# A Novel Battery-Supplied AFE EEG Circuit Capable of Muscle Movement Artifact Suppression
## 4 Simulation and Results: Comprehensive Analysis
### Comparative Analysis of the Simulated EEG-B3V57C2 with the Cases 1, 2, 3
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Requirements/ Specifications** & **Case “1” [47]** & **Case “2” [48]** & **Case “3” [49]** & \begin{tabular}{c} **Proposed Circuit** \\ **EEG Design** \\ \end{tabular} \\ \hline \begin{tabular}{c} Common Mode \\ Rejection Ratio (CMRR) \\ \end{tabular} & \textgreater{}120 dB & 140 dB & Estimated at 110 dB & \begin{tabular}{c} Greater than 90 dB \\ below 110 Hz \\ \end{tabular} \\ \hline \begin{tabular}{c} Circuit Bandwidth \\ \end{tabular} & 0.3 to 40 Hz & 3.5 MHz & 0.5 to 33.86 Hz & \begin{tabular}{c} 0.5 Hz to 48 kHz min \\ (0.5 Hz to 21 kHz min \\ 0 dB passband) \\ \end{tabular} \\ \hline \begin{tabular}{c} Signal Quality \\ and Noise) \\ \end{tabular} & \begin{tabular}{c} Gain: 25,000 V/V \\ \(\blacksquare\) \\ Noise: absence of noise data \\ \end{tabular} & \begin{tabular}{c} Gain: variable \\ 40.9 K to \\ 10,580 K V/V \\ Noise: \\ Noise: Nypp \\ Noise: absence of noise data \\ \end{tabular} & \begin{tabular}{c} Gain: 64,000 V/V \\ \(\blacksquare\) \\ Noise: Nypp \\ noise in 0.1 Hz \\ to 10 Hz \\ to 10 Hz \\ 50 mV before \\ \end{tabular} & \begin{tabular}{c} Gain: 300 V/V \\ \(\blacksquare\) \\ Noise: VPp noise \\ in 0.1 Hz to 10 Hz \\ \(\blacksquare\) \\ \end{tabular} & \
\begin{tabular}{c} Gain: 300 V/V \\ \(\blacksquare\) \\ error: 0.74\% \\ post-amplification \\ error: 1.75\% \\ Notch depth: \\ \end{tabular} &
\begin{tabular}{c} Gain: 300 V/V \\ \(\blacksquare\) \\ Noise: VPp noise \\ in 0.1 Hz to 10 Hz \\ is 1.4887 \(\upmu\)Vrms \\ before \\ amplification \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Comparison of requirements and specifications of the performed simulations. bandwidth, as it is known, they practically work as low-pass filters in higher frequencies (usually MHz order of magnitude), because of the internal junction capacitances. So, the comparison of Case \"2\" [48] bandwidth with the bandwidths of Case \"1\" [47] and \"3\" [49], respectively, is valid and relevant in the context of EEG signal acquisition circuits. Finally, considering signal quality, all circuits have excellent gains for the respective use cases, with Case \"2\" [48] having the strong advantage that it possesses the ability for programmable gain. In this work, this was a characteristic that was not a priority to be used in the present study, but programmable gain will be one of the design priorities in the future iterations of this circuit that are being worked upon by the authors. As far as noise is concerned and its effect on signal quality, Case \"2\" [48] has the best performance, with the proposed circuit design being second but in close proximity with the first in noise performance. In both cases, the noise level is acceptable. Case \"3\" [49] choose a non-standard format for presenting their result, and accordingly, it cannot be directly compared with the other cases. However, it can be stated that error pre-amplification at a level of around 1% is acceptable for certain types of applications. The use of this circuit should be contained only in those cases that are stated in the respective paper, if the user wants guarantees of accuracy in the signal acquisition process. Case \"1\" [47] does not provide relevant information for the noise level. Lastly, Case \"1\" [47] and the proposed novel design of this study achieve the same notch depth, while Case \"3\" [49] does not state notch depth data, and Case \"2\" [48] does not perform notch filtering at all. The simulation results and comparison between Case \"1\" [47], Case \"2\" [48] and Case \"3\" [49] with the proposed circuit design are presented in Table 2.  
At this point, a comparative analysis of Case \"1\" [47], Case \"2\" [48] and Case \"3\" [49] will be conducted in contrast with the proposed circuit design innovations. Specifically, the proposed circuit EEG design has a series of innovations that overcome the various limitations observed.