Novel Wireless Devices for Cardiac Monitoring

Heart Disease and Stroke Statistics—2010 Update: A Report From the American Heart Association

WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R. J., Brown, T. M., Carnethon, M., Dai, S., De Simone, G., Ferguson, T. B., Ford, E., Furie, K., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192667 · Cited by 5,700

Heart Disease and Stroke Statistics—2009 Update

WRITING GROUP MEMBERS, Lloyd‐Jones, D. M., Adams, R. J., Carnethon, M. R., SIMONE, G. D., Ferguson, T. B., Flegal, K. M., Ford, E. S., Furie, K. L., Go, A. S., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191259 · Cited by 3,915

2009 Focused Update Incorporated Into the ACC/AHA 2005 Guidelines for the Diagnosis and Management of Heart Failure in Adults

Hunt, S. A., Abraham, W. T., Chin, M. H., Feldman, A. M., Francis, G. S., Ganiats, T. G., Jessup, M. L., Konstam, M. A., MANCINI, D. M., Michl, K., et al. (2009) · Circulation · doi:10.1161/circulationaha.109.192065 · Cited by 3,739

Heart Disease and Stroke Statistics—2009 Update: A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee

WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., Ford, E., Furie, K., Go, A., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191261 · Cited by 3,140

Characteristics and outcomes of patients hospitalized for heart failure in the United States: Rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE)

Adams, K. F., Fonarow, G. C., Emerman, C. L., LeJemtel, T. H., Costanzo, M. R., Abraham, W. T., Berkowitz, R. L., Galvao, M., & Horton, D. P. (2005) · American Heart Journal · doi:10.1016/j.ahj.2004.08.005 · Cited by 2,111

Exercise-based cardiac rehabilitation for coronary heart disease

Heran, B. S., Chen, J. M., Ebrahim, S., Moxham, T., Oldridge, N., Rees, K., Thompson, D. R., & Taylor, R. S. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001800.pub2 · Cited by 1,844

AHA/ACCF Secondary Prevention and Risk Reduction Therapy for Patients With Coronary and Other Atherosclerotic Vascular Disease: 2011 Update: A Guideline From the American Heart Association and American College of Cardiology Foundation

Smith, S. C., Benjamin, E. J., Bonow, R. O., Braun, L. T., Creager, M. A., Franklin, B. A., Gibbons, R. J., Grundy, S. M., Hiratzka, L. F., Jones, D. W., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318235eb4d · Cited by 1,759

Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial

Abraham, W. T., Adamson, P. B., Bourge, R. C., Aaron, M. F., Costanzo, M. R., Stevenson, L. W., Strickland, W., Neelagaru, S., Raval, N., Krueger, S., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60101-3 · Cited by 1,744

Time Delay to Treatment and Mortality in Primary Angioplasty for Acute Myocardial Infarction

Luca, G. D., Suryapranata, H., Ottervanger, J. P., & Antman, E. M. (2004) · Circulation · doi:10.1161/01.cir.0000121424.76486.20 · Cited by 1,541

Use of Cardiac Rehabilitation by Medicare Beneficiaries After Myocardial Infarction or Coronary Bypass Surgery

Suaya, J. A., Shepard, D. S., Normand, S. T., Ades, P. A., Prottas, J. M., & Stason, W. B. (2007) · Circulation · doi:10.1161/circulationaha.107.701466 · Cited by 827

Enhancing Spinal Cord Injury Care: Using Wearable Technologies for Physical Activity, Sleep, and Cardiovascular Health

Zhao, F., Balthazaar, S. J. T., Hiremath, S. V., Nightingale, T. E., & Panza, G. S. (2024) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2024.06.014 · Cited by 11

Diagnostic Strategies Using AI and ML in Cardiovascular Diseases: Challenges and Future Perspectives

Rana, N., Sharma, K., & Sharma, A. (2025) · Algorithms for intelligent systems · doi:10.1007/978-981-96-1285-7_7 · Cited by 11

