Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease
verfasst von : Gudmundur Einarsson, Line K. H. Clemmensen, Ditte Rudå, Anders Fink-Jensen, Jannik B. Nielsen, Anne Katrine Pagsberg, Kristian Winge, Rasmus R. Paulsen
Erschienen in: PRedictive Intelligence in MEdicine
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.