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

Non-randomized Protocols and Methods (ehealth) (568) Digital Biomarkers and Digital Phenotyping (191) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Bipolar Disorders (56)

Published on in Vol 9, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18818, first published .
Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study

Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study

Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study

Authors of this article:

Aroldo A Dargél1, 2, 3 Author Orcid Image ;   Elise Mosconi3 Author Orcid Image ;   Marc Masson4 Author Orcid Image ;   Marion Plaze5 Author Orcid Image ;   Fabien Taieb6 Author Orcid Image ;   Cassandra Von Platen6 Author Orcid Image ;   Tan Phuc Buivan6 Author Orcid Image ;   Guillaume Pouleriguen7 Author Orcid Image ;   Marie Sanchez7 Author Orcid Image ;   Stéphane Fournier7 Author Orcid Image ;   Pierre-Marie Lledo1, 2 Author Orcid Image ;   Chantal Henry1, 5 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Journals

  1. Orsolini L, Fiorani M, Volpe U. Digital Phenotyping in Bipolar Disorder: Which Integration with Clinical Endophenotypes and Biomarkers?. International Journal of Molecular Sciences 2020;21(20):7684 View
  2. Sheikh M, Qassem M, Kyriacou P. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Frontiers in Digital Health 2021;3 View
  3. Rotenberg L, Borges-Júnior R, Lafer B, Salvini R, Dias R. Exploring machine learning to predict depressive relapses of bipolar disorder patients. Journal of Affective Disorders 2021;295:681 View
  4. Kim S, Lee M, Jeong H, Jang Y. Effectiveness of mobile applications for patients with severe mental illness: A meta‐analysis of randomized controlled trials. Japan Journal of Nursing Science 2022;19(3) View
  5. Bjella T, Collier Høegh M, Holmstul Olsen S, Aminoff S, Barrett E, Ueland T, Icick R, Andreassen O, Nerhus M, Myhre Ihler H, Hagen M, Busch-Christensen C, Melle I, Lagerberg T. Developing “MinDag” – an app to capture symptom variation and illness mechanisms in bipolar disorder. Frontiers in Medical Technology 2022;4 View
  6. DONG B, WANG C, ZHANG X, ZHANG T. Sequential surface integration process hypothesis of the ground-surface reference frame. Advances in Psychological Science 2020;28(12):2000 View
  7. Warsinsky S, Schmidt-Kraepelin M, Rank S, Thiebes S, Sunyaev A. Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING). Journal of Medical Internet Research 2021;23(9):e30390 View
  8. Audibert C, de Moura Fereli Reis A, Zazula R, Machado R, Guariente S, Nunes S. Development of digital intervention through a mobile phone application as an adjunctive treatment for bipolar disorder: MyBee project. Clinical eHealth 2022;5:72 View
  9. Hartner-Tiefenthaler M, Schoellbauer J. App-based self-trainings targeting strain recovery and their effect on concentration. Scientific Reports 2023;13(1) View
  10. Kadirvelu B, Bellido Bel T, Wu X, Burmester V, Ananth S, Cabral C C Branco B, Girela-Serrano B, Gledhill J, Di Simplicio M, Nicholls D, Faisal A. Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study. JMIR Formative Research 2023;7:e44877 View

Books/Policy Documents

  1. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View
  2. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View