一种基于阵列传感器设计和双曲定位模型的心尖搏动信号获取技术
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摘要
目的针对传统单一传感器采集心尖搏动信号时因传感器位置不易确定,信号可靠性受质疑的问题,提出一种新的心尖搏动信号获取技术、方法采用阵列传感器设计,将3片完全相同的压电传感器设计成等边三角形结构,同步采集3路心尖搏动信号,同时对心尖搏动信号在胸腔传播过程中衰减的幅值特性和频率特性进行分析,建立心尖搏动信号的双曲定位卡模型,然后依据该模型重建出真实的心尖搏动信号。同步采集20例受试者的3路心尖搏动信号,以传感器A为基准信号,统计分析传感器B和C信号的3个特征点(C点、E点和O点)与基准信号的偏差有无显著性差异,进而说明单一传感器信号的可靠性。结果 t检验结果显示传感器B和C信号的3个特征点与基准信号的偏差均有显著的统计学差异,提示心尖搏动信号易受传感器放置位置的影响,信号可靠性不高。结论本文提出的心尖搏动信号获取技术解决了单一传感器放置位置不易确定的缺陷,利用双曲定位模型重建出可靠性更高的信号波形。
Objective Since the traditional single-sensor acquisition for the apex-cardiogram(AC(,)signal is not easy to determine the sensor location and the reliability of the ACG signal is oncertain,we proposes a new method for the ACG signal acquisition.Methods With the sensor array design,three identical piezoelectric sensors tire designed as a fixed equilateral triangular structure which can collect three ACG signals synchronously. Meanwhile,the amplitude and frequency attenuation characteristics are analyzed in the transmission process of the ACG signal.Then the hyperbolic position model is established and the true ACG signal is constructed based on this model.Finally,we collect the three ACG signals from 20 subjects and extract three feature points(C,E and O point) for each ACG signal.For eaeh subject,the feature points of sensor A is set to be the reference location.Then the feature point location deviations of sensor B and C from reference location are analyzed.Results The t test shows that the deviations of sensor B and C are statistically significant, suggesting that the ACG signal is vulnerable to the sensor position and the reliability of single-sensor ACG signal is not high.Conclusions This paper proposes a new method for ACG signal acquisition to solve the difficult position choice problem for the single-sensor and the hyperbolic position model is used to construct the more reliable ACG signals.
Objective Since the traditional single-sensor acquisition for the apex-cardiogram(AC(,)signal is not easy to determine the sensor location and the reliability of the ACG signal is oncertain,we proposes a new method for the ACG signal acquisition.Methods With the sensor array design,three identical piezoelectric sensors tire designed as a fixed equilateral triangular structure which can collect three ACG signals synchronously. Meanwhile,the amplitude and frequency attenuation characteristics are analyzed in the transmission process of the ACG signal.Then the hyperbolic position model is established and the true ACG signal is constructed based on this model.Finally,we collect the three ACG signals from 20 subjects and extract three feature points(C,E and O point) for each ACG signal.For eaeh subject,the feature points of sensor A is set to be the reference location.Then the feature point location deviations of sensor B and C from reference location are analyzed.Results The t test shows that the deviations of sensor B and C are statistically significant, suggesting that the ACG signal is vulnerable to the sensor position and the reliability of single-sensor ACG signal is not high.Conclusions This paper proposes a new method for ACG signal acquisition to solve the difficult position choice problem for the single-sensor and the hyperbolic position model is used to construct the more reliable ACG signals.
引文
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[4]Chiu YC,Arand PW,Shroff SG,et al.Determination of pulse wave velocities with computerized algorithms[J].Am Heart J, 1991,121(5):1460-1470.
[2]王美婵,宋亚华.心脏舒张功能的年龄性变化早于收缩功能[J].中国循环杂志,1996,11(7):419-422
[3]Liu JY,Jamshidi M,Pourbabak S.Human cardiovascular system identification and application using a hybrid method of autoregression and neuro-fuzzy inference svstems[C].Proceedings of the Third International Conference on Machine Learning and Cybernetics,2004,4107-4112.
[4]颜彦,郭兴明,肖守中.心脏功能评价指标及其检测方法进展[J].医疗卫生装备,2005,26(1):21-23. Yan Yan,Guo Xingming,Xiao Shouzhong.The eardiac function assessment index and its measuring methods progress[J]. Chiuese Medical Eqoipment Jonrnal,2005,26(1):21-23.
[5]许莉,樊朝美,李一石.右心功能评价技术研究进展[J].心血管病学进展,2006,27(4):472-475 Xu Li,Fan Chaomei,Li Yishi.Progress in technologies employet in assessment of right ventricular function[J]. Advances in Cardiovascular Diseases,2006,27(4):472-475.
[6]沈文锦现代心功能学[M].北京:人民军医出版社,2002: 426-431.
[7]齐天华,刘继伟,高文秀.阵列式脉象传感器的设计与制作[J].传感器技术,2005,24(8):86-88. Qi Tianhua,Liu Jiwei,Gao Wenxiu.Design and manufacture of array sphygmology sensor[J].Transducer and Microsystem Technologies,2005,24(8):86-88.
[8]Sze SM.Semiconductor devices physics and technology 2nd edition[M].New York:John Wiley & Sons,2001:21-49.
[9]刘静纨,陈建慧,罗志昌人体微循环弹性腔模型与模型参数估计[J].北京生物医学工程,2001,20(2):102-105. Liu Jingwan,Chen Jianhui,Luo Zhichang.An elastic chamber model of human microcirculation system and its parameter estimation[J].Beijing Biomedical Engineering,2001,20(2): 102-105.
[10]Uematsu M,Shiraishi Y,Sekine K,et al.An innovative approach to evaluate a cardiac function based on surface measurement[C]. Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference,2005:7640-7643.
[11]刘宏昭,原大宁,李冬平,等.结构阻尼时域本构模型及其应用[J].计算力学学报,2004,2l(3):303-307 Liu Hongzhao,Yuan Daning,Li Dongping,et al.Structural damping time domain constitution and its application[J]. Chinese Journal of Computational Mechanics,2004,21(3):303 -307.
[12]王建平,刘宏昭,原大宁,等.一类非线性振动系统改进状态空间模型及其数值方法[J].应用力学学报,2002,19 (4):112-116. Wang Jianping,Liu Hongzhao,Yuan Daning,et al.An improved state space model for parts of non-linear oscillation systems and its numerical method[J].Chinese Journal of Applied Mechanics,2002,19(4):112-116.
[3]Itzhak P,Eran T,Dan A,et al.Bicoherence analysis of new cardiovascular spectral components observed in heart-transplant patients:statistical approach for bicoherence thresholding[J]. IEEE Transactions on Biomedical Enginecring,2004,51(10): 1774- 1783.
[4]Chiu YC,Arand PW,Shroff SG,et al.Determination of pulse wave velocities with computerized algorithms[J].Am Heart J, 1991,121(5):1460-1470.