EEG

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

Characterizing Two Hybrid Exercise-Cognitive Training Interventions With Neurophysiological and Behavioral Indexes in Post-Stroke Patients With Cognitive Dysfunction: A Randomized Controlled Trial
Characterizing Two Hybrid Exercise-Cognitive Training Interventions With Neurophysiological and Behavioral Indexes in Post-Stroke Patients With Cognitive Dysfunction: A Randomized Controlled Trial 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Combined exercise and cognitive training have been evidenced to be effective in cognitive and physical functions in post-stroke survivors. Recent interest has gradually shifted to technology-aided cognitive rehabilitation. However, clear… read more

Graph Neural Network-Based EEG Classification: A Survey
Graph Neural Network-Based EEG Classification: A Survey 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Graph neural networks (GNN) are increasingly used to classify EEG for tasks such as emotion recognition, motor imagery and neurological diseases and disorders. A wide range of methods have been…

read more

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…

read more

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…

read more

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,…

read more

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…

read more
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…

read more

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…

read more
Search this website