Analysis of Vital Signals Acquired from Wearable Device

Abstract

Conventional vital signal acquisition systems use external sensors and peripheral devices for the collection of data. The mobility of a subject is limited while monitoring the vital physiological parameters of that subject. These systems tend to be bulky and also expensive. In this paper, we have designed and developed a low-cost wireless wearable vital signal acquisition system with an activity tracker to monitor and analyze physiological parameters such as electrocardiogram (ECG), photoplethysmography (PPG), galvanic skin response (GSR), body temperature based on the wearer’s activity. The data is acquired from sensors using Arduino board. The acquired signals are then processed and analyzed in real time to identify the relationship between the physiological parameters. The processing of signals includes denoising, motion artifact removal, trend analysis, parameter retrieval. The retrieved parameters are heart rate, pulse rate, HRV, and sleep cycles. Activity monitoring and eHealth monitoring are the common applications of the designed device. Conventional systems record the signals and do not perform analysis on them. Here, we perform analysis of physiological signals which provide information about early onset of chronic diseases. Thus, the system helps in maintaining a healthy lifestyle by keeping away from the chronic diseases.