Need Assessment for Smartphone-Based Cardiac Telerehabilitation

Kim, J. S., Yun, D., Kim, H. J., Ryu, H. Y., Oh, J., & Kang, S.-M. (2018) · Healthcare Informatics Research · doi:10.4258/hir.2018.24.4.283 · Cited by 11

Large scale remote health monitoring in sparsely connected rural regions

Pathinarupothi, R. K., & Rangan, E. S. (2016) · IEEE Global Humanitarian Technology Conference (GHTC) · doi:10.1109/ghtc.2016.7857354 · Cited by 10

Device and software for mobile heart monitoring

Kuzmin, A. V., Safronov, M. I., Bodin, O. N., Александрович, П. М., & Сергеевич, С. А. (2016) · Conference of Open Innovations Association (FRUCT) · doi:10.23919/fruct.2016.7892191 · Cited by 10

Diagnostic Value of a Wearable Continuous Electrocardiogram Monitoring Device (AT-Patch) for New-Onset Atrial Fibrillation in High-Risk Patients: Prospective Cohort Study

Kwun, J.-S., Lee, J. H., Park, B. E., Park, J. S., Kim, H. J., Kim, S., Jeon, K., Cho, H.-W., Kang, S., Lee, W., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/45760 · Cited by 9

Modern methods of remote monitoring and rehabilitation of patients with cardiovascular diseases

Lyapina, I. N., Zvereva, T. N., & Pomeshkina, S. A. (2022) · Complex Issues of Cardiovascular Diseases · doi:10.17802/2306-1278-2022-11-1-112-123 · Cited by 17

A Watch-Type Electrocardiography Is a Reliable Tool for Detecting Paroxysmal Cardiac Arrhythmias

Kim, Y. G., Choi, J., Jung, J. S., Min, K., Choi, Y. Y., Shim, J., Son, H. S., & Kim, Y. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11123333 · Cited by 9

Heart Rate Monitor Instead of Ablation? Atrioventricular Nodal Re-Entrant Tachycardia in a Leisure-Time Triathlete: 6-Year Follow-Up

Gajda, R. (2020) · Diagnostics · doi:10.3390/diagnostics10060391 · Cited by 9

Mobile Heart Monitoring System Prototype Based on the Texas Instruments Hardware

Kuzmin, A. V., Safronov, M. I., Bodin, O. N., Александрович, П. М., & Сергеевич, С. А. (2016) · International Journal of Embedded and Real-Time Communication Systems · doi:10.4018/ijertcs.2016010104 · Cited by 8

Evaluation of a novel ambulatory electrocardiogram monitor (the Carnation Ambulatory Monitor) for use in horses

Keen, J., & O'Connor, S. A. (2021) · Journal of Veterinary Cardiology · doi:10.1016/j.jvc.2020.12.005 · Cited by 8

Respiratory Rate Estimation Combining Autocorrelation Function-Based Power Spectral Feature Extraction with Gradient Boosting Algorithm

Lee, S., Moon, H., Son, C., & Lee, G. (2022) · Applied Sciences · doi:10.3390/app12168355 · Cited by 7

Nocturnal heart rate and cerebrovascular disease

Yano, Y. (2015) · Hypertension Research · doi:10.1038/hr.2015.58 · Cited by 7

Evaluating patient attitudes and barriers towards smart technology for cardiac monitoring: results from a prospective multicentre study

Koshy, A. N., Ko, J., Sajeev, J., Rajakariar, K., Roberts, L., Cooke, J. C., & Teh, A. W. (2019) · BMJ Innovations · doi:10.1136/bmjinnov-2018-000336 · Cited by 6

A Scoping Review of Varying Mobile Electrocardiographic Devices

Dzikowicz, D. J. (2023) · Biological Research For Nursing · doi:10.1177/10998004231216923 · Cited by 6

Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing

Hurnanen, T., Kaisti, M., Tadi, M. J., Vähä-Heikkilä, M., Nieminen, S., Iftikhar, Z., Paukkunen, M., Pänkäälä, M., & Koivisto, T. (2017) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-5122-7_224 · Cited by 6

Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection

Kim, H., Huh, K. Y., Piao, M., Ryu, H., Yang, W., Lee, S., & Kim, K. H. (2022) · Applied Sciences · doi:10.3390/app12094558 · Cited by 6

Analysis of Personalized Cardiovascular Drug Therapy: From Monitoring Technologies to Data Integration and Future Perspectives

Lin, R., Huang, Z., Liu, Y., & Zhou, Y. (2025) · Biosensors · doi:10.3390/bios15030191 · Cited by 5

Dietary and Lifestyle Modification for the Prevention and Treatment of Hypertension

Goetsch, M. R., Wagle, A. A., Valilis, E. M., Razavi, A. C., McEvoy, J. W., Blumenthal, R. S., & Whelton, S. P. (2021) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-021-00683-7 · Cited by 6

2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals

Varma, N., Cygankiewicz, I., & Turakhia, M. P. (2021) · Russian Journal of Cardiology · doi:10.15829/1560-4071-2021-4420 · Cited by 7

Soft real-time smartphone ECG processing

Tsamis, G., Grammatikakis, M. D., Papagrigoriou, A., Petrakis, P., Piperaki, V., Mouzakitis, A., & Coppola, M. (2017) · IEEE International Symposium on Industrial Embedded Systems (SIES) · doi:10.1109/sies.2017.7993395 · Cited by 5

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations

Lee, S., Moon, H., Al–antari, M. A., & Lee, G. (2022) · Sensors · doi:10.3390/s22218386 · Cited by 4

Effects of home telemonitoring using non-invasive versus conventional approaches on patients affected by congestive heart failure: a systematic literature review and meta-analysis

Oronti, I. B., Lopez-Perez, L., Piaggio, D., Fico, G., & Pecchia, L. (2023) · Health and Technology · doi:10.1007/s12553-023-00764-0 · Cited by 5

Mobile Quantitative EEG Assessment and Children’s Preoperative Anxiety: a Psychometric and Feasibility Study

Xu, R. Y., Chow, C. H. T., Poole, K. L., Sriranjan, J., Mirabelli, J., Moffat, G., Lieshout, R. J. V., Buckley, N., & Schmidt, L. A. (2022) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-022-00285-z · Cited by 4

What impact can hospitalization environment produce on the ANS functioning in patients with Unresponsive Wakefulness Syndrome? – 24-hour monitoring

Riganello, F., Napoletano, G., Cortese, M. D., Arcuri, F., Solano, A., Lucca, L. F., Tonin, P., & Soddu, A. (2019) · Brain Injury · doi:10.1080/02699052.2019.1641841 · Cited by 4

Screening for Atrial Fibrillation and the Role of Digital Health Technologies

Richardson, E., Hall, A., & Mitchell, A. R. J. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.88660 · Cited by 4

Ventricular arrhythmias in the Chagas disease are not random phenomena: Long‐term monitoring in Chagas arrhythmias

Silva, N. C. F., Reis, M. D. C. M., Póvoa, R., de Paola, Â. A. V., & Filho, B. L. (2019) · Journal of Cardiovascular Electrophysiology · doi:10.1111/jce.14162 · Cited by 4

Novel devices to monitor heart failure and minimize hospitalizations

Papavasileiou, L. P., Santini, L., Forleo, G. B., Ammirati, F., & Santini, M. (2016) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2016.1187064 · Cited by 4

Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogram

Xiao, S., Yang, P., Liu, L., Zhang, Z., & Wu, J. (2020) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-64991-3_13 · Cited by 4

