Electroencephalography

Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation

Author(s): Guangyi Zhang, Ali Etemad
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Driver vigilance estimation is an important task for transportation safety. Wearable and portable brain-computer interface devices provide a powerful means for real-time monitoring of the vigilance level of drivers to…

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Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions from Limited Data

Author(s): Marko Angjelichinoski, Mohammadreza Soltani, John Choi, Bijan Pesaran, Vahid Tarokh
Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions from Limited Data 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Non-parametric regression has been shown to be useful in extracting relevant features from Local Field Potential (LFP) signals for decoding motor intentions. Yet, in many instances, brain-computer interfaces (BCIs) rely…

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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): 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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Estimating Fugl-Meyer Upper Extremity Motor Score From Functional-Connectivity Measures

Author(s): Nader Riahi, Vasily A. Vakorin, Carlo Menon
Estimating Fugl-Meyer Upper Extremity Motor Score From Functional-Connectivity Measures 804 581 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Fugl-Meyer assessment is an accepted method of evaluating motor function for people with stroke. A challenge associated with this assessment is the availability of trained examiners to carry out the…

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Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students

Author(s): Oleksii Komarov, Li-Wei Ko, Tzyy-Ping Jung
Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students 651 619 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

University students are routinely influenced by a variety of natural stressors and experience irregular sleep-wake cycles caused by the necessity to trade sleep for studying while dealing with academic assignments.…

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Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering

Author(s): Ji-Hoon Jeong, No-Sang Kwak, Seong-Whan Lee, Cuntai Guan
Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering 1610 928 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

An important challenge in developing a movement-related cortical potential (MRCP)-based brain-machine interface (BMI) is an accurate decoding of the user intention for real-world environments. However, the performance remains insufficient for…

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From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes

From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes

Author(s): Rober Boshra, Kiret Dhindsa, Omar Boursalie, Kyle I. Ruiter, Ranil Sonnadara, Reza Samavi, Thomas E. Doyle, James P. Reilly, John F. Connolly
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

         There has been increased effort to understand the neurophysiological effects of concussion aimed to move diagnosis and identification beyond current subjective behavioral assessments that suffer from poor sensitivity. Recent…

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Mining Within-Trial Oscillatory Brain Dynamics to Address the Variability of Optimized Spatial Filters

Mining Within-Trial Oscillatory Brain Dynamics to Address the Variability of Optimized Spatial Filters

Author(s): Andreas Meinel, Henrich Kolkhorst, Michael Tangermann
Mining Within-Trial Oscillatory Brain Dynamics to Address the Variability of Optimized Spatial Filters 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

   Data-driven spatial filtering algorithms optimize scores, such as the contrast between two conditions to extract oscillatory brain signal components. Most machine learning approaches for the filter estimation, however, disregard…

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Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data

Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke

Author(s): Shi-Chun Bao, Wan-Wa Wong, Thomas Wai Hong Leung, Kai-Yu Tong
Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    High-definition transcranial direct current stimulation (HD-tDCS) is a potential neuromodulation apparatus for stroke rehabilitation. However, its modulatory effects in stroke subjects is still not well understood. In this paper,…

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Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data

Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data

Author(s): Shuting Sun, Xiaowei Li, Jing Zhu, Ying Wang, Rong La, Xuemin Zhang, Liuqing Wei, Bin Hu
Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

        Existing studies have shown functional brain networks in patients with major depressive disorder (MDD) have abnormal network topology structure. But the methods to construct brain network still exist some…

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