Approximation of cuff-less non-invasive blood pressure using PhotoPlethysmogram signal

PhotoPlethysmogram (PPG) signals may be used to improve non-invasive cuff-less blood pressure monitoring, according to this article. Cardiovascular factors and blood flow are strongly correlated with the PPG signal’s morphology. The height and breadth of the pulse have been taken into account for the assessment of blood pressure as a distinct characteristic of PhotoPlethysmoGram signals. An ECG machine and an inflated cuff can be used to measure pulse plethysmograms, but this new device just needs one. There are several drawbacks to using a typical blood pressure machine, such as the need for an expert, the inability to notice the korotkoff noises, and discomfort for the user. Furthermore, the presence of a cuff makes this very sensitive to artifacts. PAT and PTT, two of the most often used non-invasive procedures, need a large number of variables to accurately estimate blood pressure. Using the linear regression approach from a PhotoPlethysmography signal, this technology predicts the cardiovascular characteristic of a non-invasive cuff-less blood pressure measurement. LabVIEW GUI was used to collect real-world data, while MATLAB tools were used to analyse and model the signal. As a consequence of the research, it was shown that this method is easy to use, non-invasive, affordable, and reliable for assessing arterial pulse signals in relation to wave amplitude variations. When it comes to measuring blood pressure, a specific property of PhotoPlethysmoGraphy signals such as the pulse’s height and breadth are evaluated. Blood pressure readings received from different monitors were cross-validated. As the systolic blood pressure rises, the simulated output shows that the pulse (systolic height) increases in inverse proportion to the increase in cardiac output, but this happens in a shorter period of time. Systolic blood pressure is related to the breadth and area of the pulse. Our simulation results reveal that PPG and blood pressure have a precise relationship. Inflection heights between 10 and a minimum of 2 have lower error percentages, according to the computation among the retrieved characteristics.