Due to a stroke or the like, the symptoms of spasticity may reduce the voluntaryness of the limbs and interfere with life.As a means for evaluating this spasticity neurophysiologically, there is a method of measuring a waveform called F wave using an induced electromyogram.When F waves are measured from normal muscles, waveforms with various shapes can be recorded, but in the case of muscles with spasticity, waveforms with the same shape may be recorded.That is, although it may be possible to evaluate spasticity and voluntaryness by analyzing the shape of the F wave waveform, a valid F wave waveform analysis method has not been established.
Whether Assistant Professor Marina Higashito of Kansai Medical University, Professor Masaaki Hanaoka of Shinshu University, Professor Hitoshi Asai of Kanazawa University, and Professor Toshiaki Suzuki of Kansai Medical University Graduate School can analyze F-wave waveforms using a processing method called additive averaging. I examined whether.
If the waveform appears in a variety, the waveform is canceled out and the amplitude value decreases by the addition averaging process.I thought that the amount of change in this amplitude value might reflect the diversity of F waves.For the diversity of F waves, a value called vertex density was calculated.This is a parameter showing how many vertices are densely packed in a certain section determined from the waveform after the addition averaging process.If the vertices of the waveform are densely packed in a defined interval, the effect of the offset by the averaging process is small, but if the vertices of the waveform appear dispersedly, the effect of the offset is expected to be large.Furthermore, for the purpose of visualizing the effect of the cancellation of negative and positive vertices by the averaging process, the type classification of F wave diversity was performed using a histogram.
As a result, no correlation was found between the amount of change in the amplitude value due to the averaging process and the density of vertices.However, when we confirmed the latent characteristics of the appearance of vertices from the histogram, we found that there are five types of diversity.In other words, it is possible that there is no correlation between the amount of change in the amplitude value due to the averaging process and the density of vertices due to the mixture of these types.
The results obtained in this study will be one of the criteria for the diversity of F waves in the future analysis of F wave waveforms.Furthermore, we believe that this Type classification will contribute to the F wave waveform analysis method that will be developed in the future. We believe that the establishment of parameters for analyzing the diversity of F waves will be an objective evaluation when voluntaryness is reduced due to cerebrovascular accidents or when muscle weakness is caused by lack of mobilization of motor units.
