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m-granat/cnn-for-eeg-tsc

Electroencephalography (EEG) is an effective and non-invasive way to capture electric activity of the brain. EEG time series classification is a very important problem in neuroscience as a lot of EEG practical applications, such as medical diagnostics and brain–computer interfaces, depend on the quality of classification results. Several effective classification methods that use deep neural networks were developed in recent years, and convolutional neural networks (CNN) have shown exceptional re

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模型任务类型Accuracy
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知识图谱

任务
Attention
论文
暂无
算法
LDARFSVM
应用
Attention research

相似数据集

OpenNeuro ds00178761.9 · exact task-category matchDriver fatigue EEG dataset58.7 · exact task-category matchChris-Winnard/DAAMEE-experiment46.0 · exact task match

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