C. Stewart

发表

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

M. Hotopf, D. Mohr, B. Penninx, 2022, JMIR mHealth and uHealth.

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Amos Folarin, Vaibhav A. Narayan, Yatharth Ranjan, 2020, Journal of medical Internet research.

Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform

Marwa Al Arab, K. Bhaskaran, L. Smeeth, 2023, EClinicalMedicine.

Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence

A. Schulze-Bonhage, J. Winston, M. Richardson, 2022, medRxiv.

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

M. Hotopf, D. Mohr, B. Penninx, 2021, European Psychiatry.

The Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational Study

M. Hotopf, R. Dobson, B. Penninx, 2020, 2009.12983.

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

M. Hotopf, Björn Schuller, V. Narayan, 2023, Journal of affective disorders.

Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data

A. Folarin, R. Dobson, Yuezhou Zhang, 2023, ArXiv.

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

M. Hotopf, D. Mohr, B. Penninx, 2023, npj Digital Medicine.

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

M. Hotopf, V. Narayan, J. Haro, 2022, Journal of medical Internet research.

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

M. Hotopf, L. Leocani, R. Bailón, 2021, Comput. Methods Programs Biomed..

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

M. Hotopf, D. Mohr, B. Penninx, 2021, JMIR mental health.

The Longitudinal relationships between depressive symptom severity and phone-measured mobility: an application of dynamic structural equation modeling (Preprint)

M. Hotopf, D. Mohr, B. Penninx, 2021 .

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

M. Hotopf, D. Mohr, R. Dobson, 2021, JMIR mHealth and uHealth.

Identifying depression-related topics in smartphone-collected free-response speech tasks using an automatic speech recognition system and a deep learning topic model

M. Hotopf, Björn Schuller, B. Penninx, 2023 .

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

Richard Dobson, Mark Begale, Amos Folarin, 2019, JMIR mHealth and uHealth.

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

M. Hotopf, R. Dobson, L. Leocani, 2020, Journal of medical Internet research.

RADAR-base: Major Depressive Disorder and Epilepsy Case Studies

Richard J. B. Dobson, Callum L. Stewart, Yatharth Ranjan, 2018, UbiComp/ISWC Adjunct.

Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD longitudinal mobile health study

V. Narayan, F. Matcham, S. Simblett, 2024, 2404.11212.

Personalized acute stress classification from physiological signals with neural processes

Richard Dobson, Callum L. Stewart, Amos Folarin, 2020, 2002.04176.