Non-Invasive Device to Predict Human Well Being from Wrist Radial Artery

Indian medicine, Siddha,Homeopathy and Ayurvedha system dates back more than 3000 years ago. In Ayurvedha,the diagnosis is based on three pulse Vata, Pitta and Kapha nadi from radial artery nerve. Indian medicine practitioners can get a complete overview of the health state of any patient by measuring these three pulses and analysing them to get a diagnosis. But the pulse diagnosis is subjective which can lead to the false diagnosis of a patient. Hence,In this work, an intelligent non-invasive device which acquires,process and analyse signals from Vata, Pita and Kapha nadi (VPK). The VPK pulse signals are acquired from the radial nerve of the person. Features are extracted from the acquired signal and classified using Machine learning models. Hence, the proposed modern intelligent device aid physisican for the accurate diagnosis and clinical decision.