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dc.contributor.authorCheng, Chih-Jenen_US
dc.contributor.authorYang, Zu-Poen_US
dc.contributor.authorOu, Chien-Zhien_US
dc.contributor.authorLin, Bor-Shyhen_US
dc.date.accessioned2015-12-02T03:00:54Z-
dc.date.available2015-12-02T03:00:54Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-5390-5en_US
dc.identifier.issnen_US
dc.identifier.urihttp://dx.doi.org/10.1109/IIH-MSP.2014.151en_US
dc.identifier.urihttp://hdl.handle.net/11536/128524-
dc.description.abstractSwallowing difficulty is also called dysphagia. It is usually a sign related to the problems of your throat or esophagus the muscular tube that moves food and liquids from the back of your mouth to your stomach. These diseases are the common problem in people who have problems of the brain or nervous system. Surface electromyography (sEMG) signals provide the valuable information about the changes in the muscle when measuring and analyzing localized muscle fatigue. Several previous studies have reported swallowing behavior by sEMG. But there are no objective methods to assess swallowing coordination. In previous studies, the sEMG system was usually bulk, and it caused inconvenience to the users. So, this study proposed the wireless surface electromyography monitoring system for dysphagia evaluation. In order to assess the more accurate coordination of activities, the cross-correlation coefficient was used to determine the correlation between the sEMG of different muscle groups. The experimental results show that the discoordination indexes for dysphagia patients are obviously greater than that of healthy subjects.en_US
dc.language.isoen_USen_US
dc.subjectSurface Electromyographyen_US
dc.subjectDysphagiaen_US
dc.subjectCross-Correlation Coefficienten_US
dc.subjectSwallow Coordinationen_US
dc.titleWireless surface electromyography monitoring system for dysphagia evaluationen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/IIH-MSP.2014.151en_US
dc.identifier.journal2014 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2014)en_US
dc.citation.spage37en_US
dc.citation.epage40en_US
dc.contributor.department光電系統研究所zh_TW
dc.contributor.department影像與生醫光電研究所zh_TW
dc.contributor.departmentInstitute of Photonic Systemen_US
dc.contributor.departmentInstitute of Imaging and Biomedical Photonicsen_US
dc.identifier.wosnumberWOS:000358743800010en_US
dc.citation.woscount0en_US
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