Estimation of Cuffless Systolic and Diastolic Blood Pressure Using Pulse Transient Time

被引:0
作者
Mehrabbeik, Mahtab [1 ]
Rashidi, Saeid [2 ]
机构
[1] Amirkabir Univ Technol, Fac Biomed Engn, Tehran, Iran
[2] Islamic Azad Univ, Sci & Res Branch, Fac Med Sci & Technol, Tehran, Iran
来源
2019 5TH IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS 2019) | 2019年
关键词
Blood Pressure; Pulse Transient Time; Electrocardiograph; Photoplethysmograph; noninvasive;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Blood Pressure is one of the most important parameters in clinical monitoring. For many years, cuff-based sphygmomanometer and arterial invasive line were the standard methods to access blood pressure. Recently, noninvasive indirect methods for achieving blood pressure have been studied. Using pulse transient time is one of the most important methods in order to estimate blood pressure. PTT is a feature that has a high correlation with systolic and diastolic blood pressure. To find and estimate PTT, we need to segment both electrocardiogram and photoplethysmogram signals. In this paper, we proposed a new method to segment the PPG signal to estimate PTT and heart rate. After estimating PTT and heart rate by segmenting and processing ECG signals and PPG signals, systolic pressure, diastolic pressure and mean arterial pressure were estimated using linear regression. The error of systolic pressure, diastolic pressure and mean arterial pressure were 11.62%, 11.21%, and 10.02%, respectively.
引用
收藏
页数:6
相关论文
共 12 条
  • [1] [Anonymous], 2017, METHODOLOGICAL REV T
  • [2] [Anonymous], 2011, MIM 2 WAV DAT
  • [3] Continuous Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio
    Ding, Xiao-Rong
    Zhang, Yuan-Ting
    Liu, Jing
    Dai, Wen-Xuan
    Tsang, Hon Ki
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 63 (05) : 964 - 972
  • [4] Kachuee M, 2015, IEEE INT SYMP CIRC S, P1006, DOI 10.1109/ISCAS.2015.7168806
  • [5] An innovative peak detection algorithm for photoplethysmography signals: an adaptive segmentation method
    Kavsaoglu, Ahmet Resit
    Polat, Kemal
    Bozkurt, Mehmet Recep
    [J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2016, 24 (03) : 1782 - 1796
  • [6] M. CLINIC, 2019, LOW BLOOD PRESS HYP
  • [7] o. CNX, QRS DET US PAN TOMPK
  • [8] A REAL-TIME QRS DETECTION ALGORITHM
    PAN, J
    TOMPKINS, WJ
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1985, 32 (03) : 230 - 236
  • [9] Pulse transit time:: an appraisal of potential clinical applications
    Smith, RP
    Argod, J
    Pépin, JL
    Lévy, PA
    [J]. THORAX, 1999, 54 (05) : 452 - 457
  • [10] Wang RP, 2014, INT CONF SIGN PROCES, P115, DOI 10.1109/ICOSP.2014.7014980