肌电图
肱二头肌
电机单元
信号(编程语言)
参数统计
计算机科学
肘部
物理医学与康复
语音识别
模式识别(心理学)
生物医学工程
医学
人工智能
数学
解剖
统计
程序设计语言
作者
Paul Gammans,Shengfeng Qin,David Wright
出处
期刊:PubMed
日期:2003-01-01
卷期号:39: 187-92
摘要
In this paper we investigate the effect on the spectra of an EMG signal due to changes in the parameters, which control motor unit (MU) firing sequences. To enable this analysis we start by developing a computer-based model of the motor unit activation potential (MUAP) to enable the generation of artificial surface electromyography (EMG) signals. By adjusting the parameters used in the generation of the synthetic EMG we can investigate the effect of a single parametric change on the resultant spectrum. The parameters and range of values we investigated were determined after a literature review. The synthetic EMGs are compared to actual EMG signals collected from the biceps muscle of males subjects aged between 18 to 32, years all without any known neuromuscular disease, disabilities or injuries to the elbow joint.
科研通智能强力驱动
Strongly Powered by AbleSci AI