Synthetic EEG Signal Generator

10.0

EEG Signal Chart

Amplitude Control:

EEG Spectrum Chart

Bandwidth Control:

The Synthetic EEG Signal Generator is a web-based tool for generating artificial EEG signals for testing and evaluating various algorithms, devices, or theories related to electroencephalograms (EEG). This Flask-based application allows users to adjust parameters such as amplitude, bandwidth, and window size to create synthetic EEG signals and visualize their spectra.

Features

Overview

The synthetic EEG signal is generated by combining sinusoidal waves for different frequency bands (Delta, Theta, Alpha, Beta, Gamma) with adjustable amplitude and bandwidth parameters. The signal is then windowed to create segments of data for visualization and analysis.

The EEG spectrum is calculated using the Fast Fourier Transform (FFT) algorithm to convert the time-domain signal into the frequency domain. The resulting power spectrum shows the distribution of signal power across different frequency bands, which can be used to analyze the characteristics of the EEG signal.

Applications

Technical Details

The Synthetic EEG Signal Generator is built using the following technologies:

The Flask web application handles user requests and generates synthetic EEG signals based on the specified parameters. The backend code uses NumPy and SciPy libraries for signal processing and analysis, including generating sinusoidal waves, applying window functions, and calculating power spectra.

The application then generates a time series of synthetic EEG data and calculates the power spectrum for each frequency band using the Welch method. The generated data can be updated in real-time based on user input, providing a flexible tool for simulating EEG data.

Python is generating a random frequency within the specified frequency range for each EEG band (delta, theta, alpha, beta, gamma). Because this frequency is randomly chosen each time the function is run, the resulting synthetic EEG data will vary slightly with each execution. This is intended to simulate the natural variability seen in real EEG data.

The frontend interfaceis designed using HTML, CSS, and JavaScript to provide interactive controls and visualizations for the synthetic EEG signal and its power spectrum. The Plotly library is used to create dynamic charts that update in real-time as the user adjusts the parameters.

Limitations

Future Directions

References

Conclusion

The Synthetic EEG Signal Generator is a versatile tool for generating artificial EEG signals and visualizing their power spectra. By adjusting the amplitude, bandwidth, and window size parameters, users can create customized EEG signals for testing and research purposes. The real-time updates and interactive controls provide a dynamic experience for exploring different signal configurations and analyzing their characteristics. Whether you are studying brain activity, developing EEG-based technologies, or learning about signal processing, the synthetic EEG signal generator offers a valuable resource for simulating and analyzing EEG data.