Electroencephalography

A Functional Connectivity-Based Model with a Lightweight Attention Mechanism for Depression Recognition Using EEG signals
A Functional Connectivity-Based Model with a Lightweight Attention Mechanism for Depression Recognition Using EEG signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Numerous studies on depression recognition utilize attention mechanisms as tools for feature extraction. Applying the standard multi-head self-attention mechanism to the spatial domain of EEG data is a feasible approach… read more

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation
Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: The supervised decoding algorithms of Steady-State Visual Evoked Potentials (SSVEP) have achieved remarkable performance with sufficient training data. However, these methods have typically failed to achieve acceptable performance in… read more

Electrophysiological Evidence on Mirror Therapy for Promoting Perceptuo-Motor Processes in Stroke Patients
Electrophysiological Evidence on Mirror Therapy for Promoting Perceptuo-Motor Processes in Stroke Patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Mirror therapy is proposed to enhance post-stroke awareness of the affected limb and mental ability, but convincing evidence on the perceptuo-motor processes is insufficient. In this study, we aimed to… read more

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

Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface
Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Noninvasive augmented-reality (AR) brain-computer interfaces (BCIs) that use steady-state visually evoked potentials (SSVEPs) typically adopt a fully-autonomous goal-selection framework to control a robot, where automation is used to compensate for… 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

An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios
An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
SSVEP-based brain-computer interface (BCI) systems have received a lot of attention due to their relatively high Signal to Noise Ratio (SNR) and less training requirements. Most of the existing steady-state… read more

Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients
Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Stroke remains a leading cause of adult disability, underscoring why research continues to focus on advancing new treatment methods and neurophysiological indexes. While these studies may be effective, many lack… read more

Spatiotemporal Dynamics of Periodic and Aperiodic Brain Activity Under Peripheral Nerve Stimulation With Acupuncture
Spatiotemporal Dynamics of Periodic and Aperiodic Brain Activity Under Peripheral Nerve Stimulation With Acupuncture 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Brain activities are a mixture of periodic and aperiodic components, manifesting in the power spectral density (PSD) as rhythmic oscillations with spectral peaks and broadband fluctuations. Periodic oscillatory properties of… read more

AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging
AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The widespread prevalence of sleep problems in children highlights the importance of timely and accurate sleep staging in the diagnosis and treatment of pediatric sleep disorders. However, most existing sleep… read more
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