Published on in Vol 20, No 6 (2018): June
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/9410, first published
.
Journals
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- Paromita P, Mundnich K, Nadarajan A, Booth B, Narayanan S, Chaspari T. Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers in Digital Health 2023;5 View
- Clay I, De Luca V, Sano A. Editorial: Multimodal digital approaches to personalized medicine. Frontiers in Big Data 2023;6 View
- Wang Z, Larrazabal M, Rucker M, Toner E, Daniel K, Kumar S, Boukhechba M, Teachman B, Barnes L. Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
- Bambang Dwi Kuncoro C, Efendi A, Mahardini Sakanti M. Wearable sensor for psychological stress monitoring of pregnant woman – State of the art. Measurement 2023;221:113556 View
- Rajkishan S, Meitei A, Singh A. Role of AI/ML in the study of mental health problems of the students: a bibliometric study. International Journal of System Assurance Engineering and Management 2024;15(5):1615 View
- Jan M, Coppin-Renz A, West R, Gallo C, Cochran J, Heumen E, Fahmy M, Reuteman-Fowler J. Safety Evaluation in Iterative Development of Wearable Patches for Aripiprazole Tablets With Sensor: Pooled Analysis of Clinical Trials. JMIR Formative Research 2023;7:e44768 View
- Hartson K, Huntington-Moskos L, Sears C, Genova G, Mathis C, Ford W, Rhodes R. Use of Electronic Ecological Momentary Assessment Methodologies in Physical Activity, Sedentary Behavior, and Sleep Research in Young Adults: Systematic Review. Journal of Medical Internet Research 2023;25:e46783 View
- Azizan A, Ahmed W, Razak A. Sensing health: a bibliometric analysis of wearable sensors in healthcare. Health and Technology 2024;14(1):15 View
- Abd-alrazaq A, Alajlani M, Ahmad R, AlSaad R, Aziz S, Ahmed A, Alsahli M, Damseh R, Sheikh J. The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e52622 View
- Nagaraj S, Goodday S, Hartvigsen T, Boch A, Garg K, Gowda S, Foschini L, Ghassemi M, Friend S, Goldenberg A. Dissecting the heterogeneity of “in the wild” stress from multimodal sensor data. npj Digital Medicine 2023;6(1) View
- Stamatis C, Meyerhoff J, Meng Y, Lin Z, Cho Y, Liu T, Karr C, Liu T, Curtis B, Ungar L, Mohr D. Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study. npj Mental Health Research 2024;3(1) View
- Castro Ribeiro T, García Pagès E, Ballester L, Vilagut G, García Mieres H, Suárez Aragonès V, Amigo F, Bailón R, Mortier P, Pérez Sola V, Serrano-Blanco A, Alonso J, Aguiló J. Design of a Remote Multiparametric Tool to Assess Mental Well-Being and Distress in Young People (mHealth Methods in Mental Health Research Project): Protocol for an Observational Study. JMIR Research Protocols 2024;13:e51298 View
- Kraft R, Reichert M, Pryss R. Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis. Sensors 2024;24(2):472 View
- Langener A, Bringmann L, Kas M, Stulp G. Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks. Administration and Policy in Mental Health and Mental Health Services Research 2024;51(4):455 View
- Walsh A, Naughton G, Sharpe T, Zajkowska Z, Malys M, van Heerden A, Mondelli V. A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour 2024;8(3):480 View
- Langener A, Stulp G, Jacobson N, Costanzo A, Jagesar R, Kas M, Bringmann L. It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data. Advances in Methods and Practices in Psychological Science 2024;7(1) View
- Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
- Kaur I, Kamini , Kaur J, Gagandeep , Singh S, Gupta U. Enhancing explainability in predicting mental health disorders using human–machine interaction. Multimedia Tools and Applications 2024 View
- Tlachac M, Heinz M, Reisch M, Ogden S. Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(1):1 View
- Khalid M, Klerman E, McHill A, Phillips A, Sano A. SleepNet. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(1):1 View
- Kumar M, Aijaz A, Chattar O, Shukla J, Mutharaju R. Opacity, Transparency, and the Ethics of Affective Computing. IEEE Transactions on Affective Computing 2024;15(1):4 View
