Non Invasive Estimation of blood pressure using a linear regression model from the photoplethysmogram (PPG) Signal

Nowadays most of the blood pressure measuring devices rely on a common concept of inflatable cuff to the arm which is based on auscultatory or oscillometry principle. These existing blood pressure meters, based on cuff are considered to be inconvenient for daily monitoring and these are very sensitive to artefacts due to the presence of cuff. The other non invasive methods like PTT, PAT require more no. of parameters in order to estimate the blood pressure. This paper is aimed at designing a non invasive cuff-less cardiovascular parameters estimation system from Photoplethysmography(PPG) Signals technique Using LabVIEW and analysis using MATLAB. A ppg signal is voltage derived signal generated by the photo detector from light with the changes in the blood volume. It does reflect the movement of blood in the blood vessel, going in a wave like motion from the heart to the fingertips through the blood vessels. It has been considered as non-invasive, reliable, simple, and cost-effective method for measuring arterial pulse waves in relation to changes in wave amplitude. This study aimed to investigate the possibilities of monitoring the pressure system status by using morphological features of PPG components. The specific characteristic feature of the PPG wave such as Pulse height and Pulse width has been taken into count for the Blood Pressure estimation. The estimation is further done using a mathematical tool such as regression analysis via MATLAB.