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Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving 488 471 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving
Author(s): Hongtao Wang, Xucheng Liu, Hongying Hu, Feng Wan, Ting Li, Lingyun Gao, Anastasios Bezerianos, Yu Sun, Tzyy-Ping Jung

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.

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Learning, Generalization, and Scalability of Abstract Myoelectric Control 451 651 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Learning, Generalization, and Scalability of Abstract Myoelectric Control
Author(s): Matthew Dyson, Sigrid Dupan, Hannah Jones, Kianoush Nazarpour

Motor learning-based methods offer an alternative paradigm to machine learning-based methods for controlling upper-limb prosthetics. Within this paradigm, the patterns of muscular activity used for control can differ from those which control biological limbs.

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Evaluating Auditory Neural Activities and Information Transfer Using Phase and Spike Train Correlation Algorithms 759 685 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Evaluating Auditory Neural Activities and Information Transfer Using Phase and Spike Train Correlation Algorithms
Author(s): Na Zhu, Hao Luo, Jinsheng Zhang

The coherence of neural activities among different areas in the brain has received great attention because it is valuable in understanding the functional mechanism of brain structures. While many methodologies, such as time-frequency and entropy analysis, have been applied to evaluate relations between neural signals, these techniques haven’t been effective in assessing neural communication in order to reach conclusions.

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Adaptive Spatial Filtering of High-Density EMG for Reducing the Influence of Noise and Artefacts in Myoelectric Control 847 405 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Adaptive Spatial Filtering of High-Density EMG for Reducing the Influence of Noise and Artefacts in Myoelectric Control
Author(s): Martyna Stachaczyk, S. Farokh Atashzar, Dario Farina

Electromyography (EMG) is a source of neural information for controlling neuroprosthetic devices. To enhance the information content of conventional bipolar EMG, high-density EMG systems include tens to hundreds of closely spaced electrodes that non-invasively record the electrical activity of muscles with high spatial resolution.

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Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach 874 501 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach
Author(s)3: Guangyu Jia, Hak-Keung Lam, Shichao Ma, Zhaohui Yang, Yujia Xu, Bo Xiao

Understanding and classifying electromyogram (EMG) signals is of significance for dexterous prosthetic hand control, sign languages, grasp recognition, human-machine interaction, etc.. The existing research of EMG-based hand gesture classification faces…

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Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs 563 578 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
Author(s)3: Samuel Laferrière, Marco Bonizzato, Sandrine L. Côté, Numa Dancause, Guillaume Lajoie

The development of neurostimulation techniques to evoke motor patterns is an active area of research. It serves as a crucial experimental tool to probe computation in neural circuits, and has…

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Wearable Sensors Quantify Mobility in People With Lower Limb Amputation During Daily Life 784 423 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Wearable Sensors Quantify Mobility in People With Lower Limb Amputation During Daily Life
Author(s)3: Jay Kim, Natalie Colabianchi, Jeffrey P. Wensman, Deanna H. Gates

It is necessary to effectively assess functional mobility for appropriate prosthetic prescription and post-amputation rehabilitation. As part of this process, patients’ ability for variable cadence and community ambulation are assessed…

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Social Human-Robot Interaction for Gait Rehabilitation 842 452 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Social Human-Robot Interaction for Gait Rehabilitation
Author(s)3: Nathalia Céspedes, Marcela Múnera, Catalina Gómez, Carlos A. Cifuentes

Robot-assisted therapy for gait rehabilitation of patients with neurological disorders usually combines a body weight support system with a treadmill system. Lokomat is one of the most used devices for…

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Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces 1281 545 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Author(s)3: Wen Zhang, Dongrui Wu

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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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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