Wearable ECG Devices: A State of the Art about Circuit, Software and Application

With the world's population aging and a greater focus on health in recent years, the implementation of everyday and wearable Electrocardiogram (ECG) signal detecting devices has become a hot issue. In terms of technology, the design solution should change depending on the application scenario and requirements. In this work, some fundamental investigations on front-end circuitry, chip selection, and algorithm application during back-end processing are introduced and analyzed. Specifically, this paper delves into certain common filter circuits and driven-right-leg circuit schematics in order to get enhanced front-end circuitry with lower noise and higher gain. Other optimization options, such as pseudo-ECG and chip selection, are also briefly discussed. Furthermore, this paper describes and contrasts a number of widely used algorithms for the back-end processing stage, which provides information obtained from ECG signals with varying degrees of accuracy and determines disease predictability. The applications based on wearable ECG devices are also discussed here. Hopefully, a well-designed ECG monitoring equipment may not only reliably and speedily record human body health parameters, but also assist doctors in diagnosing disease if necessary. With the description and analysis of substantial research presented in this work, it is believed that some future directions for wearable ECG device advancements can be identified.