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JMIR Mhealth and Uhealth
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July 30, 2021
Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
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.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
December 12, 2023
A wearable device perspective on the standard definitions of disability progression in multiple sclerosis
Gloria Dalla Costa, Carlos Nos, Ana Zabalza, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 17, 2025
Consensus-Based Definitions for Vocal Biomarkers: The International VOCAL Initiative
Megane Pizzimenti, Ayush Kalia, Jamie A Toghranegar, 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.
BMC Psychiatry
|
September 7, 2021
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
Daniel Leightley, Grace Lavelle, Katie M White, et al.
Journal of Medical Internet Research
|
September 3, 2020
Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19
Shaoxiong Sun, Amos A Folarin, Yatharth Ranjan, et al.
Frontiers in Physiology
|
April 24, 2023
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis
Spyridon Kontaxis, Estela Laporta, Esther Garcia, 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.
Journal of Affective Disorders
|
August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysis
Nicholas Cummins, Judith Dineley, Pauline Conde, et al.
Page
of 6
Search research articles
Search
Showing results (41-50 of 60) with videos related to
Sort By:
Page
of 6
JMIR Mhealth and Uhealth
|
July 30, 2021
Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
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.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
December 12, 2023
A wearable device perspective on the standard definitions of disability progression in multiple sclerosis
Gloria Dalla Costa, Carlos Nos, Ana Zabalza, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 17, 2025
Consensus-Based Definitions for Vocal Biomarkers: The International VOCAL Initiative
Megane Pizzimenti, Ayush Kalia, Jamie A Toghranegar, 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.
BMC Psychiatry
|
September 7, 2021
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
Daniel Leightley, Grace Lavelle, Katie M White, et al.
Journal of Medical Internet Research
|
September 3, 2020
Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19
Shaoxiong Sun, Amos A Folarin, Yatharth Ranjan, et al.
Frontiers in Physiology
|
April 24, 2023
Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis
Spyridon Kontaxis, Estela Laporta, Esther Garcia, 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.
Journal of Affective Disorders
|
August 20, 2023
Multilingual markers of depression in remotely collected speech samples: A preliminary analysis
Nicholas Cummins, Judith Dineley, Pauline Conde, et al.
Page
of 6