Computer Aided Clinical Electromyography

 In recent years, several techniques of computer based quantitative Motor Unit Action Potential (MUAP) techniques have been introduced. Most of these methods were based on the template matching technique. In this work we introduced a different pattern recognition algorithm which is based on the following MUAP parameters: number of phases, amplitude, spike duration, initial duration and duration. These features were shown to carry sufficient information necessary for MUAP classification.