Signal myogram features research

The paper investigates behavior of myograms, signals of muscle activity of a person. The paper proposes new ways of processing these signals to determine the reference points. The reference points are associated with the actual moment of the beginning of movement in the experiments. Further localized reference points are used to construct the associative filter processing ultraweak nonstationary signals of magnetoencephalogram. New methods retain high accuracy of previously used methods, but they are faster in several times.