Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors.

ABSTRACT:

Background

Using Ambient Assisted Living sensors to detect acute stress could help people mitigate the harmful effects of everyday stressful situations. This would help both the healthy and those affected more by sudden stressors, e.g., people with diabetes or heart conditions. The study aimed to develop a method for providing reliable stress detection based on heart rate variability features extracted from portable devices.

Methods

Features extracted from portable electrocardiogram sensor recordings were used for training various classification algorithms for stress detection purposes. Data were recorded in a clinical trial with 7 participants and two stressors, the Trier Social Stress Test and the Stroop colour word test, both validated by standardised questionnaires. Diff

SUBMITTER: Szakonyi B 

PROVIDER: S-EPMC8323289 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature