Published on 06.01.16 in Vol 3, No 1 (2016): Jan-Mar
Works citing "Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/mental.4560):
(note that this is only a small subset of citations)
- Faurholt-Jepsen M, Geddes JR, Goodwin GM, Bauer M, Duffy A, Vedel Kessing L, Saunders K. Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)—recommendations. Translational Psychiatry 2019;9(1)CrossRef
- Goodday SM, Cipriani A. Challenges in identifying behavioural markers of bipolar disorder through objective smartphone data. Australian & New Zealand Journal of Psychiatry 2019;53(2):168CrossRef
- Fraccaro P, Beukenhorst A, Sperrin M, Harper S, Palmier-Claus J, Lewis S, Van der Veer SN, Peek N. Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review. Journal of the American Medical Informatics Association 2019;CrossRef
- Pennou A, Lecomte T, Potvin S, Khazaal Y. Mobile Intervention for Individuals With Psychosis, Dual Disorders, and Their Common Comorbidities: A Literature Review. Frontiers in Psychiatry 2019;10CrossRef
- Majumder S, Deen MJ. Smartphone Sensors for Health Monitoring and Diagnosis. Sensors 2019;19(9):2164CrossRef
- Gillett G, Saunders KEA. Remote Monitoring for Understanding Mechanisms and Prediction in Psychiatry. Current Behavioral Neuroscience Reports 2019;6(2):51CrossRef
- Pham Q, Graham G, Carrion C, Morita PP, Seto E, Stinson JN, Cafazzo JA. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941CrossRef
- Faurholt-Jepsen M, Busk J, Þórarinsdóttir H, Frost M, Bardram JE, Vinberg M, Kessing LV. Objective smartphone data as a potential diagnostic marker of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2019;53(2):119CrossRef
- Seppälä J, De Vita I, Jämsä T, Miettunen J, Isohanni M, Rubinstein K, Feldman Y, Grasa E, Corripio I, Berdun J, D'Amico E, Bulgheroni M. Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Mental Health 2019;6(2):e9819CrossRef
- Faurholt-Jepsen M, Bauer M, Kessing LV. Smartphone-based objective monitoring in bipolar disorder: status and considerations. International Journal of Bipolar Disorders 2018;6(1)CrossRef
- Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in people with mental health conditions: a systematic review. HRB Open Research 2018;1:5CrossRef
- Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in people with mental health conditions: a systematic review. HRB Open Research 2018;1:5CrossRef
- Quiroz JC, Geangu E, Yong MH. Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study. JMIR Mental Health 2018;5(3):e10153CrossRef
- Song K, Lee S, Yoon W, Kim C, Joo Y, Lee J, Chon M. Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder. Journal of Korean Neuropsychiatric Association 2018;57(3):244CrossRef
- Bourla A, Ferreri F, Ogorzelec L, Guinchard C, Mouchabac S. Évaluation des troubles thymiques par l’étude des données passives : le concept de phénotype digital à l’épreuve de la culture de métier de psychiatre. L'Encéphale 2018;44(2):168CrossRef
- Knight A, Bidargaddi N. Commonly available activity tracker apps and wearables as a mental health outcome indicator: A prospective observational cohort study among young adults with psychological distress. Journal of Affective Disorders 2018;236:31CrossRef
- Wang E, Zhou L, Chen SK, Hill K, Parmanto B. An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation. JMIR Rehabilitation and Assistive Technologies 2018;5(2):e14CrossRef
- Cornet VP, Holden RJ. Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics 2018;77:120CrossRef
- Bauer AM, Iles-Shih M, Ghomi RH, Rue T, Grover T, Kincler N, Miller M, Katon WJ. Acceptability of mHealth augmentation of Collaborative Care: A mixed methods pilot study. General Hospital Psychiatry 2018;51:22CrossRef
- Moran J, Kelly G, Haberlin C, Mockler D, Broderick J. The use of eHealth to promote physical activity in patients with mental health conditions: a systematic review. HRB Open Research 2018;1:5CrossRef
- Parker GB, Tavella G. Design limitations to bipolar II treatment efficacy studies: A challenge and a revisionist strategy. Journal of Affective Disorders 2018;229:334CrossRef
- Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165CrossRef
- Reinertsen E, Clifford GD. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiological Measurement 2018;39(5):05TR01CrossRef
- Rajagopalan A, Shah P, Zhang M, Ho R. Digital Platforms in the Assessment and Monitoring of Patients with Bipolar Disorder. Brain Sciences 2017;7(12):150CrossRef
- Saunders K, Bilderbeck A, Panchal P, Atkinson L, Geddes J, Goodwin G. Experiences of remote mood and activity monitoring in bipolar disorder: A qualitative study. European Psychiatry 2017;41:115CrossRef
- Bidargaddi N, Musiat P, Makinen V, Ermes M, Schrader G, Licinio J. Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies. Molecular Psychiatry 2017;22(2):164CrossRef
- Meekan MG, Duarte CM, Fernández-Gracia J, Thums M, Sequeira AM, Harcourt R, Eguíluz VM. The Ecology of Human Mobility. Trends in Ecology & Evolution 2017;32(3):198CrossRef
- Park DY, Goering EM, Head KJ, Bartlett Ellis RJ. Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model. JMIR Formative Research 2017;1(1):e5CrossRef
- Owen JE, Jaworski BK, Kuhn E, Hoffman JE, Schievelbein L, Chang A, Ramsey K, Rosen C. Development of a mobile app for family members of Veterans with PTSD: identifying needs and modifiable factors associated with burden, depression, and anxiety. Journal of Family Studies 2017;:1CrossRef
- Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526CrossRef
- Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;CrossRef
- Dogan E, Sander C, Wagner X, Hegerl U, Kohls E. Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review. Journal of Medical Internet Research 2017;19(7):e262CrossRef
- Coelho YL, Bastos-Filho TF. A Bipolar Disorder Monitoring System Based on Wearable Device and Smartphone. IFAC-PapersOnLine 2016;49(30):216CrossRef
- White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mental.4560)
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