Electromyography

Lower-Limb Myoelectric Calibration Postures for Transtibial Prostheses
Lower-Limb Myoelectric Calibration Postures for Transtibial Prostheses 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The use of an agonist-antagonist muscle pair for myoelectric control of a transtibial prosthesis requires normalizing the myoelectric signals and identifying their co-contraction signature. Extensive literature has explored the relationship… read more

EMG-based Multi-User Hand Gesture Classification via Unsupervised Transfer Learning Using Unknown Calibration Gestures
EMG-based Multi-User Hand Gesture Classification via Unsupervised Transfer Learning Using Unknown Calibration Gestures 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The poor generalization performance and heavy training burden of the gesture classification model contribute as two main barriers that hinder the commercialization of sEMG-based human-machine interaction (HMI) systems. To overcome… read more

Characterization of a Benchmark Database for Myoelectric Movement Classification
Author(s)3: Manfredo Atzori, Arjan Gijsberts, Ilja Kuzborskij, Simone Elsig, Anne-Gabrielle Mittaz Hager, Olivier Deriaz, Claudio Castellini, Henning Müller, Barbara Caputo
Characterization of a Benchmark Database for Myoelectric Movement Classification 532 302 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource that aims to support research…

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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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Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?
Author(s)3: Morten B. Kristoffersen, Andreas W. Franzke, Corry K. van der Sluis, Raoul M. Bongers, Alessio Murgia
Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands? 786 1000 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
When evaluating methods for machine-learning controlled prosthetic hands, able-bodied participants are often recruited, for practical reasons, instead of participants with upper limb absence (ULA). However, able-bodied participants have been shown to often perform myoelectric control tasks better than participants with ULA. 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
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Author(s)3: Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, Benoit Gosselin
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

        In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field…

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Graph Theory Analysis of Functional Connectivity in Major Depression Disorder with High-Density Resting State EEG data

Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke
Author(s)3: Shi-Chun Bao, Wan-Wa Wong, Thomas Wai Hong Leung, Kai-Yu Tong
Cortico-Muscular Coherence Modulated by High-Definition Transcranial Direct Current Stimulation in People With Chronic Stroke 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    High-definition transcranial direct current stimulation (HD-tDCS) is a potential neuromodulation apparatus for stroke rehabilitation. However, its modulatory effects in stroke subjects is still not well understood. In this paper,…

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Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions

Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions
Author(s)3: Chuanxin M. Niu, Yong Bao, Cheng Zhuang, Si Li, Tong Wang, Lijun Cui, Qing Xie, Ning Lan
Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

        Functional electrical stimulation (FES) is capable of activating muscles that are under-recruited in neurological diseases, such as stroke. Therefore, FES provides a promising technology for assisting upper-limb motor functions…

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Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses

Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses
Author(s)3: Stephanie Huang, He Huang
Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses 780 680 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

  Discrete, rapid (i.e., ballistic like) muscle activation patterns have been observed in ankle muscles (i.e., plantar flexors and dorsiflexors) of able-bodied individuals during voluntary posture control. This observation motivated…

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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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