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Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder 10.1038/s41746-022-00680-z
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Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback Systems 10.3390/app12115558
Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing 10.3390/s22072813
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis 10.2196/40667
Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder 10.1016/j.jad.2022.05.005
Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review 10.3390/s22103893
Intra- and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients 10.3390/s22093318
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder 10.1016/j.patcog.2021.108403
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study 10.2196/34898
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The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones 10.2196/28095
Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review 10.2196/28735
2021
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic 10.3389/fneur.2021.690404
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Designing an Indoor Air Quality Monitoring App for Asthma Management in Children: User-Centered Design Approach 10.2196/27447
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): Recruitment, retention, and data availability in a longitudinal remote measurement study 10.21203/rs.3.rs-612374/v1
Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review 10.1093/jamiaopen/ooaa067
Ambulatory assessment for precision psychiatry: Foundations, current developments and future avenues 10.1016/j.expneurol.2021.113807
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Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study 10.2196/29840
Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study Authors of this article 10.2196/23806
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Remote Digital Monitoring for Medical Product Development 10.1111/cts.12851
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Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study 10.2196/24604
Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group 10.1111/epi.17044
Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint 10.1159/000514730
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder 10.21437/Interspeech.2021-1240
Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology 10.1186/s12888-021-03434-5
Digital semiology and time-evolution pattern of bio-signals in focal onset motor seizures 10.1016/j.seizure.2021.03.013
Home stay reflects symptoms severity in major depressive disorder: A multicenter observational study using geolocation data from smartphones 10.1101/2021.02.10.21251512
Remote digital monitoring for medical product development 10.1111/cts.12851
Patients self-mastery of wearable devices for seizure detection: A direct user-experience 10.1016/j.seizure.2020.08.023
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Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study 10.2196/17414
Making Wearable Technology Available for Mental Healthcare through an Online Platform with Stress Detection Algorithms: The Carewear Project 10.1155/2020/8846077
The Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational Study https://arxiv.org/abs/2009.12983
Day and night comfort and stability on the body of four wearable devices for seizure detection: A direct user-experience 10.1016/j.yebeh.2020.107478
2019
Using multimodal biosignal data from wearables to detect focal motor seizures in individual epilepsy patients 10.1145/3361684.3361687
Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities 10.1016/B978-0-12-815369-7
RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices 10.2196/11734
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