Study on Non-invasive Detection of Atherosclerosis Based on Electrocardiogram and Pulse Wave Signals_Journal of Biomedical Engineering

Authors：

1. College of Physics and Electronic Information Science, Inner Mongolia Normal University, Hohhot 010022, China;
2. College of Electronics and Information Engineering, Inner Mongolia University, Hohhot 010021, China;
3. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China;

Corresponding author：

Keywords：

electrocardiogram signal; pulse wave signal; arteriosclerosis; non-invasive detection

DOI：

10.7507/1001-5515.20160105

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Artery stiffness is a main factor causing the various cardiovascular diseases in physiology and pathology. Therefore, the development of the non-invasive detection of arteriosclerosis is significant in preventing cardiovascular problems. In this study, the characterized parameters indicating the vascular stiffness were obtained by analyzing the electrocardiogram (ECG) and pulse wave signals, which can reflect the early change of vascular condition, and can predict the risk of cardiovascular diseases. Considering the coupling of ECG and pulse wave signals, and the association with atherosclerosis, we used the ECG signal characteristic parameters, including RR interval, QRS wave width and T wave amplitude, as well as the pulse wave signal characteristic parameters (the number of peaks, 20% main wave width, the main wave slope, pulse rate and the relative height of the three peaks), to evaluate the samples. We then built an assessment model of arteriosclerosis based on Adaptive Network-based Fuzzy Interference System (ANFIS) using the obtained forty sets samples data of ECG and pulse wave signals. The results showed that the model could noninvasively assess the arteriosclerosis by self-learning diagnosis based on expert experience, and the detection method could be further developed to a potential technique for evaluating the risk of cardiovascular diseases. The technique will facilitate the reduction of the morbidity and mortality of the cardiovascular diseases with the effective and prompt medical intervention.

Citation： ZHANGLina, ZHOURunjing, WUPei, LIUMeiling, ZHANGJue. Study on Non-invasive Detection of Atherosclerosis Based on Electrocardiogram and Pulse Wave Signals. Journal of Biomedical Engineering, 2016, 33(4): 631-638, 644. doi: 10.7507/1001-5515.20160105 Copy

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18.	黄伟, 杨明施, 肖雪辉, 等.心电图ST-T缺血性改变与冠状动脉病变的关系[J].中南大学学报(医学版), 2015, 40(7):760-763.
19.	胡大一, 王宏宇.亚临床血管病变与临床实践(上)[J].中国医刊, 2002, 37(12):41-43.
20.	张维忠.早期发现和检测亚临床血管病变[J].中华心血管病杂志, 2007, 35(10):881-882.
21.	王炳和, 杨颙, 相敬林.一种无创测定桡动脉脉搏波速度的方法及影响脉搏波速度的因素[J].生物医学工程学杂志, 2000, 17(2):179-182.
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23.	杨成, 王学民, 孙涛, 等.基于脉象Hilbert-Huang变换和样本熵的动脉硬化症检测研究[J].生物医学工程学杂志, 2012, 29(6):1178-1183.
24.	刘宝华, 任晓华.脉搏波传导速度测量算法的研究及其进展[J].生物医学工程学杂志, 2010, 27(1):231-235.
25.	罗志昌, 张松, 杨文鸣, 等.脉搏波波形特征信息的研究[J].北京工业大学学报, 1996, 22(1):71-79.
26.	骆璇, 常昌远, 魏同立.脉搏波的解析模型及初步临床应用研究[J].数理医药学杂志, 1999, 12(4):293-295.
27.	柳兆荣, 李惜惜.血流动力学原理与方法[M].上海:复旦大学出版社, 1997.
28.	AMOORE J N, GEAKE W B, SCOTT D H T. The effects of pulse rate, artefact and pulse strength on oscillometric non-invasive blood pressure measurements[C]//Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996. Amsterdam:1996, 5:1977-1978.
29.	倪小珂, 费保蔚, 程敬之.心电同步在脉搏血氧测试中的应用[J].生物医学工程学杂志, 1996, 13(4):313-316.
30.	KÖHLER B U, HENNIG C, ORGLMEISTER R. The principles of software QRS detection[J]. IEEE Eng Med Biol Mag, 2002, 21(1):42-57.
31.	董红生, 张爱华, 郝晓弘.基于非线性能量算子的心电信号R波检测方法[J].计算机测量与控制, 2009, 17(12):2358-2362.
32.	宋莉, 孟庆建, 张光玉, 等.基于波形特征和SVM的心电信号自动分类方法研究[J].中国医学物理学杂志, 2010, 27(4):2043-2046.
33.	LEI W K, LI B N, DONG M C, et al. AFC-ECG:an adaptive fuzzy ECG classifier[J]. Advances in Soft Computing, 2007, 39(12):189-199.
34.	曹细武, 邓亲恺.心电图各波的频率分析[J].中国医学物理学杂志, 2001, 18(1):46-48.
35.	杨凤霞.基于脉搏信号的亚健康状态识别方法的研究[D].兰州:兰州理工大学, 2006.
36.	元慧.脉搏波的特征信息分析和动脉硬化诊断研究[D].济南:山东大学, 2005.
37.	郝晓霞.基于脉搏波的动脉硬化识别方法的研究[D].呼和浩特:内蒙古大学, 2009.
38.	周润景, 张丽娜.基于MATLAB与fuzzyTECH的模糊与神经网络设计[M].北京:电子工业出版社, 2010.

