Welcome to the Joint Time-Frequency Scattering Tool for Seizure Detection. This application provides an interactive way to visualize and explore EEG data in both the time and frequency domains, helping users better understand complex signal patterns, including seizure-like activity. This tool is intended for those interested in EEG signal processing, neuroscience, or learning more about advanced seizure detection techniques.
How to Use This Tool:
1. Adjust the Scale Parameter: Use the slider labeled 'Scale Parameter' to control the window size used in the wavelet scattering transform. A larger scale parameter will produce a smoother transformed signal, emphasizing broader features in the EEG data and reducing high-frequency noise. This allows you to experiment with how different levels of smoothing can affect the detectability of patterns within the data, including possible seizure events.
2. Change EEG Data Length: The 'EEG Data Length' input box allows you to specify the number of EEG samples to generate. By increasing the data length, you can observe more extended periods of EEG activity, which may provide additional insights into recurring patterns or periodicity that are indicative of seizure activity. The longer sequence also allows for a more comprehensive analysis in the frequency domain.
3. Visual Representation: This tool provides two visual representations of the EEG data. The first chart shows the raw EEG signal alongside the wavelet scattering transform in the time domain. The blue line represents the original EEG signal, while the red line shows the scattering transform, which highlights different characteristics of the data by filtering and combining information at multiple scales. The second chart provides a frequency-domain analysis of the EEG data using the Fast Fourier Transform (FFT). This chart helps identify dominant frequency components, which can be important for identifying seizure-related patterns. The frequency-domain chart shows the raw EEG in blue and the transformed data in red, emphasizing changes in frequency content introduced by the scattering transform.
Application Overview:
The Joint Time-Frequency Scattering Tool is designed to enhance the detection of seizures by combining analysis in both time and frequency domains. Seizures often present as complex, non-stationary events in EEG recordings, and conventional methods might miss these subtle features. The wavelet scattering transform provides a way to decompose the EEG signal into different time-frequency components, revealing information that may be overlooked by simpler analysis methods.
This approach captures both high-frequency, localized features, such as the sharp spikes seen during seizures, as well as broader, low-frequency trends that are indicative of changes in overall brain activity. By interacting with the scale and data length parameters, you can observe how these features are highlighted or diminished, providing a clearer understanding of the signal characteristics related to seizure events.
Whether you are a researcher, student, or enthusiast, this tool helps bridge the gap between theory and application, making advanced EEG signal analysis accessible and engaging. It offers an opportunity to see in real time how adjustments in data processing affect the visualization and interpretation of EEG data, ultimately contributing to a better understanding of seizure phenomena and more effective detection methodologies.