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JMIR Research Protocols
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October 3, 2025
A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study
Isabel Yorke, Charlotte A Boatman, Akash Roy Choudhury, 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 Analysis
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
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 conditions
Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang, 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 model
Yuezhou 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 Analysis
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
JMIR Mental Health
|
March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, 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 Analysis
Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang, et al.
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of 2
Search research articles
Search
Showing results (11-20 of 17) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 17 results.
JMIR Research Protocols
|
October 3, 2025
A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study
Isabel Yorke, Charlotte A Boatman, Akash Roy Choudhury, 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 Analysis
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
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 conditions
Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang, 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 model
Yuezhou 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 Analysis
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
JMIR Mental Health
|
March 11, 2022
Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, 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 Analysis
Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang, et al.
Page
of 2