Motor imagery (MI)

A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection

A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel electroencephalogram (EEG) recording devices, during which the pre-experimental preparation and post-experimental… read more

FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding

FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy,… read more

Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification

Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery refers to the brain’s response during the mental simulation of physical activities, which can be detected through electroencephalogram (EEG) signals. However, EEG signals exhibit a low signal-to-noise ratio… read more

A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery

Author(s)3: Susanna Yu. Gordleeva, Victor B. Kazantsev, Alexander E. Hramov, Alexander Ya. Kaplan, Natalia N. Shusharina, Anna Udoratina, Maksim V. Lukoyanov, Andrey O. Savosenkov, Nikita A. Grigorev
A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery 535 480 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

In this study, we address the issue of whether vibrotactile feedback can enhance the motor cortex excitability translated into the plastic changes in local cortical areas during motor imagery (MI)…

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