Advancing research on odor-induced sweetness enhancement: A EEG local-global fusion transformer network for sweetness quantification combined with EEG technology DOI
Xiuxin Xia,

Yatao Cheng,

Z.G. Zhang

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 463, P. 141533 - 141533

Published: Oct. 5, 2024

Language: Английский

An EEG dataset for interictal epileptiform discharge with spatial distribution information DOI Creative Commons
Nan Lin, Mengxuan Zheng, Lian Li

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 7, 2025

Interictal epileptiform discharge (IED) and its spatial distribution are critical for the diagnosis, classification, treatment of epilepsy. Existing publicly available datasets suffer from limitations such as insufficient data amount lack information. In this paper, we present a comprehensive EEG dataset containing annotated interictal epileptic 84 patients, each contributing 20 minutes continuous raw recordings, totaling 28 hours. IEDs states consciousness (wake/sleep) were meticulously by at least three experts. The categorized into five types based on occurrence regions: generalized, frontal, temporal, occipital, centro-parietal. includes 2,516 IED epochs 22,933 non-IED epochs, 4 seconds long. We developed validated VGG-based model detection using dataset, achieving improved performance with inclusion and/or Additionally, our serves reliable test set evaluating comparing existing models.

Language: Английский

Citations

2

Advancing research on odor-induced sweetness enhancement: A EEG local-global fusion transformer network for sweetness quantification combined with EEG technology DOI
Xiuxin Xia,

Yatao Cheng,

Z.G. Zhang

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 463, P. 141533 - 141533

Published: Oct. 5, 2024

Language: Английский

Citations

4