1. Soft Electronics for Health Monitoring Assisted by Machine Learning
- Author
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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, and Jianhua Zhou
- Subjects
Soft electronics ,Machine learning algorithm ,Physiological signal monitoring ,Soft materials ,Technology - 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.
- Published
- 2023
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