This repositry contains codes and datasets for eeg emotion detection.
- BC : Baseline Correction
- BR : Baseline Removal
- Tx : segment length is x seconds
- Ox : overlp is x seconds
- Grid : ToGrid()
- 2d : To2d()
- https://github.com/pytorch/vision/blob/main/references/detection/utils.py
- https://medium.com/@tczhangzhi/torcheeg-a-pytorch-lib-for-deep-eeg-analysis-a25ca12175e8
- https://satvikagnihotri12.medium.com/mental-emotional-sentiment-classification-using-machine-learning-and-an-electroencephalogram-eeg-3decf72339da
- https://arxiv.org/pdf/2401.18006v2
- https://github.com/hazdzz/ChebyNet/tree/main/model
- Why Baseline Correction [https://neuro.inf.unibe.ch/AlgorithmsNeuroscience/Tutorial_files/BaselineCorrection.html]
- https://www.youtube.com/watch?v=2wS7-XILNso
- Graph NN Theory [https://www.youtube.com/@FedericoBarbero00/]
- GAT NN [https://www.youtube.com/watch?v=iAEDA8aDCZg]
- GCN [https://medium.com/@jrosseruk/demystifying-gcns-a-step-by-step-guide-to-building-a-graph-convolutional-network-layer-in-pytorch-09bf2e788a51]