123 citations
- King's College LondonGB5 papers
- Parc Sanitari Sant Joan de DéuES5 papers
- South London and Maudsley NHS Foundation TrustGB5 papers
- University College LondonGB5 papers
- Centro de Investigación Biomédica en Red de Salud MentalES4 papers
- KU LeuvenBE4 papers
- LAB University of Applied SciencesFI4 papers
- Universitat de BarcelonaES4 papers
- Health Data Research UKGB3 papers
- Lundbeck (Denmark)DK3 papers
- National Health ServiceGB3 papers
- Northwestern UniversityUS3 papers
Showing q-bio.QMShow all
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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…