MIOSIGNALS PROCESSING BY SPECTRAL ANALYSIS METHODS USING MODIFIED
THE MORLE WAVELET FUNCTIONS 

Grishanovich Yuliya Vasilevna, candidate of technical sciences, associate professor, sub-department of physics, Kovrov State Technological Academy named after V. A. Degtyarev (9 Mayakovskogo street, Kovrov, Russia), E-mail: ulagri.kovrov@mail.ru
Potehin Dmitry Stanislavovich, doctor of technical sciences, professor, sub-department of corporate informational systems, Russian Technological University MIREA (78 Vernadskogo avenue, Moscow, Russia), E-mail: msyst@msyst.ru
Potehin Sergey Dmitrievich, engineer, LLC «Business Association Measuring Systems» (92, Elovaya street, Kovrov, Russia), E-mail: vexilurz@gmail.com
Tarasov Ilya Evgenievich, doctor of technical sciences, professor, sub-department of corporate informational systems, Russian Technological University MIREA (78 Vernadskogo avenue, Moscow, Russia), E-mail: ilya_e_tarasov@mail.ru 

621.396 

10.21685/2307-5538-2019-1-10 

Background. Analysis of biomedical signals, taking into account the importance of health care as an industry and the level of development of modern computing technology, allows to improve the characteristics of medical devices in a number of areas. In particular, the registration of electrical signals arising in the muscles (myography) can be used both for diagnostic purposes and in sports medicine or for controlling various technical devices: prostheses, exoskeletons, etc. From a technical point of view, the miosignals are signals with non-stationary parameters, therefore, for their analysis it is necessary to develop and apply appropriate methods.
Materials and methods. The article proposes the processing of myosignals using wavelet analysis with a modified Morlet function, which provides processing of signals with non-stationary parameters with the ability to control the ratio of bandwidth and timeline location.
Results. The proposed methods is used for the qualitative recognition of the myosignal taken from the biceps in a steady state and with physical load. The article shows the possibility of identifying the signals sent by the brain from the signals of the response of the muscles to the physical load.
Conclusions. Using of the wavelet transform with the modified Morlet function is useful for myosignals analysis with non-stationary parameters and allows to determine their characteristics. 

myosignals, digital signal processing, wavelet transform, Morlet wavelet function