey, D., Elliott, A. D., Kalman, J. M., Abhayaratna, W. P., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.03.002 · Cited by 1,036
Pathak, R. K., Middeldorp, M. E., Lau, D. H., Mehta, A. B., Mahajan, R., Twomey, D., Alasady, M., Hanley, L., Antic, N. A., McEvoy, R. D., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.09.028 · Cited by 949
Ghamari, M. (2018) · International Journal of Biosensors & Bioelectronics · doi:10.15406/ijbsbe.2018.04.00125 · Cited by 945
Wearable health devices-vital sign monitoring, systems and technologies
Dias, D., & Paulo Silva Cunha, J. (2018) · Sensors · doi:10.3390/s18082414 · Cited by 919
Wearable photoplethysmographic sensors—past and present
Tamura, T., Maeda, Y., Sekine, M., & Yoshida, M. (2014) · Electronics · doi:10.3390/electronics3020282 · Cited by 912
Brickwood, K.-J., Watson, G., O'Brien, J., & Williams, A. D. (2019) · JMIR mHealth and uHealth · doi:10.2196/11819 · Cited by 689
The use of photoplethysmography for assessing hypertension
Elgendi, M., Fletcher, R., Liang, Y., Howard, N., Lovell, N. H., Abbott, D., Lim, K., & Ward, R. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0136-7 · Cited by 625
Modifiable Risk Factors and Atrial Fibrillation
Lau, D. H., Nattel, S., Kalman, J. M., & Sanders, P. (2017) · Circulation · doi:10.1161/circulationaha.116.023163 · Cited by 614
Mass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study
Svennberg, E., Engdahl, J., Al-Khalili, F., Friberg, L., Frykman, V., & Rosenqvist, M. (2015) · Circulation · doi:10.1161/circulationaha.114.014343 · Cited by 605
Duration of device-detected subclinical atrial fibrillation and occurrence of stroke in ASSERT
Gelder, I. C. V., Healey, J. S., Crijns, H. J. G. M., Wang, J., Hohnloser, S. H., Gold, M. R., Capucci, A., Lau, C., Morillo, C. A., Hobbelt, A. H., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx042 · Cited by 604
Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch
Tison, G. H., Sanchez, J. M., Ballinger, B., Singh, A., Olgin, J. E., Pletcher, M. J., Vittinghoff, E., Lee, E. S., Fan, S. M., Gladstone, R. A., et al. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2018.0136 · Cited by 566
Chen, L. Y., Chung, M. K., Allen, L. A., Ezekowitz, M. D., Furie, K. L., McCabe, P. J., Noseworthy, P. A., Perez, M. V., & Turakhia, M. P. (2018) · Circulation · doi:10.1161/cir.0000000000000568 · Cited by 454
Hobbs, F., Fitzmaurice, D., Mant, J., Murray, E., Jowett, S., Bryan, S., Raftery, J., Davies, M., & Lip, G. (2005) · Health Technology Assessment · doi:10.3310/hta9400 · Cited by 437
Wearable flexible sweat sensors for healthcare monitoring: a review
Chung, M., Fortunato, G., & Radacsi, N. (2019) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0217 · Cited by 378
Daoud, E. G., Glotzer, T. V., Wyse, D. G., Ezekowitz, M. D., Hilker, C., Koehler, J., & Ziegler, P. D. (2011) · Heart Rhythm · doi:10.1016/j.hrthm.2011.04.022 · Cited by 326
Automatic Real Time Detection of Atrial Fibrillation
Dash, S. S., Chon, K. H., Lu, S., & Raeder, E. A. (2009) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9740-z · Cited by 314
Lu, S. F., Zhao, H., Ju, K., Shin, K., Lee, M., Shelley, K. H., & Chon, K. H. (2007) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-007-9103-y · Cited by 284
Mahajan, R., Perera, T., Elliott, A. D., Twomey, D. J., Kumar, S. K., Munwar, D. A., Khokhar, K. B., Thiyagarajah, A., Middeldorp, M. E., Nalliah, C. J., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx731 · Cited by 284
Gao, L. H., Zhang, Y., Malyarchuk, V., Jia, L., Jang, K., Webb, R. C., Fu, H., Shi, Y., Zhou, G., Shi, L., et al. (2014) · Nature Communications · doi:10.1038/ncomms5938 · Cited by 275
Stretch-Triggered Drug Delivery from Wearable Elastomer Films Containing Therapeutic Depots
Di, J., Yao, S., Ye, Y., Cui, Z., Yu, J., Ghosh, T. K., Zhu, Y., & Gu, Z. (2015) · ACS Nano · doi:10.1021/acsnano.5b03975 · Cited by 253
The WATCH AF trial: SmartWATCHes for detection of atrial fibrillation
