Nanocomposite-Based Electrode Structures for EEG Signal Acquisition

Objective: To fabricate a lightweight, breathable, comfortable, and able to contour the curvilinear body shape, electrodes built on flexible substrate are significant growth in wearable health monitoring. This research aims create GNP/FE electrode-based EEG signal acquisition system that is both efficient inexpensive. Methodology: Three distinct electrode concentrations were developed for acquisition, three (1.5:1.5, 2:1, 3:0). The high strength-to-weight ratio form tribofilm fabrication of will provide good efficiency. first subjected wavelet transform, which serves as preliminary analysis. use biopotential signals systems biofeedback or control commands expected substantially impact point-of-care monitoring systems, rehabilitation devices, human–computer/machine interfaces (HCI/HMI), brain–computer (BCIs). graphene oxide (GO), glycerol (GL), polyvinyl alcohol (PVA) GO/GL/PVA plastic measured compared commercially available using biopic equipment. was detect satisfactorily after being used two months, demonstrating conductivity lower noise than commercial electrode. nanocomposite mixture put into mold soon it ready then rapidly chilled. Results: quality an acquired could be several ways including by its error percentage, correlation coefficient, signal-to-noise (SNR). fabricated yield detection ranged from 0.81 kPa−1 % 34.90 kPa−1%. performance estimated up response 54 ms. Linear heating at rate 40 °C per minute implemented sample ranges 0 240 °C. During testing analysis, obtained low impedance with when conventional wet type Conclusions: A large database frequently all simulated MATLAB code. Through experiment, required data collected, checked against other signals, proven they accurate representations intended database. Evidence suggests nanoplatelets (GNP) hematite (FE2O3) polyvinylidene fluoride (PVDF) GNP/FE2O3@PVDF 3:0 concentration yielded best outcomes.