Tool to visualize epoched data in the time frequency domain. Functionality at this point includes:
- Time domain peak identification and extraction
- Time frequency decomposition using complex wavelet transform
- Extraction of ROIs of time frequency decomposition
- Experimental: Wavelet filter using non-parametric statistic testing
Requirements:
- Matlab 2020 or higher
- Signal Procesing Toolbox for Matlab
- EEGLab
Can be installed by downloading the current packaged "Brain Visualization Tool.mlappinstall" app and following this tutorial (https://www.mathworks.com/videos/packaging-and-installing-matlab-apps-101563.html)
With this app you can manually select and extract peaks in the time domain:
Perform time frequency decomposition of the signals using wavelet transforms:
Easily inspect diferent aspects of the wavelet transform like phase-locked, non-phase-locked, ITC, and manually extract regions of interest from any channel:
Experimental Feature: Wavelet-Assisted Reconstruction Method (WARM) filter: An adaptive wavelet filter used to identify significant features of your waveform based on non-parametric permutation testing.