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基于小波变换改进的上肢肌电信号降噪分析
De-noising of Electromyography of the Arm Signal with Wavelet Transform
【摘要】 在医用领域,上肢肌电信号研究为上肢损伤医治方法提供了科学有效的数据,在实际应用中,由于表面肌电信号十分微弱,同时,脑电信号、检测仪器等各类噪声与未知因素的存在与影响,使得肌电信号的提取工作尤为艰难,采用全新的小波变换分析方法,对采集到的肌电信号进行降噪处理,利用Matlab对不同频段的肌电信号进行不同阈值的降噪处理并达到较好效果,具有很好的实用性。
【Abstract】 In the field of medicine, the sEMG of the arm provide the most scientific and effective data for the therapeutic method of the arm. The sEMG is not only feeble in practical application, but also affected by the noise of the brain signal, detecting instrument and the unknown influence. It tends to hinder the extract task. In this paper, we use the new analytical method of wavelet transform to reduce the sEGM noise. We need to reduce the noise of the sEMG in different frequency range with different threshold in Matlab. We can receive a better result. Then it will have a good practical application.
- 【文献出处】 控制工程 ,Control Engineering of China , 编辑部邮箱 ,2015年S1期
- 【分类号】TN911.4
- 【被引频次】12
- 【下载频次】291