Featured Articles

Plane Dependent Subject-Specific Neuromuscular Training for Knee Rehabilitation
Author(s)3: Song Joo Lee, Yupeng Ren, Alison H. Chang, Joel M. Press, Marc C. Hochberg, Li-Qun Zhang
Plane Dependent Subject-Specific Neuromuscular Training for Knee Rehabilitation 920 724 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Knee injuries at risk of post-traumatic knee osteoarthritis (PTOA) and knee osteoarthritis (OA) are closely associated with knee transverse plane and/or frontal plane instability and excessive loading. However, most existing training and rehabilitation devices involve mainly movements in the sagittal plane. read more

Pneumatic AFO Powered by a Miniature Custom Compressor for Drop Foot Correction
Author(s)3: Sangjoon Jonathan Kim, Youngjin Na, Dong Yeon Lee, Handdeut Chang, Jung Kim
Pneumatic AFO Powered by a Miniature Custom Compressor for Drop Foot Correction 836 671 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
For active AFO applications, pneumatic remote transmission has advantages in minimizing the mass and complexity of the system due to the flexibility in placing pneumatic components and providing high back-drivability via simple valve control. read more

The Uncontrolled Manifold Theory Could Explain Part of the Inter-Trial Variability of Knee Contact Force During Level Walking
Author(s)3: Bart C. van Veen, Claudia Mazza, Marco Viceconti
The Uncontrolled Manifold Theory Could Explain Part of the Inter-Trial Variability of Knee Contact Force During Level Walking 626 746 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Accurate predictions of joint contact forces through computer simulation of musculoskeletal dynamics can provide insight, in a non-invasive manner, into the joint loads of patients with osteoarthritis and healthy controls. read more

Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review
Author(s)3: David Pinto-Fernandez, Diego Torricelli, Maria del Carmen Sanchez-Villamanan, Felix Aller, Katja Mombaur, Roberto Conti, Nicola Vitiello, Juan C. Moreno, Jose Luis Pons
Performance Evaluation of Lower Limb Exoskeletons: A Systematic Review 776 655 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Benchmarks have long been used to verify and compare the readiness level of different technologies in many application domains. In the field of wearable robots, the lack of a recognized benchmarking methodology is one important impediment that may hamper the efficient translation of research prototypes into actual products. 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

Learning, Generalization, and Scalability of Abstract Myoelectric Control
Author(s)3: Matthew Dyson, Sigrid Dupan, Hannah Jones, Kianoush Nazarpour
Learning, Generalization, and Scalability of Abstract Myoelectric Control 451 651 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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. read more

Evaluating Auditory Neural Activities and Information Transfer Using Phase and Spike Train Correlation Algorithms
Author(s)3: Na Zhu, Hao Luo, Jinsheng Zhang
Evaluating Auditory Neural Activities and Information Transfer Using Phase and Spike Train Correlation Algorithms 759 685 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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. read more

Adaptive Spatial Filtering of High-Density EMG for Reducing the Influence of Noise and Artefacts in Myoelectric Control
Author(s)3: Martyna Stachaczyk, S. Farokh Atashzar, Dario Farina
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)
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. read more

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
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)

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
Author(s)3: Samuel Laferrière, Marco Bonizzato, Sandrine L. Côté, Numa Dancause, Guillaume Lajoie
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs 563 578 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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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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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