摘要
目的:本文针对表面肌电(sEMG)信号探讨动作电位传导速度(APCV)估计问题。方法:以生理学仿真sEMG信号为基础,采用基于互相关分析的时延估计技术来获取相应的APCV估计值,并利用重采样技术来提高估计的精度。结果:实验表明,针对重采样后的仿真信号,其APCV的估计误差得到了明显降低。结论:所采用方法能够有效获取满意的APCV估计效果。
Objecotive: The action potential conduction velocity (APCV) estinaation was explored in this paper. Methods: Based on a physiological model of sEMG signal, the APCV estimation result was acquired by using the time-delay estimation of cross correlation, and the re-sampling technique was utilized to improve the estimation performance. Results: The experimental results showed that the APCV estimation error could be reduced by the re-sampling technique. Conclusion: The APCV estimation performance could be satisfactorily acquired by the proposed method.
出处
《现代生物医学进展》
CAS
2011年第19期3774-3776,共3页
Progress in Modern Biomedicine
基金
西南科技大学博士研究基金资助项目(08zx0110)
关键词
动作电位传导速度
仿真
互相关
重采样
Action potential conduction velocity
, Simulation
Cross correlation
Re-sampling