Literature DB >> 23372068

Coefficient-free blood pressure estimation based on pulse transit time-cuff pressure dependence.

Mohamad Forouzanfar1, Saif Ahmad, Izmail Batkin, Hilmi R Dajani, Voicu Z Groza, Miodrag Bolic.   

Abstract

Oscillometry is a popular technique for automatic estimation of blood pressure (BP). However, most of the oscillometric algorithms rely on empirical coefficients for systolic and diastolic pressure evaluation that may differ in various patient populations, rendering the technique unreliable. A promising complementary technique for automatic estimation of BP, based on the dependence of pulse transit time (PTT) on cuff pressure (CP) (PTT-CP mapping), has been proposed in the literature. However, a theoretical grounding for this technique and a nonparametric BP estimation approach are still missing. In this paper, we propose a novel coefficient-free BP estimation method based on PTT-CP dependence. PTT is mathematically modeled as a function of arterial lumen area under the cuff. It is then analytically shown that PTT-CP mappings computed from various points on the arterial pulses can be used to directly estimate systolic, diastolic, and mean arterial pressure without empirical coefficients. Analytical results are cross-validated with a pilot investigation on ten healthy subjects where 150 simultaneous electrocardiogram and oscillometric BP recordings are analyzed. The results are encouraging whereby the mean absolute errors of the proposed method in estimating systolic and diastolic pressures are 5.31 and 4.51 mmHg, respectively, relative to the Food and Drug Administration approved Omron monitor. Our work thus shows promise toward providing robust and objective BP estimation in a variety of patients and monitoring situations.

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Year:  2013        PMID: 23372068     DOI: 10.1109/TBME.2013.2243148

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn; Omer T Inan; Lalit K Mestha; Chang-Sei Kim; Hakan Töreyin; Survi Kyal
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-05       Impact factor: 4.538

2.  Systolic peak foot-to-apex time interval, a novel oscillometric technique for systolic blood pressure measurement.

Authors:  Amir M Benmira; Antonia Perez-Martin; Sarah Coudray; Iris Schuster; Isabelle Aichoun; Jérémy Laurent; Fethi Bereski-Reguig; Michel Dauzat
Journal:  J Hypertens       Date:  2017-05       Impact factor: 4.844

3.  The Slow Evolution of Blood Pressure Monitoring: But Wait, Not So Fast!

Authors:  Florian Rader; Ronald G Victor
Journal:  JACC Basic Transl Sci       Date:  2017-12-25

4.  How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database.

Authors:  Yongbo Liang; Derek Abbott; Newton Howard; Kenneth Lim; Rabab Ward; Mohamed Elgendi
Journal:  J Clin Med       Date:  2019-03-11       Impact factor: 4.241

5.  Blood pressure estimation based on pulse rate variation in a certain period.

Authors:  Toshiyuki Hayase
Journal:  Sci Rep       Date:  2020-01-29       Impact factor: 4.379

6.  Quality Control and Validation of Oscillometric Blood Pressure Measurements Taken During an Epidemiological Investigation.

Authors:  Xiaoqin Cao; Chunhua Song; Leilei Guo; Junxia Yang; Songyuan Deng; Yajuan Xu; Xiaolin Chen; Wolde Bekalo Sapa; Kaijuan Wang
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

7.  Photoplethysmography and ultrasonic-measurement-integrated simulation to clarify the relation between two-dimensional unsteady blood flow field and forward and backward waves in a carotid artery.

Authors:  Shusaku Sone; Toshiyuki Hayase; Kenichi Funamoto; Atsushi Shirai
Journal:  Med Biol Eng Comput       Date:  2016-07-27       Impact factor: 2.602

8.  Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database.

Authors:  Yongbo Liang; Zhencheng Chen; Rabab Ward; Mohamed Elgendi
Journal:  Diagnostics (Basel)       Date:  2018-09-10

9.  Can Photoplethysmography Replace Arterial Blood Pressure in the Assessment of Blood Pressure?

Authors:  Gloria Martínez; Newton Howard; Derek Abbott; Kenneth Lim; Rabab Ward; Mohamed Elgendi
Journal:  J Clin Med       Date:  2018-09-30       Impact factor: 4.241

10.  Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.

Authors:  Yongbo Liang; Zhencheng Chen; Rabab Ward; Mohamed Elgendi
Journal:  Biosensors (Basel)       Date:  2018-10-26
  10 in total

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