Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67715, first published .
Development and Feasibility Study of HOPE Model for Prediction  of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study

Shayan Nejadshamsi   1, 2, 3 , PhD ;   Vania Karami   1, 2, 3 , PhD ;   Negar Ghourchian   4 , PhD ;   Narges Armanfard   1, 5 , PhD ;   Howard Bergman   2 , MD, FRCP ;   Roland Grad   2 , MD, CM, MSc ;   Machelle Wilchesky   2, 3, 6 , PhD ;   Vladimir Khanassov   2 , MD ;   Isabelle Vedel   2 , MD, PhD ;   Samira Abbasgholizadeh Rahimi   1, 2, 3, 7 , BEng, PhD

1 Mila—Quebec Artificial Intelligence Institute, Montreal, QC, Canada

2 Family Medicine Department, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada

3 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada

4 Aerial Technologies, Montreal, QC, Canada

5 Department of Electrical and Computer Engineering, Faculty of Engineering, McGill University, Montreal, QC, Canada

6 Donald Berman Maimonides Centre for Research in Aging, Montreal, QC, Canada

7 Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Canada

Corresponding Author:

  • Samira Abbasgholizadeh Rahimi, BEng, PhD
  • Family Medicine Department
  • Faculty of Medicine and Health Sciences
  • McGill University
  • 5858 Côte des Negies
  • Montreal, QC, H3S 1Z1
  • Canada
  • Phone: 1 5143987375
  • Email: samira.rahimi@mcgill.ca