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JMIR Mhealth and Uhealth
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January 28, 2022
The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones
Petroula Laiou, Dzmitry A Kaliukhovich, Amos A Folarin, et al.
JMIR Mhealth and Uhealth
|
April 12, 2021
Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Alzheimer'S Research & Therapy
|
April 24, 2021
Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD study
Marijn Muurling, Casper de Boer, Rouba Kozak, et al.
Sensors (Basel, Switzerland)
|
July 14, 2023
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis
Spyridon Kontaxis, Estela Laporta, Esther Garcia, et al.
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.
Alzheimer'S Research & Therapy
|
January 26, 2025
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer's disease
Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, 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 Aging Neuroscience
|
January 9, 2019
Plasma Protein Biomarkers for the Prediction of CSF Amyloid and Tau and [<sup>18</sup>F]-Flutemetamol PET Scan Result
Sarah Westwood, Alison L Baird, Abdul Hye, et al.
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Search research articles
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Showing results (131-140 of 178) with videos related to
Sort By:
Page
of 18
JMIR Mhealth and Uhealth
|
January 28, 2022
The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones
Petroula Laiou, Dzmitry A Kaliukhovich, Amos A Folarin, et al.
JMIR Mhealth and Uhealth
|
April 12, 2021
Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, et al.
Alzheimer'S Research & Therapy
|
April 24, 2021
Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD study
Marijn Muurling, Casper de Boer, Rouba Kozak, et al.
Sensors (Basel, Switzerland)
|
July 14, 2023
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis
Spyridon Kontaxis, Estela Laporta, Esther Garcia, et al.
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.
Alzheimer'S Research & Therapy
|
January 26, 2025
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer's disease
Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, 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 Aging Neuroscience
|
January 9, 2019
Plasma Protein Biomarkers for the Prediction of CSF Amyloid and Tau and [<sup>18</sup>F]-Flutemetamol PET Scan Result
Sarah Westwood, Alison L Baird, Abdul Hye, et al.
Page
of 18