Yatharth Ranjan
0000-0003-3079-3120
Kings College London
38 papers found
Refreshing results…
Home monitoring to detect progression of interstitial lung disease: A prospective cohort study
Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis (Preprint)
Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study
Passive remote monitoring using phone and wearable sensors to identify digital markers of ADHD (Preprint)
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study (Preprint)
RADAR-base Platform: Digital phenotyping of mental and physical conditions through remotely collected wearables and smartphone data (Preprint)
Disease insight through digital biomarkers: Digital phenotyping of mental and physical conditions through remotely collected wearables and smartphone data (Preprint)
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis (Preprint)
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions
Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial (Preprint)
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
Presentation of long COVID and associated risk factors in a mobile health study
RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond
Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings: retrospective analyses (Preprint)
The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
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