- Lu S, Stone J, Klerman E, McHill A, Barger L, Robbins R, Fischer D, Sano A, Czeisler C, Rajaratnam S, Phillips A. The organization of sleep–wake patterns around daily schedules in college students. SLEEP 2024;47(9) View
- Li A, Xue C, Wu R, Wu W, Zhao J, Qiang Y. Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment. International Journal of Human–Computer Interaction 2024:1 View
- Bloomfield L, Fudolig M, Kim J, Llorin J, Lovato J, McGinnis E, McGinnis R, Price M, Ricketts T, Dodds P, Stanton K, Danforth C, Simões de Almeida R. Predicting stress in first-year college students using sleep data from wearable devices. PLOS Digital Health 2024;3(4):e0000473 View
- Vidal Bustamante C, Coombs III G, Rahimi-Eichi H, Mair P, Onnela J, Baker J, Buckner R. Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study. JMIR Formative Research 2024;8:e53441 View
- Timm I, Giurgiu M, Ebner-Priemer U, Reichert M. The Within-Subject Association of Physical Behavior and Affective Well-Being in Everyday Life: A Systematic Literature Review. Sports Medicine 2024;54(6):1667 View
- Bolpagni M, Pardini S, Dianti M, Gabrielli S. Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review. Sensors 2024;24(10):3221 View
- Song S, Seo Y, Hwang S, Kim H, Kim J. Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study. JMIR mHealth and uHealth 2024;12:e55842 View
- Lee J, Kim M, Hwang S, Lee K, Park J, Shin T, Lim H, Urtnasan E, Chung M, Lee J. Developing prediction algorithms for late-life depression using wearable devices: a cohort study protocol. BMJ Open 2024;14(6):e073290 View
- de Looff P, Noordzij M, Nijman H, Goedhard L, Bogaerts S, Didden R. Putting the usability of wearable technology in forensic psychiatry to the test: a randomized crossover trial. Frontiers in Psychiatry 2024;15 View
- Robinson-Dooley V, Sterling E, Collard C, Williams J, Collette T. Introducing Healthy Together: A Monograph of African American Men, Chronic Disease, and Self-Management. Social Work in Public Health 2024;39(7):750 View
- Liu S, Zhang Y, Zhao L, Liu Z. Academic stress detection based on multisource data: a systematic review from 2012 to 2024. Interactive Learning Environments 2024:1 View
- Abdul Kader L, Al-Shargie F, Tariq U, Al-Nashash H. One-Channel Wearable Mental Stress State Monitoring System. Sensors 2024;24(16):5373 View
- dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
- Kallio J, Kinnula A, Mäkelä S, Järvinen S, Räsänen P, Hosio S, Bordallo López M. Lessons from Three Longitudinal Sensor-based Human Behavior Assessment Trials and an Approach to Support Stakeholder Management: Qualitative Study (Preprint). Journal of Medical Internet Research 2023 View
- Müller S, Peters H, Matz S, Wang W, Harari G. Investigating the Relationships between Mobility Behaviours and Indicators of Subjective Well–Being Using Smartphone–Based Experience Sampling and GPS Tracking. European Journal of Personality 2020;34(5):714 View
Books/Policy Documents
- Santhanagopalan M, Chetty M, Foale C, Aryal S, Klein B. Neural Information Processing. View
- Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
- Savazzi P, Vasile F, Brondino N, Vercesi M, Politi P. Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. View
- Beutel M, Kraft-Bauersachs C, Kreß S, Leinberger B, Loew T, Olbrich D, Schonnebeck M, Zwerenz R. Praxishandbuch Psychosomatische Medizin in der Rehabilitation. View
- Debnath S, Basu S. Proceedings of the International Conference on Computing and Communication Systems. View
- Marchionatti L, Mastella N, Bouvier V, Passos I. Digital Mental Health. View
- Garatva P, Terhorst Y, Messner E, Karlen W, Pryss R, Baumeister H. Digital Phenotyping and Mobile Sensing. View
- Zwerenz R, Ebert D, Baumeister H. Digitale Gesundheitsinterventionen. View
- Saylam B, Durmaz İncel Ö. Smart Technologies for Sustainable and Resilient Ecosystems. View
- Fadzil I, Ghazali A, Jasni F, Hafizalshah M. Proceedings of the 2nd Human Engineering Symposium. View
- Gil Deza E. Improving Clinical Communication. View