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

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

1 Citationer (Scopus)

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.
OriginalsprogEngelsk
TitelPRedictive Intelligence in MEdicine. PRIME 2018. : Lecture Notes in Computer Science
RedaktørerIslem Rekik, Gozde Unal, Ehsan Adeli, Sang Hyun Park
Antal sider8
Vol/bind11121
UdgivelsesstedSwitzerland
ForlagSpringer Nature Switzerland AG
Publikationsdato2018
Sider1-8
ISBN (Trykt)978-3-030-00319-7
ISBN (Elektronisk)978-3-030-00320-3
DOI
StatusUdgivet - 2018
NavnLecture Notes in Computer Science
ISSN0302-9743

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