Sidorenko A.V., Selitskiy A.P., Kazakevich V.B., Leonchik Yu.L

The most effective method to estimate a functional state of neuromuscular system is recording of its bioelectric activity. The potentials recorded by the electrodes properly applied to a certain muscle provide the relevant information. Stimulating electromyograms are formed on the base muscle evoked potentials received by electrical stimulation of peripheral nerve. The present report is devoted to problems of processing and wavelet transformation analysis of stimulating electromyograms to receive numerouos parameters, reflecting the normal activity of peripheral nervous system influenced by different stimulated regimes and caffeine. The methodology of wavelet transformation realization to analysis electromyograms recorded using developed information measuring system were studied experimentally. Structure and functions of information measuring system were adapted to bioelectric muscle activities. The Haar-, Wave- and Mhat-wavelets were considered as the basic ones. The analyzing method of stimulating electromyograms is based on the position to consider oscillation process as structure appearing oscillations. The numerical coefficient - fluctuation index - as information parameter is characterized a degree of the signal chaotic state in defined under wavelet transformation of bioelectric signal. The P. Hwa algorithm was used to calculate the fluctuation index. To make the obtained transformation more comprehensive, processing of electroneurograms by the traditional spectral correlation method was also performed. The efficiency of the method using the wavelet transformation to process and analyze the healthy human abductor pollicis muscle was demonstrated. It was found that the fluctuation index, information parameter, may be used as a criterion for express analysis. It was shown that introduction of caffeine resulted in variations of the fluctuation index characterizing the normal functioning of a peripheral nervous system.