Task-State EEG Signal Classification for Spatial Cognitive Evaluation Based on Multiscale High-Density Convolutional Neural Network

• Hauptverfasser: Dong Wen (Verfasst von), Rou Li (Verfasst von), Hao Tang (Verfasst von), Yijun Liu (Verfasst von), Xianglong Wan (Verfasst von), Xianling Dong (Verfasst von), M. Iqbal Saripan (Verfasst von), Xifa Lan (Verfasst von), Haiqing Song (Verfasst von), Yanhong Zhou (Verfasst von)
• Format: Buch
• Veröffentlicht: IEEE, 2022-01-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before and after spatial cognitive training. Besides, the multi-dimensio...