Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease

Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease

Summary: Large-scale population screening and in-home monitoring for patients with Parkinson's disease (PD) has so far been mainly carried out by traditional healthcare methods and systems. Development of mobile health may provide an independent, future method to detect PD. Current PD detection...

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Bibliographic Details
Main Authors: Hanrui Zhang, Kaiwen Deng, Hongyang Li, Roger L. Albin, Yuanfang Guan
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Patterns
Subjects:
deep learning
convolutional neural network
digital biomarker
signal processing
Parkinson's disease
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389920300477

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http://www.sciencedirect.com/science/article/pii/S2666389920300477

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