# A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression
## 6 Conclusions  
This study introduces a novel EEG Analog Front-End Circuit System, distinctively capable of monitoring theta, alpha and beta brain wavebands during challenging complex EEG usage protocols involving strong compound muscle movements. This capability, which is rarely studied in the field to the best of our knowledge, addresses a significant gap in existing EEG technologies. It is worth noting that by making the system capable of handling significant manipulation of muscle artifacts in raw EEG data, EEG analysis becomes more accurate and reliable. Taking into consideration the effects of environmental electromagnetic interference, our project presents an unprecedented development of a realistic electronic model of the human body and brain, which can handle 50 Hz or 60 Hz power grid EMI. More importantly, the GIGO problem must be minimized when evaluating such systems. Accurate, realistic and coherent input signals are needed for system evaluation, and this requirement can be achieved through advanced input signal modeling. Our approach, which maintains the consistency, accuracy and reliability of our simulation testing, is essential for increasing the credibility and efficiency of the projected EEG. The suggested circuit's primary characteristic is its high mobility, which is facilitated by a battery-powered configuration, allowing for application in a variety of scientific and industrial contexts. It covers a broad frequency spectrum, beginning with 0.5 Hz and reaching 48 kHz as the minimum contour's frequency. The 0 dB passband ensures a comprehensive compilation of all EEG signals, which falls between 0.5 Hz and 21 kHz. With the high amplification factor of 300 V/V, the signal may increase the signal amplitudes of EEG numerous times, and its high amplifications do not result in signal distortion. Furthermore, low levels of noise production, with a value of 1.58871 uVrms, ensure that the noise levels before amplification ranging between 0.1 Hz and 10 Hz are extremely low. Significantly enhancing the clarity and quality of raw EEG signal readings can be achieved by reducing noise levels and attaining a 48 dB notch depth at the correct frequency. The idea shows its potential for global acceptability by mitigating electromagnetic interference at frequencies of either 50 Hz or 60 Hz, depending on the particular power grid configurations in the region. The circuit follows EEG design principles by achieving a high Common Mode Rejection Ratio above 90 dB when subjected to EEG signals under 110 Hz in 60 Hz EMI environments and under 166 Hz in 50 Hz EMI environments. The design complies with the set requirements for medical equipment with respect to current levels and the leakage of current to ensure patient safety. Furthermore, the integration of a sub-circuit specifically engineered to mitigate the risk of electrostatic discharge amplifies the system's robustness and durability. To recapitulate, the aforementioned attributes lead to the production of results that are almost of medical caliber while necessitating a few electrical components. Importantly, the system retains its cost-effectiveness advantage by employing simple and minimal sub-circuits, deliberately avoiding complex and expensive techniques and maintaining the cost close to commercial and research-grade device levels. In summary, the system's capabilities are extensively validated through carefully crafted simulations, and its potential usage extends to advanced applications such as neurofeedback training and tele-controlling devices via Brain-Computer Interfaces, particularly in usage protocols where the novel device's users perform strong compound muscle movements.