An Approach for Acquiring EEG/EMG Data Using AFE

This paper will draw attention towards diverse approaches for acquisition of Biometric signals (EEG/EMG waveforms). Sufficient level of quality of acquired signals is crucial for clinical diagnosis, neurological disorder investigation and for accurate and significant analysis. The task of acquiring these biometric signals is very time consuming, it is not easy to maintain the quality of signals (EMG/EEG/ECG/MEG) economically. Most of the present commercial systems of acquisition are expensive and bulk up in size. With the development of bio engineering and signal processing technologies, the application of EEG has not been limited to the field of diagnosis of brain diseases [4]. Furthermore, scientists have been trying to apply EEG for studying brain computer interface (BCI). So, the design and development of efficient, low power and reduced hardware acquisition system would be valuable for research applications. In the presented paper, the characteristics of EEG signals has been discussed which bring forth the need of designing and developing an acquisition system and artifacts associated with it. In this paper, the current state of the research field is presented and a system is proposed comprising of two modules: Analog Front End (AFE) module and MSP430 MCU.