A handheld device to monitor physiological changes using sweat

Abstract

Sweat is a viscous, multi-parameter fluid that can be used to gain information on various functions of the body. The focus of this paper is to develop a prototype for a hand held that considers factors such as temperature, pH, and conductivity of sweat to arrive at a conclusion about the current physiological condition of the user. Sweat is metabolite rich so it contains salts such as Sodium, chloride and potassium. The concentration of each metabolite varies the general conductivity of sweat. The prototype will contain a temperature Detector, pH sensor and Galvanic Response sensor. Any abnormal change in temperature, pH and the conductivity of sweat indicates an underlying problem. Further the sensor is capable of detecting fluctuation in sodium ion concentration by measuring the changes in the voltage response. The device will use machine learning and IOT to come to a conclusion whether the user is in immediate danger or not and constantly display readings when the sensors come in contact with sweat.