PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning

Published in Expert Systems with Applications, 2025

Abstract

PULSE is a personalized physiological signal analysis framework that uses unsupervised domain adaptation and self-adaptive learning to improve physiological signal modeling across individual differences.

Recommended citation: Yanan Wang, Shuaicong Hu, Jian Liu, Aiguo Wang, Guohui Zhou, and Cuiwei Yang. "PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning." Expert Systems with Applications 278 (2025): 127317. DOI: 10.1016/j.eswa.2025.127317.
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