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Alister Dsouza1 , M.S. Panse2
- Dept. Electrical Engineering, VJTI, Mumbai, India.
- Dept. Electrical Engineering, VJTI, Mumbai, India.
Section:Research Paper, Product Type: Isroset-Journal
Vol.5 ,
Issue.4 , pp.36-40, Aug-2017
Online published on Aug 30, 2017
Copyright © Alister Dsouza, M.S. Panse . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Alister Dsouza, M.S. Panse, “LabVIEW based detection of Pulse Transit Time from Plethysmogram and ECG signals for estimation of Blood Pressure,” International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.4, pp.36-40, 2017.
MLA Style Citation: Alister Dsouza, M.S. Panse "LabVIEW based detection of Pulse Transit Time from Plethysmogram and ECG signals for estimation of Blood Pressure." International Journal of Scientific Research in Computer Science and Engineering 5.4 (2017): 36-40.
APA Style Citation: Alister Dsouza, M.S. Panse, (2017). LabVIEW based detection of Pulse Transit Time from Plethysmogram and ECG signals for estimation of Blood Pressure. International Journal of Scientific Research in Computer Science and Engineering, 5(4), 36-40.
BibTex Style Citation:
@article{Dsouza_2017,
author = {Alister Dsouza, M.S. Panse},
title = {LabVIEW based detection of Pulse Transit Time from Plethysmogram and ECG signals for estimation of Blood Pressure},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {8 2017},
volume = {5},
Issue = {4},
month = {8},
year = {2017},
issn = {2347-2693},
pages = {36-40},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=435},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=435
TI - LabVIEW based detection of Pulse Transit Time from Plethysmogram and ECG signals for estimation of Blood Pressure
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Alister Dsouza, M.S. Panse
PY - 2017
DA - 2017/08/30
PB - IJCSE, Indore, INDIA
SP - 36-40
IS - 4
VL - 5
SN - 2347-2693
ER -
Abstract :
Blood Pressure is the pressure exerted by blood on the walls of arteries. Normal blood pressure is considered to be a systolic blood pressure of 120 millimetres of mercury and diastolic pressure of 80 millimetres of mercury (stated as "120 over 80"). If an individual were to have a consistent blood pressure reading of 140 over 90, he would be evaluated for having high blood pressure. If left untreated, high blood pressure can damage important organs, such as the brain and kidneys, as well as lead to a stroke. Thus it becomes important to measure blood pressure as it can lead to early diagnosis of diseases that may be linked to high or low blood pressure. PTT is the time taken by the arterial pulse propagating from the heart to a peripheral site. This can be calculated from ECG signals and PlethysmoGram signals. Since, PTT has been found to be correlated to Blood Pressure, it is imperative to calculate PTT accurately. In this paper, algorithms used to calculate the points of interest in the ECG signal and the signal along with the calculation of PTT from them is developed. The coding has been done in LabVIEW which is has a graphical programming syntax that makes it simple to visualize, create, and code engineering systems.
Key-Words / Index Term :
Blood Pressure, ECG,PTT,PPG, LabVIEW
References :
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