Showing 1–13 of 13 results
/ Date/ Name
Aug 22, 2023Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelApr 17, 2021Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorderSep 27, 2020The Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational StudyJun 11, 2024A methodological framework and exemplar protocol for the collection and analysis of repeated speech samplesDec 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 settingsJun 2, 2022Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training MethodologyMay 21, 2023Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speechNov 10, 2025Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom SeverityApr 17, 2024Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health studyDec 20, 2022Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective AnalysisApr 29, 2020Using smartphones and wearable devices to monitor behavioural changes during COVID-19Apr 26, 2021Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study