Training

Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy

Author(s)3: Ying Fang, Zachary F. Lerner
Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Most people with cerebral palsy (CP) suffer from impaired walking ability and pathological gait patterns. Seeking to improve the effectiveness of gait training in this patient population, this study developed…

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Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring

Author(s)3: Aleš Procházka, Ondřej Dostál, Pavel Cejnar, Hagar Ibrahim Mohamed, Zbyšek Pavelek, Martin Vališ, Oldřich Vyšata
Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring 526 336 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility…

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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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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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Unimanual Versus Bimanual Motor Imagery

Unimanual vs Bimanual Motor Imagery Classifiers for Assistive and Rehabilitative Brain Computer Interfaces

Author(s)3: Vuckovic Aleksandra, Pangaro Sara, Putri Finda
Unimanual vs Bimanual Motor Imagery Classifiers for Assistive and Rehabilitative Brain Computer Interfaces 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

   Bimanual movements are an integral part of everyday activities and are often included in rehabilitation therapies. Yet electroencephalography (EEG) based assistive and rehabilitative brain computer interface (BCI) systems typically…

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Biomedical Serious Game System for Balance Rehabilitation of Hemiparetic Stroke Patients

Author(s)3: F. Noveletto, A.V. Soares, B.A. Mello, C.N. Sevegnani, F.L.F. Eichinger, marcelodashounsell, P. Bertemes-Filho
Biomedical Serious Game System for Balance Rehabilitation of Hemiparetic Stroke Patients 345 229 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Hemiparetic stroke patients can have several muscular and postural disorders which compromise their balance. Serious Games (SG) emerged as a new approach to enhance conventional treatment by making it a…

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Can Wii Balance? Evaluating a Stepping Game for Older Adults

Author(s)3: Mark Deacon, John Parsons, Sean Mathieson, T. Claire Davies
Can Wii Balance? Evaluating a Stepping Game for Older Adults 300 541 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    Decline in balance control is an issue for older adults as it leads to an increased risk of falling which may result in serious injury. Mitigating this risk may…

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Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network

Author(s)3: Hang Zhang, Li Yao, Zhiying Long
Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract Numerous studies provide evidences that motor skill learning changes the activity of some brain regions during task as well as some resting networks during rest. However, it is still…

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