Implementation of a New Versatile Bio-Potential Measurement System

Abstract

In this paper, a novel system for measuring bio-potentials, including electroencephalography (EEG), electrocardiography (ECG) and electromyography (EMG) signals, was implemented. This system is based on the high-precision (24-bit) analog front-end ADS1299 with eight input channels. The aim of this work is to provide a low-cost platform for researchers in neuroscience, brain–computer interfaces, ECG pattern recognition and myoelectric control for Robotic Hand-Assisted Training, etc. Compared to the existing systems, this design uses a module called ESP-WROOM-32 based on a 32-bit dual-core Xtensa LX6 microprocessor in which all control and communication functions have been integrated into a single package, giving the possibility to interface the system with the Raspberry Pi via the USB interface or via the wireless interface (Wi-Fi and Bluetooth). The paper presents a detailed study of the system in terms of hardware and software implementation. In addition, an experimental process has been conducted with the aim of evaluating the proposed prototype. With a common mode rejection ratio higher than 110[Formula: see text]dB and an input referred noise less than 2[Formula: see text][Formula: see text]V (peak-to-peak) as well as the good quality of the measured biopotentials during all the proposed scenarios, the model can be qualified to be functioning properly following the recommendations of the ADS1299 manufacturer. Finally, a conclusion is made to summarize the results achieved while highlighting the future study and the suggestions for improving the presented design.