Exploring the Frontier of Electrocardiogram Analysis Using rGO Nanoelectrodes

Abstract

T he growing popularity of long-term, continuous, and unsupervised tracking of human physiological data for health care monitoring and preventive treatment has made biomedical applications of nanotechnology a major research focus. Generally, the monitoring and prevention of diseases in humans is performed through the collection of biomedical data and signals. In current methodologies, the transducers used to acquire human physiological data do not perform to the desired standard. For example, the silver (Ag) electrodes used to acquire electrocardiogram (ECG) data introduce distortion along with the information. In the proposed work, reduced graphene oxide (rGO) nanoparticles were prepared through chemical reduction and characterized using field-emission scanning electron microscope (FE-SEM) and Raman analysis for biomedical applications. Subsequently, graphene nanoparticles-coated electrodes were fabricated and found to be suitable for obtaining human biomedical data for further analysis. A development board for ECG analysis was created, along with an android application, to monitor the performance of graphene nanoparticles coated electrodes in comparison to traditional electrodes. The comparison is performed in terms of the quality of the signal, the ratio of the signal to noise (SRN), and the impedance of the electrode to skin contact. Using Internet of Things (IoT), this monitoring can be done anytime and anywhere.