TY - GEN
T1 - Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease
AU - Einarsson, Gudmundur
AU - Clemmensen, Line Katrine Harder
AU - Rudå, Ditte
AU - Fink-Jensen, Anders
AU - Nielsen, Jannik
AU - Pagsberg, Anne
AU - Winge, Kristian
AU - Paulsen, Rasmus Reinhold
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Game-aided diagnosis
KW - Kinect
KW - Parkinson’s disease
KW - Sparse
KW - Ordinal
KW - Classification
U2 - 10.1007/978-3-030-00320-3_1
DO - 10.1007/978-3-030-00320-3_1
M3 - Article in proceedings
SN - 978-3-030-00319-7
T3 - Lecture Notes in Computer Science
SP - 1
EP - 8
BT - International Workshop on PRedictive Intelligence In MEdicine
PB - Springer
T2 - International Workshop on PRedictive Intelligence In MEdicine
Y2 - 16 September 2018 through 16 September 2018
ER -