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Conference papers
Detection of Levodopa Induced Dyskinesia in Parkinson's Disease Patients Based on Activity Classification
Abstract : In this paper, we present an activity classification-based algorithm for the automatic detection of Levodopa Induced Dyskinesia in Parkinson's Disease (PD) patients. Two PD patients experiencing motor fluctuations related to chronic Levodopa therapy performed a protocol of simple daily life activities on at least two different occasions. A Random Forest classifier was able to classify the performed activities by the patients with an overall accuracy of 86%. Based on the detected activity, a K Nearest Neighbor classifier detected the presence of dyskinesia with accuracy ranging from 75% to 88%
Keywords :
Sensors
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01304749
Contributor : Laurent Jonchère Connect in order to contact the contributor
Submitted on : Wednesday, April 20, 2016 - 11:53:41 AM
Last modification on : Tuesday, October 19, 2021 - 11:29:39 AM
Contributor : Laurent Jonchère Connect in order to contact the contributor
Submitted on : Wednesday, April 20, 2016 - 11:53:41 AM
Last modification on : Tuesday, October 19, 2021 - 11:29:39 AM