EMG Signal Analysis Using Intrinsic Mode Functions to Discriminate Upper Limb Movements
In this modern era analysis of sEMG (Surface Electromyography) signals plays a supreme task in the areas of human-machine interaction, diagnosing neuromuscular disorders, rehabilitation, and numerous relevant applications. EMG demonstrates the electrical activity during the contraction of the skelet...
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| Published in | The ... CSI International Symposium on Artificial Intelligence & Signal Processing (Online) pp. 1 - 3 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.01.2020
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9781728144566 1728144566 |
| ISSN | 2640-5768 |
| DOI | 10.1109/AISP48273.2020.9073313 |
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| Abstract | In this modern era analysis of sEMG (Surface Electromyography) signals plays a supreme task in the areas of human-machine interaction, diagnosing neuromuscular disorders, rehabilitation, and numerous relevant applications. EMG demonstrates the electrical activity during the contraction of the skeletal muscle. Purpose of this research is to distinguish the various muscle responses of the forearm with Empirical Mode Decomposition (EMD) and calculated Time-domain (TD) features of 10 intact subjects' benchmark EMG data base called Ninapro, in which database-2 has been used for identifying the basic wrist movements. |
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| AbstractList | In this modern era analysis of sEMG (Surface Electromyography) signals plays a supreme task in the areas of human-machine interaction, diagnosing neuromuscular disorders, rehabilitation, and numerous relevant applications. EMG demonstrates the electrical activity during the contraction of the skeletal muscle. Purpose of this research is to distinguish the various muscle responses of the forearm with Empirical Mode Decomposition (EMD) and calculated Time-domain (TD) features of 10 intact subjects' benchmark EMG data base called Ninapro, in which database-2 has been used for identifying the basic wrist movements. |
| Author | Karuna, M. Guntur, Sitaramanjaneya Reddy |
| Author_xml | – sequence: 1 givenname: M. surname: Karuna fullname: Karuna, M. organization: Vignan's Foundation for Science, Technology and Research,Department of Electronics and Communication Engineering,Guntur,India – sequence: 2 givenname: Sitaramanjaneya Reddy surname: Guntur fullname: Guntur, Sitaramanjaneya Reddy organization: Vignan's Foundation for Science, Technology and Research,Department of Biomedical Engineering,Guntur,India |
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| Snippet | In this modern era analysis of sEMG (Surface Electromyography) signals plays a supreme task in the areas of human-machine interaction, diagnosing neuromuscular... |
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| SubjectTerms | Artificial intelligence discrimination Electrodes Electromyography EMD Empirical mode decomposition Feature extraction Muscles Wrist |
| Title | EMG Signal Analysis Using Intrinsic Mode Functions to Discriminate Upper Limb Movements |
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