摘要
表面肌电信号(Surface Electromyographic,s EMG)监测广泛运用于临床诊断、康复医学,它的特征信号提取是进行临床诊断的主要依据。文章在常规的时域分析、频域分析特征提取方法的基础上,对最近的研究热点内容包括时频分析方法、参数模型分析方法和非线性特征分析方法等方面进行了综述和探讨,并对表面肌电信号特征提取方法在相关领域的未来研究方向和发展趋势进行分析和展望。
The surface electromyographic（ s EMG） monitoring is widely used in clinical diagnosis and rehabilitation medicine. Its feature extractions are the main foundation of clinical diagnoses. Based on the conventional feature extraction methods of time- domain and frequency- domain,this paper focuses on summarizing and discussing the recent research hot spots,including methods of time- frequency,parameter mode and nonlinear features. Besides,this paper analyze and prospect the future research direction and development trend of the feature extraction methods of s EMG in the related fields.
出处
《生物医学工程学进展》
CAS
2015年第3期164-168,共5页
Progress in Biomedical Engineering
基金
上海市科学技术委员会科研计划项目(14441905100)
