Published on in Vol 9 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/62719, first published
.

Journals
- Khan B, Khan W, Masrur M, Khalid R, Awais M, Khan B, Khoo B, Abdullah S. Hybrid sensor integration in wearable devices for improved cardiovascular health monitoring. Journal of Science: Advanced Materials and Devices 2025;10(2):100889 View
- Bartusik-Aebisher D, Rogóż K, Aebisher D. Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention. Biomedicines 2025;13(7):1685 View
- Flores-Castañeda R, Olaya-Cotera S, Iparraguirre-Villanueva O. Exploring wearable technologies for health monitoring: a systematic review of applications, advantages and disadvantages. Neural Computing and Applications 2025;37(33):27957 View
- Khan B, Khalid R, Masrur M, Awais M, Khan B, Khoo B. Next-generation wearable ECG systems: Soft materials, AI integration, and personalized healthcare applications. Chemical Engineering Journal 2025;525:170117 View
- Dave A, Dave A, Moussa I. The Evolving Role of Artificial Intelligence and Machine Learning in the Wearable Electrocardiogram: A Primer on Wearable-Enabled Prediction of Cardiac Dysfunction. Bioengineering 2026;13(2):167 View
- Liu G, Ma W, Zhang H, Zhao Y, Zhang Y. From data to action: Wearable AI for personalized proactive health. The Innovation Medicine 2026:100209 View
- Szymon Janczarski , Aleksandra Banaś , Dominika Sarna , Piotr Widera , Maciej Michalik , Klaudia Kwolek , Marcel Pilarek , Wiktoria Laskowska , Filip Basta , Hubert Dacyl . WEARABLE TECHNOLOGIES FOR ATRIAL FIBRILLATION: A NARRATIVE REVIEW OF DIAGNOSTIC ACCURACY, CLINICAL INTEGRATION, AND THE MANAGEMENT OF SILENT ARRHYTHMIAS. International Journal of Innovative Technologies in Social Science 2026;3(1(49)) View
Books/Policy Documents
- Badnjević A, Spahić L. Biomedical Signals and Systems. View
Conference Proceedings
- Keys R, O'Kane A, Marshall P, Stuart G. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. Uncertainty and Risk at the Point of Care: Implications of Patient-Generated ECGs and Algorithmic Interpretations for Clinical Decision Making View
