http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
딥러닝 기반 EEG-to-fMRI 생성에 관한 예비연구
이규석(Gyuseok Lee),마히마 아리아(Arya Mahima),앙드레 브레흐만(Andre Brechmann),요르그 스타들러(Jorg Stadler),장용준(Yongjun Chang),유원상(Wonsang You) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.11
Electroencephalography (EEG) measures the electrophysiological activity of the brain, while functional magnetic resonance imaging (fMRI) detects changes in blood flow in the brain. Recently, multimodal brain imaging where both modalities are simultaneously taken and jointly analyzed has increasingly attracted for neuroscientific research. However, its use is still limited due to the cost of the technology and difficulties in integrating forms. In this paper, we report our pilot study on generating fMRI data from EEG using deep learning. We trained U-net for generating fMRI data from EEG, and evaluated the accuracy of predicted fMRI data compared to ground truth quantitatively and qualitatively. Although our study is still ongoing, it exhibits the feasibility and applicability of EEG-to-fMRI synthesis technology for neuroscientific research based on multi-modal imaging.