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Real-time, precise, rapid and objective visual acuity assessment by self-adaptive step SSVEPs

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. This study aimed to explore an online, real-time, and precise method to assess steady-state visual evoked potential (SSVEP)-based visual ac......

Mental workload classification based on ignored auditory probes and spatial covariance

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Estimation of mental workload (MWL) levels by electroencephalography (EEG)-based mental state monitoring systems has been widely explored. ......

Hybrid asynchronous brain-computer interface for yes/no communication in patients with disorders of consciousness

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (5)

Objective. For patients with disorders of consciousness (DOC), such as vegetative state (VS) and minimally conscious state (MCS), communication is cha......

Two-branch 3D convolutional neural network for motor imagery EEG decoding

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. The original motor imagery electroencephalography (MI-EEG) data contains not only temporal features but also a large number of spatial feat......

Two-photon calcium imaging of neuronal and astrocytic responses: the influence of electrical stimulus parameters and calcium signaling mechanisms

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Electrical brain stimulation has been used to ameliorate symptoms associated with neurologic and psychiatric disorders. The astrocytic acti......

Online detection of class-imbalanced error-related potentials evoked by motor imagery

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Error-related potentials (ErrPs) are spontaneous electroencephalogram signals related to the awareness of erroneous responses within brain ......

A hybrid method for real-time stimulation artefact removal during functional electrical stimulation with time-variant parameters

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. In this study, a hybrid method combining hardware and software architecture is proposed to remove stimulation artefacts (SAs) and extract t......

Cortico-muscular functional network: an exploration of cortico-muscular coupling in hand movements

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. The main objective of this research was to study cortico-muscular, intra-cortical, and inter-muscular coupling. Herein, we established a co......

Inter-stimulus phase coherence in steady-state somatosensory evoked potentials and its application in improving the performance of single-channel MI-BCI

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. With the development of clinical applications of motor imagery-based brain-computer interfaces (MI-BCIs), a single-channel MI-BCI system th......

Online recognition of handwritten characters from scalp-recorded brain activities during handwriting

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Brain-computer interfaces aim to build an efficient communication with the world using neural signals, which may bring great benefits to hu......

Decoding imagined speech from EEG signals using hybrid-scale spatial-temporal dilated convolution network

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Directly decoding imagined speech from electroencephalogram (EEG) signals has attracted much interest in brain-computer interface applicati......

Distinguishable spatial-spectral feature learning neural network framework for motor imagery-based brain-computer interface

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Spatial and spectral features extracted from electroencephalogram (EEG) are critical for the classification of motor imagery (MI) tasks. As......

A novel decoding method for motor imagery tasks with 4D data representation and 3D convolutional neural networks

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Motor imagery electroencephalography (MI-EEG) produces one of the most commonly used biosignals in intelligent rehabilitation systems. The ......

Implementing a calibration-free SSVEP-based BCI system with 160 targets

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (4)

Objective. Steady-state visual evoked potential (SSVEP) is an essential paradigm of electroencephalogram based brain-computer interface (BCI). Previou......

Waveform feature extraction and signal recovery in single-channel TVEP based on Fitzhugh-Nagumo stochastic resonance

期刊: JOURNAL OF NEURAL ENGINEERING, 2021; 18 (5)

Objective. Transient visual evoked potential (TVEP) can reflect the condition of the visual pathway and has been widely used in brain-computer interfa......

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