肌电图
电机单元
计算机科学
物理医学与康复
神经科学
光学(聚焦)
医学
心理学
物理
光学
作者
Eduardo Martinez‐Valdes,Francesco Negro
出处
期刊:Neuromethods
日期:2023-01-01
卷期号:: 105-123
被引量:2
标识
DOI:10.1007/978-1-0716-3315-1_6
摘要
Surface electromyography (EMG) is a noninvasive technique that has the potential to provide information on how the nervous system controls movement. Nevertheless, conventional EMG methods with low spatial sampling resolution do not provide the necessary level of detail to study motor behavior. During the last decade, the emergence of high-density surface EMG (HDsEMG) systems has enabled a more detailed analysis of the firing patterns of alpha motoneurons to the muscle. Access to this information has improved our understanding of the neural mechanisms responsible for the control and generation of muscle force. This chapter will focus on the recording of HDsEMG signals and the processing techniques enabling the identification of motor unit firings from surface EMG recordings by employing HDsEMG.
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