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Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44003, first published .
Smartwatch displaying a sound wave graph on a person's wrist.

Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review

Electrocardiogram Devices for Home Use: Technological and Clinical Scoping Review

Journals

  1. Strik M, Ploux S, Zande J, Velraeds A, Fontagne L, Haïssaguerre M, Bordachar P. The Use of Electrocardiogram Smartwatches in Patients with Cardiac Implantable Electrical Devices. Sensors 2024;24(2):527 View
  2. Zepeda-Echavarria A, van de Leur R, Vessies M, de Vries N, van Sleuwen M, Hassink R, Wildbergh T, van Doorn J, van der Zee R, Doevendans P, Jaspers J, van Es R. Detection of acute coronary occlusion with a novel mobile electrocardiogram device: a pilot study. European Heart Journal - Digital Health 2024;5(2):183 View
  3. Oh S. Neuromodulation for Atrial Fibrillation Control. Korean Circulation Journal 2024;54(5):223 View
  4. Gupta S, Kashou A, Herman R, Smith S, May A, Echeverri A, Del Sueldo M, Berni A, Farina J, Garcia-Zamora S, Baranchuk A. Computer-Interpreted Electrocardiograms: Impact on Cardiology Practice. International Journal of Cardiovascular Sciences 2024;37 View
  5. Zepeda-Echavarria A, Ratering Arntz N, Westra A, van Schelven L, Euwe F, Noordmans H, Vessies M, van de Leur R, Hassink R, Wildbergh T, van der Zee R, Doevendans P, van Es R, Jaspers J. On the design and development of a handheld electrocardiogram device in a clinical setting. Frontiers in Digital Health 2024;6 View
  6. Ramirez E, Ruiperez-Campillo S, Casado-Arroyo R, Merino J, Vogt J, Castells F, Millet J. The art of selecting the ECG input in neural networks to classify heart diseases: a dual focus on maximizing information and reducing redundancy. Frontiers in Physiology 2024;15 View
  7. Ria A, Contardi S, Piotto M, Bruschi P. Wireless Single-Chip ECG Monitoring System With Bioimpedance Analysis. IEEE Journal of Radio Frequency Identification 2025;9:88 View
  8. Medina-Avelino J, Silva-Bustillos R, Holgado-Terriza J. Are Wearable ECG Devices Ready for Hospital at Home Application?. Sensors 2025;25(10):2982 View
  9. Arends B, Zwetsloot P, Heeres P, van Amsterdam W, Cramer M, Kruitwagen - van Reenen E, van der Harst P, van Osch D, van Es R. Left ventricular systolic dysfunction screening in muscular dystrophies using deep learning-based electrocardiogram interpretation. Journal of Electrocardiology 2025;92:154048 View
  10. Raus-Jarzabek E, Czerw M, Skowronek A, Dąbrowska-Boruch A, Jamro E, Olejarczyk E. A Practical Guide to ECG Device Performance Testing According to International Standards. Electronics 2025;14(19):3878 View
  11. Ahmad N, Sawamura S, Ogata G, Ota T, Tokudome K, Moriyama H, Tanaka I, Ikarashi K, Takai M, Kita S, Furutani K, Kusuhara H, Einaga Y, Hibino H. Real-Time Detection of Cardiotoxic Anticancer Drug by Diamond Microsensors in the Skin and Combined Monitoring of Electrocardiogram in Live Rats. ACS Sensors 2026;11(2):892 View
  12. Alibrandi L, Tognetti R, Pellegrini V, Grosso G, Vezzosi T. Evaluation of a smartphone-based six‑lead ECG for clinical electrocardiography in cats. Research in Veterinary Science 2026;208:106236 View
  13. Jeong Y, Yoon S, Lee J, Jeong W, Ha M. Comparison of heart rate measurement accuracy among commercially available photoplethysmography-based wearable devices across exercise intensities. Physical Activity and Nutrition 2026;30(2):142 View
  14. Fan S, Zhang D, Wang Y, Geng S, Lu K, Sang M, Xu W, Wang H, Zhao Q, Cheng C, Wang P, Hong S. Multicenter real world validation of on device single lead ECG parameters for remote cardiac assessment. npj Cardiovascular Health 2026;3(1) View
  15. Freedman C, Hassan S, Alvarez M, Elhajj P, Kim P, Park S, Park C, Hirji S, Grimm J, Vallabhajosyula S, Nanna M, Okoh A, Unlu O, Pantlin P, Fenrich A, Hong M. Sampling Frequency Has Architecture-Dependent Effects on ECG Deep Learning Classification: CNNs Are Robust, Transformers Benefit Modestly. Heart Rhythm 2026 View
  16. Tomchik N, Paramonova N. Digital transformation of children's electrocardiogram interpretation: from classical approaches to artificial intelligence algorithms. Healthcare 2026;1(7):67 View

Conference Proceedings

  1. Forster P, Wallace B, Goubran R, Sveistrup H. 2025 IEEE Sensors Applications Symposium (SAS). Effect of Dry Electrode Lead Spacing on ECG Signal Quality for Small Portable Devices View
  2. Kumar T, Sumathi R, Gowda U, Spandana P, Kumar B. 2026 International Conference on AI-Driven Innovations & Applications (IC-AIDA). INSTAMED: Arrhythmia Detection and Symptom-Based Support via IoT & AI View