EEG_FACT

KO | EN

gitlite — search

#javascript #typescript #go #golang #deep-learning #linux #docker #macos #java #cli #vue #pytorch #openai #open-source

(★ 13)

No description available.

EEG_FACT Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# FACT-Net: a Frequency Adapter CNN with Temporal-periodicity Inception for Fast and Accurate MI-EEG Decoding

## Model

![Network Architecture](https://raw.githubusercontent.com/Ktn1ga/EEG_FACT/master/fig/Fig_ALL.png)

## Requirements
- Python 3.10
- Pytorch 1.13

## Citation
Hope this code can be useful. If you use this code in a scientific publication, please cite us as:

```
@ARTICLE{FACTNet4MIEEG,
  author={Ke, Sixiong and Yang, Banghua and Qin, Yiyang and Rong, Fenqi and Zhang, Jiayang and Zheng, Yanyan},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering}, 
  title={FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding}, 
  year={2024},
  volume={32},
  number={},
  pages={4131-4142},
  keywords={Feature extraction;Electroencephalography;Frequency-domain analysis;Decoding;Accuracy;Discrete Fourier transforms;Convolutional neural networks;Brain modeling;Convolution;Motors;Brain-computer interface (BCI);motor-imagery (MI);convolutional neural networks (CNN);electroencephalogram (EEG);frequency domain analysis},
  doi={10.1109/TNSRE.2024.3499998}}
```

<!-- ## Datasets
- Dataset A: SHU_dataset

- [Dataset B: BCI_competition_IV2a](https://www.bbci.de/competition/iv/) (cross session) -->

<!-- ## Result
Result of Dataset A

![Result of Dataset A](https://raw.githubusercontent.com/Ktn1ga/EEG_FACT/master/fig/result_A.png)

Result of Dataset B

![Result of Dataset B](https://raw.githubusercontent.com/Ktn1ga/EEG_FACT/master/fig/result_B.png) -->

EEG_FACT

EEG_FACT Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

EEG_FACT

EEG_FACT Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README