Frontiers in Physiology (Dec 2023)
Editorial: AI empowered cerebro-cardiovascular health engineering
- Lisheng Xu,
- Lisheng Xu,
- Zengzhi Guo,
- Zengzhi Guo,
- Dingchang Zheng,
- Jianbao Zhang,
- Fei Chen,
- Rong Liu,
- Chunsheng Li,
- Wenjun Tan,
- Wenjun Tan
Affiliations
- Lisheng Xu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Lisheng Xu
- Key Laboratory of Medical Image Computing, Ministry of Education, Shenyang, China
- Zengzhi Guo
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Zengzhi Guo
- Key Laboratory of Medical Image Computing, Ministry of Education, Shenyang, China
- Dingchang Zheng
- Research Centre of Intelligent Healthcare, Coventry University, Coventry, United Kingdom
- Jianbao Zhang
- Department of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
- Fei Chen
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
- Rong Liu
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
- Chunsheng Li
- Department of Biomedical Engineering, Shenyang University of Technology, Shenyang, China
- Wenjun Tan
- Key Laboratory of Medical Image Computing, Ministry of Education, Shenyang, China
- Wenjun Tan
- School of Computer Science and Engineering, Northeastern University, Shenyang, China
- DOI
- https://doi.org/10.3389/fphys.2023.1335573
- Journal volume & issue
-
Vol. 14
Abstract
No abstracts available.Keywords
- artificial intelligence
- neurophysiological signal and image
- signal processing
- wearable device
- cerebro-cardiovascular health
- identification and modeling