【作者】 韩清鹏；

【Author】 Han Qingpeng College of Environmental Science & Engineering Yangzhou University, Yangzhou 225009, China

【机构】 扬州大学环境科学与工程学院；

【摘要】 以小波变换理论为基础,提出了人的脉搏信号小波去噪算法,用于去除脉搏信号中的基线漂移、工频干扰及肌电干扰噪声。然后对去噪后的脉搏信号进行小波分解,重构指定的细节分量,采用阈值法提取脉搏的P波波峰点。依据P波波峰与其它特征点的位置关系,分别提取T波波峰点,D波波峰点,V波波谷和脉搏初始点A,实现了脉搏信号5个特征点的提取。最后对四种不同的去噪法进行了误差比较分析。更多还原

【Abstract】 A de-noising algorithm for removing baseline drift, power-line interference and electromyographical interference in human pulse signals is proposed based on wavelet transform theory. Then the de-noised pulse signals are decomposed using wavelet decomposition and certain detail components are reconstructed. Moreover, five feature points of the pulse signal are identified. In the process the P-wave peaks are extracted by threshold approach firstly and the extraction of T-wave peaks, D-wave peaks, V-wave troughs and starting points A are achieved depending on the position relations between these points and P-wave peaks. Finally, the analysis comparing the error by four different de-noising methods is presented.更多还原