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dc.contributor.authorYen, Brad S.en_US
dc.contributor.authorWang, Hui-Minen_US
dc.contributor.authorHou, Mark C.en_US
dc.contributor.authorHuang, Sheng-Chiehen_US
dc.contributor.authorChou, Lei-Chunen_US
dc.contributor.authorHsu, Shao-Youen_US
dc.contributor.authorHuang, Tzu-chiaen_US
dc.contributor.authorLai, You-Liangen_US
dc.contributor.authorJan, Ming-Yieen_US
dc.date.accessioned2014-12-08T15:38:38Z-
dc.date.available2014-12-08T15:38:38Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-5309-2en_US
dc.identifier.issn0271-4302en_US
dc.identifier.urihttp://hdl.handle.net/11536/26432-
dc.description.abstractPrevious literature has suggested that consciousness of patients in vegetative state (VS) may be enhanced via music listening; however, studies empirically documenting the link among music, vegetative state, and electrocardiogram (ECG) are scant. Therefore, the current article attempts to explore how music improves the VS patient's condition with the assessment of ECG recordings. The present work involved a follow-up of case report, consisting of forty-two 150-min sessions, whose duration is longer than other VS studies. The quantitative analysis of the data was conducted through C programming language, HRV Analysis, EXCEL and MATLAB package software in order to find a specific pattern of HRV. Results of the study showed a medium level of consistence between the two variables of music and ECG. To conclude, this publication may be of importance in presenting some specific pattern of the ECG diagram while letting VS patients listen to the music.en_US
dc.language.isoen_USen_US
dc.titleThe Relationship between Music Processing and Electrocardiogram (ECG) in Vegetative State (VS)en_US
dc.typeArticleen_US
dc.identifier.journal2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMSen_US
dc.citation.spage2239en_US
dc.citation.epage2242en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000287216002115-
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