Computer-aided extraction of the features of the EMG of single motor units

A software-based system is presented for feature extraction of compound, action-potential (EMG) recordings from single motor units. It simplifies and automates the measurement and analysis of several parameters of the action potential: peak-to-peak amplitude, total duration, peak-to-peak duration, and total area. The software is based on a simple algorithm that first finds the baseline (isoelectric line; including a noise level) of each single EMG potential (waveform) and then searches for the minimum and maximum values in the array of data points representing it. The algorithm searches in both directions starting from the minimum and maximum data points (the waveform peaks) to find the beginning and ending points of the waveform. Using the indices (i.e., array-point numbers) of the four data points provided by the algorithm, the desired features are extracted and/or calculated and saved in a standard-format spreadsheet. The algorithm has a potentially widespread usefulness in a broad array of electrophysiological studies.