A new waveform analysis method reflecting the diversity of F-wave Waveforms–Waveform types in healthy subjects based on the combined use of the additive averaging method and histograms-

Application of new waveform analysis methods reflecting F-wave diversity -classification of F-wave diversity according to differences in the derived muscles

“…In a subsequent study, we examined the ulnar nerve, where the persistence of F waves was 80–100%, excluding the factor of reduction due to persistence, but no relationship was found between the variation in peak latency and the amount of reduction in amplitudes by additive averaging. However, on observing the characteristics of individual waveforms, it became clear that there were five main classes, even among the waveforms that showed diversity [ 14 ]. Considering the mechanism underlying F wave generation, the characteristics of the waveform are expected to vary depending on the characteristics of the muscle from which it is derived and the percentage of motor units of the innervating nerve.…”