北京生物醫(yī)學(xué)工程

基于脈搏波傳播時間測量的特征信號處理算法的研究

Characteristic signal processing algorithms based on the pulse wave propagation time measuring

作者：丁有得王曉云

單位：廣州醫(yī)學(xué)院生物醫(yī)學(xué)工程系(廣州510182)

關(guān)鍵詞：脈搏波；算法；小波變換；傳播時間

分類號：

出版年·卷·期（頁碼）：2012·31·4（382-386）

摘要：

目的針對目前加速度脈搏波特征點(diǎn)檢測研究少的問題，本文提出一系列處理算法，并對加速度脈搏波關(guān)鍵點(diǎn)中的a、c兩點(diǎn)進(jìn)行了重點(diǎn)研究。方法通過對加速度脈搏波采用防脈沖移動平均、小波濾波等方法預(yù)處理后，采取差分閾值與小波系數(shù)模極大值相結(jié)合的方法，對關(guān)鍵點(diǎn)位置進(jìn)行檢測。實(shí)驗(yàn)處理數(shù)據(jù)源于對15名在校學(xué)生采集的60組容積脈搏波，通過本文算法進(jìn)行處理、檢測和驗(yàn)證。結(jié)果對于加速度脈搏波中關(guān)鍵點(diǎn)a、c兩點(diǎn)的正確識別率達(dá)92%以上。結(jié)論本文所述信號處理算法能夠?qū)γ}搏波傳播時間測量中的特征信號進(jìn)行快速、準(zhǔn)確的檢出，為新型醫(yī)療監(jiān)護(hù)設(shè)備的開發(fā)設(shè)計(jì)提供了技術(shù)支持。

Objective Since the algorithms about the accelerated pulse point detection are rare, this paper proposes a series of processing algorithms, and especially focuses on a and c, the two key points. Methods After the pretreatments of a moving average method for preventing the impulse interference and wavelet filtering method, we take the combined method of difference threshold and wavelet modulus maxima arithmetic to detect the key point positions. Experimental data come from 60 groups of volume pulse waves of 15 students, and then are verified the dependability through the processing algorithms introduced in this paper. Results The correct rate of a and c points are above 92%. Conclusions This signal processing algorithms can realize the rapid and accurate detection for pulse wave propagation time measurement, and can provide certain technical support to the new medical equipment design.

參考文獻(xiàn)：

［1］Hiroshi Osanai. Plethysmographic acceleration pulse wave meter: US, 4432374［P］.1984-02-21.
［2］Hidekatsu Inukai, Torru Oka. Blood pressure measuring apparatus: US, 0016058 A1［P］.2007-01-18.
［3］雷奧. MSP430微控制器系列講座（十五）：脈搏式血氧儀的單芯片解決方案［J］.電子世界, 2008(3):16-20.
Reo. MSP430 microcontroller lecture series (15) pulse oximeter of single chip solutions［J］. Electronics World. 2008(3)：16-20.
［4］張磊，潘泉，張洪才,等. 小波域?yàn)V波閾值參數(shù)c的選取［J］. 電子學(xué)報(bào)，2001，29（3）：400-402.
Zhang Lei, Pan Quan, Zhang Hongcai, et al. On the determination of threshold in threshold based de-noising by wavelet transform［J］. Acta Electronica Sinica, 2001，29（3）：400-402.
［5］唐科狄，何平，魏化媚,等. 小波軟閾值濾波在信號去噪中的有效性研究［J］. 艦船電子工程, 2009，29（7）：128-167.
Tang Kedi, He Ping, Wei Huamei, et al. Research on the validity of wavelet soft-threshold filtering in signal de-noising［J］. Ship Electronic Engineering, 2009，29（7）：128-167.
［6］孟晉麗，潘泉，張洪才. 基于空域相關(guān)的小波域硬閾值濾波［J］. 計(jì)算機(jī)工程與應(yīng)用, 2004(27)：29-31
Meng Jinli, Pan Quan, Zhang Hongcai. Adaptive wavelet denoising by spatial correlation thresholding［J］. Computer Engineering and Applications, 2004(27)：29-31
［7］Stéphane Mallat. 信號處理的小波導(dǎo)引［M］. 楊力華，戴道清，黃文良,等譯. 北京：機(jī)械工業(yè)出版社，2007：132-137.
Yang Lihua, Dai Daoqing, Huang Hualiang, et al. A wavelet tour of signal processing［M］. Beijing: China Machine Press, 2007: 132-137.
［8］Bruce LM, Adhami RR. Classifying mammographic mass shapes using the wavelet transform modulus maxima method［J］. IEEE Trans Med Imaging , 1999,18:1170-1177.

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