Analysis of Atherosclerosis from Finger Photoplethysmogram (PPG) Signal Using Autoregressive Modelling
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
This project deals with atherosclerosis detection from Photoplethysmogram. Atherosclerosis is a disease in which plaque builds up inside your arteries. Arteries are blood vessels that carry oxygen-rich blood to heart and other parts of the body. Plaque is made up of fat, cholesterol, calcium, and other substances found in the blood. Over time, plaque hardens and narrows the arteries. This limits the flow of oxygen-rich blood to the organs and other parts of the body. By using the photoplethysmogram technique the peripheral artery characteristics are recorded from the fingertip and the waveform is analyzed using the MATLAB software. The obtained signal is filtered and downsampled to remove the DC components and to increase the accuracy for processing. Signal processing technique is used to derive the pressure waveform from the PPG waveform using the Burgs algorithm. This proposed method is very useful for detecting the atherosclerosis at an early stage.
Authors and Affiliations
Sujee M, Premkumar K
Keywords
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- EP ID EP22219
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