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

Pilot studies (ehealth) (215) Attention Deficit Disorder (ADD/ADHD) (64) Development and Evaluation of Research Methods, Instruments and Tools (511) Wearable Devices and Sensors (903) mHealth for Data Collection and Research (981) Machine Learning (1501) Formative Evaluation of Digital Health Interventions (2491)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35803, first published .
Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study

Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study

Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study

Authors of this article:

Oliver Lindhiem1 Author Orcid Image ;   Mayank Goel2 Author Orcid Image ;   Sam Shaaban3 Author Orcid Image ;   Kristie J Mak4 Author Orcid Image ;   Prerna Chikersal2 Author Orcid Image ;   Jamie Feldman4 Author Orcid Image ;   Jordan L Harris4 Author Orcid Image
Article Authors Cited by (9) Tweetations (8) Metrics

Oliver Lindhiem   1 , PhD ;   Mayank Goel   2 , PhD ;   Sam Shaaban   3 , MBA ;   Kristie J Mak   4 , BSc ;   Prerna Chikersal   2 , MSc ;   Jamie Feldman   4 , BA ;   Jordan L Harris   4 , MA

1 Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

2 Human-Computer Interaction Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States

3 NuRelm, Inc, Pittsburgh, PA, United States

4 University of Pittsburgh Medical Center, Pittsburgh, PA, United States

Corresponding Author:

  • Oliver Lindhiem, PhD
  • Department of Psychiatry
  • School of Medicine
  • University of Pittsburgh
  • 100 N Bellefield Ave
  • Pittsburgh, PA, 15206
  • United States
  • Phone: 1 412-246-5909
  • Email: lindhiemoj@upmc.edu