Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation

被引:19
|
作者
Lee, Joonnyong [1 ]
Sohn, JangJay [1 ]
Park, Jonghyun [1 ]
Yang, SeungMan [1 ]
Lee, Saram [2 ]
Kim, Hee Chan [3 ,4 ]
机构
[1] Seoul Natl Univ, Grad Sch, Interdisciplinary Program Bioengn, Suite 321,Bldg 8,101 Daehak Ro, Seoul 03080, South Korea
[2] Seoul Natl Univ Hosp, Biomed Res Inst, Suite 1203-1,71 Daehak Ro, Seoul 03082, South Korea
[3] Seoul Natl Univ, Dept Biomed Engn, Coll Med, Suite 11315,101 Daehak Ro, Seoul 03080, South Korea
[4] Seoul Natl Univ, Inst Med & Biol Engn, Med Res Ctr, Suite 11315,101 Daehak Ro, Seoul 03080, South Korea
来源
基金
新加坡国家研究基金会;
关键词
Blood pressure; Pulse pressure; Stroke volume; Pre-ejection period; Pulse transit time; Ubiquitous healthcare; TOTAL ARTERIAL COMPLIANCE; CORONARY-HEART-DISEASE; CARDIOVASCULAR RISK; ARRIVAL-TIME; HYPERTENSION; BALLISTOCARDIOGRAM; VARIABILITY; RATIO; ABNORMALITIES; POPULATION;
D O I
10.1186/s12938-018-0510-8
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Background: Non-invasive continuous blood pressure monitors are of great interest to the medical community due to their value in hypertension management. Recently, studies have shown the potential of pulse pressure as a therapeutic target for hypertension, but not enough attention has been given to non-invasive continuous monitoring of pulse pressure. Although accurate pulse pressure estimation can be of direct value to hypertension management and indirectly to the estimation of systolic blood pressure, as it is the sum of pulse pressure and diastolic blood pressure, only a few inadequate methods of pulse pressure estimation have been proposed. Methods: We present a novel, non-invasive blood pressure and pulse pressure estimation method based on pulse transit time and pre-ejection period. Pre-ejection period and pulse transit time were measured non-invasively using electrocardiogram, seismocardiogram, and photoplethysmogram measured from the torso. The proposed method used the 2-element Windkessel model to model pulse pressure with the ratio of stroke volume, approximated by pre-ejection period, and arterial compliance, estimated by pulse transit time. Diastolic blood pressure was estimated using pulse transit time, and systolic blood pressure was estimated as the sum of the two estimates. The estimation method was verified in 11 subjects in two separate conditions with induced cardiovascular response and the results were compared against a reference measurement and values obtained from a previously proposed method. Results: The proposed method yielded high agreement with the reference (pulse pressure correlation with reference R >= 0.927, diastolic blood pressure correlation with reference R >= 0.854, systolic blood pressure correlation with reference R >= 0.914) and high estimation accuracy in pulse pressure (mean root-mean-squared error <= 3.46 mmHg) and blood pressure (mean root-mean-squared error <= 6.31 mmHg for diastolic blood pressure and <= 8.41 mmHg for systolic blood pressure) over a wide range of hemodynamic changes. Conclusion: The proposed pulse pressure estimation method provides accurate estimates in situations with and without significant changes in stroke volume. The proposed method improves upon the currently available systolic blood pressure estimation methods by providing accurate pulse pressure estimates.
引用
下载
收藏
页数:20
相关论文
共 50 条
  • [1] Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation
    Joonnyong Lee
    JangJay Sohn
    Jonghyun Park
    SeungMan Yang
    Saram Lee
    Hee Chan Kim
    BioMedical Engineering OnLine, 17
  • [2] Blood Pressure Estimation Based on Pulse Transit Time with LANDMARC
    Wang, Yang
    Liu, Zhiwen
    2017 IEEE LIFE SCIENCES CONFERENCE (LSC), 2017, : 141 - 144
  • [3] Pulse waveform as an indicator of baseline offset in pulse transit time based blood pressure estimation
    Lin, Chen
    Zhou, Yuan
    Wang, Hu
    Wang, Yao
    2017 IEEE-NIH HEALTHCARE INNOVATIONS AND POINT OF CARE TECHNOLOGIES (HI-POCT), 2017, : 26 - 31
  • [4] A Compensation Method for Blood Pressure Estimation by Pulse Transit Time
    Liu, Songsong
    Ma, Heather T.
    Chen, Long
    Wang, Xiaopeng
    Yuan, Dezhang
    2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON), 2013,
  • [5] Noninvasive Continuous Blood Pressure Estimation with Peripheral Pulse Transit Time
    Li, Yibin
    Chen, Xiaomeng
    Zhang, Yang
    Deng, Ning
    PROCEEDINGS OF 2016 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2016, : 66 - 69
  • [6] Estimation of Blood Pressure and Pulse Transit Time Using Your Smartphone
    Dias Junior, Alair
    Murali, Srinivasan
    Rincon, Francisco
    Atienza, David
    2015 EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD), 2015, : 173 - 180
  • [7] Validation of Pulse Transit Time Based Blood Pressure Estimation on Atrial Fibrillation Patients
    Chen, Yang
    Huang, Shoulin
    Wang, Tong
    Ma, Ting
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 2679 - 2682
  • [8] Coefficient-Free Blood Pressure Estimation Based on Pulse Transit Time-Cuff Pressure Dependence
    Forouzanfar, Mohamad
    Ahmad, Saif
    Batkin, Izmail
    Dajani, Hilmi R.
    Groza, Voicu Z.
    Bolic, Miodrag
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (07) : 1814 - 1824
  • [9] Near threshold pulse transit time processor for central blood pressure estimation
    Veirano, Francisco
    Perez-Nicoli, Pablo
    Gammarano, Nicolas
    Fierro, German
    Silveira, Fernando
    2022 IEEE 13TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS AND SYSTEMS (LASCAS), 2022, : 172 - 175
  • [10] Characters available in photoplethysmogram for blood pressure estimation: beyond the pulse transit time
    Yanjun Li
    Zengli Wang
    Lin Zhang
    Xianglin Yang
    Jinzhong Song
    Australasian Physical & Engineering Sciences in Medicine, 2014, 37 : 367 - 376