High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks.
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ABSTRACT:
SUBMITTER: Pfister FMJ
PROVIDER: S-EPMC7125162 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Publications
High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks.
Pfister Franz M J FMJ Um Terry Taewoong TT Pichler Daniel C DC Goschenhofer Jann J Abedinpour Kian K Lang Muriel M Endo Satoshi S Ceballos-Baumann Andres O AO Hirche Sandra S Bischl Bernd B Kulić Dana D Fietzek Urban M UM
Scientific reports 20200403 1
Patients with advanced Parkinson's disease regularly experience unstable motor states. Objective and reliable monitoring of these fluctuations is an unmet need. We used deep learning to classify motion data from a single wrist-worn IMU sensor recording in unscripted environments. For validation purposes, patients were accompanied by a movement disorder expert, and their motor state was passively evaluated every minute. We acquired a dataset of 8,661 minutes of IMU data from 30 patients, with ann ...[more]
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