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Soft Electronics for Health Monitoring Assisted by Machine Learning

Authors :
Yancong Qiao
Jinan Luo
Tianrui Cui
Haidong Liu
Hao Tang
Yingfen Zeng
Chang Liu
Yuanfang Li
Jinming Jian
Jingzhi Wu
He Tian
Yi Yang
Tian-Ling Ren
Jianhua Zhou
Source :
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-86 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

Highlights This review introduces soft electronics for health monitoring assisted by machine learning, and discusses soft materials, physiological signals, and machine learning algorithms in sequence and their relationships. The principles of classic machine learning algorithms and neural network algorithms are summarized and explained by representative examples combining with soft electronics. The potential challenges of soft electronics assisted by machine learning especially in health monitoring field are outlined, and future research directions are outlooked.

Details

Language :
English
ISSN :
23116706 and 21505551
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nano-Micro Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.8c2e39b94f514baea0507cb1259574c6
Document Type :
article
Full Text :
https://doi.org/10.1007/s40820-023-01029-1