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The codebase for a research project that uses common spatial patterns (CSP) filters to search for waveforms in epileptic Electrocorticographic (ECoG) signals that are discriminative of the preictal and interictal state.

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Code base for paper "Searching for waveforms in spatially-filtered epileptic ECoG", presented in the 10th International IEEE/EMBS Conference on Neural Engineering (NER).

BibTeX entry

@INPROCEEDINGS{9441220,  author={Mendoza-Cardenas, Carlos H. and Brockmeier, Austin J.},  booktitle={2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)},   title={Searching for waveforms on spatially-filtered epileptic ECoG},   year={2021},  volume={},  number={},  pages={403-406},  doi={10.1109/NER49283.2021.9441220}}

This work uses data sets and annotations from "Virtual resection predicts surgical outcome for drug-resistant epilepsy", by L.G. Kini et al. The corresponding author kindly gave us permission to put here the annotations (the DATA.json file in the annotations folder).

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The codebase for a research project that uses common spatial patterns (CSP) filters to search for waveforms in epileptic Electrocorticographic (ECoG) signals that are discriminative of the preictal and interictal state.

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