scholarly journals Effects and impacts of a robotic arm used by individuals with upper limb motor impairment: A scoping review

2015 ◽  
Vol 58 ◽  
pp. e98 ◽  
Author(s):  
M. Beaudoin ◽  
F. Routhier ◽  
J. Lettre ◽  
P. Archambault ◽  
M. Lemay
Keyword(s):  
Upper Limb ◽  
Scoping Review ◽  
Motor Impairment ◽  
Robotic Arm

scholarly journals Sensory-Based Priming for Upper Extremity Hemiparesis After Stroke: A Scoping Review

2021 ◽  
pp. 153944922110326
Author(s):  
Mary E. Stoykov ◽  
Courtney Heidle ◽  
Shamshir Kang ◽  
Lisa Lodesky ◽  
Lindsay E. Maccary ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Motor Skills ◽  
Upper Limb ◽  
Scoping Review ◽  
Web Of Science ◽  
Motor Impairment ◽  
Cochrane Collaboration ◽  
Prisma Statement ◽  
Meta Analyses ◽  
The Cochrane Collaboration

Sensory priming is a technique to facilitate neuroplasticity and improve motor skills after injury. Common sensory priming modalities include peripheral nerve stimulation/somatosensory electrical stimulation (PNS/SES), transient functional deafferentation (TFD), and vibration. The aim of this study was to determine whether sensory priming with a motor intervention results in improved upper limb motor impairment or function after stroke. PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and EMBASE were the databases used to search the literature in July 2020. This scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and recommendations for the Cochrane collaboration. In total, 30 studies were included in the analysis: three studies examined TFD, 16 examined PNS/SES, 10 studied vibration, and one combined the three stimulation techniques. Most studies reported significant improvements for participants receiving sensory priming. Given the low risk, it may be advantageous to use sensory-based priming prior to or concurrent with upper limb training after stroke.

scholarly journals Effect of post-stroke spasticity on voluntary movement of the upper limb

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Hadar Lackritz ◽  
Yisrael Parmet ◽  
Silvi Frenkel-Toledo ◽  
Melanie C. Baniña ◽  
Nachum Soroker ◽  
...  
Keyword(s):  
Upper Limb ◽  
Target Location ◽  
Distance Measure ◽  
Movement Time ◽  
Motor Impairment ◽  
Reach To Grasp ◽  
Motion Patterns ◽  
Post Stroke ◽  
The Impact ◽  
Elbow Motion

Abstract Background Hemiparesis following stroke is often accompanied by spasticity. Spasticity is one factor among the multiple components of the upper motor neuron syndrome that contributes to movement impairment. However, the specific contribution of spasticity is difficult to isolate and quantify. We propose a new method of quantification and evaluation of the impact of spasticity on the quality of movement following stroke. Methods Spasticity was assessed using the Tonic Stretch Reflex Threshold (TSRT). TSRT was analyzed in relation to stochastic models of motion to quantify the deviation of the hemiparetic upper limb motion from the normal motion patterns during a reaching task. Specifically, we assessed the impact of spasticity in the elbow flexors on reaching motion patterns using two distinct measures of the ‘distance’ between pathological and normal movement, (a) the bidirectional Kullback–Liebler divergence (BKLD) and (b) Hellinger’s distance (HD). These measures differ in their sensitivity to different confounding variables. Motor impairment was assessed clinically by the Fugl-Meyer assessment scale for the upper extremity (FMA-UE). Forty-two first-event stroke patients in the subacute phase and 13 healthy controls of similar age participated in the study. Elbow motion was analyzed in the context of repeated reach-to-grasp movements towards four differently located targets. Log-BKLD and HD along with movement time, final elbow extension angle, mean elbow velocity, peak elbow velocity, and the number of velocity peaks of the elbow motion were computed. Results Upper limb kinematics in patients with lower FMA-UE scores (greater impairment) showed greater deviation from normality when the distance between impaired and normal elbow motion was analyzed either with the BKLD or HD measures. The severity of spasticity, reflected by the TSRT, was related to the distance between impaired and normal elbow motion analyzed with either distance measure. Mean elbow velocity differed between targets, however HD was not sensitive to target location. This may point at effects of spasticity on motion quality that go beyond effects on velocity. Conclusions The two methods for analyzing pathological movement post-stroke provide new options for studying the relationship between spasticity and movement quality under different spatiotemporal constraints.

