Signal processing methods for localization of nonrenewable regions

This paper is devoted to the problem of myogram and magnetoencephalogram signal synchronizing. The evoked potentials have been used to localize the brain activity areas. The method is based on magnetoencephalogram data averaging with respect to the reference points. Voluntary movements start points were indicated as reference points. The main difficulty of magnetoencephalogram averaging was related to uncertainty in identification of voluntary movements start points. This paper presents a new accurate procedure for the reference points detection based on the stochastic characteristics of myogram and magnetoencephalogram. Two-stage procedure was suggested for voluntary movement start points localization. First, these points are identified according to myogram and/or actogram signal records and then revised according to magnetoencephalogram signal records. The obtained results can be applied in many scientific fields to solve various localization problems.