ECG CHEST BAND FOR ARRHYTHMIA DETECTION AND BIOMETRIC EHR ACCESS
DOI:
https://doi.org/10.29121/shodhkosh.v7.i8s.2026.7943Keywords:
ECG Monitoring, EHR BiometricAbstract [English]
Wearable ECG devices are valuable for heart patients monitoring systems and for fitness tracking and continuous health monitoring for individuals with no heart problems. Current devices are big, and the average person cannot afford them, which is why electronic health records need to be kept so that the ECG signal is integrated to the electronic health record. Keeping this in mind, our purpose is to make a wearable ECG device that is a lot smaller and cheaper than most devices while keeping the ECG signal intact and having smooth integration with electronic health records (EHR). Furthermore, in this case, to elicit the desired health outcome for the target population, which is all ages, we focus on health record usability, data security, and record management.
References
R. Li, G. Yang, K. Wang, Y. Huang, F. Yuan, and Y. Yin, ‘‘Robust ECG biometrics using GNMF and sparse representation,’’ Pattern Recognit. Lett., vol. 129, pp. 70–76, Jan. 2020.
S. Sharma, A. K. Jain, and R. Ross, "Recent Developments in Biometric on Edge: A Review," IEEE Transactions on Information Forensics and Security, vol. 16, no. 10, pp. 2791-2807, 2021.
J. Pinto and S. Jaime Cardoso, ‘‘A end-to-end convolutional neural network for ECG based biometric authentication,’’ in Proc. 10th IEEE Int. Conf. Biometrics, Theory, Appl. Syst. (BTAS), Sep. 2019, pp. 1–8.
N. Karimian, D. Woodard, and D. Forte, ‘‘ECG biometric: Spoofing and countermeasures,’’ IEEE Trans. Biometrics, Behav., Identity Sci., vol. 2, no. 3, pp. 257–270, Jul. 2020.
Qi W., Su H. A Cybertwin Based Multimodal Network for ECG Patterns Monitoring Using Deep Learning. IEEE Trans. Ind. Inform. 2022;18:6663–6670. doi: 10.1109/TII.2022.3159583. [DOI] [Google Scholar]
Ahmed Bouridane, David Zhang, and Farzin Deravi, "Recent Developments in Fusion of Biometrics with Other Authentication Methods: A Review," International Journal of Computer Science and Biometrics, vol. 8, no. 4, pp. 1-20, 2020.
S. Sharma, A. K. Jain, and R. Ross, "Recent Developments in Biometric on Edge: A Review," IEEE Transactions on Information Forensics and Security, vol. 16, no. 10, pp. 2791-2807, 2021.
S.Saadatnejad, M. Oveisi, and M. Hashemi, “LSTM-based ECG classification for continuous monitoring on personal wearable devices,” IEEE J. Biomed. Health Inform., vol. 24, no. 2, pp. 515–523, Feb. 2020.
R. K. Tripathy, D. K. Dash, S. K. Ghosh, and R. B. Pachori, “Detection of different stages of anxiety from single-channel wearable ECG sensor signal using Fourier– Bessel domain adaptive wavelet transform,” IEEE Sens. Lett., vol. 7, no. 5, May 2023, Art. no. 7002304.
M. A. Cheema, P. Patil, S. I. Siddiqui, P. S. Rossi, Ø. Stavdahl, and A. L. Fougner, “Data-driven classifiers for early meal detection using ECG,” IEEE Sens. Lett., vol. 7, no. 9, Sep. 2023, Art. no. 6005504.
W. Zhang, Z. Li, J. Gryak, P. Gunaratne, E. Wittrup, and K. Najarian, “Evaluation of capacitive ECG for unobtrusive atrial fibrillation monitoring,” IEEE Sens. Lett., vol. 7, no. 10, Oct. 2023, Art. no. 6007004.
B. Ganguly, A. Ghosal, A. Das, D. Das, D. Chatterjee, and D. Rakshit, “Automated detection and classification of arrhythmia from ECG signals using feature-induced long short-term memory network,” IEEE Sens. Lett., vol. 4, no. 8, Aug. 2020, Art. no. 6001604.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Dr. Karthika K, Santhosh S, Ramani B, Prathap L
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
