Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review

Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review

Background: Central nervous system (CNS) disorders benefit from ongoing monitoring to assess disease progression and treatment efficacy. Mobile health (mHealth) technologies offer a means for the remote and continuous symptom monitoring of patients. Machine Learning (ML) techniques can process and e...

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Bibliographic Details
Main Authors: Ahnjili ZhuParris, Annika A. de Goede, Iris E. Yocarini, Wessel Kraaij, Geert Jan Groeneveld, Robert Jan Doll
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
machine learning
biomarker
wearables
smartphones
mHealth
remote monitoring
Online Access:https://www.mdpi.com/1424-8220/23/11/5243

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