Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.
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ABSTRACT:
SUBMITTER: Ramdhani RA
PROVIDER: S-EPMC6141919 | biostudies-other | 2018
REPOSITORIES: biostudies-other
Publications
Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.
Ramdhani Ritesh A RA Khojandi Anahita A Shylo Oleg O Kopell Brian H BH
Frontiers in computational neuroscience 20180911
The emergence of motion sensors as a tool that provides objective motor performance data on individuals afflicted with Parkinson's disease offers an opportunity to expand the horizon of clinical care for this neurodegenerative condition. Subjective clinical scales and patient based motor diaries have limited clinometric properties and produce a glimpse rather than continuous real time perspective into motor disability. Furthermore, the expansion of machine learn algorithms is yielding novel clas ...[more]
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