北京生物醫(yī)學(xué)工程

心律失常的多重分形去趨勢(shì)波動(dòng)分析

Multifractal detrended fluctuation analysis for the pathological electrocardiograph signals

作者：趙燁南王俊

單位：南京郵電大學(xué)通信與信息工程學(xué)院圖像處理與圖像通信江蘇省重點(diǎn)實(shí)驗(yàn)室（南京210003）

關(guān)鍵詞：心律失常信號(hào)；標(biāo)度不變性；多重分形；去趨勢(shì)波動(dòng)分析

分類號(hào)：

出版年·卷·期（頁(yè)碼）：2012·31·5（474-477）

摘要：

目的心律失常的及早診斷對(duì)及時(shí)救助病人具有重要意義。方法基于多重分形去趨勢(shì)波動(dòng)分析方法，本文對(duì)正常心電信號(hào)及竇、房性心律失常信號(hào)進(jìn)行分析。結(jié)果發(fā)現(xiàn)三種信號(hào)都具有不同程度的長(zhǎng)程相關(guān)性和多重分形特性，且在波動(dòng)函數(shù)的階數(shù)為正值時(shí)，三種信號(hào)的長(zhǎng)程相關(guān)特性最為明顯。通過(guò)比較三種信號(hào)的多重分形譜，發(fā)現(xiàn)正常心電信號(hào)的多重分形譜寬度最小，竇性心動(dòng)過(guò)緩信號(hào)次之，心房顫動(dòng)寬度最大。結(jié)論此研究結(jié)果對(duì)臨床醫(yī)學(xué)診斷區(qū)分心律失常與正常心電信號(hào)有很好的借鑒意義。

Objective The early diagnosis and timely salvation for patients with arrhythmia is of great significance. Methods In this paper, multifractal detrended fluctuation analysis method was used to analyze the multifractal characteristics of the sinus bradycardia（SBR）signals, the atrial fibrillation(AF) signals and the normal electrocardiograph (ECG) signals. Results We found that the three kinds of signals were long-range correlating and multifractal. When the order of fluctuation function was positive, the three kinds of signals showed distinct long-range correlation properties. To compare with the multifractal spectra of the three signals, the width of the normal ECG signals’ spectrum was the smallest, the SBR signals’ was bigger and the width of the AF signals’ was the biggest. Conclusions This study provided good reference for clinical diagnosis of SBR and AF signals.

參考文獻(xiàn)：

［1］楊鈞國(guó)，李治安. 現(xiàn)代心電圖學(xué) ［M］. 北京：科學(xué)出版社，1997：1-1036.
［2］宋智，李焱淼.時(shí)頻分析在心電信號(hào)分析中的應(yīng)用［J］.大連交通大學(xué)學(xué)報(bào)，2010，12(02)：56-59.
Song Zhi, Li Yanmiao. Study of time-frequency analysis and application in ECG analysis［J］. Journal of Dalian Jiaotong University，2010，12(02)：56-59.
［3］Buldyrev SV, Goldberger AL, Havlins, et al. Long-range correlation properties of coding and noncoding DNA sequences: GenBank analysis ［J］. Phys Rev E, 1995, 51(5):5084-5091.
［4］楊毓英, 史習(xí)智, 蔡悅斌.基于黑板模型的心電信號(hào)解釋系統(tǒng)原型BBIS-ECG原型設(shè)計(jì)［J］. 北京生物醫(yī)學(xué)工程，1996，(4)：193-197.
Yang Yuying, Shi Xizhi, Cai Yuebing. Design of BBIS-ECG—a blackboard based interpretation system for ECG signal［J］. Beijing Biomedical Engineering, 1996，(4)：193-197.
［5］Iyengar N, Peng CK, Morin R, et al. Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics ［J］. Am J Physiol Regul Integr Comp Physiol, 1996, 271:1078-1084.
［6］Tulppo MP, Hughson RL, Makikallio TH, et al. Effects of exercise and passive head-up tilt on fractal and complexity properties of heart rate dynamics ［J］. Am J Physiol Heart Circ Physiol, 2001, 280(3): H1081- H1088.
［7］Peitgen HO, Jurgens H, Saupe D. Chaos and Fractals: New Frontiers of Science［M］. New York，Springer, 1992：183-228.
［8］Bacry E, Delour J, Muzy JF. Multifractal random walks［J］. Phys Rev E, 2001, 64: 026103-026105.
［9］Muzy JF, Bacry E, Arneodo A. Multifractal formalism for fractal signal: The structure function approach versus the wavelet-transform modulus-maxima method［J］. Phys Rev E, 1993, 47: 875-883.
［10］Peng CK, Buldyrev SV, Havlin S, et al. Mosaic organization of DNA nucleotides［J］. Phys Rev E, 1994, 49(2): 1685-1389.
［11］Kantelhardt JW, Zschiegner SA, Koscielny-bunde E, et al. Multifractal detrended fluctuation analysis of nonstationary time series［J］. Physica A, 2002, 316 (1- 4): 87-114.
［12］馬斌榮，陳卉. 醫(yī)學(xué)科研中的統(tǒng)計(jì)方法［M］. 北京: 科學(xué)出版社，2005：33-40.
［13］謝瑛瑛，諸強(qiáng). 心率變異性的檢測(cè)與分析［J］. 北京生物醫(yī)學(xué)工程， 2010， 29（2）：215-219.
Xie Yingying, Zhu Qiang. Measurement and analysis of heart rate vartabi Lity［J］. Beijing Biomedical Engineering ,2010, 29(2):215-219.

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