The problem of pattern recognition for the Parkinson's disease diagnosis based on electroencephalography data
F. N. Grigoryev, N. A. Kuznetsov
Kotelínikov Institute of Radio-engineering and Electronics
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, Parkinsonís disease, estimate, normalized
correlation sequence, linear decision rule, decomposable hyperplane.