1. 世界卫生组织.心血管疾病[EB/OL](2015-01)[2015-09-02].http://www.who.int/mediacentre/factsheets/fs317/zh/.
2. 庞明.中国老年心血管病流行现状[J].广西医学, 2007, 29(1):139-140.
3. 卫生部心血管病防治研究中心.中国心血管病报告2014[M].北京:中国大百科全书出版社, 2015.
4. 孙欣, 李广义, 李远洋, 等.动脉硬化无创检测研究进展[J].中国医疗设备, 2015, 30(10):14-17.
5. 王琰.动脉脉搏波的波形分析及动脉硬化诊断[D].济南:山东大学, 2004.
6. 刘明波, 王文.脉搏波速在心血管疾病危险性预测中的研究[J].实用心脑肺血管病杂志, 2002, 10(5):292-295.
7. TAKENAKA T, KOBAYASHI K, SUZUKI H. Pulse wave velocity as an indicator of arteriosclerosis in hemodialysis patients[J]. Atherosclerosis, 2004, 176(2):405-409.
8. BRINTON T J, COTTER B, KAILASAM M T, et al. Development and validation of a noninvasive method to determine arterial pressure and vascular compliance[J]. Am J Cardiol, 1997, 80(3):323-330.
9. MACKENZIE I S, WILKINSON I B, COCKCROFT J R. Assessment of arterial stiffness in clinical practice[J]. Q J Med, 2002, 95:67-74.
10. WILKINSON I B, HALL I R, MACCALLUM H, et al. Pulse-wave analysis:clinical evaluation of a noninvasive, widely applicable method for assessing endothelial function[J]. Arterioscler Thromb Vasc Biol, 2002, 22(1):147-152.
11. 潘文志, 舒先红, 宿燕岗, 等.QRS波时限临床意义研究的进展[J].中国心脏起搏与心电生理杂志, 2007, 36(5):448-451.
12. YOKOKAWA M, KIM H M, GOOD E, et al. Impact of QRS duration of frequent premature ventricular complexes on the development of cardiomyopathy[J]. Heart Rhythm, 2012, 9(9):1460-1464.
13. 罗鸿宇, 华琦, 刘建峰, 等.室性期前收缩负荷与心电图及心功能参数的相关性分析[J].首都医科大学学报, 2015, 36(3):399-404.
14. PALATINI P, JULIUS S. Association of tachycardia with morbidity and mortality:pathophysiological considerations[J]. J Hum Hypertens, 1997, 11(Suppl 1):S19-S27.
15. 毛懿, 陈纪林.欧洲心脏病学年会(ESC)会议纪要[J].中国循环杂志, 2008, 372(9641):817-821.
16. 张辉, 冯婧, 梁婷, 等.心率和心率变异性与心力衰竭及预后的相关性[J].中国动脉硬化杂志, 2014, 22(3):274-278.
17. 戴显鹏, 邹德玲.心电图avL导联T波改变对判断左前降支前中段阻塞的预示意义[J].中国动脉硬化杂志, 2015, 23(4):397-401.
18. 黄伟, 杨明施, 肖雪辉, 等.心电图ST-T缺血性改变与冠状动脉病变的关系[J].中南大学学报(医学版), 2015, 40(7):760-763.
