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

Development and Evaluation of Research Methods, Instruments and Tools (744) Wearable Devices and Sensors (1133) Anxiety and Stress Disorders (1330) Mobile Health (mhealth) (3464) mHealth for Data Collection and Research (1196) Fitness Trackers and Smart Pedometers/Accelerometers (665) Intensive Care Unit (ICU) (160)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60759, first published .
Relationship Between Heart Rate and Perceived Stress in Intensive Care Unit Residents: Exploratory Analysis Using Fitbit Data

Relationship Between Heart Rate and Perceived Stress in Intensive Care Unit Residents: Exploratory Analysis Using Fitbit Data

Relationship Between Heart Rate and Perceived Stress in Intensive Care Unit Residents: Exploratory Analysis Using Fitbit Data

Authors of this article:

Ruijing Wang1 Author Orcid Image ;   Olya Rezaeian1 Author Orcid Image ;   Onur Asan1 Author Orcid Image ;   Linghan Zhang2 Author Orcid Image ;   Ting Liao1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Super I, Wang B, Zhang L, Asan O. Identifying stressors and coping mechanisms for residents in the ICU: A mixed-method work system study. Human Factors in Healthcare 2025;7:100097 View
  2. Super I, Zhang L, Wang B, Asan O. The impact of psychological factors on interprofessional team collaboration in the ICU: A macro-ergonomic case study. Applied Ergonomics 2025;128:104535 View
  3. Crivelli D, Pellencin E, Perin A, Balconi M. An integrated neurophenomenological framework for naturalistic assessment of work-related stressors in healthcare professionals: a pilot study in neuro-surgery. Frontiers in Psychology 2025;16 View
  4. Yedukondalu J, Sravanthi G, Rao K, Krishna Y, Jaya M, Sunkara K. Stress detection via EEG signals using Henry gas solubility optimization feature selection. Cluster Computing 2026;29(1) View
  5. Yaqoob S, Ullah F, AbuAli N, Anwar H, Saeed N, Hayajneh M. AIoT for human emotion recognition: Potentials, challenges, and healthcare applications. Computer Science Review 2026;60:100859 View