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Using smartphones and wearable devices to monitor behavioural changes during COVID-19., , , , , , , , , and 13 other author(s). CoRR, (2020)Digital health tools for the passive monitoring of depression: a systematic review of methods., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2022)Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech., , , , , , and . CoRR, (2023)Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder., , , , , , , , , and 15 other author(s). Interspeech, page 631-635. ISCA, (2021)Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study., , , , , , , , , and 19 other author(s). npj Digit. Medicine, (2023)A systematic review of engagement reporting in remote measurement studies for health symptom tracking., , , , , , , and . npj Digit. Medicine, (2022)Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study., , , , , , , , , and 14 other author(s). CoRR, (2021)Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder., , , , , , , , , and 9 other author(s). CoRR, (2021)Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model., , , , , , , , , and 18 other author(s). CoRR, (2023)Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder., , , , , , , , , and 8 other author(s). npj Digit. Medicine, (2022)