Shaoxiong Sun

发表

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.

On algorithms for calculating arterial pulse pressure variation during major surgery

Ronald M. Aarts, X. Long, W. Peeters, 2017, Physiological measurement.

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

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

Measuring the effect of Non-Pharmaceutical Interventions (NPIs) on mobility during the COVID-19 pandemic using global mobility data pdf

Richard JB Dobson, Berber T Snoeijer, Mariska Burger, 2020, npj Digital Medicine.

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Florian B. Pokorny, M. Hotopf, R. Dobson, 2021, Pattern Recognition.

Challenges in the analysis of mobile health data from smartphones and wearable devices to predict depression symptom severity

M. Hotopf, B. Penninx, V. Narayan, 2022, 2212.10540.

Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology

D. Mohr, R. Dobson, B. Penninx, 2021, BMC Psychiatry.

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.

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 .

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.

The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement

M. Hotopf, F. Matcham, A. Folarin, 2022, JMIR mental health.

Finger and forehead photoplethysmography-derived pulse-pressure variation and the benefits of baseline correction

Ronald M. Aarts, X. Long, W. Peeters, 2018, Journal of Clinical Monitoring and Computing.

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.

Predicting Depressive Symptom Severity through Individuals’ Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal study (Preprint)

M. Hotopf, D. Mohr, R. Dobson, 2021 .

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..

Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study

M. Groom, C. Hollis, P. Asherson, 2023, Journal of attention disorders.

The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones

M. Hotopf, B. Penninx, V. Narayan, 2022, JMIR mHealth and uHealth.

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.

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 .

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.

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

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

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.

Using smartphones and wearable devices to monitor behavioural changes during COVID-19

L. Leocani, I. Myin-Germeys, F. Matcham, 2020, ArXiv.

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.