Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications
One of the main problems in developing active prosthesis is how to control them in a natural way. In order to increase the effectiveness of hand prostheses there is a need in better exploiting electromyography (EMG) signals. After an analysis of the movements necessary for grasping, we individuated...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.3233/ABB-2011-0024 |
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| _version_ | 1850163558326730752 |
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| author | Giuseppina Gini Matteo Arvetti Ian Somlai Michele Folgheraiter |
| author_facet | Giuseppina Gini Matteo Arvetti Ian Somlai Michele Folgheraiter |
| author_sort | Giuseppina Gini |
| collection | DOAJ |
| description | One of the main problems in developing active prosthesis is how to control them in a natural way. In order to increase the effectiveness of hand prostheses there is a need in better exploiting electromyography (EMG) signals. After an analysis of the movements necessary for grasping, we individuated five movements for the wrist-hand mobility. Then we designed the basic electronics and software for the acquisition and the analysis of the EMG signals. We built a small size electronic device capable of registering them that can be integrated into a hand prosthesis. Among all the numerous muscles that move the fingers, we have chosen the ones in the forearm and positioned only two electrodes. To recognize the operation, we developed a classification system, using a novel integration of Artificial Neural Networks (ANN) and wavelet features. |
| format | Article |
| id | doaj-art-e9833ccb807b465db74bee72ba060cd3 |
| institution | OA Journals |
| issn | 1176-2322 1754-2103 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-e9833ccb807b465db74bee72ba060cd32025-08-20T02:22:15ZengWileyApplied Bionics and Biomechanics1176-23221754-21032012-01-019214515510.3233/ABB-2011-0024Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic ApplicationsGiuseppina Gini0Matteo Arvetti1Ian Somlai2Michele Folgheraiter3Department of Electronics and Information of Politecnico di Milano, Milan, ItalyDepartment of Electronics and Information of Politecnico di Milano, Milan, ItalyDepartment of Micro-technology and Medical Device Technology, Technical University of Munich, Munich, GermanyDFKI, Bremen, GermanyOne of the main problems in developing active prosthesis is how to control them in a natural way. In order to increase the effectiveness of hand prostheses there is a need in better exploiting electromyography (EMG) signals. After an analysis of the movements necessary for grasping, we individuated five movements for the wrist-hand mobility. Then we designed the basic electronics and software for the acquisition and the analysis of the EMG signals. We built a small size electronic device capable of registering them that can be integrated into a hand prosthesis. Among all the numerous muscles that move the fingers, we have chosen the ones in the forearm and positioned only two electrodes. To recognize the operation, we developed a classification system, using a novel integration of Artificial Neural Networks (ANN) and wavelet features.http://dx.doi.org/10.3233/ABB-2011-0024 |
| spellingShingle | Giuseppina Gini Matteo Arvetti Ian Somlai Michele Folgheraiter Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications Applied Bionics and Biomechanics |
| title | Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications |
| title_full | Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications |
| title_fullStr | Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications |
| title_full_unstemmed | Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications |
| title_short | Acquisition and Analysis of EMG Signals to Recognize Multiple Hand Movements for Prosthetic Applications |
| title_sort | acquisition and analysis of emg signals to recognize multiple hand movements for prosthetic applications |
| url | http://dx.doi.org/10.3233/ABB-2011-0024 |
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