Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier

[1]  M. Hallett,et al.  Cerebral causes and consequences of parkinsonian resting tremor: a tale of two circuits? , 2012, Brain : a journal of neurology.

[2]  A. Graur,et al.  HDTV System for Parkinson's Disease Diagnosis , 2013 .

[3]  C. Tanner,et al.  Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030 , 2007, Neurology.

[4]  Angelo Antonini,et al.  Parkinson's disease tremor-related metabolic network: Characterization, progression, and treatment effects , 2011, NeuroImage.

[5]  Bastiaan R. Bloem,et al.  The clinical approach to movement disorders , 2010, Nature Reviews Neurology.

[6]  Ching Y. Suen,et al.  Thinning Methodologies - A Comprehensive Survey , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Andrew Siderowf,et al.  Parkinson's at risk syndrome: Can Parkinson's disease be predicted? , 2010, Movement disorders : official journal of the Movement Disorder Society.

[8]  Raymond J. Dolan,et al.  Alterations in Brain Connectivity Underlying Beta Oscillations in Parkinsonism , 2011, PLoS Comput. Biol..

[9]  Paul McCrory,et al.  Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance. , 2010, Gait & posture.

[10]  M Shirataka,et al.  Development of a System for Measurement and Analysis of Tremor Using a Three-axis Accelerometer , 2009, Methods of Information in Medicine.

[11]  Oana Geman,et al.  Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics , 2013 .

[12]  Lorene M Nelson,et al.  Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity. , 2003, American journal of epidemiology.