PPG Signal-Based Blood Pressure Classification With Ensemble Bagged Trees Method

The state of blood pressure within the human body poses a significant risk when it deviates substantially from normal conditions, a condition referred to as hypertension. Hypertension can give rise to various severe health complications that, if untreated, can be life-threatening. It elevates the risk of heart disease, stroke, and mortality. As for detecting these disorders, many have done using medical. But detecting these disorders can also be done using the latest technology, namely by using a Photoplentysmograph (PPG) which can produce an estimate of blood pressure, and by classifying it using Ensamble Bagged Trees (EBT). In this test, 150 subjects were carried out with a human age range of 20–65 years. The results obtained show that the proposed technology can be used as the classification of blood pressure in humans with an accuracy of 98.9%.