Automated Levodopa-induced dyskinesia assessment

An automated methodology for Levodopa-induced dyskinesia (LID) assessment is presented in this paper. The methodology is based on the analysis of the signals recorded from accelerometers and gyroscopes, which are placed on certain positions on the subject's body. The obtained signals are analyzed and several features are extracted. Based on these features a classification technique is used for LID detection and classification of its severity. The method has been evaluated using a group of 10 subjects. Results are presented related to each individual sensor as well as for various sensor combinations. The obtained results indicate high classification ability (93.73% classification accuracy).

[1]  M. Jog,et al.  Movement patterns of peak-dose levodopa-induced dyskinesias in patients with Parkinson's disease , 2007, Brain Research Bulletin.

[2]  J. J. van Hilten,et al.  Accelerometric assessment of levodopa‐induced dyskinesias in Parkinson's disease , 2001, Movement disorders : official journal of the Movement Disorder Society.

[3]  Christian Duval,et al.  Bradykinesia in patients with Parkinson's disease having levodopa-induced dyskinesias , 2006, Brain Research Bulletin.

[4]  J. Jankovic.  Parkinson’s disease: clinical features and diagnosis , 2008, Journal of Neurology, Neurosurgery, and Psychiatry.

[5]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[6]  S. Gielen,et al.  Online monitoring of dyskinesia in patients with Parkinson's disease , 2003, IEEE Engineering in Medicine and Biology Magazine.

[7]  Pericles A. Mitkas,et al.  Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation , 2007, Int. J. Approx. Reason..

[8]  S. Gielen,et al.  Automatic assessment of levodopa‐induced dyskinesias in daily life by neural networks , 2003, Movement disorders : official journal of the Movement Disorder Society.

[9]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[10]  Shouyan Wang,et al.  Quantifying drug-induced dyskinesias in the arms using digitised spiral-drawing tasks , 2005, Journal of Neuroscience Methods.

[11]  C. Gielen,et al.  Detection and assessment of the severity of Levodopa‐induced dyskinesia in patients with Parkinson's disease by neural networks , 2000, Movement disorders : official journal of the Movement Disorder Society.

[12]  R. Roos,et al.  A review of the assessment of dyskinesias , 1999, Movement disorders : official journal of the Movement Disorder Society.

[13]  P Sainsbury,et al.  Ultrasound system for measuring patients' activity and disorders of movement. , 1972, Lancet.

[14]  S. Fahn.  Unified Parkinson's Disease Rating Scale , 1987 .

[15]  V. Preedy,et al.  Unified Parkinson's Disease Rating Scale , 2010 .

[16]  M. Jog,et al.  Levodopa-induced dyskinesias detection based on the complexity of involuntary movements , 2010, Journal of Neuroscience Methods.

[17]  W. Marsden.  I and J , 2012 .

[18]  J W Langston,et al.  Quantification of dyskinesia in Parkinson's disease: Validation of a novel instrumental method , 1999, Movement disorders : official journal of the Movement Disorder Society.