Brain-computer interfaces

An Adaptive Hybrid Brain Computer Interface for Hand Function Rehabilitation of Stroke Patients
An Adaptive Hybrid Brain Computer Interface for Hand Function Rehabilitation of Stroke Patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery (MI) based brain computer interface (BCI) has been extensively studied to improve motor recovery for stroke patients by inducing neuroplasticity. However, due to the lower spatial resolution and… 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,…

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Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Author(s)3: Wen Zhang, Dongrui Wu
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces 1281 545 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Transfer learning makes use of data or knowledge in one problem to help solve a different, yet related, problem. It is particularly useful in brain-computer interfaces (BCIs), for coping with…

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Compact and Low-Power Neural Spike Compression Using Undercomplete Autoencoders
Author(s)3: Jameson Thies, Amirhossein Alimohammad
Compact and Low-Power Neural Spike Compression Using Undercomplete Autoencoders 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Implantable microsystems that collect and transmit neural data are becoming very useful entities in the field of neuroscience. Limited by high data rates, on-chip compression is often required to transmit…

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Comparison of average ERD/ERS of younger and older participants in the alpha-beta frequency band (8–26 Hz).

Age-Related Changes in Vibro-Tactile EEG Response and Its Implications in BCI Applications: A Comparison Between Older and Younger Populations
Author(s)3: Mei Lin Chen, Dannie Fu, Jennifer Boger, Ning Jiang
Age-Related Changes in Vibro-Tactile EEG Response and Its Implications in BCI Applications: A Comparison Between Older and Younger Populations 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    The rapid increase in the number of older adults around the world is accelerating research in applications to support age-related conditions, such as brain–computer interface (BCI) applications for post-stroke…

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Neurofeedback Control in Parkinsonian Patients Using Electrocorticography Signals Accessed Wirelessly With a Chronic, Fully Implanted Device

Neurofeedback Control in Parkinsonian Patients Using Electrocorticography Signals Accessed Wirelessly With a Chronic, Fully Implanted Device
Author(s)3: Preeya Khanna, Nicole C. Swann, Coralie de Hemptinne, Svjetlana Miocinovic, Andrew Miller, Philip A. Starr, Jose M. Carmena
Neurofeedback Control in Parkinsonian Patients Using Electrocorticography Signals Accessed Wirelessly With a Chronic, Fully Implanted Device 638 477 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

       Parkinson’s disease (PD) is characterized by motor symptoms such as rigidity and bradykinesia that prevent normal movement. Beta band oscillations (13-30 Hz) in neural local field potentials (LFPs) have…

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