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Nikolay V Manyakov

Showing results (41-50 of 48) with videos related to

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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 SmartphonesPetroula Laiou, Dzmitry A Kaliukhovich, Amos A Folarin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait VariabilityChloe Hinchliffe, Rana Zia Ur Rehman, Diogo Branco, et al.
Alzheimer'S Research & Therapy|April 24, 2021
Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD studyMarijn Muurling, Casper de Boer, Rouba Kozak, et al.
NPJ Digital Medicine|January 24, 2025
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologiesJessie P Bakker, Roland Barge, Jacob Centra, et al.
Frontiers in Digital Health|July 2, 2026
Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseasesBing Zhai, Luan Chen, Xujun Ma, et al.
Journal of Neuroengineering and Rehabilitation|June 5, 2024
Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility studyChloe Hinchliffe, Rana Zia Ur Rehman, Clemence Pinaud, et al.
BMC Psychiatry|February 22, 2022
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement studyFaith Matcham, Daniel Leightley, Sara Siddi, et al.
Digital Health|April 6, 2026
IDEA-FAST clinical study protocol: Identifying digital end-points of fatigue, sleep quality and daytime sleepiness in N = 2000Walter Maetzler, Stefan Avey, Andrea Pilotto, et al.
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Showing results (41-50 of 48) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 48 results.
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 SmartphonesPetroula Laiou, Dzmitry A Kaliukhovich, Amos A Folarin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait VariabilityChloe Hinchliffe, Rana Zia Ur Rehman, Diogo Branco, et al.
Alzheimer'S Research & Therapy|April 24, 2021
Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD studyMarijn Muurling, Casper de Boer, Rouba Kozak, et al.
NPJ Digital Medicine|January 24, 2025
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologiesJessie P Bakker, Roland Barge, Jacob Centra, et al.
Frontiers in Digital Health|July 2, 2026
Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseasesBing Zhai, Luan Chen, Xujun Ma, et al.
Journal of Neuroengineering and Rehabilitation|June 5, 2024
Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility studyChloe Hinchliffe, Rana Zia Ur Rehman, Clemence Pinaud, et al.
BMC Psychiatry|February 22, 2022
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement studyFaith Matcham, Daniel Leightley, Sara Siddi, et al.
Digital Health|April 6, 2026
IDEA-FAST clinical study protocol: Identifying digital end-points of fatigue, sleep quality and daytime sleepiness in N = 2000Walter Maetzler, Stefan Avey, Andrea Pilotto, et al.
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