Heart rate variability with circadian rhythm removed achieved high accuracy for stress assessment across all times throughout the day.

ABSTRACT:

Background

Assessing real-time stress in individuals to prevent the accumulation of stress is necessary due to the adverse effects of excessive psychological stress on health. Since both stress and circadian rhythms affect the excitability of the nervous system, the influence of circadian rhythms needs to be considered during stress assessment. Most studies train classifiers using physiological data collected during fixed short time periods, overlooking the assessment of stress levels at other times.

Methods

In this work, we propose a method for training a classifier capable of identifying stress and resting states throughout the day, based on 10 short-term heart rate variability (HRV) feature data obtained from morning, noon, and evening. To characterize the circadian rhyth

SUBMITTER: Shen Y 

PROVIDER: S-EPMC12034550 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature