Design and development of an Internet-of things enabled wearable EXG measuring system with a novel signal processing algorithm for electrocardiogram

Abstract

In this article, the design and development aspects of a compact bio-potential measuring system, named ExGSense, is presented. Two versions of the prototype have been developed; first one can measure 3 + 1 V leads in time-multiplexed fashion, while the other can measure 3 + 1 V leads simultaneously. This article also presents an efficient algorithm for filtering electrocardiogram signals which is required to attenuate the effect of motion artefacts which are inevitable in wearable systems. Further, a user-friendly interface for PC and smartphone has also been developed. By the virtue of an ultra-low noise instrumentation amplifier and the programmability of gain and bandwidth of the bio-signal measuring system, a number of other bio-potential signals like EMG, EOG and EEG have been successfully recorded using disposable, off-the-shelf wet Ag/AgCl electrodes.