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

Depression and Mood Disorders; Suicide Prevention (1363) Digital Biomarkers and Digital Phenotyping (191) Ecological Momentary Assessment (EMA) (309) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Wearable Devices and Sensors (888)

Published on in Vol 6, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12814, first published .
Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study

Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study

Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study

Authors of this article:

Francesca Cormack1, 2 Author Orcid Image ;   Maggie McCue3 Author Orcid Image ;   Nick Taptiklis1, 2 Author Orcid Image ;   Caroline Skirrow1, 4 Author Orcid Image ;   Emilie Glazer2, 5 Author Orcid Image ;   Elli Panagopoulos2, 5 Author Orcid Image ;   Tempest A van Schaik2, 5 Author Orcid Image ;   Ben Fehnert2, 5 Author Orcid Image ;   James King2, 5 Author Orcid Image ;   Jennifer H Barnett1, 2, 6 Author Orcid Image
Article Authors Cited by (42) Tweetations (39) Metrics

Journals

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  19. Bastardo R, Pavão J, Martins A, Silva A, Rocha N. A Scoping Review of Digital Solutions that Might be Used as Cognitive Screening Instruments of Community-Dwelling Older Adults. Procedia Computer Science 2022;196:956 View
  20. Mughal H, Javed A, Rizwan M, Almadhor A, Kryvinska N. Parkinson’s Disease Management via Wearable Sensors: A Systematic Review. IEEE Access 2022;10:35219 View
  21. Hampsey E, Meszaros M, Skirrow C, Strawbridge R, Taylor R, Chok L, Aarsland D, Al-Chalabi A, Chaudhuri R, Weston J, Fristed E, Podlewska A, Awogbemila O, Young A. Protocol for Rhapsody: a longitudinal observational study examining the feasibility of speech phenotyping for remote assessment of neurodegenerative and psychiatric disorders. BMJ Open 2022;12(6):e061193 View
  22. Goldsack J, Dowling A, Samuelson D, Patrick-Lake B, Clay I. Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint. Digital Biomarkers 2021;5(1):53 View
  23. Jeng M, Pai F, Yeh T. Antecedents for Older Adults’ Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator. Behavioral Sciences 2022;12(4):114 View
  24. de-la-Fuente-Robles Y, Ricoy-Cano A, Albín-Rodríguez A, López-Ruiz J, Espinilla-Estévez M. Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus. Sensors 2022;22(22):8599 View
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  26. Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson N. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1) View
  27. Lui G, Loughnane D, Polley C, Jayarathna T, Breen P. The Apple Watch for Monitoring Mental Health–Related Physiological Symptoms: Literature Review. JMIR Mental Health 2022;9(9):e37354 View
  28. Goodday S, Karlin E, Brooks A, Chapman C, Karlin D, Foschini L, Kipping E, Wildman M, Francis M, Greenman H, Li L, Schadt E, Ghassemi M, Goldenberg A, Cormack F, Taptiklis N, Centen C, Smith S, Friend S. Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. npj Digital Medicine 2022;5(1) View
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  30. Curcic J, Vallejo V, Sorinas J, Sverdlov O, Praestgaard J, Piksa M, Deurinck M, Erdemli G, Bügler M, Tarnanas I, Taptiklis N, Cormack F, Anker R, Massé F, Souillard-Mandar W, Intrator N, Molcho L, Madero E, Bott N, Chambers M, Tamory J, Shulz M, Fernandez G, Simpson W, Robin J, Snædal J, Cha J, Hannesdottir K. Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study: Protocol for an Exploratory, Cross-sectional Study. JMIR Research Protocols 2022;11(8):e35442 View
  31. Lauvsnes A, Hansen T, Ankill S, Bae S, Gråwe R, Braund T, Larsen M, Langaas M. Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use Disorders in Norway: Prospective Observational Feasibility Study. JMIR Formative Research 2023;7:e45254 View
  32. Jenciūtė G, Kasputytė G, Bunevičienė I, Korobeinikova E, Vaitiekus D, Inčiūra A, Jaruševičius L, Bunevičius R, Krikštolaitis R, Krilavičius T, Juozaitytė E, Bunevičius A. Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study. JMIR Research Protocols 2023;12:e49096 View
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Books/Policy Documents

  1. Cipriano M, Costagliola G, De Rosa M, Fuccella V, Shevchenko S. Innovation in Medicine and Healthcare. View