Dörr, M., Nohturfft, V., Brasier, N., Bosshard, E., Djurdjevic, A., Gross, S., Raichle, C. J., Rhinisperger, M., Stöckli, R., & Eckstein, J. (2019) · JACC. Clinical electrophysiology · doi:10.1016/j.jacep.2018.10.006 · Cited by 245
Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation
Wasserlauf, J., You, C., Patel, R., Valys, A., Albert, D., & Passman, R. (2019) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.118.006834 · Cited by 245
Estimation of Respiratory Rate From Photoplethysmogram Data Using Time–Frequency Spectral Estimation
Chon, K. H., Dash, S., & Ju, K. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2019766 · Cited by 213
The usefulness and actual use of wearable devices among the elderly population
Kekade, S., Hseieh, C.-H., Islam, M. M., Atique, S., Khalfan, A. M., Li, Y., & Syed-Abdul, S. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.10.008 · Cited by 202
Patel, M. S., Small, D. S., Harrison, J. D., Fortunato, M. P., Oon, A. L., Rareshide, C. A. L., Reh, G., Szwartz, G., Guszcza, J., Steier, D. M., et al. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.3505 · Cited by 179
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Ballinger, B., Hsieh, J., Singh, A., Sohoni, N., Wang, J., Tison, G., Marcus, G., Sanchez, J., Maguire, C., Olgin, J., et al. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11891 · Cited by 156
William, A. D., Kanbour, M., Callahan, T., Bhargava, M., Varma, N., Rickard, J., Saliba, W., Wolski, K., Hussein, A., Lindsay, B. D., et al. (2018) · Heart Rhythm · doi:10.1016/j.hrthm.2018.06.037 · Cited by 154
Progression of Device-Detected Subclinical Atrial Fibrillation and the Risk of Heart Failure
Wong, J. A., Conen, D., Gelder, I. C. V., McIntyre, W. F., Crijns, H. J. G. M., Wang, J., Gold, M. R., Hohnloser, S. H., Lau, C., Capucci, A., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.03.519 · Cited by 152
Fonseca, P., Weysen, T., Goelema, M. S., Møst, E. I. S., Radha, M., Lunsingh Scheurleer, C., van den Heuvel, L., & Aarts, R. M. (2017) · SLEEP · doi:10.1093/sleep/zsx097 · Cited by 148
Tarakji, K. G., Wazni, O. M., Callahan, T. D., Kanj, M. H., Hakim, A. H., Wolski, K., Wilkoff, B. L., Saliba, W. I., & Lindsay, B. D. (2014) · Heart Rhythm · doi:10.1016/j.hrthm.2014.11.015 · Cited by 138
Jo, A., Coronel, B. D., Coakes, C. E., & Mainous, A. G. (2019) · The American Journal of Medicine · doi:10.1016/j.amjmed.2019.06.018 · Cited by 135
Adverse prognosis of incidentally detected ambulatory atrial fibrillation
Martínez, C., Katholing, A., & Freedman, S. B. (2014) · Thrombosis and Haemostasis · doi:10.1160/th4-04-0383 · Cited by 130
Chokshi, N. P., Adusumalli, S., Small, D. S., Morris, A. J., Feingold, J. H., Ha, Y. P., Lynch, M. D., Rareshide, C. A. L., Hilbert, V., & Patel, M. S. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009173 · Cited by 130
Steinberg, J. S., O’Connell, H., Li, S., & Ziegler, P. (2018) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.118.006274 · Cited by 126
Atrial fibrillation detection from wrist photoplethysmography signals using smartwatches
Bashar, S. K., Han, D., Hajeb-Mohammadalipour, S., Ding, E., Whitcomb, C., McManus, D. D., & Chon, K. H. (2019) · Scientific Reports · doi:10.1038/s41598-019-49092-2 · Cited by 120
Variability of Sleep Apnea Severity and Risk of Atrial Fibrillation
Linz, D., Brooks, A. G., Elliott, A. D., Nalliah, C. J., Hendriks, J. M. L., Middeldorp, M. E., Gallagher, C., Mahajan, R., Kalman, J. M., McEvoy, R. D., et al. (2019) · JACC: Clinical Electrophysiology · doi:10.1016/j.jacep.2019.03.005 · Cited by 110
Perino, A. C., Fan, J., Askari, M., Heidenreich, P. A., Keung, E. C., Raitt, M. H., Piccini, J. P., Ziegler, P., & Turakhia, M. P. (2019) · Circulation · doi:10.1161/circulationaha.118.038988 · Cited by 103
Recent Research and Developing Trends of Wearable Sensors for Detecting Blood Pressure
Arakawa, T. (2018) · Sensors · doi:10.3390/s18092772 · Cited by 100
Detection of atrial fibrillation episodes using a wristband device
Corino, V., Laureanti, R., Ferranti, L., Scarpini, G., Lombardi, F., & Mainardi, L. T. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa5dd7 · Cited by 95
