Akkiraju P, Reddy D C
Department of Electrical and Computer Engineering, Osmania University, Hyderabad, India.
IEEE Trans Biomed Eng. 1992 Jun;39(6):652-5. doi: 10.1109/10.141204.
Spectral analysis of myoelectric activity of the chest muscles is a promising diagnostic tool for respiratory diseases. Reduction of the corrupting cardiac activity from the recorded myoelectric activity of the chest muscles is essential because of the spectral overlap of both the signals. The adaptive noise cancellation technique was used to reduce the interfering cardiac activity from the recorded myoelectric activity. The adaptive noise canceller implemented in a transversal structure was found to successfully reduce the corrupting cardiac activity. This paper describes the cancellation of the corrupting cardiac activity from the recorded myoelectric activity using adaptive noise cancellation technique and the characteristic features of spectra of EMG signals.
胸部肌肉肌电活动的频谱分析是一种很有前景的呼吸系统疾病诊断工具。由于两种信号的频谱重叠，从记录的胸部肌肉肌电活动中减少干扰的心脏活动至关重要。采用自适应噪声消除技术来减少记录的肌电活动中干扰的心脏活动。结果发现，以横向结构实现的自适应噪声消除器能够成功减少干扰的心脏活动。本文描述了使用自适应噪声消除技术从记录的肌电活动中消除干扰的心脏活动以及肌电信号频谱的特征。
