Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors

Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors

Abstract Background Parkinson’s disease (PD) is a progressive neurological disease, with characteristic motor symptoms such as tremor and bradykinesia. There is a growing interest to continuously monitor these and other symptoms through body-worn sensor technology. However, limited battery life and...

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Bibliographic Details
Main Authors: Nicholas Shawen, Megan K. O’Brien, Sanjeev Venkatesan, Luca Lonini, Tanya Simuni, Jamie L. Hamilton, Roozbeh Ghaffari, John A. Rogers, Arun Jayaraman
Format: Article
Language:English
Published: BMC 2020-04-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Parkinson’s disease
Wearable sensors
Soft wearables
Machine learning
Symptom detection
Tremor
Online Access:http://link.springer.com/article/10.1186/s12984-020-00684-4

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http://link.springer.com/article/10.1186/s12984-020-00684-4

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