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

Formative Evaluation of Digital Health Interventions (2410) Anxiety and Stress Disorders (1053) Wearable Devices and Sensors (888) Social Anxiety Disorder (SAD) (51) mHealth for Data Collection and Research (955) Digital Biomarkers and Digital Phenotyping (191) Machine Learning (1465) Methods and New Tools in Mental Health Research (454)

Published on in Vol 5, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32656, first published .
Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Authors of this article:

Ruksana Shaukat-Jali1 Author Orcid Image ;   Nejra van Zalk1 Author Orcid Image ;   David Edward Boyle1 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Ruksana Shaukat-Jali   1 * , MEng ;   Nejra van Zalk   1 * , BA, MSc, PhD ;   David Edward Boyle   1 * , BEng, PhD

1 Dyson School of Design Engineering, Imperial College London, London, United Kingdom

*all authors contributed equally

Corresponding Author:

  • Nejra van Zalk, BA, MSc, PhD
  • Dyson School of Design Engineering
  • Imperial College London
  • 25 Exhibition Road
  • London, SW7 2AZ
  • United Kingdom
  • Phone: 44 2083318091
  • Email: n.van-zalk@imperial.ac.uk