Medical smartphone applications

Masciantonio, M. G., & Surmanski, A. A. (2017) · University of Western Ontario Medical Journal · doi:10.5206/uwomj.v86i2.2030 · Cited by 3

Comparison of the diagnostic value of a small, single channel, electrocardiogram monitoring patch with a standard 3-lead Holter system over 24 hours in dogs

Schreiber, N. E., Willis, R., Glaus, T. M., & Toaldo, M. B. (2023) · Journal of Veterinary Cardiology · doi:10.1016/j.jvc.2023.04.004 · Cited by 3

Mobile Heart Monitoring System Prototype

Kuzmin, A. V., Safronov, M. I., Bodin, O. N., & Баранов, В. А. (2020) · Advances in computer and electrical engineering book series · doi:10.4018/978-1-7998-1974-5.ch006 · Cited by 3

Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways

Ruiz, L. J. L., Lin, V., Fitzgerald, L., Zhu, J., Borish, L., Quinn, D., & Lach, J. (2021) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn51625.2021.9507022 · Cited by 3

Nocturnal Heart Rate and Inflammation

Yano, Y., & Kario, K. (2014) · Journal of Clinical Hypertension · doi:10.1111/jch.12417 · Cited by 3

Creating a Case for Digital Health

Rivas, H. (2018) · Health informatics · doi:10.1007/978-3-319-61446-5_1 · Cited by 4

Deployed military general internal physician’s toolkit: the recent past and near future

Parsons, I., Hutley, E. J., Gibb, I. E., Lentaigne, J., Wilson, D. E., & Cox, A. (2018) · Journal of the Royal Army Medical Corps · doi:10.1136/jramc-2017-000846 · Cited by 3

State of the Art on Wearable and Implantable Devices for Cardiac and Respiratory Monitoring

Armoundas, A. A., Singh, J. P., Heist, E. K., & Isselbacher, E. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-63355-4_25 · Cited by 3

Ultrasound segmentation of rat hearts using a convolution neural network

Dormer, J. D., Guo, R., Fei, B., Shen, M., Jiang, R., & Wagner, M. B. (2018) · SPIE Medical Imaging: Ultrasonic Imaging and Tomography · doi:10.1117/12.2293558 · Cited by 3

Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical ReviewPreprint

Ganipineni, V. D. P., Gutlapalli, S. D., Paramsothy, J., Okorie, I. J., Ugwendum, D. F., Farid, M., Fabián, D., Kailayanathan, T., Piccione, G., Idavalapati, A. S. K. K., et al. (2023) · Preprints.org · doi:10.20944/preprints202305.1061.v1 · Cited by 3

IoT toward Efficient Analysis of Aging, Cardiometabolic, and Neurodegenerative Diseases—An eHealth Perspective

Cymberknop, L. J., Chatterjee, P., Dujovne, D., Romero, L., & Armentano, R. L. (2017) · The Internet of Things · doi:10.1201/9781315156026-26 · Cited by 2

Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals

Dong, Z., Liu, Y., & Ouyang, Y. (2025) · IEEE Access · doi:10.1109/access.2024.3525058 · Cited by 2

Applications of IoT in Biomedical Engineering

Rai, A., Gupta, D., & Rai, S. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815313383125010008 · Cited by 2

Applicability of the ECGalert solution

Gušev, M., Poposka, L., & Guseva, E. (2017) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor.2017.8249437 · Cited by 2

Comparison of Accuracy and Diagnostic Validity of a Novel Non-Invasive Electrocardiographic Monitoring Device with a Standard 3 Lead Holter Monitor and an ECG Patch over a 24 hours Period

Barr, C. S. (2019) · Cited by 2

Individual Use of Smartwatches with Self-Monitoring EKG Functionality for Diagnosing Arrhythmias: A Scoping Review (Preprint)Preprint

