The problem of pattern recognition for the Parkinson's disease diagnosis based on electroencephalography data
F. N. Grigoryev, N. A. Kuznetsov
Kotel’nikov Institute of Radio-engineering and Electronics
of RAS
Received
January 26, 2012
Abstarct. The vector of estimates of
normalized correlation sequence for signal O2-A2 EEG
patient was defined for the diagnosis of Parkinson's disease. The linear decision
rule - a hyperplane separating
the sets of vectors corresponding to the
patients and healthy
individuals was created. The simulation of disease
diagnosis in the real data was made.
Keywords: diagnosis, Parkinson’s disease, estimate, normalized
correlation sequence, linear decision rule, decomposable hyperplane.