CFP last date
20 May 2024
Reseach Article

A Photoplethysmographic Monitor for Local Pulse Wave Velocity Measurement

by Matheus P. Neves, Antonio W. Porto Jr., Pedro H. Souza, Talles M. Barbosa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 31
Year of Publication: 2020
Authors: Matheus P. Neves, Antonio W. Porto Jr., Pedro H. Souza, Talles M. Barbosa
10.5120/ijca2020919811

Matheus P. Neves, Antonio W. Porto Jr., Pedro H. Souza, Talles M. Barbosa . A Photoplethysmographic Monitor for Local Pulse Wave Velocity Measurement. International Journal of Computer Applications. 177, 31 ( Jan 2020), 62-67. DOI=10.5120/ijca2020919811

@article{ 10.5120/ijca2020919811,
author = { Matheus P. Neves, Antonio W. Porto Jr., Pedro H. Souza, Talles M. Barbosa },
title = { A Photoplethysmographic Monitor for Local Pulse Wave Velocity Measurement },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2020 },
volume = { 177 },
number = { 31 },
month = { Jan },
year = { 2020 },
issn = { 0975-8887 },
pages = { 62-67 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number31/31103-2020919811/ },
doi = { 10.5120/ijca2020919811 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:27.310684+05:30
%A Matheus P. Neves
%A Antonio W. Porto Jr.
%A Pedro H. Souza
%A Talles M. Barbosa
%T A Photoplethysmographic Monitor for Local Pulse Wave Velocity Measurement
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 31
%P 62-67
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Currently, the available technologies that are capable of monitoring pulse wave velocity (PWV) in a patient are uncomfortable and obstructive. Recently, it has been hypothesized the use of photoplethysmographic (PPG) for this purpose and, therefore, the need to capture and understand the hemodynamic variables used in the PPG signal acquirement process, such as the local pulse transit time (PTT) and local PWV. This work aims to verify the feasibility of the PPG technique in the construction of local PTT and PWV monitor, using PPG sensors and low-cost integrated circuits. In this paper, the low-cost term is used as a synonym for retail sensors, available commercially and commonly used in academic projects for the Arduino platform. It is important for the development of wearable technologies that can be used in a future project to monitor PTT and PWV using a minimally obstructive approach.

References
  1. Allen, J. 2007. Photoplethysmography and its application in clinical physiological measurement.
  2. Kamal, A. A. R. et al. 1989. “Skin photoplethysmography - a review”.Comput. Methods Programs Biomed.
  3. Van Velzen, Marit H. N. et al. 1989-2000. “Increasing accuracy of pulse transit time measurements by automated elimination of distorted photoplethysmography waves”. Medical & Biological Engineering & Computing.
  4. Elgendi M. 2012. On the analysis of fingertip photoplethysmogram signals. Curr Cardiol Rev. 2012
  5. Eliakim, M. et al. 1972. The effect of long-acting glyceryl trinitrate on peripheral circulation Geriatrics.
  6. Nabeel, P M. et al. 2017 ExperimentalValidation of Dual PPG Local Pulse Wave Velocity Probe.
  7. H. Halik e A. Johncamm. “Heart Rate Variability”.Futura PublishingCompany, 1995.
  8. Joseph, G. et al. 2014. "Photoplethysmogram (PPG) signal analysis and wavelet de-noising," Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives.
  9. Souza, P. et al. 2016. “HRVCam: A software for real-time feedback of heart rate and HRV”. In: IEEE 6th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS).
  10. Souza, P. H. B. 2019. Método para estimação da frequência cardíaca e variabilidade cardíaca com base em fotopletismografia por vídeo.
  11. Liu, M. et al. 2017. “Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal and Its Second Derivative.” International Journal of Computer Theory and Engineering.
  12. Gao, M. et al. 2016. Comparison of noninvasive pulse transit time estimates as markers of blood pressure using invasive pulse transit time measurements as a reference.
  13. Khong, W. L. et al. 2017. Blood pressure measurements using non- contact video imaging techniques, in: IEEE 2nd International Conference on Automatic Control and Intelligent Systems.
  14. Nabeel, P. M. et al. 2018. Arterial Blood Pressure Estimation From Local Pulse Wave Velocity Using Dual-Element Photoplethysmograph Probe. IEEE Transactions On Instrumentation And Measurement.
Index Terms

Computer Science
Information Sciences

Keywords

Photoplethysmography pulse transit time pulse wave velocity Arduino.