BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding

BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding

Motor imagery (MI) electroencephalograms (EEGs) are pivotal cortical potentials reflecting cortical activity during imagined motor actions, widely leveraged for brain-computer interface (BCI) system development. However, effectively decoding these MI EEG signals is often overshadowed by flawed metho...

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Bibliographic Details
Main Authors: Muhammad Zulkifal Aziz, Xiaojun Yu, Xinran Guo, Xinming He, Binwen Huang, Zeming Fan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
electroencephalography (EEG)
motor imagery
computer-aided diagnosis
biomedical signal processing
Online Access:https://www.mdpi.com/1424-8220/25/15/4657
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