Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants 10.1016/j.jad.2025.01.124
Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study 10.2196/54531
Investigating two mobile just-in-time adaptive interventions to foster psychological resilience: research protocol of the DynaM-INT study 10.1186/s40359-023-01249-5
2024
Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform 10.2196/51259
Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study 10.1016/S2589-7500(24)00140-7
Identifying Digital Markers of ADHD in a Remote Monitoring Setting: Prospective Observational Study 10.2196/54531
Remote Monitoring of Epilepsy Patients with Wearable Device and Smartphone 10.1145/3675094.3677592
The relationship between wearable-derived sleep features and relapse in Major Depressive Disorder 10.1016/j.jad.2024.07.136
Home Monitoring to Detect Progression of Interstitial Lung Disease 10.1111/resp.14708
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model 10.1016/j.jad.2024.03.106
Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol 10.1186/s12888-024-05841-w
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis 10.2196/55302
RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research 10.3390/s24144614
2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study 10.1038/s41746-023-00749-3
Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis 10.2196/39479
The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement 10.2196/42866
The impact of COVID-19 lockdown on a cohort of adults with recurrent major depressive disorder from Catalonia: a decentralized longitudinal study using remote measurement technology 10.1101/2023.01.24.23284906
2022
Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals 10.1186/s12911-022-01856-z
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder 10.1038/s41746-022-00680-z
Challenges in the analysis of mobile health data from smartphones and wearable devices to predict depression symptom severity 2212.10540
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions 10.1016/j.cmpb.2022.107204
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis 10.3390/jcm11237163
ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA): a multi-centre prospective cohort study protocol 10.1186/s12888-022-04429-6
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
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
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study 10.1186/s12888-022-03753-1
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
2021
Issue in Remote Assessment of Lung Disease and Impact on Physical and Mental Health (RALPMH): Protocol for Prospective Observational Study 10.2196/28873
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
Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study 10.1186/s13195-021-00825-4
Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study 10.2196/29840
Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study 10.2196/24604
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
Home stay reflects symptoms severity in major depressive disorder: A multicenter observational study using geolocation data from smartphones 10.1101/2021.02.10.21251512
2020
Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study 10.1007/s10072-020-04519-x
Patients self-mastery of wearable devices for seizure detection: A direct user-experience 10.1016/j.seizure.2020.08.023
Using smartphones and wearable devices to monitor behavioural changes during COVID 19 10.2196/19992
Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study 10.2196/17414
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
Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol 10.1186/s12888-019-2049-z
2018
RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices 10.2196/11734
