Improved pulse transit time estimation by system identification analysis of proximal and distal arterial waveforms

被引:19
作者
Xu, Da
Ryan, Kathy L. [2 ]
Rickards, Caroline A. [3 ]
Zhang, Guanqun
Convertino, Victor A. [2 ]
Mukkamala, Ramakrishna [1 ]
机构
[1] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA
[2] USA, Inst Surg Res, Ft Sam Houston, TX 78234 USA
[3] Univ Texas San Antonio, San Antonio, TX USA
来源
AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY | 2011年 / 301卷 / 04期
基金
美国国家科学基金会;
关键词
arterial blood pressure; arterial stiffness; foot-to-foot detection; impulse response; pulse wave velocity; VELOCITY; IMPEDANCE; STIFFNESS;
D O I
10.1152/ajpheart.00443.2011
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Xu D, Ryan KL, Rickards CA, Zhang G, Convertino VA, Mukkamala R. Improved pulse transit time estimation by system identification analysis of proximal and distal arterial waveforms. Am J Physiol Heart Circ Physiol 301: H1389-H1395, 2011. First published July 29, 2011; doi: 10.1152/ajpheart.00443.2011.-We investigated the system identification approach for potentially improved estimation of pulse transit time (PTT), a popular arterial stiffness marker. In this approach, proximal and distal arterial waveforms are measured and respectively regarded as the input and output of a system. Next, the system impulse response is identified from all samples of the measured input and output. Finally, the time delay of the impulse response is detected as the PTT estimate. Unlike conventional foot-to-foot detection techniques, this approach is designed to provide an artifact robust estimate of the true PTT in the absence of wave reflection. The approach is also applicable to arbitrary types of arterial waveforms. We specifically applied a parametric system identification technique to noninvasive impedance cardiography (ICG) and peripheral arterial blood pressure waveforms from 15 humans subjected to lower-body negative pressure. We assessed the technique through the correlation coefficient (r) between its 1/PTT estimates and measured diastolic pressure (DP) per subject and the root mean squared error (RMSE) of the DP predicted from these estimates and measured DP. The technique achieved average r and RMSE values of 0.81 +/- 0.16 and 4.3 +/- 1.3 mmHg. For comparison, the corresponding values were 0.59 +/- 0.37 (P < 0.05) and 5.9 +/- 2.5 (P < 0.01) mmHg for the conventional technique applied to the same waveforms and 0.28 +/- 0.40 (P < 0.001) and 7.2 +/- 1.8 (P < 0.001) mmHg for the conventional technique with the ECG waveform substituted for the ICG waveform. These results demonstrate, perhaps for the first time, that the system identification approach can indeed improve PTT estimation.
引用
收藏
页码:H1389 / H1395
页数:7
相关论文
共 50 条
[41]   Estimation of aortic pulse wave transit time in cardiovascular magnetic resonance using complex wavelet cross-spectrum analysis [J].
Ioannis Bargiotas ;
Elie Mousseaux ;
Wen-Chung Yu ;
Bharath Ambale Venkatesh ;
Emilie Bollache ;
Alain de Cesare ;
Joao A.C. Lima ;
Alban Redheuil ;
Nadjia Kachenoura .
Journal of Cardiovascular Magnetic Resonance, 17
[42]   The acute effects of running on blood pressure estimation using pulse transit time in normotensive subjects [J].
Mico Yee-Man Wong ;
Emma Pickwell-MacPherson ;
Yuan-Ting Zhang .
European Journal of Applied Physiology, 2009, 107 :169-175
[43]   Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors [J].
Dias, Alair, Jr. ;
Murali, Srinivasan ;
Rincon, Francisco ;
Atienza, David .
MICROPROCESSORS AND MICROSYSTEMS, 2016, 46 :84-95
[44]   Cuff-Free Blood Pressure Estimation Using Pulse Transit Time and Heart Rate [J].
Wang, Ruiping ;
Jia, Wenyan ;
Mao, Zhi-Hong ;
Sclabassi, Robert J. ;
Sun, Mingui .
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, :115-118
[45]   Blood Pressure Estimation Using Pulse Transit Time From Bioimpedance and Continuous Wave Radar [J].
Buxi, Dilpreet ;
Redout, Jean-Michel ;
Yuce, Mehmet Rasit .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (04) :917-927
[46]   Study of continuous blood pressure estimation based on pulse transit time, heart rate and photoplethysmography-derived hemodynamic covariates [J].
Feng, Jingjie ;
Huang, Zhongyi ;
Zhou, Congcong ;
Ye, Xuesong .
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 2018, 41 (02) :403-413
[47]   Design and Development of Pulse Transit Time Based Cuffless Blood Pressure Monitoring System [J].
Singh, Harinderjit ;
Singh, Mandeep .
2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, SIGNALS, COMMUNICATION AND OPTIMIZATION (EESCO), 2015,
[48]   Pulmonary arterial hemodynamic assessment by a novel index in systemic lupus erythematosus patients: pulmonary pulse transit time [J].
Efe, Tolga Han ;
Dogan, Mehmet ;
Ozisler, Cem ;
Cimen, Tolga ;
Felekoglu, Mehmet Ali ;
Ertem, Ahmet Goktug ;
Algul, Engin ;
Acikel, Sadik .
ANATOLIAN JOURNAL OF CARDIOLOGY, 2017, 18 (03) :223-228
[49]   Circadian pattern and night-day variations in human arterial stiffness: assessment using ambulatory recording of arterial pressure and pulse transit time [J].
Bia, D. ;
Lluberas, S. ;
Zocalo, Y. ;
Etchart, C. ;
Zabalza, M. ;
Armentano, R. L. .
IV LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING 2007, BIOENGINEERING SOLUTIONS FOR LATIN AMERICA HEALTH, VOLS 1 AND 2, 2008, 18 (1,2) :82-86
[50]   Sequence analysis of pulse transit time and systolic blood pressure during dynamic exercise [J].
Porta, A ;
Gasperi, C ;
Nollo, G ;
Lucini, D ;
Antolini, R ;
Pagani, M .
Computers in Cardiology 2005, Vol 32, 2005, 32 :849-852