@inbook{3a1ca77d78214050916244f39f12f579,
title = "Computer Aided Identification of Motion Disturbances Related to Parkinson{\textquoteright}s Disease",
abstract = "We present a framework for assessing which types of simple movement tasks are most discriminative between healthy controls and Parkinson{\textquoteright}s patients. We collected movement data in a game-like environment, where we used the Microsoft Kinect sensor for tracking the user{\textquoteright}s joints. We recruited 63 individuals for the study, of whom 30 had been diagnosed with Parkinson{\textquoteright}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.",
author = "Gudmundur Einarsson and Clemmensen, {Line K H} and Ditte Rud{\aa} and Anders Fink-Jensen and Nielsen, {Janni B} and Pagsberg, {Anne Katrine} and Kristian Winge and Paulsen, {Rasmus R}",
year = "2018",
doi = "10.1007/978-3-030-00320-3_1",
language = "English",
isbn = "978-3-030-00319-7",
volume = "11121",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature Switzerland AG",
pages = "1--8",
editor = "Islem Rekik and Gozde Unal and Ehsan Adeli and Park, {Sang Hyun}",
booktitle = "PRedictive Intelligence in MEdicine. PRIME 2018.",
}