Published on in Vol 4, No 3 (2016): Jul-Sept
Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
Frontiers in Psychology
| The Digital Phenotyping Project: A Psychoanalytical and Network Theory Perspective |
BMC Public Health
| Run4Love, a mHealth (WeChat-based) intervention to improve mental health of people living with HIV: a randomized controlled trial protocol |
Gesundheit digital
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JMIR mHealth and uHealth
| Utilization of Smartphones’ Depth Mapping Cameras for the App-based Grading of Facial Movement Disorders: Design and Development (Preprint) |
| Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations |
| Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study |
| Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety |
| Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study |
| Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone |
| A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review |
| Smartphone Apps for the Treatment of Mental Disorders: Systematic Review |
Journal of Biomedical Informatics
| User acceptance of location-tracking technologies in health research: Implications for study design and data quality |
| Systematic review of smartphone-based passive sensing for health and wellbeing |
| Mental health ubiquitous monitoring supported by social situation awareness: A systematic review |
Ethics of Innovation in Neurosurgery
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Journal of Healthcare Engineering
| Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective |
Ethical Dimensions of Commercial and DIY Neurotechnologies
| { "doi": "10.2196/mhealth.5960", "book_cite": { "fl_count": "0", "issn": { "type": "print", "$t": "25892959" }, "isbn": { "type": "print", "$t": "9780128161814" }, "series_title": "Developments in Neuroethics and Bioethics", "volume_title": "Ethical Dimensions of Commercial and DIY Neurotechnologies", "volume": "3", "contributors": { "contributor": { "first-author": "true", "sequence": "first", "contributor_role": "author", "given_name": "Nicole", "surname": "Martinez-Martin" } }, "first_page": "63", "year": "2020", "publication_type": "full_text", "doi": { "type": "book_content", "$t": "10.1016/bs.dnb.2020.03.003" } } } |
JMIR Mental Health
| Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review |
| Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study |
| Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study |
| The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing |
| Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment |
| Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study |
Digitale Transformation von Dienstleistungen im Gesundheitswesen VI
| { "doi": "10.2196/mhealth.5960", "book_cite": { "fl_count": "0", "isbn": [ { "type": "print", "$t": "978-3-658-25460-5" }, { "type": "electronic", "$t": "978-3-658-25461-2" } ], "volume_title": "Digitale Transformation von Dienstleistungen im Gesundheitswesen VI", "contributors": { "contributor": [ { "first-author": "true", "sequence": "first", "contributor_role": "author", "given_name": "Tobias", "surname": "Kowatsch" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Doris", "surname": "Fischer-Taeschler" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Fabian", "surname": "Putzing" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Pius", "surname": "Bürki" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Christoph", "surname": "Stettler" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Gabriella", "surname": "Chiesa-Tanner" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Elgar", "surname": "Fleisch" } ] }, "first_page": "205", "year": "2019", "publication_type": "full_text", "component_number": "Chapter 12", "doi": { "type": "book_content", "$t": "10.1007/978-3-658-25461-2_12" } } } |
JMIR Research Protocols
| Social Support and Common Dyadic Coping in Couples' Dyadic Management of Type II Diabetes: Protocol for an Ambulatory Assessment Application |
| Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype |
Journal of Medical Internet Research
| Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review |
| Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review |
| Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis |
| Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications |
Current Psychiatry Reports
| Review of Use and Integration of Mobile Apps Into Psychiatric Treatments |
| Artificial Intelligence for Mental Health and Mental Illnesses: an Overview |
BMC Psychology
| PEACH, a smartphone- and conversational agent-based coaching intervention for intentional personality change: study protocol of a randomized, wait-list controlled trial |
JMIR Formative Research
| The Relationship Between Smartphone-Recorded Environmental Audio and Symptomatology of Anxiety and Depression: Exploratory Study |
FOCUS
| Consequences of Recurrence of Major Depressive Disorder: Is Stopping Effective Antidepressant Medications Ever Safe? |
International Journal of Distributed Sensor Networks
| Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns |
Journal of Psychiatry and Brain Science
| Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics |
PLOS ONE
| Gamification as an approach to improve resilience and reduce attrition in mobile mental health interventions: A randomized controlled trial |
| Development and evaluation of a mobile-optimized daily self-rating depression screening app: A preliminary study |
American Journal of Physical Medicine & Rehabilitation
| Digital Phenotyping to Quantify Psychosocial Well-Being Trajectories After Spinal Cord Injury |
Sensors
| Smartphone Sensors for Health Monitoring and Diagnosis |
| Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals |
| Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones |
GetMobile: Mobile Computing and Communications
| Bio-Behavioral Sensing |
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
| Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students |
| Predicting Brain Functional Connectivity Using Mobile Sensing |
| Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing |
Perspektiven des Dienstleistungsmanagements
| { "doi": "10.2196/mhealth.5960", "book_cite": { "fl_count": "0", "isbn": [ { "type": "print", "$t": "978-3-658-28671-2" }, { "type": "electronic", "$t": "978-3-658-28672-9" } ], "volume_title": "Perspektiven des Dienstleistungsmanagements", "contributors": { "contributor": [ { "first-author": "true", "sequence": "first", "contributor_role": "author", "given_name": "Florian", "surname": "von Wangenheim" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Julian", "surname": "Ventouris" } ] }, "first_page": "677", "year": "2020", "publication_type": "full_text", "component_number": "Chapter 34", "doi": { "type": "book_content", "$t": "10.1007/978-3-658-28672-9_34" } } } |
Frontiers in Psychiatry
| { "doi": "10.2196/mhealth.5960", "book_cite": { "fl_count": "0", "issn": [ { "type": "print", "$t": "0065-2598" }, { "type": "electronic", "$t": "2214-8019" } ], "isbn": [ { "type": "print", "$t": "978-981-32-9720-3" }, { "type": "electronic", "$t": "978-981-32-9721-0" } ], "series_title": "Advances in Experimental Medicine and Biology", "volume_title": "Frontiers in Psychiatry", "volume": "1192", "contributors": { "contributor": [ { "first-author": "true", "sequence": "first", "contributor_role": "author", "given_name": "David Daniel", "surname": "Ebert" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Mathias", "surname": "Harrer" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Jennifer", "surname": "Apolinário-Hagen" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Harald", "surname": "Baumeister" } ] }, "first_page": "583", "year": "2019", "publication_type": "full_text", "component_number": "Chapter 29", "doi": { "type": "book_content", "$t": "10.1007/978-981-32-9721-0_29" } } } |
European Archives of Psychiatry and Clinical Neuroscience
| Smartphone applications for depression: a systematic literature review and a survey of health care professionals’ attitudes towards their use in clinical practice |
Psychiatric Nonadherence
| { "doi": "10.2196/mhealth.5960", "book_cite": { "fl_count": "0", "isbn": [ { "type": "print", "$t": "978-3-030-12664-3" }, { "type": "electronic", "$t": "978-3-030-12665-0" } ], "volume_title": "Psychiatric Nonadherence", "contributors": { "contributor": [ { "first-author": "true", "sequence": "first", "contributor_role": "author", "given_name": "Sourav", "surname": "Sengupta" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Michael", "surname": "Adragna" } ] }, "first_page": "201", "year": "2019", "publication_type": "full_text", "component_number": "Chapter 14", "doi": { "type": "book_content", "$t": "10.1007/978-3-030-12665-0_14" } } } |
Current Opinion in Psychology
| Privacy in the age of psychological targeting |
Psychological Medicine
| Machine learning in mental health: a scoping review of methods and applications |
International Journal of Environmental Research and Public Health
| Evaluation of the Effectiveness of Mobile App-Based Stress-Management Program: A Randomized Controlled Trial |
| Considerations for Designing Context-Aware Mobile Apps for Mental Health Interventions |
Procedia Computer Science
| Prediction of stress levels with LSTM and passive mobile sensors |
Computer Methods and Programs in Biomedicine
| Development and testing of iAware model for ubiquitous care of patients with symptoms of stress, anxiety and depression |
npj Digital Medicine
| Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety |
Korean Journal of Stress Research
| Mobile Health (m-health) on Mental Health |
Intelligent Data Sensing and Processing for Health and Well-Being Applications
| { "doi": "10.2196/mhealth.5960", "book_cite": { "fl_count": "0", "isbn": { "type": "print", "$t": "9780128121306" }, "volume_title": "Intelligent Data Sensing and Processing for Health and Well-Being Applications", "contributors": { "contributor": [ { "first-author": "true", "sequence": "first", "contributor_role": "author", "given_name": "Luis A.", "surname": "Castro" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Marcela D.", "surname": "Rodríguez" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Fernando", "surname": "Martínez" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Luis-Felipe", "surname": "Rodríguez" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Ángel G.", "surname": "Andrade" }, { "first-author": "false", "sequence": "additional", "contributor_role": "author", "given_name": "Raymundo", "surname": "Cornejo" } ] }, "first_page": "3", "year": "2018", "publication_type": "full_text", "doi": { "type": "book_content", "$t": "10.1016/B978-0-12-812130-6.00001-9" } } } |
Clinical Therapeutics
| What Can Big Data Offer the Pharmacovigilance of Orphan Drugs? |
Mental Health and Physical Activity
| Smartphone-based passive assessment of mobility in depression: Challenges and opportunities |
Psychotherapy Research
| A scoping review of machine learning in psychotherapy research |
Telematics and Informatics
| Gamification and serious games in depression care: A systematic mapping study |
International Journal of Bipolar Disorders
| Smartphones in mental health: a critical review of background issues, current status and future concerns |
L'Encéphale
| 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 |
Journal of Epidemiology and Community Health
| Linking physical and social environments with mental health in old age: a multisensor approach for continuous real-life ecological and emotional assessment |
Depression and Anxiety
| The accuracy of passive phone sensors in predicting daily mood |
| 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 |
Journal of Affective Disorders
| The utility of smartphone-based, ecological momentary assessment for depressive symptoms |
Australian & New Zealand Journal of Psychiatry
| Objective smartphone data as a potential diagnostic marker of bipolar disorder |
Nursing Outlook
| The potential of digital phenotyping to advance the contributions of mobile health to self-management science |