Editorial: AI empowered cerebro-cardiovascular health engineering

Lisheng Xu; Zengzhi Guo; Dingchang Zheng; Jianbao Zhang; Fei Chen; Rong Liu; Chunsheng Li; Wenjun Tan

doi:10.3389/fphys.2023.1335573

Editorial: AI empowered cerebro-cardiovascular health engineering

Front Physiol. 2023 Dec 12:14:1335573. doi: 10.3389/fphys.2023.1335573. eCollection 2023.

Authors

Lisheng Xu^{1

2}, Zengzhi Guo^{1

2}, Dingchang Zheng³, Jianbao Zhang⁴, Fei Chen⁵, Rong Liu⁶, Chunsheng Li⁷, Wenjun Tan^{2

8}

Affiliations

¹ College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
² Key Laboratory of Medical Image Computing, Ministry of Education, Shenyang, China.
³ Research Centre of Intelligent Healthcare, Coventry University, Coventry, United Kingdom.
⁴ Department of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
⁵ Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.
⁶ School of Biomedical Engineering, Dalian University of Technology, Dalian, China.
⁷ Department of Biomedical Engineering, Shenyang University of Technology, Shenyang, China.
⁸ School of Computer Science and Engineering, Northeastern University, Shenyang, China.

No abstract available

Keywords: artificial intelligence; cerebro-cardiovascular health; diagnosis and treatment; identification and modeling; neurophysiological signal and image; rehabilitation; signal processing; wearable device.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China under Grant 62273082.