Featured Articles

CMAP Scan Examination of the First Dorsal Interosseous Muscle after Spinal Cord Injury
Author(s)3: Ya Zong, Zhiyan Lu, Maoqi Chen, Xiaoyan Li, Argyrios Stampas, Lianfu Deng, Ping Zhou
CMAP Scan Examination of the First Dorsal Interosseous Muscle after Spinal Cord Injury 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

The study assessed motor unit loss in muscles paralyzed by spinal cord injury (SCI) using a novel compound muscle action potential (CMAP) scan examination. The CMAP scan of the first…

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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…

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Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions from Limited Data
Author(s)3: 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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Alterations in Muscle Networks in the Upper Extremity of Chronic Stroke Survivors
Author(s)3: Michael Houston, Xiaoyan Li, Ping Zhou, Sheng Lia, Jinsook Roh, Yingchun Zhang
Alterations in Muscle Networks in the Upper Extremity of Chronic Stroke Survivors 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Muscle networks describe the functional connectivity between muscles quantified through the decomposition of intermuscular coherence (IMC) to identify shared frequencies at which certain muscles are co-modulated by common neural input.…

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FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Author(s)3: Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This work is motivated by the recent advances in Deep Neural Networks (DNNs) and their widespread applications in human-machine interfaces. DNNs have been recently used for detecting the intended hand…

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Mechanically assisted neurorehabilitation: a novel six-bar linkage mechanism for gait rehabilitation
Author(s)3: Mi Li, Jianqiang Yan, Haiming Zhao, Guozhi Ma, Yihang Li
Mechanically assisted neurorehabilitation: a novel six-bar linkage mechanism for gait rehabilitation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Repeated and intensive gait training can improve muscle strength and movement coordination of patients with neurological or orthopedic impairments. However, conventional physical therapy by a physiotherapist is laborious and expensive.…

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Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings
Author(s)3: Xinyu Jiang, Xiangyu Liu, Jiahao Fan, Xinming Ye, Chenyun Dai, Edward A. Clancy, Metin Akay, Wei Chen
Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

We provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG) Recordings (named “Hyser”), a toolbox for neural interface research, and benchmark results for pattern recognition and EMG-force applications.…

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Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data
Author(s)3: Nader Naghavi, Eric Wade
Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data 1024 371 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

The freezing of gait (FoG) is a common type of motor dysfunction in advanced Parkinson’s disease (PD) associated with falls. Over the last decade, a significant amount of studies has…

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Systematic Variation of Prosthetic Foot Spring Affects Center-of-Mass Mechanics and Metabolic Cost During Walking
Author(s)3: Karl E. Zelik, Steven H. Collins, Peter G. Adamczyk, Ava D. Segal, Glenn K. Klute, David C. Morgenroth, Michael E. Hahn, Michael S. Orendurff, Joseph M. Czerniecki, Arthur D. Kuo
Systematic Variation of Prosthetic Foot Spring Affects Center-of-Mass Mechanics and Metabolic Cost During Walking 1264 855 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Lower-limb amputees expend more energy to walk than non-amputees and have an elevated risk of secondary disabilities. Insufficient push-off by the prosthetic foot may be a contributing factor. We aimed…

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Experimental results using force-feedback cueing in robot-assisted stroke therapy
Author(s)3: Michelle J. Johnson, H. F. Machiel Van der Loos, C.G. Burgar
Experimental results using force-feedback cueing in robot-assisted stroke therapy 512 245 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:Stroke is the leading cause of disability among adults in the United States. Behaviors such as learned nonuse hinder hemiplegic stroke survivors from the full use of both arms in…

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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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