scholarly journals Electromyography Assessment of the Assistance Provided by an Upper-Limb Exoskeleton in Maintenance Tasks

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3391 ◽  
Author(s):  
Andrea Blanco ◽  
José María Catalán ◽  
Jorge Antonio Díez ◽  
José Vicente García ◽  
Emilio Lobato ◽  
...  
Keyword(s):  
Upper Limb ◽  
Muscle Activity ◽  
Surface Electromyography ◽  
Pectoralis Major ◽  
Upper Limb Exoskeleton ◽  
Muscle Activations ◽  
Head Height ◽  
Industrial Task

In this paper, the analysis of the intensity of muscle activations in different subjects when they perform an industrial task in a repetitive way assisted by a robotic upper-limb exoskeleton is presented. To do that, surface electromyography (EMG) signals were monitored with and without a robotic upper-limb exoskeleton for 10 subjects during a drilling task, a typical tedious maintenance or industrial task. Our results show that wearing the upper-limb exoskeleton substantially reduces muscle activity during a drilling task above head height. Specifically, there is statistically significant differences in the pectoralis major and rhomboids muscles between the groups wearing or not wearing the robotic upper-limb exoskeleton.

scholarly journals A novel fatigue detection method for rehabilitation training of upper limb exoskeleton robot using multi-information fusion

2020 ◽  
Vol 17 (6) ◽  
pp. 172988142097429
Author(s):  
Wendong Wang ◽  
Hanhao Li ◽  
Dezhi Kong ◽  
Menghan Xiao ◽  
Peng Zhang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Information Fusion ◽  
Upper Limb ◽  
Surface Electromyography ◽  
Fuzzy Logic Controller ◽  
Signal Acquisition ◽  
Rehabilitation Training ◽  
Upper Limb Exoskeleton ◽  
Instantaneous Heart Rate

The utilization of upper extremity exoskeleton robots has been proved to be a scientifically effective approach for rehabilitation training. In the process of rehabilitation training, it is necessary to detect the fatigue degree during rehabilitation training in order to formulate a reasonable training plan and achieve better training efficiency. Based on the integral value of surface electromyography (sEMG), heart rate variability, and instantaneous heart rate, this article proposes a fatigue judgment method for multi-information fusion. Based on the integral value data, the feature extraction of the bioelectrical signals were implemented separately, then the fatigue recognition was conducted using the decision-level data fusion method. The bioelectrical signal acquisition system of electromyogram signals and electrocardiograph signals was developed for upper limb exoskeleton rehabilitation robot, and the acquisition and processing of electromyogram signals and electrocardiograph signals were completed. Finally, the fuzzy logic controller with instantaneous heart rate, heart rate variability, and surface electromyography signal was designed to judge fatigue degree, including the fuzzy device, fuzzy rule selector, and defuzzifier. The moderate fatigue state data were selected for testing, and the experimental results showed that the error of fatigue judgment is 4.3%, which satisfies the requirements of fatigue judgment.

Novel Adaptive Reaching Law for Sliding Mode Control of an Upper Limb Exoskeleton Robot*

2020 ◽  
Author(s):  
Brahim Brahmi ◽  
Khaled El-Monajjed ◽  
Mohammad Habibur Rahman ◽  
Tanvir Ahmed ◽  
Claude El-Bayeh ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Upper Limb ◽  
Sliding Mode ◽  
Reaching Law ◽  
Mode Control ◽  
Upper Limb Exoskeleton ◽  
Exoskeleton Robot

scholarly journals A 4-DOF Upper Limb Exoskeleton for Physical Assistance: Design, Modeling, Control and Performance Evaluation

2021 ◽  
Vol 11 (13) ◽  
pp. 5865
Author(s):  
Muhammad Ahsan Gull ◽  
Mikkel Thoegersen ◽  
Stefan Hein Bengtson ◽  
Mostafa Mohammadi ◽  
Lotte N. S. Andreasen Struijk ◽  
...  
Keyword(s):  
Upper Limb ◽  
Tracking Control ◽  
Degrees Of Freedom ◽  
Control Method ◽  
Mechanical Design ◽  
Trajectory Tracking Control ◽  
Upper Limb Exoskeleton ◽  
And Performance ◽  
Physically Disabled People ◽  
Human Upper Limb

Wheelchair mounted upper limb exoskeletons offer an alternative way to support disabled individuals in their activities of daily living (ADL). Key challenges in exoskeleton technology include innovative mechanical design and implementation of a control method that can assure a safe and comfortable interaction between the human upper limb and exoskeleton. In this article, we present a mechanical design of a four degrees of freedom (DOF) wheelchair mounted upper limb exoskeleton. The design takes advantage of non-backdrivable mechanism that can hold the output position without energy consumption and provide assistance to the completely paralyzed users. Moreover, a PD-based trajectory tracking control is implemented to enhance the performance of human exoskeleton system for two different tasks. Preliminary results are provided to show the effectiveness and reliability of using the proposed design for physically disabled people.

scholarly journals A Novel Inverse Kinematics Method for Upper-Limb Exoskeleton under Joint Coordination Constraints

2020 ◽  
Author(s):  
Stefano Dalla Gasperina ◽  
Keya Ghonasgi ◽  
Ana C. de Oliveira ◽  
Marta Gandolla ◽  
Alessandra Pedrocchi ◽  
...  
Keyword(s):  
Upper Limb ◽  
Inverse Kinematics ◽  
Joint Coordination ◽  
Upper Limb Exoskeleton
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