Ali, M. E. (2021) · doi:10.2196/preprints.35453 · Cited by 2

Cardiovascular and Pulmonary Research

Ricard, P. E. H., & Cahalin, L. P. (2015) · Cardiopulmonary Physical Therapy Journal · doi:10.1097/cpt.0000000000000008 · Cited by 1

Surveillance of Arrhythmia in Patients After Myocardial Infarction Using Wearable Electrocardiogram Patch Devices: Prospective Cohort Study

Kwun, J.-S., Yoon, C., Kim, S., Jeon, K., Kang, S., Lee, W., Youn, T., & Chae, I. (2022) · JMIR Cardio · doi:10.2196/35615 · Cited by 1

Connected to the cloud at time of death: a case report

Straw, I., Kirkby, C., & Gopinath, P. (2024) · Journal of Medical Case Reports · doi:10.1186/s13256-024-04573-5 · Cited by 1

Reflective diagnostics: A self-learning CRISPR–biosensor–AI platform for adaptive food and health safety monitoring

Liberty, J. T. (2026) · Food and Humanity · doi:10.1016/j.foohum.2026.101005 · Cited by 1

Advances in monitoring of cardiovascular diseases at the point of care

Xu, F., Gong, Y., Gao, B., Ting, W. E. N., & Hu, J. (2016) · Scientia Sinica Technologica · doi:10.1360/n092016-00076 · Cited by 1

Internet of Medical Things (Iotm) Based Sustainable Architecture For Health Monitoring System

Dighriri, M. A. (2023) · IEEE International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) · doi:10.1109/ihcsp56702.2023.10127209 · Cited by 1

Cardiovascular and Pulmonary Research: The Year (2021) in Review

Ricard, P. E. H., McHugh, H. F., & Ramsey, S. (2022) · Cardiopulmonary Physical Therapy Journal · doi:10.1097/cpt.0000000000000209 · Cited by 1

The role of mHealth technology in the secondary prevention of cardiovascular disease

Universitatea de Medicina și Farmacie Carol Davila, B., Busnatu, Ș., Ion, A. C., Raileanu, M., Calangea, I., Furtunescu, F., Chera, C., Iancu, R., POPESCU, N., Covaci, S., et al. (2019) · ROMANIAN BIOTECHNOLOGICAL LETTERS · doi:10.25083/rbl/24.2/236.244 · Cited by 1

Using Data Science to Predict Readmissions in Heart Failure

Apakama, D. U., & Slovis, B. H. (2019) · Current Emergency and Hospital Medicine Reports · doi:10.1007/s40138-019-00197-y · Cited by 1

The wireless revolution and cardiorespiratory system monitoring

Vogiatzis, I. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.09.036 · Cited by 1

Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low‐Concentration CVD Biomarkers

Laad, M. S., Sajna, M. S., Sadasivuni, K. K., & Waseem, S. (2022) · Wiley eBooks · doi:10.1002/9781119813040.ch10 · Cited by 1

Evaluation of Temporal Change in Heart Rate Variability during the Advanced Trail Making Test

Kan, Y., & Kashihara, K. (2016) · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai.2016.209

Monitoring und Individualisierung von körperlichem Training bei Patienten mit pulmonaler Hypertonie

Harbaum, L., Grimminger, J., Galow, S., Grünig, E., Klose, H. F. E., & Hennigs, J. K. (2017) · Der Pneumologe · doi:10.1007/s10405-017-0124-z

Wireless Cardiac Monitors: A Different Kind of Breast Implant

Rc, M. (2017) · International Journal of Clinical & Medical Imaging · doi:10.4172/2376-0249.1000568

The evaluation of functional heart condition with machine learning algorithms

Overchuk, K. V., Lezhnina, I. A., Uvarov, A. A., Перчаткин, В. А., & Львова, А. Б. (2017) · Journal of Physics Conference Series · doi:10.1088/1742-6596/881/1/012009

IoT toward Efficient Analysis of Aging, Cardiometabolic, and Neurodegenerative Diseases—An eHealth Perspective

Cymberknop, L. J., Chatterjee, P., Dujovne, D., Romero, L., & Armentano, R. L. (2017) · The Internet of Things · doi:10.1201/9781315156026-21

Analytical Methods for Assessment of Temporal Changes in Heart Function

Kashihara, K., & Kan, Y. (2017) · International Journal of Smart Computing and Artificial Intelligence · doi:10.52731/ijscai.v1.i2.101

Predicting syncope: The first step in a long journey?

