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Soft Electronics for Health Monitoring Assisted by Machine Learning
- 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