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

Digital Biomarkers and Digital Phenotyping (438) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3209) mHealth for Data Collection and Research (1727) Mobile Health in Psychiatry (731) Psychotic Disorders (291) Wearable Devices and Sensors (1586)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56185, first published .
Young woman in business attire looking at her smartphone while leaning on a wooden railing

Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study

Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study

Authors of this article:

Zixu Yang1 Author Orcid Image ;   Creighton Heaukulani2 Author Orcid Image ;   Amelia Sim3 Author Orcid Image ;   Thisum Buddhika2 Author Orcid Image ;   Nur Amirah Abdul Rashid1 Author Orcid Image ;   Xuancong Wang2 Author Orcid Image ;   Shushan Zheng3 Author Orcid Image ;   Yue Feng Quek1 Author Orcid Image ;   Sutapa Basu3 Author Orcid Image ;   Kok Wei Lee3 Author Orcid Image ;   Charmaine Tang3 Author Orcid Image ;   Swapna Verma3 Author Orcid Image ;   Robert J T Morris2, 4 Author Orcid Image ;   Jimmy Lee1, 3, 5 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Das N, Choudhary S, Nagendra S, Dutt S, Reddy P, Naslund J, Torous J, Mehta U. Digital phenotyping correlates of cognitive performance in schizophrenia spectrum disorders from a longitudinal study. Schizophrenia Research 2025;283:130 View
  2. Flores-Castañeda R, Olaya-Cotera S, Iparraguirre-Villanueva O. Exploring wearable technologies for health monitoring: a systematic review of applications, advantages and disadvantages. Neural Computing and Applications 2025;37(33):27957 View
  3. Xia W, Hau C, Firth J, Kimhy D, Torous J. Smartphone Apps and Digital Tools for Managing Schizophrenia and Psychotic Disorders: A Clinical Review. Focus 2025;23(4):419 View
  4. Marta Cieślak , Anna Baranowska , Aleksandra Oparcik , Anastazja Orłowa , Laura Kurczoba , Anita Pakuła , Klaudia Martyna Patrzykąt , Julia Pawłowska , Kinga Szyszka , Kamil Turlej . BEYOND THE CLINIC: A NARRATIVE REVIEW OF DIGITAL BIOMARKERS FOR MONITORING PSYCHOTIC DISORDERS IN NATURALISTIC SETTINGS. International Journal of Innovative Technologies in Social Science 2025;3(4(48)) View
  5. Troublefield T. Operational Cyberpsychology: Cognitive Targeting and Precision Influence in Contested Digital Environments. Journal of Information Security 2026;17(02):70 View
  6. Olawade J, Ebo T, Alabi J, Makanjuola B, Egbon E, Olawade D. Digital twin technology in forensic mental health. Journal of Forensic and Legal Medicine 2026;120:103137 View
  7. Pinzi M, Fagiolini A, Gualtieri G, Rescalli M, Pierini C, Santangelo A, Patrizio B, Cuomo A. Rehabilitation in Adults with Complex Psychosis: A Clinician-Oriented Narrative Review of Multidimensional Approaches to Functional Recovery. Medicina 2026;62(5):841 View
  8. Prithviraj H, Mahabaleshwara J, Anjanappa P, Spoorthi H. Personalizing lithium therapy: The role of pharmacogenomics in bipolar disorder. International Journal of Health & Allied Sciences 2025;14(4):301 View
  9. Alam N, Haque T, Subedar S, Giacco D, Singh S, Jilka S. Digital phenotyping for mental health conditions: a systematic review of implementation and application. Frontiers in Digital Health 2026;8 View
  10. Wu W, He J, Hu J, Xu X, Yang M, Wen F. Intranasal biomaterials for treatment-resistant depression: device–formulation coupling and therapeutic exposure. Frontiers in Bioengineering and Biotechnology 2026;14 View
  11. Zhang Q, Huang B, Song H. Associations and Potential Pathways Linking Excessive Short-Video Use to Mental Health Among Vocational High School Students in China: An Integrated Analysis Based on Machine Learning and Path Analysis. Behavioral Sciences 2026;16(8):1429 View