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


Einarsson G., Clemmensen L. K. H. , Ruda D., Fink-Jensen A., Nielsen J. B. , Pagsberg A. K. , ...Daha Fazla

1st International Workshop on PRedictive Intelligence in MEdicine (PRIME), Granada, Nikaragua, 16 Eylül 2018, cilt.11121, ss.1-8 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 11121
  • Doi Numarası: 10.1007/978-3-030-00320-3_1
  • Basıldığı Şehir: Granada
  • Basıldığı Ülke: Nikaragua
  • Sayfa Sayıları: ss.1-8

Özet

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.