摘要
如何从肌电信号中有效地减少工频干扰一直是肌电信号检测与应用中的突出问题。本文总结数字陷波、LMS自适应滤波、卡尔曼(Kalman)滤波和S变换等几种适合进行实时工频干扰去除的方法,研究和分析它们在去除肌电信号中工频干扰的性能。初步结果表明:Kalman滤波方法在从肌电信号中减少工频干扰方面表现出了较好的整体性能,而S变换方法对具有严重工频干扰的肌电信号具有较好的噪声抑制效果。
Effectively reducing power line interference is always an important issue in electromyography(EMG) signal recordings and analysis.In this study,four commonly used de-noising methods,including digital notch,LMS based adaptive filter,Kalman filter and S transform,which may be suitable for the reduction of power line interference in realtime EMG recordings,were chosen and their performance in reducing the power line interference from EMG signal recordings were quantitatively analyzed and compared.The pilot results of this study showed that Kalman filter presented the best whole performance in attenuating power line interference from EMG signals and S transform de-noising method illustrated the best performance when the power line interference was severe.
出处
《集成技术》
2012年第1期114-118,共5页
Journal of Integration Technology
基金
国家自然科学基金(60971076
61135004)
深圳市政府基础研究计划(JC201005270295A)
深圳市生物医疗电子与健康信息公共技术服务平台
广东省低成本健康技术创新团队基金
深圳市个性化骨科技术与服务平台
关键词
肌电信号
工频干扰
滤波方法
干扰减少
EMG signal
power line interference
filtering methods
interference reduction