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

Psychotic Disorders (295) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3321) mHealth for Data Collection and Research (1771) Wearable Devices and Sensors (1639) Digital Biomarkers and Digital Phenotyping (467)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75774, first published .
Wearable tech monitoring stress levels and emotional well-being.

Smartwatch-Derived Digital Phenotypes Relate to Psychopathology Dimensions in Patients With Psychotic Spectrum Disorders: Longitudinal Observational Study

Smartwatch-Derived Digital Phenotypes Relate to Psychopathology Dimensions in Patients With Psychotic Spectrum Disorders: Longitudinal Observational Study

Authors of this article:

Vasiliki Garyfalli1, 2 Author Orcid Image ;   Emmanouil Kalisperakis1, 2 Author Orcid Image ;   Alexandros Smyrnis1, 3 Author Orcid Image ;   Marina Lazaridi1 Author Orcid Image ;   Thomas Karantinos1 Author Orcid Image ;   Asimakis Mantas1 Author Orcid Image ;   Panagiotis P Filntisis4 Author Orcid Image ;   Niki Efthymiou4 Author Orcid Image ;   Athanasia Zlatintsi4 Author Orcid Image ;   Petros Maragos4 Author Orcid Image ;   Nikolaos Smyrnis1, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Smyrnis A, Smyrnis G, Lazaridi M, Mantas A, Karantinos T, Klein C, Maragos P, Smyrnis N. Longitudinal measurements of inhibitory cognitive performance in patients with schizophrenia and bipolar disorder. Schizophrenia Research: Cognition 2026;44:100426 View
  2. Kéri S. Szimulált tudat, álempátia és kötődésillúzió: mit kezdhet a pszichiátria a mesterséges intelligenciával?. Orvosi Hetilap 2026;167(14):539 View
  3. Jacobson S, Carling H, Sarraf L, Draper E, Jacobson S, St-James M, Misiasz C, Williamson S, Thibaudeau E, Sauvé G, Lavigne K, Raucher-Chéné D. Digital tools for assessing bipolar disorder: A scoping review of the current landscape. Neuroscience Applied 2026;5:107004 View
  4. Ricci V, Sarni A, Barresi M, Remondino L, Martinotti G, Maina G. Biomarkers for Predicting Clinical Deterioration in Schizophrenia-Spectrum Disorders: A Systematic Review. Brain Sciences 2026;16(6):550 View
  5. Morra D, Ficca G, Barbato G. Polysomnographic Parameters in Schizoaffective Disorder: A Systematic Review and Meta-Analysis. Alpha Psychiatry 2026;27(4) View
  6. Shu Y, Li Q, Liang L, Liu J, Zheng Z, Li T, Huang S, Chen J, Wen J, Tan J. AI-enabled passive digital phenotyping of experiential negative symptoms in schizophrenia-spectrum disorders: a narrative review on the path from sensing to clinical endpoints. Frontiers in Psychiatry 2026;17 View
  7. Yang Y, Ihara K, Sandoval Garrido F, Hirata K, Jiang T, Lan H, Wu H, Yu H, Tamada Y, Murashita K, Itoh K, Yoshida K. SensorW: Open-Source Wear Operating System Platform for Continuous Global Positioning System and Multimodal Sensor Data Collection in Real-World Settings. Sensors 2026;26(19):6093 View