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Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems

Author(s)3: Baekdong Cha, Kyung-hwan Lee, Jeha Ryu

Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts of a therapist due to advantages, such as intensive repetitive motions, economical therapy, and quantitative assessment of…

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CMAP Scan Examination of the First Dorsal Interosseous Muscle after Spinal Cord Injury 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

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

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 1024 371 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data

Author(s)3: Nader Naghavi, Eric Wade

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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