15-ch Wearable Body Surface Potential Sensor for Wireless Electrocardiogram Monitoring

• Published in: 2024 IEEE International Conference on Consumer Electronics (ICCE) pp. 1 - 5
• Main Authors: Goto, Yusaku, Izumi, Shintaro, Ohara, Ryotaro, Araki, Teppei, Murase, Sho, Kawaguchi, Hiroshi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06-01-2024
• Subjects: Electric potential; Electrocardiogram (ECG); Electrocardiography; Flexible electrode; Monitoring; Surface waves; Variational Autoencoder (VAE); Wearable Sensor; Wireless communication; Wireless Monitoring; Wireless sensor networks
• ISSN: 2158-4001
• DOI: 10.1109/ICCE59016.2024.10444134

The early detection and treatment of cardiovascular diseases hold significant importance; an electrocardiogram (ECG) is the most widely employed tool for assessing the functional status of the heart. Traditional standard 12-lead and Holter electrocardiographs used in medical facilities are characterized by their substantial size and possess drawbacks, including the necessity for professional assistance during application and removal, as well as limitations on patient mobility during monitoring. Consumer-oriented devices employed within the home environment such as wristwatch and patch electrocardiographs encounter issues related to measurement accuracy. Consequently, a demand arises for a system capable of conveniently and accurately measuring and monitoring cardiac activity within a home setting. This study presents a 15-channel wearable body surface potential sensor using a flexible electrode sheet. In addition, we introduce a machine-learning approach for estimating the waveform of a standard 12-lead ECG based on measurements obtained from the proposed sensor device that integrates a wireless measurement circuit.