Decoding upper limb kinematics from primary motor cortical representations for intracortical brain-machine interfaces

Author(s):  
Min-Ki Kim ◽  
Jeong-woo Sohn ◽  
Sung-Phil Kim
2018 ◽  
Vol 10 ◽  
Author(s):  
Daniel A. Pupo ◽  
John W. Kakareka ◽  
Jonathan Krynitsky ◽  
Lorenzo Leggio ◽  
Tom Pohida ◽  
...  

2008 ◽  
Vol 24 (3) ◽  
pp. 280-287 ◽  
Author(s):  
Yong “Tai” Wang ◽  
Konstantinos Dino Vrongistinos ◽  
Dali Xu

The purposes of this study were to examine the consistency of wheelchair athletes’ upper-limb kinematics in consecutive propulsive cycles and to investigate the relationship between the maximum angular velocities of the upper arm and forearm and the consistency of the upper-limb kinematical pattern. Eleven elite international wheelchair racers propelled their own chairs on a roller while performing maximum speeds during wheelchair propulsion. A Qualisys motion analysis system was used to film the wheelchair propulsive cycles. Six reflective markers placed on the right shoulder, elbow, wrist joints, metacarpal, wheel axis, and wheel were automatically digitized. The deviations in cycle time, upper-arm and forearm angles, and angular velocities among these propulsive cycles were analyzed. The results demonstrated that in the consecutive cycles of wheelchair propulsion the increased maximum angular velocity may lead to increased variability in the upper-limb angular kinematics. It is speculated that this increased variability may be important for the distribution of load on different upper-extremity muscles to avoid the fatigue during wheelchair racing.


2019 ◽  
Vol 237 (6) ◽  
pp. 1383-1395 ◽  
Author(s):  
Philipp Gulde ◽  
S. Schmidle ◽  
A. Aumüller ◽  
J. Hermsdörfer

2015 ◽  
Vol 2 (1) ◽  
pp. e4 ◽  
Author(s):  
Cristina Roldan-Jimenez ◽  
Antonio Cuesta-Vargas ◽  
Paul Bennett

Author(s):  
Etienne Goubault ◽  
Romain Martinez ◽  
Najoua Assila ◽  
Élodie Monga-Dubreuil ◽  
Jennifer Dowling-Medley ◽  
...  

Objective To highlight the working strategies used by expert manual handlers compared with novice manual handlers, based on recordings of shoulder and upper limb kinematics, electromyography (EMG), and estimated muscle forces during a lifting task. Background Novice workers involved in assembly, manual handling, and personal assistance tasks are at a higher risk of upper limb musculoskeletal disorders (MSDs). However, few studies have investigated the effect of expertise on upper limb exposure during workplace tasks. Method Sixteen experts in manual handling and sixteen novices were equipped with 10 electromyographic electrodes to record shoulder muscle activity during a manual handling task consisting of lifting a box (8 or 12 kg), instrumented with three six-axis force sensors, from hip to eye level. Three-dimensional trunk and upper limb kinematics, hand-to-box contact forces, and EMG were recorded. Then, joint contributions, activation levels, and muscle forces were calculated and compared between groups. Results Sternoclavicular–acromioclavicular joint contributions were higher in experts at the beginning of the movement, and in novices at the end, whereas the opposite was observed for the glenohumeral joint. EMG activation levels were 37% higher for novices but predicted muscle forces were higher in experts. Conclusion This study highlights significant differences between experts and novices in shoulder kinematics, EMG, and muscle forces; hence, providing effective work guidelines to ensure the development of a safe handling strategy is important. Application Shoulder kinematics, EMG, and muscle forces could be used as ergonomic tools to identify inappropriate techniques that could increase the prevalence of shoulder injuries.


2010 ◽  
Vol 32 (4) ◽  
pp. 500-507 ◽  
Author(s):  
Annelies Vandenberghe ◽  
Oron Levin ◽  
Joris De Schutter ◽  
Stephan Swinnen ◽  
Ilse Jonkers

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