Literature DB >> 29059978

Using a new PPG indicator to increase the accuracy of PTT-based continuous cuffless blood pressure estimation.

Oluwarotimi Williams Samuel.   

Abstract

Pulse transit time (PTT) has been identified as a potential indicator to estimate blood pressure (BP) continuously and cufflessly in the previous studies, but it is still unsatisfactory for clinical uses. In order to improve the BP estimation accuracy, another candidate signal, photoplethysmogram (PPG) has been used to estimate continuous BP. In this study, a new PPG indicator, the intensity ratio of the first derivative wave of PPG (1st dPIR), was proposed and a novel BP estimation algorithm by using both PTT and 1st dPIR was developed with an attempt to further increase the BP estimation accuracy. The performance of the proposed algorithm was examined and validated using the ECG and PPG recordings from 22 healthy subjects when they performed both mental arithmetic stress and Valsalva's manoeuvre tests that could induce their BP fluctuations. The continuous Finapres® BP were measured with a finger cuff as a referenced BP value. Our results showed that using the proposed BP estimation algorithm, the grand absolute mean and standard deviation (SD) errors between the estimated and referenced BP were 3.22±8.02 mmHg for systolic BP (SBP) and 3.13±4.82mmHg for diastolic BP (DBP). It could achieve a decrease of 0.34±0.27 mmHg in SBP and 0.33±0.44 mmHg in DBP on the grand absolute mean and SD estimation errors in comparison to the state-of-the-art PPT-based method. Findings from this study suggest that the newly proposed PPG indicator would be promising for improving the accuracy of current PTT-based continuous and cuffless BP estimation algorithms.

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Year:  2017        PMID: 29059978     DOI: 10.1109/EMBC.2017.8036930

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

Review 1.  Cuffless Blood Pressure Monitoring: Academic Insights and Perspectives Analysis.

Authors:  Shiyun Li; Can Zhang; Zhirui Xu; Lihua Liang; Ye Tian; Long Li; Huaping Wu; Sheng Zhong
Journal:  Micromachines (Basel)       Date:  2022-07-30       Impact factor: 3.523

2.  The B-Score is a novel metric for measuring the true performance of blood pressure estimation models.

Authors:  Tomas L Bothe; Andreas Patzak; Niklas Pilz
Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

3.  Identification of blood pressure reflecting personalized traits using bilateral photoplethysmography.

Authors:  Young-Suk Shin
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

4.  Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

Authors:  Syed Ghufran Khalid; Jufen Zhang; Fei Chen; Dingchang Zheng
Journal:  J Healthc Eng       Date:  2018-10-23       Impact factor: 2.682

5.  Non-Invasive Device for Blood Pressure Wave Acquisition by Means of Mechanical Transducer.

Authors:  David Zambrana-Vinaroz; Jose Maria Vicente-Samper; Carlos G Juan; Vicente Esteve-Sala; Jose Maria Sabater-Navarro
Journal:  Sensors (Basel)       Date:  2019-10-05       Impact factor: 3.576

Review 6.  Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension.

Authors:  Kaylie Welykholowa; Manish Hosanee; Gabriel Chan; Rachel Cooper; Panayiotis A Kyriacou; Dingchang Zheng; John Allen; Derek Abbott; Carlo Menon; Nigel H Lovell; Newton Howard; Wee-Shian Chan; Kenneth Lim; Richard Fletcher; Rabab Ward; Mohamed Elgendi
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.241

7.  Cuff-Less Blood Pressure Prediction from ECG and PPG Signals Using Fourier Transformation and Amplitude Randomization Preprocessing for Context Aggregation Network Training.

Authors:  Treesukon Treebupachatsakul; Apivitch Boosamalee; Siratchakrit Shinnakerdchoke; Suejit Pechprasarn; Nuntachai Thongpance
Journal:  Biosensors (Basel)       Date:  2022-03-04
  7 in total

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