EEG

A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Motor Imagery EEG Decoding
Author(s)3: Fangang Meng, Jingyu Liu, Lianghui Guo, Yang Li, Yu Liu
A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Motor Imagery EEG Decoding 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Motor imagery (MI) electroencephalography (EEG) decoding plays an important role in brain-computer interface (BCI), which enables motor-disabled patients to communicate with the outside world via external devices. Recent deep learning…

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Emotional Arousal and Valence Jointly Regulate the Auditory Response: A 40-Hz ASSR Study
Author(s)3: Ludan Zhang, Shuang Liu, Xiaoya Liua, Bo Zhangb, Xingwei An, Dong Ming
Emotional Arousal and Valence Jointly Regulate the Auditory Response: A 40-Hz ASSR Study 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Emotion is defined as a response to external stimuli and internal mental representations. It has been characterized as a multidimensional concept, primarily comprising two dimensions: valence and arousal. Existing studies…

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VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel
Author(s)3: Mohammad Shahbakhti, Matin Beiramvand, Mojtaba Nazari, Anna Broniec-Wójcik, Piotr Augustyniak, Ana Santos Rodrigues, Michal Wierzchon, Vaidotas Marozas
VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Objective: Recent advances in development of low-cost single-channel electroencephalography (EEG) headbands have opened new possibilities for applications in health monitoring and brain-computer interface (BCI) systems. These recorded EEG signals, however,…

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Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving
Author(s)3: Hongtao Wang, Xucheng Liu, Hongying Hu, Feng Wan, Ting Li, Lingyun Gao, Anastasios Bezerianos, Yu Sun, Tzyy-Ping Jung
Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving 488 471 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Although driving fatigue has long been recognized as one of the leading causes of fatal accidents worldwide, the underlying neural mechanisms remain largely unknown that impedes the developments of automatic detection techniques. read more
An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences

An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences
Author(s)3: Paula Gonzalez-Navarro, Yeganeh M. Marghi, Bahar Azari, Murat Akçakaya, Deniz Erdogmus
An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences 780 418 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     Electroencephalography (EEG) is an effective non-invasive measurement method to infer user intent in brain-computer interface (BCI) systems for control and communication, however, these systems often lack sufficient accuracy and…

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The CR in terms of radar plot representation of state-of-the-art compression algorithms tested in different experimental and standard online databases

Highly Efficient Compression Algorithms for Multichannel EEG
Author(s)3: Laxmi Shaw, Daleef Rahman, Aurobinda Routray
Highly Efficient Compression Algorithms for Multichannel EEG 780 339 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

   The difficulty associated with processing and understanding the high dimensionality of electroencephalogram (EEG) data requires developing efficient and robust compression algorithms. In this paper, different lossless compression techniques of…

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A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
Author(s)3: Stanislas Chambon, Mathieu N. Galtier, Pierrick J. Arnal, Gilles Wainrib, Alexandre Gramfort
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series 780 364 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of…

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Quantifying Nonlinear Contributions to Cortical Responses Evoked by Continuous Wrist Manipulation

Quantifying Nonlinear Contributions to Cortical Responses Evoked by Continuous Wrist Manipulation
Author(s)3: Martijn P. Vlaar, Teodoro Solis-Escalante, Alistair N. Vardy, Frans C. T. van der Helm, Alfred C. Schouten
Quantifying Nonlinear Contributions to Cortical Responses Evoked by Continuous Wrist Manipulation 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Cortical responses to continuous stimuli as recorded using either magneto- or electroencephalography (EEG) have shown power at harmonics of the stimulated frequency, indicating nonlinear behavior. Even though the selection of…

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Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG

Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG
Author(s)3: Duo Chen, Suiren Wan, Forrest Sheng Bao
Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Over the past decade, with the development of machine learning, Discrete Wavelet Transform (DWT) has been widely used in computer-aided epileptic EEG signal analysis as a powerful time-frequency tool. But…

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TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

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