Laouris Y, Reinking R M, Stuart D G
Department of Physiology, College of Medicine, University of Arizona, Tucson 85724.
Brain Res Bull. 1991 Jun;26(6):997-1002. doi: 10.1016/0361-9230(91)90269-p.
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.
本文介绍了一种基于软件的系统,用于从单个运动单位中提取复合动作电位(肌电图,EMG)记录的特征。它简化并自动化了动作电位几个参数的测量和分析:峰峰值幅度、总持续时间、峰峰持续时间和总面积。该软件基于一种简单的算法,该算法首先找到每个单个肌电图电位(波形)的基线(等电位线;包括噪声水平),然后在表示它的数据点数组中搜索最小值和最大值。该算法从最小值和最大值数据点(波形峰值)开始双向搜索,以找到波形的起点和终点。使用该算法提供的四个数据点的索引(即数组点编号),提取和/或计算所需特征,并保存在标准格式的电子表格中。该算法在广泛的电生理研究中具有潜在的广泛用途。