A Computational Model for CMAP and F-wave Signal Generation

Nerve conduction studies (NCS) are often carried out to evaluate patients with peripheral nervous system disorders. NCS instruments with automated waveform analysis capability could expand the accessibility of the NCS to improve overall patient care quality and to reduce health care cost. In this paper, a computer model is described for generating realistic waveforms often measured during NCS. Availability of such computational model will facilitate the rapid development of advanced signal analysis algorithms for intelligent EMG systems