计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
31期
203-206,210
,共5页
心电模板%强噪声背景%心电去噪%小波变换模极大值%相干平均
心電模闆%彊譟聲揹景%心電去譟%小波變換模極大值%相榦平均
심전모판%강조성배경%심전거조%소파변환모겁대치%상간평균
ECG template%strong noise background%ECG de-noising%wavelet transform modulus maxima%coherent averaging
针对强噪声心电去噪,提出了基于心电模板的去噪方法.首先,将小波变换模极大值方法和信号相干平均技术相结合,构造出心电模板信号.然后给出了两种基于心电模板的强噪声心电去噪方法:直接重建法和间接相关法.最后将该方法与基于小波软、硬阈值去噪方法进行了对比,结果显示所得信号波形平滑度更好、信噪比更高.基于心电模板的去噪方法能够有效去除心电强噪声,为心电弱特征信息成分的准确提取奠定了基础.同时研究提供的心电模板构造方法也可用于其他准周期性生理信号,为强噪声生理信号去噪提供了一种有益思路.
針對彊譟聲心電去譟,提齣瞭基于心電模闆的去譟方法.首先,將小波變換模極大值方法和信號相榦平均技術相結閤,構造齣心電模闆信號.然後給齣瞭兩種基于心電模闆的彊譟聲心電去譟方法:直接重建法和間接相關法.最後將該方法與基于小波軟、硬閾值去譟方法進行瞭對比,結果顯示所得信號波形平滑度更好、信譟比更高.基于心電模闆的去譟方法能夠有效去除心電彊譟聲,為心電弱特徵信息成分的準確提取奠定瞭基礎.同時研究提供的心電模闆構造方法也可用于其他準週期性生理信號,為彊譟聲生理信號去譟提供瞭一種有益思路.
침대강조성심전거조,제출료기우심전모판적거조방법.수선,장소파변환모겁대치방법화신호상간평균기술상결합,구조출심전모판신호.연후급출료량충기우심전모판적강조성심전거조방법:직접중건법화간접상관법.최후장해방법여기우소파연、경역치거조방법진행료대비,결과현시소득신호파형평활도경호、신조비경고.기우심전모판적거조방법능구유효거제심전강조성,위심전약특정신식성분적준학제취전정료기출.동시연구제공적심전모판구조방법야가용우기타준주기성생리신호,위강조성생리신호거조제공료일충유익사로.
Aiming at ECG de-noising under strong noise background,a de-noising method based on the ECG template is proposed.First,it integrates the wavelet transform modulus maxima method with the signal coherent averaging technique to construct the ECG template.Secondly, it gives two ECG de-noising methods based on the ECG template: direct reconstruction method and indirect correlation method.Finally,it compares the de-nosing results of the method proposed with the results of the soft and hard threshold methods based on wavelet transform.The results show that the ECG de-noising signal by the method based on the ECG template has the better smoothness and higher Signal to Noise Ratio(SNR).The ECG de-noising method based on the ECG template can effectively remove the strong noise and it establishes the foundation for an accurate extraction of the weak components in the raw ECG signal.Furthermore, the construction method of the ECG template can also be used for other quasi-periodic physiological signals.This results in a new way to research the de-noising method of the physiological signal under strong noise background.