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Computer Methods and Programs in Biomedicine|November 13, 2022
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditionsShaoxiong Sun, Amos A Folarin, Yuezhou Zhang, et al.Journal of Medical Internet Research|June 28, 2024
Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.Journal of Affective Disorders|March 29, 2024
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic modelYuezhou Zhang, Amos A Folarin, Judith Dineley, et al.JMIR Mhealth and Uhealth|October 4, 2022
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective AnalysisYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.Pattern Recognition|November 1, 2021
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoderShuo Liu, Jing Han, Estela Laporta Puyal, et al.JMIR Mental Health|March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling StudyYuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.NPJ Digital Medicine|February 22, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression studyYuezhou Zhang, Abhishek Pratap, Amos A Folarin, et al.Journal of Medical Internet Research|August 14, 2023
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective AnalysisShaoxiong Sun, Amos A Folarin, Yuezhou Zhang, et al.Pageof 3