[FLXp1-7L]Reconstruction of Standard 12-Lead Electrocardiograms Using Flexible Electrode Sheets and Variational Autoencoder
*Kazuya Takahashi1, Shintaro Izumi1,2, Yusaku Goto, Ryotaro Ohara1, Teppei Araki2, Sho Murase2, Hiroshi Kawaguchi1(1. Kobe University (Japan), 2. Osaka University (Japan))
Keywords:
ECG,Flexible electrode,Variational Autoencoder (VAE),Wearable Sensor,Wireless Monitoring
We propose a method to estimate 12-lead ECG waveforms using data from a wireless circuit and a high-density multielectrode sheet sensor. Machine learning enhances waveform accuracy by integrating data from a 15-channel wearable sensor, addressing challenges such as motion artifacts and limitations in conventional wearable ECG devices.