Implementation of Soft Computing for the Betterment of Health Using Traditional Medicinal Methods

Abstract

We present a technology to reduce blood pressure using machine intelligence and electro-acupuncture. The pulse of is detected using a sensor mounted on a wrist band. The sensors monitors the pulse of the person and are measured using the genetic algorithm (GA) and fuzzy filter is used for noise reduction. Extracted features are processed to classify the states as “relaxed” and “stress”. If the person is found to have high blood pressure Electro-acupuncture is used to overcome it. Electro-acupuncture is similar traditional Chinese method of acupuncture and uses the same acupuncture points, but it does not use needles.