Quantifying drug induced dyskinesia in Parkinson's disease patients using standardized videos.

Anusha S Rao, Robert E Bodenheimer, Thomas L Davis, Rui Li, Cissy Voight, Benoit M Dawant

Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2008

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This paper presents a video based method to quantify drug induced dyskinesias in Parkinson's disease (PD) patients. Dyskinetic movement in standard clinical videos of patients is analyzed by tracking landmark points on the video frames using non-rigid image registration. The novel application of Point Distribution Models (PDM) allows geometric variations and covariations of the landmark points to be captured from each video sequence. The PDM parameters represent quantifiable information that can be used to rate dyskinesia effectively, analogously to a neurologist's strategy of assessing the movement of multiple body parts simultaneously to effectively rate dyskinesia. A heuristic decision function is then developed using the PDM parameters to quantify the severity of the dyskinesia. The severity score using our decision function showed a high correlation to the dyskinesia rating of a neurologist on the corresponding patient videos.

Citation

Anusha S Rao, Robert E Bodenheimer, Thomas L Davis, Rui Li, Cissy Voight, Benoit M Dawant. Quantifying drug induced dyskinesia in Parkinson's disease patients using standardized videos. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2008;2008:1769-72