Stroke

Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors
Author(s)3: Lewis Formstone, Weiguang Huo, Samuel Wilson, Alison McGregor, Paul Bentley, Ravi Vaidyanathan
Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Subjective clinical rating scales represent the gold-standard diagnosis of motor function following stroke, however in practice they suffer from well-recognized limitations including assessor variance, low inter-rater reliability and low resolution.…

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Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke
Author(s)3: Natalia Sánchez, Nicolas Schweighofer, James M. Finley
Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Step length asymmetry (SLA) is common in most stroke survivors. Several studies have shown that factors such as paretic propulsion can explain between-subjects differences in SLA. However, whether the factors…

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Determining factors that influence adoption of new post-stroke sensorimotor rehabilitation devices in the USA
Author(s)3: Corey M. Morrow, Emily Johnson, Kit N. Simpson, Na Jin Seo
Determining factors that influence adoption of new post-stroke sensorimotor rehabilitation devices in the USA 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Rehabilitation device efficacy alone does not lead to clinical practice adoption. Previous literature identifies drivers for device adoption by therapists but does not identify the best settings to introduce devices,…

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Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution
Author(s)3: Minji Lee, Ji-Hoon Jeong, Yun-Hee Kim, Seong-Whan Lee
Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

In stroke rehabilitation, motor imagery based on a brain–computer interface is an extremely useful method to control an external device and utilize neurofeedback. Many studies have reported on the classification…

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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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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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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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Robot-Based Assessment of HIV-Related Motor and Cognitive Impairment for Neurorehabilitation
Author(s)3: Kevin D. Bui, Carol A. Wamsley, Frances S. Shofer, Dennis L. Kolson, Michelle J. Johnson
Robot-Based Assessment of HIV-Related Motor and Cognitive Impairment for Neurorehabilitation 448 227 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

There is a pressing need for strategies to slow or treat the progression of functional decline in people living with HIV. This paper explores a novel rehabilitation robotics approach to…

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Test-Retest Reliability of Kinematic Assessments for Upper Limb Robotic Rehabilitation
Author(s)3: T. Koeppel, O. Pila
Test-Retest Reliability of Kinematic Assessments for Upper Limb Robotic Rehabilitation 1000 359 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Robot-measured kinematic variables are increasingly used in neurorehabilitation to characterize motor recovery following stroke. However, few studies have evaluated the reliability of these kinematic variables. This study aimed at evaluating the test-retest reliability of typically-used robot-measured kinematic variables in healthy subjects (HS) and patients with stroke (SP). read more

A Novel Soft Robotic Supernumerary Hand for Severely Affected Stroke Patients
Author(s)3: Andrea S. Ciullo, Janne M. Veerbeek, Eveline Temperli, Andreas R. Luft, Frederik J. Tonis, Claudia J.W. Haarman, Arash Ajoudani, Manuel G. Catalano, Jeremia P.O. Held, Antonio Bicchi
A Novel Soft Robotic Supernumerary Hand for Severely Affected Stroke Patients 666 674 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Upper limb functions are severely affected in 23% of the chronic stroke patients, compromising their life quality. To re-enable hand use, providing a degree of functionality and motivating against learned…

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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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