Sheldon, R. S., & Raj, S. R. (2018) · Heart Rhythm · doi:10.1016/j.hrthm.2018.06.002

The Use of Mobile ECG Monitoring Devices in Embolic Stroke Associated With Atrial Fibrillation

Maniar, N., Donohoe, C. D., & Troudt, E. L. (2018) · Advances in medical education, research, and ethics (AMERE) book series · doi:10.4018/978-1-5225-6289-4.ch004

Cardiac Monitoring: Then and Now

Doshi, R. N. (2019) · Journal of Innovations in Cardiac Rhythm Management · doi:10.19102/icrm.2019.100909

Identification of Atrial Fibrillation in Secondary Care Diabetes and Vascular Clinics: A Pilot Study

Kalia, K., Tulloh, R. M. R., & Grubb, N. R. (2020) · Future Cardiology · doi:10.2217/fca-2019-0010

Technical Advances in Respiratory Rate using Fusion Methods: A Review

Vedashree, H. C. (2021) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2021.35061

Feasibility Review of Wearable Kinematic Sensors in Post Knee Arthroplasty Patients

Le, A. (2021) · Open Access Journal of Biogeneric Science and Research · doi:10.46718/jbgsr.2021.08.000188

Peer Review #1 of "Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification (v0.3)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.825v0.3/reviews/1

Peer Review #1 of "Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification (v0.2)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.825v0.2/reviews/1

Development of the Self-Reporting Technique-Based Clinical Trial Service Platform for Real-Time Arrhythmia Detection (Preprint)Preprint

Kim, H., Huh, K. Y., Piao, M., Ryu, H., Yang, W., Lee, S. H., & Kim, K. H. (2021) · doi:10.2196/preprints.36031

Peer Review #2 of "Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification (v0.1)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.825v0.1/reviews/2

Peer Review #1 of "Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification (v0.1)"

(2022) · PeerJ Computer Science · doi:10.7287/peerj-cs.825v0.1/reviews/1

VirtuHeart - A Patient-Centric Digital Twin Approach for Continuous Cardiac Monitoring and Management

Sowmya, P., Kumar, D. H., Raju, M., Revathi, N., Reddy, G. V., & Patil, P. (2025) · International Conference on Intelligent Computing, Information and Control Systems (ICOIICS) · doi:10.1109/icoiics67115.2025.11390471

Med2ECG: Medical-Guided BCG-To-ECG Reconstruction for Diverse Populations

Chen, L., Huang, Y., Li, C., Chen, J., Zhong, S., Qiu, M., Guo, C., Wang, Y., Zhang, Q., & Wu, K. (2026) · doi:10.1145/3774906.3800463

Trail of Wireless Remote Monitoring of Cardiac Devices Begins

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Novel Wireless Cardiac Monitor Located in the Breast: Imaging Appearance and Function

Mayo, R. C., & Leung, J. W. T. (2017) · The Breast Journal · doi:10.1111/tbj.12803 · Cited by 4

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Wearable Photoplethysmography Device Prototype for Wireless Cardiovascular Monitoring

Kviesis-Kipge, E., Grabovskis, A., Marcinkevičs, Z., Mečņika, V., & Rubenis, O. (2014) · publication.editionName

Cardiac Monitoring: An Overview

Wilson, A. (2021) · Journal of Biomedical Engineering and Medical Devices · doi:10.35248/2475-7586.21.6.186 · Cited by 1