Application EMGs spectral analysis method for the objective diagnosis of different clinical forms of Parkinson's disease.
The authors work out a computer analysis method to investigate electrical activity of muscles (EMG). With four muscles (extensor carpi radialis longus and tibialis anterior of both right and left sides) integrated EMGs are introduced into the computer. EMG are detected and filtered the pass band from 0 to 15 Hz range, thus forming the envelope of EMG signals (EEMG). Spectral Analyses of 20 one-minute realizations of EEMG signals are conducted for each muscle. Diagnostic signs were obtained on the basis of a statistical treatment of the spectral parameters. Subsequent analysis of data obtained for 130 patients allowed to single out thereof the most informative signs. This signs were applied for studying 40 patients diagnosed with Parkinson's disease of different etiologies, clinical forms and stages. In a researched group, in 33 out 40 cases, clinical diagnosis coincided with computer one. In six cases, doctors corrected the diagnosis of the illness with diagnostic indicators. In one case, computer and clinical diagnosis did not coincide.
Andreeva YeA
Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia.
Khutorskaya OYe
D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D003937:Diagnosis, Differential; D004576:Electromyography / Q000295:instrumentation*; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D009046:Motor Neurons / Q000502:physiology; D018482:Muscle, Skeletal / Q000294:innervation; D009460:Neurologic Examination; D010300:Parkinson Disease / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D010525:Peripheral Nerves / Q000503:physiopathology; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted