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2018 | OriginalPaper | Chapter

Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease

Authors : Gudmundur Einarsson, Line K. H. Clemmensen, Ditte Rudå, Anders Fink-Jensen, Jannik B. Nielsen, Anne Katrine Pagsberg, Kristian Winge, Rasmus R. Paulsen

Published in: PRedictive Intelligence in MEdicine

Publisher: Springer International Publishing

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Abstract

We present a framework for assessing which types of simple movement tasks are most discriminative between healthy controls and Parkinson’s patients. We collected movement data in a game-like environment, where we used the Microsoft Kinect sensor for tracking the user’s joints. We recruited 63 individuals for the study, of whom 30 had been diagnosed with Parkinson’s disease. A physician evaluated all participants on movement-related rating scales, e.g., elbow rigidity. The participants also completed the game task, moving their arms through a specific pattern. We present an innovative approach for data acquisition in a game-like environment, and we propose a novel method, sparse ordinal regression, for predicting the severity of motion disorders from the data.

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Metadata
Title
Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease
Authors
Gudmundur Einarsson
Line K. H. Clemmensen
Ditte Rudå
Anders Fink-Jensen
Jannik B. Nielsen
Anne Katrine Pagsberg
Kristian Winge
Rasmus R. Paulsen
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-030-00320-3_1

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