"au:"Heet Sankesara"" — arXiv2 SearchShowing 1–9 of 9 results
/ Date/ Name
Dec 20, 2022Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective AnalysisAug 22, 2023Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelDec 22, 2021The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditionsMay 5, 2025An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable DevicesDec 5, 2023Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable SensingJan 29, 2022Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settingsAug 3, 2023Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone DataSep 24, 2024Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participantsFeb 18, 2026Physical Activity Trajectories Preceding Incident Major Depressive Disorder Diagnosis Using Consumer Wearable Devices in the All of Us Research Program: Case-Control Study