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

Special Issue on Computing and Mental Health (2018) (33) Mobile Health (mhealth) (2765) mHealth for Data Collection and Research (914) mHealth for Wellness, Behavior Change and Prevention (2743) Depression and Mood Disorders; Suicide Prevention (1282) Wearable Devices and Sensors (818) Digital Science, Open Science (70)

Published on in Vol 20, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10131, first published .
Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions

Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions

Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions

Authors of this article:

Tjeerd W Boonstra1 Author Orcid Image ;   Jennifer Nicholas1 Author Orcid Image ;   Quincy JJ Wong1, 2 Author Orcid Image ;   Frances Shaw1 Author Orcid Image ;   Samuel Townsend1 Author Orcid Image ;   Helen Christensen1 Author Orcid Image
Article Authors Cited by (74) Tweetations (25) Metrics

Tjeerd W Boonstra   1 , MPsych, PhD ;   Jennifer Nicholas   1 , BSc, BA, PhD ;   Quincy JJ Wong   1, 2 , MPsych, PhD ;   Frances Shaw   1 , MA, PhD ;   Samuel Townsend   1 , BE, MBiomEng ;   Helen Christensen   1 , MPsych, PhD

1 Black Dog Institute, University of New South Wales, Sydney, Australia

2 NICM Health Research Institute, Western Sydney University, Sydney, Australia

Corresponding Author: