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

Depression and Mood Disorders; Suicide Prevention (1273) Digital Biomarkers and Digital Phenotyping (177) Ecological Momentary Assessment (EMA) (294) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1302) Wearable Devices and Sensors (812)

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 (40) Tweetations (42) Metrics

Journals

  1. Weizenbaum E, Torous J, Fulford D. Cognition in Context: Understanding the Everyday Predictors of Cognitive Performance in a New Era of Measurement. JMIR mHealth and uHealth 2020;8(7):e14328 View
  2. Marsch L. Digital health data-driven approaches to understand human behavior. Neuropsychopharmacology 2021;46(1):191 View
  3. Benjamens S, Dhunnoo P, Meskó B. The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database. npj Digital Medicine 2020;3(1) View
  4. Hafiz P, Bardram J. The Ubiquitous Cognitive Assessment Tool for Smartwatches: Design, Implementation, and Evaluation Study. JMIR mHealth and uHealth 2020;8(6):e17506 View
  5. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1) View
  6. Hafiz P, Miskowiak K, Maxhuni A, Kessing L, Bardram J. Wearable Computing Technology for Assessment of Cognitive Functioning of Bipolar Patients and Healthy Controls. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(4):1 View
  7. Müller L, Gossmann K, Schmid R, Rosner R, Unterhitzenberger J, Nater-Mewes R. A pilot study on ecological momentary assessment in asylum-seeking children and adolescents resettled to Germany: Investigating compliance, post-migration factors, and the relation between daily mood, sleep patterns, and mental health. PLOS ONE 2021;16(2):e0246069 View
  8. Yunusova A, Lai J, Rivera A, Hu S, Labbaf S, Rahmani A, Dutt N, Jain R, Borelli J. Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study. JMIR Research Protocols 2021;10(3):e25775 View
  9. Hilty D, Armstrong C, Luxton D, Gentry M, Krupinski E. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021;6(2):278 View
  10. Ferrar J, Griffith G, Skirrow C, Cashdollar N, Taptiklis N, Dobson J, Cree F, Cormack F, Barnett J, Munafò M. Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings. Journal of Medical Internet Research 2021;23(6):e26004 View
  11. Sverdlov O, Curcic J, Hannesdottir K, Gou L, De Luca V, Ambrosetti F, Zhang B, Praestgaard J, Vallejo V, Dolman A, Gomez-Mancilla B, Biliouris K, Deurinck M, Cormack F, Anderson J, Bott N, Peremen Z, Issachar G, Laufer O, Joachim D, Jagesar R, Jongs N, Kas M, Zhuparris A, Zuiker R, Recourt K, Zuilhof Z, Cha J, Jacobs G. A Study of Novel Exploratory Tools, Digital Technologies, and Central Nervous System Biomarkers to Characterize Unipolar Depression. Frontiers in Psychiatry 2021;12 View
  12. Lee S, Kim H, Park M, Jeon H. Current Advances in Wearable Devices and Their Sensors in Patients With Depression. Frontiers in Psychiatry 2021;12 View
  13. Taliaz D, Souery D. A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder. Journal of Clinical Medicine 2021;10(14):3109 View
  14. Goodday S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Rangwala S, Karlin D, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, Friend S. An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study. JMIR Formative Research 2021;5(12):e32165 View
  15. Ahmed A, Aziz S, Alzubaidi M, Schneider J, Irshaidat S, Abu Serhan H, Abd-alrazaq A, Solaiman B, Househ M. Wearable devices for anxiety & depression: A scoping review. Computer Methods and Programs in Biomedicine Update 2023;3:100095 View
  16. Houts C, Patrick-Lake B, Clay I, Wirth R. The Path Forward for Digital Measures: Suppressing the Desire to Compare Apples and Pineapples. Digital Biomarkers 2020;4(Suppl. 1):3 View
  17. Molloy A, Anderson P. Engagement with mobile health interventions for depression: A systematic review. Internet Interventions 2021;26:100454 View
  18. Cao B, Xiao M, Chen X, Zhao Y, Pan Z, McIntyre R, Chen H. Application of computerized cognitive test battery in major depressive disorder: a narrative literature review. Nordic Journal of Psychiatry 2022;76(4):263 View
  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
  25. Ben-Dor Cohen M, Maeir A, Eldar E, Nahum M. Everyday Cognitive Control and Emotion Dysregulation in Young Adults With and Without ADHD: An Ecological Momentary Assessment Study. Journal of Attention Disorders 2023;27(5):539 View
  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
  29. Muhsen I, Rasheed O, Habib E, Alsaad R, Maghrabi M, Rahman M, Sicker D, Wood W, Beg M, Sung A, Hashmi S. Current status and future perspectives on the Internet of Things in oncology. Hematology/Oncology and Stem Cell Therapy 2021 View
  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
  33. Vignapiano A, Monaco F, Pagano C, Piacente M, Farina F, Petrillo G, Sica R, Marenna A, Shin J, Solmi M, Corrivetti G. A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms. Frontiers in Psychiatry 2023;14 View
  34. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  35. Cormack F, McCue M, Skirrow C, Cashdollar N, Taptiklis N, van Schaik T, Fehnert B, King J, Chrones L, Sarkey S, Kroll J, Barnett J. Characterizing Longitudinal Patterns in Cognition, Mood, And Activity in Depression With 6-Week High-Frequency Wearable Assessment: Observational Study. JMIR Mental Health 2024;11:e46895 View

Books/Policy Documents

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