Generative AI Enables the Detection of Autism Using EEG Signals

Li, Yisheng1,2; Liao, Iman Yi3; Zhong, Ning4; Toshihiro, Furukawa4; Wang, Yishan1; Wang, Shuqiang1

10.1007/978-981-99-8565-4_35

2023

17th Chinese Conference on Biometric Recognition (CCBR)

0302-9743

1611-3349

978-981-99-8564-7

BIOMETRIC RECOGNITION, CCBR 2023

14463

DEC 01-03, 2023

null,Xuzhou,PEOPLES R CHINA

152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE

SPRINGER-VERLAG SINGAPORE PTE LTD

In disease detection, generative models for data augmentation offer a potential solution to the challenges posed by limited high-quality electroencephalogram (EEG) data. The study proposes a temporal-spatial feature-aware denoising diffusion probabilistic model (DDPM), termed TF-DDPM, as an EEG time-series augmentation framework for autism research. The module for predicting noise is CCA-UNet based on the channel correlation-based attention (CCA) mechanism, which considers the spatial and temporal correlation between channels, and uses depthwise separable convolution instead of traditional convolution, thereby suppressing the interference from irrelevant channels. Visualization and binary classification results on synthetic signals indicate that proposed method generates higher quality synthetic data compared to Generative Adversarial Networks (GAN) and DDPM.

electroencephalogram (EEG) Denoising Diffusion Probability Model (DDPM) synthetic data

其他

英语

EI ; CPCI-S

National Natural Science Foundations of China[62172403]

Computer Science ; Mathematical & Computational Biology ; Imaging Science & Photographic Technology

Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Mathematical & Computational Biology ; Imaging Science & Photographic Technology

WOS:001160316100035

Web of Science

1.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, China
2.Southern University of Science and Technology, Shenzhen, China
3.University of Nottingham Malaysia Campus, Semenyih, Malaysia
4.Maebashi Institute of Technology, Maebashi, Japan

Li, Yisheng,Liao, Iman Yi,Zhong, Ning,et al. Generative AI Enables the Detection of Autism Using EEG Signals[C]. 152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE:SPRINGER-VERLAG SINGAPORE PTE LTD,2023.