一种呼吸信号的检测方法  

A New Method for the Detection of the Respiratory Signal

作　　者：肖敏 蔡光卉[1] 张榆锋[1] 郑帆[1] 杨维娜[1] 

机构地区：[1]云南大学信息学院,昆明650091

出　　处：《生物医学工程研究》2008年第3期188-192,共5页Journal Of Biomedical Engineering Research

摘　　要：探讨呼吸波形的检测方法,针对现有方法的不足,提出了从肌电提取呼吸信号的检测方法—肌电频谱法。该方法首先利用FastICA算法消除胸部肌电信号中的心电信号成分,再对处理后的信号进行短时傅立叶变换,提取平均平移曲线得到呼吸波形。通过仿真及对实际信号的处理,表明该方法简单有效,可以准确地从肌电信号中提取呼吸信号。We proposed a method to detect the respiratory wavetbrm （EMG spectrum method） in electromyogram （EMG）. This method used a fast independent component analysis （FastICA） algorithm to remove the interference of electrocardiogram （ECG） from surface electromyogram （sEMG） recordings. EMG was obtained through Short Time Fourier Transform （STFT）. The spectrum analysis curve was computed according to mean frequency of each spectrum, then the respiratory signal waveform was gained. The experimental results show that this method is simple and effective for extraction of respiratory waveform from EMG accurately.

关 键 词：呼吸信号 检测方法 频谱分析 呼吸波形 快速不动点算法 

分 类 号：R318[医药卫生—生物医学工程]