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This paper is in the following e-collection/theme issue:

Data Science (391) Machine Learning (2236) Wearable Devices and Sensors (1216) Anxiety and Stress Disorders (1376) New Methods (1181) Design and Usability of Medical Devices (161) Diagnostic Tools in Mental Health (340) Methods and New Tools in Mental Health Research (589)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80450, first published .
Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study

Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study

Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study

Authors of this article:

Buelent Uendes1 Author Orcid Image ;   Alex Antonides1 Author Orcid Image ;   Sjors van de Ven2 Author Orcid Image ;   Denise Johanna van der Mee2 Author Orcid Image ;   Eco de Geus2 Author Orcid Image ;   Mark Hoogendoorn1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Buelent Uendes   1 , MSc ;   Alex Antonides   1 , MSc ;   Sjors van de Ven   2 , MSc ;   Denise Johanna van der Mee   2 , PhD ;   Eco de Geus   2 , PhD ;   Mark Hoogendoorn   1 , PhD

1 Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

2 Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Corresponding Author:

  • Buelent Uendes, MSc
  • Department of Computer Science
  • Vrije Universiteit Amsterdam
  • De Boelelaan 1111
  • Amsterdam 1081 HV
  • The Netherlands
  • Phone: 49 15221457090
  • Email: b.uendes@vu.nl