CNN-ENHANCED ECG WEARABLES FOR CARDIAC HEALTH ASSESSMENT WITH ARRHYTHMIA PREDICTION
DOI:
https://doi.org/10.29284/ijasis.10.1.2024.13-21Keywords:
Convolutional neural networks, arrhythmia prediction, cardiac health, real-time monitoring, feature extraction.Abstract
A new generation of ECG wearables, enhanced by Convolutional Neural Networks (CNNs), is now possible because of the rapid development of technologies. These sophisticated devices in today's technological landscape not only monitor the heart's electrical activity in real-time, but they can also predict and proactively manage arrhythmias. The ability of wearables to detect abnormalities is greatly enhanced using CNNs, which provide automated feature extraction and pattern detection. To do this, we must first transform the electrocardiogram (ECG) data into a visual format. These wearables with built-in CNN analyze ECGs in real-time, alerting users to potential arrhythmias and giving them valuable information about their heart health. Models improve with more data, leading to a comprehensive approach to managing cardiac health. This revolutionary method not only allows people to take charge of their heart health but also makes it possible for medical professionals to monitor patients remotely, ushering in what may be a new age of preventative and individualized cardiological treatment.
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References
Z. Yang, Q. Zhou, L. Lei, K. Zheng and W. Xiang, “An IoT-Cloud Based Wearable ECG Monitoring System for Smart Healthcare,” Journal of Medical Systems, vol. 40, 2016, pp. 1-11.
U. U. Deshpande and M. A. Kulkarni, “IoT-Based Real-Time ECG Monitoring System Using Cypress WICED,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 6, no. 2, 2017, pp. 710-720.
M. A. Serhani, H. T. El Kassabi, H. Ismail and A. Nujum Navaz, “ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges,” Sensors, vol. 20, no. 6, 2020, pp. 1-20.
P. Singh and A. Jasuja, “IoT-Based Low-Cost Distant Patient ECG Monitoring System,” in International Conference on Computing, Communication, and Automation, 2017, pp. 1330-1334.
T. Shaown, I. Hasan, M. M. R. Mim and M. S. Hossain, “IoT-Based Portable ECG Monitoring System for Smart Healthcare,” 1st International Conference on Advances in Science, Engineering and Robotics Technology, 2019, pp. 1-5.
M. L. Sahu, M. Atulkar, M. K. Ahirwal and A. Ahamad, “IoT-Enabled Cloud-Based Real-Time Remote ECG Monitoring System,” Journal of Medical Engineering and Technology, vol. 45, no. 6, 2021, pp. 473-485.
M. Chhabra and M. Kalsi, “Real Time ECG Monitoring System Based on Internet of Things (IoT),” International Journal of Scientific and Research Publications, vol. 7, no. 8, 2017, pp. 547-550.
M. Neyja, S. Mumtaz, K. M. S. Huq, S. A. Busari, J. Rodriguez and Z. Zhou, “An IoT-Based e-Health Monitoring System Using ECG Signal,” in GLOBECOM IEEE Global Communications Conference, 2017, pp. 1-6.
M. Koshti, S. Ganorkar and L. Chiari, “IoT-Based Health Monitoring System by Using Raspberry Pi and ECG Signal,” International Journal of Innovative Research in Science, Engineering, and Technology, vol. 5, no. 5, 2016, pp. 8977-85.
A. Rahman, T. Rahman, N. H. Ghani, S. Hossain and J. Uddin, “IoT-Based Patient Monitoring System Using ECG Sensor,” International Conference on Robotics, Electrical and Signal Processing Techniques, 2019, pp. 378-382.
D. Sobya, S. K. Muruganandham, S. Nallusamy and P. S. Chakraborty, “Wireless ECG Monitoring System Using IoT-Based Signal Conditioning Module for Real-Time Signal Acquisition,” Indian Journal Public Health Research and Development, 2018, pp. 294-299.
N. Raheja and A. K. Manocha, “IoT-Based ECG Monitoring System with Encryption and Authentication in Secure Data Transmission for Clinical Health Care Approach,” Biomedical Signal Processing and Control, vol. 74, 2022, pp. 1-15.
P. Kamble and A. Birajdar, “IoT-Based Portable ECG Monitoring Device for Smart Healthcare,” in Fifth International Conference on Science Technology Engineering and Mathematics, vol. 1, 2019, pp. 471-474.
A. Mishra, A. Kumari, P. Sajit and P. Pandey, “Remote Web-Based ECG Monitoring Using MQTT Protocol for IoT in Healthcare,” Development, vol. 5, no. 04, 2018, pp. 1096-1109.
U. Satija, B. Ramkumar and M. S. Manikandan, “Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring,” IEEE Internet of Things Journal, vol. 4, no. 3, 2017, pp. 815-823.
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Copyright (c) 2024 Durai Allwin, Dhaniyasravani. M, Rakesh Thoppaen Suresh Babu
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This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.