Interhemispherical predictors of disability and upper limb motor impairment in patients with multiple sclerosis: A structural and functional MRI study

2021 ◽  
Vol 429 ◽  
pp. 117667
Author(s):  
Claudio Cordani ◽  
Paola Valsasina ◽  
Alessandro Meani ◽  
Elisabetta Pagani ◽  
Tetsu Morozumi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Functional Mri ◽  
Upper Limb ◽  
Motor Impairment ◽  
Mri Study

scholarly journals An integrated system design interface for operating 8-DoF robotic arm

2022 ◽  
Author(s):  
Madhav Rao
Keyword(s):  
Upper Limb ◽  
System Integration ◽  
Integrated System ◽  
Microsoft Kinect ◽  
Robotic Arm ◽  
Robot Arm ◽  
Game Engine ◽  
Kinematic Modeling ◽  
Articulated Robot ◽  
Integrated System Design

This study examines the system integration of a game engine with robotics middleware to drive an 8 degree offreedom (DoF) robotic upper limb to generate human-like motion for telerobotic applications. The developed architectureencompasses a pipeline execution design using Blender Game Engine (BGE) including the acquisition of real humanmovements via the Microsoft Kinect V2, interfaced with a modeled virtual arm, and replication of similar arm movements on the physical robotic arm. In particular, this study emphasizes the integration of a human “pilot” with ways to drive such a robotic arm through simulation and later, into a finished system. Additionally, using motion capture technology, a human upper limb action was recorded and applied onto the robot arm using the proposed architecture flow. Also, we showcase the robotic arm’s actions which include reaching, picking, holding, and dropping an object. This paper presentsa simple and intuitive kinematic modeling and 3D simulation process, which is validated using 8-DoF articulated robot to demonstrate methods for animation, and simulation using the designed interface.

Neurorehabilitation in Adults With Traumatic Upper Extremity Amputation: A Scoping Review

2021 ◽  
pp. 154596832110702
Author(s):  
Jake Rydland ◽  
Stephanie Spiegel ◽  
Olivia Wolfe ◽  
Bennett Alterman ◽  
John T Johnson ◽  
...  
Keyword(s):  
Upper Extremity ◽  
Upper Limb ◽  
Current Literature ◽  
Scoping Review ◽  
Neural Mechanisms ◽  
Limb Amputation ◽  
Future Research ◽  
Prosthetic Devices ◽  
Scoping Reviews ◽  
Extremity Amputation

Background Most of the current literature around amputation focuses on lower extremity amputation or engineering aspects of prosthetic devices. There is a need to more clearly understand neurobehavioral mechanisms related to upper extremity amputation and how such mechanisms might influence recovery and utilization of prostheses. Objective This scoping review aims to identify and summarize the current literature on adult traumatic upper limb amputation in regard to recovery and functional outcomes and how neuroplasticity might influence these findings. Methods We identified appropriate articles using Academic Search Complete EBSCO, OVID Medline, and Cochrane databases. The resulting articles were then exported, screened, and reviewed based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) guidelines. Results Eleven (11) studies met the study criteria. Of these studies, 7 focused on sensory involvement, 3 focused on neuroplastic changes post-amputation related to functional impact, and 1 study focused on motor control and learning post-amputation. Overall, these studies revealed an incomplete understanding of the neural mechanisms involved in motor rehabilitation in the central and peripheral nervous systems, while also demonstrating the value of an individualized approach to neurorehabilitation in upper limb loss. Conclusions There is a gap in our understanding of the role of neurorehabilitation following amputation. Overall, focused rehabilitation parameters, demographic information, and clarity around central and peripheral neural mechanisms are needed in future research to address neurobehavioral mechanisms to promote functional recovery following traumatic upper extremity amputation.

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