The way of computer diagnostics of Parkinson's disease
Yu. N. Klikushin, V. Yu. Kobenko,
A. A.
Goshenkov
Omsk State Technical University
Received October 11, 2012
Abstarct.
A method for diagnosis of Parkinson's disease, based on the measurement of the
degree of regularity-randomness of the correlation function of the patient's
EEG signal is described. Separation of patients into groups of patients and
healthy is by sorting and filtering records in a database of measurement
results. The proposed method allows to classify patients according to the
degree of development of the disease.
Keywords:
algorithm, Parkinson's disease, diagnosis, identification signal parameters,
the degree of regularity-randomness, the characteristic frequency.