activity
20202023
most citedThe Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational Study

123 citations · 200 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2023

Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing

Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +24

Objective: This study aimed to explore the associations between depression severity and wearable-measured circadian rhythms, accounting for seasonal impacts and quantifying seasona…

cs.CL2023★ 1 cited

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

Yuezhou Zhang, Amos A Folarin, Judith Dineley +25

Language use has been shown to correlate with depression, but large-scale validation is needed. Traditional methods like clinic studies are expensive. So, natural language processi…

q-bio.QM2022★ 45 cited

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

Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28

A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…

q-bio.QM2022★ 21 cited

Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings

Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +27

Gait is an essential manifestation of depression. Laboratory gait characteristics have been found to be closely associated with depression. However, the gait characteristics of dai…

cs.HC2021★ 10 cited

Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder

Judith Dineley, Grace Lavelle, Daniel Leightley +22

The ease of in-the-wild speech recording using smartphones has sparked considerable interest in the combined application of speech, remote measurement technology (RMT) and advanced…

stat.AP2020★ 123 cited

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

Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +19

Research in mental health has implicated sleep pathologies with depression. However, the gold standard for sleep assessment, polysomnography, is not suitable for long-term, continu…