A prospective study to assess the association between emotion and disease: Wrist Pulse Signals

Abstract

Ayurveda engineering, one of the areas which is getting attention nowadays. In Ayurveda, pulse diagnosis helps to get into the root cause of illness or disease of human body by observing fingertip palpations over the radial artery of a wrist. The Wrist Pulse Signals (WPS) dictate the physiological status of entire human body and a close association is considered between heart and mind. As the association gets weak, it introduces imbalance (vikruti) within body and results in various types of diseases. Emotion plays an important role to study the state of mind of a person. The origin of many diseases is linked with human emotions. Machines with the capability of emotion recognition can look inside the physiological changes in human body. Emotion detection using physiological and peripheral signals like electroencephalogram, electrocardiogram, skin conductance, photoplethysmography, galvanic skin response has been in continuous use. The wrist pulse signals, non-invasive approach of health diagnosis, relies on the understanding and analysis of the characteristics of pulse pressure signals. This paper mainly focuses on the framework to map human emotion with diseases based on the (Vata, Pitta and Kapha) natural imbalance using WPS analysis with modernization.