Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM

Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM

Wearable ECG devices encounter significant challenges in replicating the diagnostic capabilities of standard 12-lead ECGs, primarily due to the complexity of electrode placement and the need for specialized equipment. This study aims to develop a deep learning model capable of reconstructing complet...

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Bibliographic Details
Main Authors: Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Bi-LSTM
Diagnosis
ECG
Waveform reconstruction
Wearable devices
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000127
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