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基于心電信號(hào)的脈搏波形特征點(diǎn)提取

A Method of Feature Points Extracting for Pulse Wave Signal Based on ECG

作者: 趙治月  張愛(ài)華  楊華 
單位:蘭州理工大學(xué)電氣工程與信息工程學(xué)院(蘭州730050)
關(guān)鍵詞: 心電;脈搏;信號(hào)處理;相關(guān)性分析 
分類號(hào):
出版年·卷·期(頁(yè)碼):2011·30·1(51-56)
摘要:

為尋求一種精確的脈搏波特征提取方法,提取更多的脈搏波形特征,揭示心電脈搏在時(shí)域上的相關(guān)性,使用MP425數(shù)據(jù)采集卡和LabVIEW構(gòu)成的數(shù)據(jù)采集系統(tǒng)同步采集ECG信號(hào)和脈搏波信號(hào),對(duì)ECG信號(hào)和脈搏波信號(hào)進(jìn)行分析和處理,采用能量算子法檢測(cè)心電信號(hào)R波;基于同步采集的ECG和脈搏波信號(hào),提出一種應(yīng)用ECG信號(hào)的R波和T波來(lái)提取Pulse wave的重搏波和峰值的方法。經(jīng)過(guò)分析與實(shí)驗(yàn)驗(yàn)證,該方法能準(zhǔn)確找到脈搏波波峰和重搏波位置,并具有較強(qiáng)的抗干擾能力,為研究心電脈搏之間的關(guān)系提供了一種新的方法。

In order to explore an accurate method of pulse waveform feature extracting,detect more pulse waveform features and reveal the correlation between electrocardiogram (ECG) and pulse in the time domain,ECG signals and pulse wave signals were collected from the subjects by using the MP425 card and LabVIEW acquisition system. The ECG signals and the pulse wave signals were analyzed and processed. The R-wave of ECG was detected by using the method of teager energy operator(TEO). Based on synchronized ECG and pulse wave signals, a method was proposed for detecting the characteristic points of pulse wave by R-wave and T-wave of ECG. After analysis and experimental verification, it was proved that the positions of pulse peek and dicrotic wave in pulse waveform were exactly determined by proposed method, that had strong interference-free ability, and provided a new approach for exploring the relation between ECG and pulse wave.

參考文獻(xiàn):

[1]Alty SR, Angarita-Jaimes N, Millasseau SC, et al. Arterial stiffness from the digital volume pulse waveform[J]. IEEE Transactions on Biomedical Engineering, 2007,54(12):2268-2275.
[2]王燕,白濤,康景利.基于小波模極大原理的脈象特征提取研究[J].航天醫(yī)學(xué)與醫(yī)學(xué)工程,2006,19(1):41-46.
[3]Wang Huiyan , Zhang Peiyong. Investigation on the automatic parameters extraction of pulse signals based on wavelet transform. Zhejiang  Univ Sci A, 2007, 8(8):1283-1289.
[4]Wang Huiyan, Zhang Peiyong . A Quantitative Method for Pulse Strength Classification Based on Decision Tree. Soft Ware, 2009, 4(4):323-329.
[5]John Darrington. Towards real time QRS detection: A fast method using minimal pre-processing.[J]. Biomedical Signal Processing and  Control, 2006,1(2):169-176.
[6]Chen SW, Chen HC. A real time QRS detection method based on moving-averaging incorporating with wavelet  denoising [J]. Computer Methods and Programs in  Biomedicine,2006, 82:187-195.
[7]高振斌,賈希,賈志成.基于小波變換的腦電信號(hào)降噪方法的研究[J]. 河北工業(yè)大學(xué)學(xué)報(bào),2006,35(6):30-33.
[8]胡廣書.現(xiàn)代信號(hào)處理教程[M].北京:清華大學(xué)出版社,2004.
[9]齊蓓蓓,吳效明,黃岳山.基于MATALAB的脈搏波信號(hào)的實(shí)時(shí)處理[J].測(cè)控自動(dòng)化,2009,25(10):184-185.
[10]李剛,劉玉良,林凌,等.光電脈搏波信號(hào)處理中呼吸干擾的抑制[J].納米技術(shù)與精密工程,2008,6(1):54-58.
[11]Zhang Aihua , Chai Long , Dong Hongsheng. QRS Complex Detection of ECG Signal by Using Teager Energy Operator[C]. Shanghai, China:The 2nd International Conference on Bioinformatics and Biomedical Engineering,2008: 2095-2098.
[12]牛傳莉.心電信號(hào)預(yù)處理和波形檢測(cè)算法的研究[D].北京:北京交通大學(xué),2009:47-49.
[13]吳琳娜,劉少?gòu)?qiáng),汪立林.新型脈搏波檢測(cè)時(shí)域處理方法與系統(tǒng)實(shí)現(xiàn)[J].傳感器與微系統(tǒng),2009,27(9):72-74.
 

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