The way of computer diagnostics of Parkinson's disease
Yu. N. Klikushin, V. Yu. Kobenko,
Omsk State Technical University
Received October 11, 2012
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.
algorithm, Parkinson's disease, diagnosis, identification signal parameters,
the degree of regularity-randomness, the characteristic frequency.