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- Publisher Website: 10.1109/CIVEMSA.2015.7158632
- Scopus: eid_2-s2.0-84943192277
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Conference Paper: A novel dot-plot algorithm for surface EMG signal segment identification
Title | A novel dot-plot algorithm for surface EMG signal segment identification |
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Authors | |
Keywords | Dot-plot analysis Segmentation Time series analysis Surface EMG |
Issue Date | 2015 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6598376 |
Citation | The 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2015), Shenzhen, China, 12-14 June 2015. In Conference Proceedings, 2015, p. 1-6 How to Cite? |
Abstract | Segmentation of surface EMG signal often involve in many scenarios including motion classification in robotic prostheses and motion segment identification. Many of them require a threshold that is predefined or a training data set. The objective of this paper is to find a way to perform segmentation without a threshold or training data set. Dot plot analysis has been widely used in bioinformatics to identify similar segments between proteins or DNA. The philosophy behind dot plot analysis can be applied to perform surface EMG signal segmentation. The properties of the new algorithm is examined. The major advantage of the dot-plot segmentation algorithm is that threshold is no long need to be estimated, instead the minimal length of a segment in a time series signal need to be declared. |
Persistent Identifier | http://hdl.handle.net/10722/213564 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Sit, ECY | - |
dc.contributor.author | Hu, Y | - |
dc.date.accessioned | 2015-08-05T08:02:56Z | - |
dc.date.available | 2015-08-05T08:02:56Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2015), Shenzhen, China, 12-14 June 2015. In Conference Proceedings, 2015, p. 1-6 | - |
dc.identifier.isbn | 978-1-4799-6092-7 | - |
dc.identifier.uri | http://hdl.handle.net/10722/213564 | - |
dc.description.abstract | Segmentation of surface EMG signal often involve in many scenarios including motion classification in robotic prostheses and motion segment identification. Many of them require a threshold that is predefined or a training data set. The objective of this paper is to find a way to perform segmentation without a threshold or training data set. Dot plot analysis has been widely used in bioinformatics to identify similar segments between proteins or DNA. The philosophy behind dot plot analysis can be applied to perform surface EMG signal segmentation. The properties of the new algorithm is examined. The major advantage of the dot-plot segmentation algorithm is that threshold is no long need to be estimated, instead the minimal length of a segment in a time series signal need to be declared. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6598376 | - |
dc.relation.ispartof | Proceedings of IEEE International Conference on Computational Intelligence & Virtual Environments for Measurement Systems & Applications, CIVEMSA 2015 | - |
dc.subject | Dot-plot analysis | - |
dc.subject | Segmentation | - |
dc.subject | Time series analysis | - |
dc.subject | Surface EMG | - |
dc.title | A novel dot-plot algorithm for surface EMG signal segment identification | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hu, Y: yhud@hku.hk | - |
dc.identifier.authority | Hu, Y=rp00432 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/CIVEMSA.2015.7158632 | - |
dc.identifier.scopus | eid_2-s2.0-84943192277 | - |
dc.identifier.hkuros | 247340 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 150805 | - |