19. 胡大一, 王宏宇.亚临床血管病变与临床实践(上)[J].中国医刊, 2002, 37(12):41-43.
20. 张维忠.早期发现和检测亚临床血管病变[J].中华心血管病杂志, 2007, 35(10):881-882.
21. 王炳和, 杨颙, 相敬林.一种无创测定桡动脉脉搏波速度的方法及影响脉搏波速度的因素[J].生物医学工程学杂志, 2000, 17(2):179-182.
22. 王宏宇, 龚兰生, 张维忠, 等.动脉功能检测方法学研究[J].中国民康医学, 2005, 17(8):420-421.
23. 杨成, 王学民, 孙涛, 等.基于脉象Hilbert-Huang变换和样本熵的动脉硬化症检测研究[J].生物医学工程学杂志, 2012, 29(6):1178-1183.
24. 刘宝华, 任晓华.脉搏波传导速度测量算法的研究及其进展[J].生物医学工程学杂志, 2010, 27(1):231-235.
25. 罗志昌, 张松, 杨文鸣, 等.脉搏波波形特征信息的研究[J].北京工业大学学报, 1996, 22(1):71-79.
26. 骆璇, 常昌远, 魏同立.脉搏波的解析模型及初步临床应用研究[J].数理医药学杂志, 1999, 12(4):293-295.
27. 柳兆荣, 李惜惜.血流动力学原理与方法[M].上海:复旦大学出版社, 1997.
28. AMOORE J N, GEAKE W B, SCOTT D H T. The effects of pulse rate, artefact and pulse strength on oscillometric non-invasive blood pressure measurements[C]//Proceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996. Amsterdam:1996, 5:1977-1978.
29. 倪小珂, 费保蔚, 程敬之.心电同步在脉搏血氧测试中的应用[J].生物医学工程学杂志, 1996, 13(4):313-316.
30. KÖHLER B U, HENNIG C, ORGLMEISTER R. The principles of software QRS detection[J]. IEEE Eng Med Biol Mag, 2002, 21(1):42-57.
31. 董红生, 张爱华, 郝晓弘.基于非线性能量算子的心电信号R波检测方法[J].计算机测量与控制, 2009, 17(12):2358-2362.
32. 宋莉, 孟庆建, 张光玉, 等.基于波形特征和SVM的心电信号自动分类方法研究[J].中国医学物理学杂志, 2010, 27(4):2043-2046.
33. LEI W K, LI B N, DONG M C, et al. AFC-ECG:an adaptive fuzzy ECG classifier[J]. Advances in Soft Computing, 2007, 39(12):189-199.
34. 曹细武, 邓亲恺.心电图各波的频率分析[J].中国医学物理学杂志, 2001, 18(1):46-48.
35. 杨凤霞.基于脉搏信号的亚健康状态识别方法的研究[D].兰州:兰州理工大学, 2006.
36. 元慧.脉搏波的特征信息分析和动脉硬化诊断研究[D].济南:山东大学, 2005.
37. 郝晓霞.基于脉搏波的动脉硬化识别方法的研究[D].呼和浩特:内蒙古大学, 2009.
38. 周润景, 张丽娜.基于MATLAB与fuzzyTECH的模糊与神经网络设计[M].北京:电子工业出版社, 2010.

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Study on Non-invasive Detection of Atherosclerosis Based on Electrocardiogram and Pulse Wave Signals

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