Literature DB >> 17155866

Application of EMG signals for controlling exoskeleton robots.

Christian Fleischer1, Andreas Wege, Konstantin Kondak, Günter Hommel.   

Abstract

Exoskeleton robots are mechanical constructions attached to human body parts, containing actuators for influencing human motion. One important application area for exoskeletons is human motion support, for example, for disabled people, including rehabilitation training, and for force enhancement in healthy subjects. This paper surveys two exoskeleton systems developed in our laboratory. The first system is a lower-extremity exoskeleton with one actuated degree of freedom in the knee joint. This system was designed for motion support in disabled people. The second system is an exoskeleton for a human hand with 16 actuated joints, four for each finger. This hand exoskeleton will be used in rehabilitation training after hand surgeries. The application of EMG signals for motion control is presented. An overview of the design and control methods, and first experimental results for the leg exoskeleton are reported.

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Year:  2006        PMID: 17155866     DOI: 10.1515/BMT.2006.063

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  11 in total

1.  Controlling a Lower-Leg Exoskeleton Using Voltage and Current Variation Signals of a DC Motor Mounted at the Knee Joint.

Authors:  Muhammad Al-Ayyad; Bashar Al-Haj Moh'd; Nidal Qasem; Mohammad Al-Takrori
Journal:  J Med Syst       Date:  2019-06-14       Impact factor: 4.460

Review 2.  Sensors and Actuation Technologies in Exoskeletons: A Review.

Authors:  Monica Tiboni; Alberto Borboni; Fabien Vérité; Chiara Bregoli; Cinzia Amici
Journal:  Sensors (Basel)       Date:  2022-01-24       Impact factor: 3.576

3.  Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography.

Authors:  Taichi Tanaka; Isao Nambu; Yoshiko Maruyama; Yasuhiro Wada
Journal:  Sensors (Basel)       Date:  2022-07-02       Impact factor: 3.847

4.  A PHYSIOLOGIST'S PERSPECTIVE ON ROBOTIC EXOSKELETONS FOR HUMAN LOCOMOTION.

Authors:  Daniel P Ferris; Gregory S Sawicki; Monica A Daley
Journal:  Int J HR       Date:  2007-09       Impact factor: 1.616

Review 5.  Hand Rehabilitation Robotics on Poststroke Motor Recovery.

Authors:  Zan Yue; Xue Zhang; Jing Wang
Journal:  Behav Neurol       Date:  2017-11-02       Impact factor: 3.342

6.  A Biomechanical Comparison of Proportional Electromyography Control to Biological Torque Control Using a Powered Hip Exoskeleton.

Authors:  Aaron J Young; Hannah Gannon; Daniel P Ferris
Journal:  Front Bioeng Biotechnol       Date:  2017-06-30

7.  Neuromechanics and Energetics of Walking With an Ankle Exoskeleton Using Neuromuscular-Model Based Control: A Parameter Study.

Authors:  Benjamin A Shafer; Sasha A Philius; Richard W Nuckols; James McCall; Aaron J Young; Gregory S Sawicki
Journal:  Front Bioeng Biotechnol       Date:  2021-04-09

8.  Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity.

Authors:  Nathan A Fitzsimmons; Mikhail A Lebedev; Ian D Peikon; Miguel A L Nicolelis
Journal:  Front Integr Neurosci       Date:  2009-03-09

Review 9.  A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions.

Authors:  Nurhazimah Nazmi; Mohd Azizi Abdul Rahman; Shin-Ichiroh Yamamoto; Siti Anom Ahmad; Hairi Zamzuri; Saiful Amri Mazlan
Journal:  Sensors (Basel)       Date:  2016-08-17       Impact factor: 3.576

10.  Myoelectric control algorithm for robot-assisted therapy: a hardware-in-the-loop simulation study.

Authors:  Juan C Yepes; Mario A Portela; Álvaro J Saldarriaga; Vera Z Pérez; Manuel J Betancur
Journal:  Biomed Eng Online       Date:  2019-01-03       Impact factor: 2.819

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