## 4 Results and Discussion
### Tests with Five Male Subjects with Different Brain Activity Conditions  
The tests were carried out with five young participants in the age range of 19 to 25 years. EEG signals were monitored in real time. Five-minute sessions were conducted for each participant. Each section was divided into two phases; the first phase consisted of tracking the participant for 3 min in a state of concentration, and the second phase consisted of a period of 2 min in a state of relaxation. The data of the participants are shown in Table 3. \begin{table}
\begin{tabular}{l l l} \hline \hline
**Wave** & **Frequency** & **State** \\ \hline Gamma & 30–40 Hz & Concentration (problem resolution) \\ Beta & 14–30 Hz & Attentive vigil \\ Alpha & 7.5–14 Hz & Mental relaxation (rest) \\ Theta & 3.5–7.5 Hz & Meditation (light sleep) \\ Delta & 0.2–3.5 Hz & Deep sleep \\ \hline \hline \end{tabular}
\end{table} 
Table 2: EEG frequency bands and their relation to consciousness states. \begin{table}
\begin{tabular}{l l l} \hline \hline
**Patient** & **Gender** & **Health** \\ \hline Subject 1 & Male & Healthy \\ Subject 2 & Male & Healthy \\ Subject 3 & Male & Moderate stress \\ Subject 4 & Male & Moderate insomnia \\ Subject 5 & Male & Healthy \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Data from male participants using the Chameleon-1 helmet. The EEG signal processing in this study included a fourth-order Butterworth bandpass filter (0.5-60 Hz) to remove low-frequency drift and high-frequency noise along with an optional notch filter (50 Hz and 60 Hz) to eliminate power line interference. Furthermore, DC bias removal was achieved through common mode rejection (CMR) using the bias electrode as well as high-pass filtering (0.5 Hz cutoff) to eliminate slow drifts and offset, ensuring stable and high-quality EEG signal acquisition. * Subject 1  
First, the Chameleon-1 helmet is adjusted to the patient's skull, as seen in Figure 9a, and then the electrodes are adjusted at points \(F_{3}\) and \(F_{4}\) using the innovative movement mechanism of the Chameleon-1 helmet (see Figure 9b). In a time range (from 1 min to 2 min), normal voltage levels are observed at the points of interest; this is related to the previous information provided by the patient (without presenting levels of insomnia or stress), and this pattern can be observed in the OpenBCI program interface (see Figure 10). In the time series, a normal average voltage is observed in both channels (see Figure 10a), while Figure 10b shows the frequency spectrum. From the data acquired with the Chameleon-1 helmet, it is important to highlight that the patient exhibits an almost complete decrease in delta waves, approaching zero. Figure 10: _Cont._  
Figure 9: (**a**) Helmet placement, (**b**) start-up of tests with patient Subject 1. A clearer understanding can be achieved by classifying each of the obtained signals by frequency (alpha, beta, gamma, delta, and theta). This allows us to observe the predominance of gamma and beta waves as well as delta waves that are nearly absent (see Figure 10(a)). To monitor the two phases of the study (concentration and relaxation), the focus widget (default function) was used, and the results are shown in Figure 10(b). The patient was observed to have no difficulty maintaining an optimal state of concentration (with minor variations). Figure 11: (a) Band power, (b) focus widget of Subject 1. Figure 10: (a) Time series, (b) FFT plot of patient Subject 1. * Subject 2 The test performed above is applied to the following patient, Subject 2. The 10-20 system was applied to place the Chameleon-1 helmet (see Figure 12a). A previous evaluation was performed and the patient was shown to be in good health (without stress or insomnia). In these characteristics, the results of the test with Subject 2 showed similarity to the results of Subject 1. Figure 12b shows Subject 2 wearing the Chameleon while performing the experiments.