Nadi Pariksha an Ayurvedic Technique to Diagnose the Diseases Using IoT and Machine Learning

The Nadi Pariksha is a well known term used by Ayurvedic practitioners to assess patient's physical and psychological conditions as well as their Tridoshas (Vata, Pitta, and Kapha). Pulse wave velocity has garnered a lot of attention lately as a reliable marker of cardiovascular disease. The purpose of this research is to combine new developments in pulse wave analysis with conventional Nadi Pariksha techniques from Ayurvedic classics. The essential characteristics of the pulse in Nadi Pariksha, according to classical sources, are movement (gati), speed (vega), stability (sthiratva), and arterial hardness (kathinya). To create an Internet of Things-enabled machine learning model, the significance of pulse wave velocity in cardiovascular research is taken advantage of. Three optical pulse sensors the frist one is (SEN11574), second CC3200 Launchpad XL, a PC, and third an Internet of Things cloud platform make up the suggested system. Together, these parts gather and analyze pulse signals. Vata, Pitta, and Kapha are represented by different pulse impulses that are captured by the three sensors. The experiment is conducted on the captured data using different machine learning techniques. Out of the experiment result the Support vector machine(SVM) with parameter optimization technique gave 92.1% which outperform all other techniques.