Kwon, S., Hong, J., Choi, E., Lee, E., Hostallero, D. E., Kang, W. J., Lee, B., Jeong, E., Koo, B., Oh, S., et al. (2019) · JMIR mhealth and uhealth · doi:10.2196/12770 · Cited by 90
Fan, Y.-Y., Li, Y.-G., Li, J., Cheng, W.-K., Shan, Z.-L., Wang, Y.-T., & Guo, Y.-T. (2019) · JMIR mHealth and uHealth · doi:10.2196/11437 · Cited by 81
Yen, H., & Chiu, H. (2019) · Obesity Reviews · doi:10.1111/obr.12909 · Cited by 79
Continuous monitoring after atrial fibrillation ablation: the LINQ AF study
Wechselberger, S., Kronborg, M. B., Huo, Y., Piorkowski, J., Neudeck, S., Päßler, E., El‐Armouche, A., Richter, U., Mayer, J., Ulbrich, S., et al. (2018) · EP Europace · doi:10.1093/europace/euy038 · Cited by 73
Design of a garment-based sensing system for breathing monitoring
Guo, L., Berglin, L., Wiklund, U., & Mattila, H. (2012) · Textile Research Journal · doi:10.1177/0040517512444336 · Cited by 62
Aljuaid, M., Marashly, Q., Danaf, J. A., Tawhari, I. H., Barakat, M. M., Barakat, R., Zobell, B., Cho, W., Chelu, M. G., & Marrouche, N. F. (2020) · Clinical Medicine Insights Cardiology · doi:10.1177/1179546820901508 · Cited by 40
Self-citationQuisel, T., Foschini, L., Zbikowski, S. M., & Juusola, J. L. (2019) · Journal of Medical Internet Research · doi:10.2196/11486 · Cited by 38
Method for classifying cardiac arrhythmias using photoplethysmography
Polanía, L. F., Mestha, L. K., Huang, D. T.-C., & Couderc, J. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319899 · Cited by 31
Metoki, H., Ohkubo, T., & Imai, Y. (2010) · Hypertension Research · doi:10.1038/hr.2010.70 · Cited by 20
Wearable Biosensor Technologies
Tamsin, M. (2015) · Cited by 18
Bonomi, A., Eerik�inen, L. M., Schipper, F., Aarts, R. M., de Morree, H. M., & Dekker, L. (2017) · Computing in cardiology · doi:10.22489/cinc.2017.271-329 · Cited by 16
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Smart wearable devices in cardiovascular care: Where we are and how to move forward
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Sauerbrei, A., Kerasidou, A., Lucivero, F., & Hallowell, N. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02162-y · Cited by 353
“2020) [31] Exploratory review and opinion piece Assesses the role of wearables in cardiology and outlining the benefits associated with their use USA”
BackgroundWearable Devices for Physical Monitoring of Heart: A Review
Prieto-Avalos, G., Cruz-Ramos, N. A., Alor‐Hernández, G., Sánchez-Cervantes, J. L., Rodríguez-Mazahua, L., & Guarneros-Nolasco, L. R. (2022) · Biosensors · doi:10.3390/bios12050292 · Cited by 275
Huang, J.-D., Wang, J., Ramsey, E., Leavey, G., Chico, T., & Condell, J. V. (2022) · Sensors · doi:10.3390/s22208002 · Cited by 203
“With advancements in artificial intelligence, the signal acquired from the devices will help realise the potential to accurately detect episodes of atrial fibrillation and may replace conventional diagnostic and long-term monitoring methods [130].”
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
Metadata
- Authors
- Dagher, L., Shi, H., Zhao, Y., & Marrouche, N. F.
- Affiliations
- Tulane University (US)
- Corresponding author
- Marrouche, Nassir F.
- Venue
- Heart Rhythm
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 17
- Issue
- 5
- Pages
- 889-895
- ISSN
- 1547-5271 (ISSN-L)
- OpenAlex
- W3018275759
- Cited by
- 107
- References
- 58
- Citations by year
- 2026: 5 · 2025: 18 · 2024: 17 · 2023: 27 · 2022: 22 · 2021: 13 · 2020: 4
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Heart Rhythm (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- wearable devices, smartwatches, atrial fibrillation detection, photoplethysmography, pulse waveform, continuous cardiac monitoring, stroke prevention, artificial intelligence, cardiovascular management, physician-patient relationship
- MeSH terms
- Wearable Electronic Devices, Artificial Intelligence, Atrial Fibrillation, Cardiology, Electrocardiography, Equipment Design, Humans, Monitoring, Physiologic
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