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Using smartphones and wearable devices to monitor behavioural changes during COVID-19., , , , , , , , , and 13 other author(s). CoRR, (2020)Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression., , , , , , , , , and 3 other author(s). IEEE Trans. Biomed. Eng., 68 (4): 1273-1281 (2021)Blunted Autonomic Reactivity to Mental Stress in Depression Quantified by Nonlinear Cardiorespiratory Coupling Indices., , , , , , , , , and 1 other author(s). CinC, page 1-4. IEEE, (2020)Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder., , , , , , , , , and 8 other author(s). npj Digit. Medicine, (2022)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)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 15 other author(s). Interspeech, page 631-635. ISCA, (2021)Analysis of Prosodic Features During Cognitive Load in Patients with Depression., , , , , , , , , and . IWSDS, volume 704 of Lecture Notes in Electrical Engineering, page 193-199. Springer, (2020)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)