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.