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

#Live Reviewed Article Collection (6) Machine Learning (1906) Anxiety and Stress Disorders (1264) Digital Biomarkers and Digital Phenotyping (253) Wearable Devices and Sensors (1063) mHealth for Data Collection and Research (1141) #xHealthInformatics (15) #xPsychiatryandClinicalPsychology (7)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://arxiv.org/abs/2411.17935v1, first published .
Using Electrooculography and Electrodermal Activity During a Cold Pressor Test to Identify Physiological Biomarkers of State Anxiety: Feature-Based Algorithm Development and Validation Study

Using Electrooculography and Electrodermal Activity During a Cold Pressor Test to Identify Physiological Biomarkers of State Anxiety: Feature-Based Algorithm Development and Validation Study

Using Electrooculography and Electrodermal Activity During a Cold Pressor Test to Identify Physiological Biomarkers of State Anxiety: Feature-Based Algorithm Development and Validation Study

Authors of this article:

Jadelynn Dao1 Author Orcid Image ;   Ruixiao Liu2 Author Orcid Image ;   Sarah Solomon3 Author Orcid Image ;   Samuel Aaron Solomon2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Jadelynn Dao   1 * , BSc ;   Ruixiao Liu   2 , BSc ;   Sarah Solomon   3 , BSc, MD ;   Samuel Aaron Solomon   2 * , BSc, MEng, PhD

1 Computer Science, California Institute of Technology, Pasadena, CA, United States

2 Medical Engineering, California Institute of Technology, Pasadena, CA, United States

3 Adult Psychiatry, Dartmouth College, Hanover, NH, United States

*these authors contributed equally

Corresponding Author:

  • Samuel Aaron Solomon, BSc, MEng, PhD
  • Medical Engineering
  • California Institute of Technology
  • 1200 E California Blvd
  • Pasadena, CA 91106
  • United States
  • Phone: 1 626-395-6811
  • Email: ssolomon@caltech.edu