Predicting neurological recovery following cardiac arrest based on dynamic brain-heart coupling

Yanxiang Niu; Ruxin Tan; Xin Chen; Jianqi Fan; Ziquan Liu; Xiangyan Meng; Yanqing Liu; Lu Lu; Zongya Zhao; Haojun Fan

doi:10.1186/s12984-026-01971-2

Predicting neurological recovery following cardiac arrest based on dynamic brain-heart coupling

J Neuroeng Rehabil. 2026 Apr 11. doi: 10.1186/s12984-026-01971-2. Online ahead of print.

Authors

Yanxiang Niu^#^{1

2}, Ruxin Tan^#^{1

2}, Xin Chen^#³, Jianqi Fan^{1

2}, Ziquan Liu^{1

2}, Xiangyan Meng^{1

2}, Yanqing Liu^{1

2}, Lu Lu^{4

5}, Zongya Zhao⁶, Haojun Fan^{7

8}

Affiliations

¹ School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
² Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China.
³ College Of Intelligence and Computing, Tianjin University, Tianjin, China.
⁴ School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China. lulu_998543@tju.edu.cn.
⁵ Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China. lulu_998543@tju.edu.cn.
⁶ School of Mathematical Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang, China. zhaozongya_paper@126.com.
⁷ School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China. haojunfan86@163.com.
⁸ Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China. haojunfan86@163.com.

^# Contributed equally.

PMID: 41965685
DOI: 10.1186/s12984-026-01971-2

No abstract available

Keywords: Brain; Cardiac arrest; Evoked potentials; Heart coupling; Heartbeat; Poincaré Sympathetic; Refined Composite Multiscale Entropy (RCMSE); Vagal Synthetic Data Generation (PSV-SDG).