https://scholars.lib.ntu.edu.tw/handle/123456789/519359
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Huang, Pei-Wen | en_US |
dc.contributor.author | SUNG-CHUN TANG | en_US |
dc.contributor.author | Lin, Yu-Min | en_US |
dc.contributor.author | Liu, You-Cheng | en_US |
dc.contributor.author | Jou, Wei-Jung | en_US |
dc.contributor.author | Jen, Hsiao-I | en_US |
dc.contributor.author | DAR-MING LAI | en_US |
dc.contributor.author | AN-YEU(ANDY) WU | en_US |
dc.creator | Huang P.-W.;Sung-Chun Tang;Lin Y.-M.;Liu Y.-C.;Jou W.-J.;Jen H.-I.;Lai D.-M.;Wu A.-Y. | - |
dc.date.accessioned | 2020-11-03T11:08:15Z | - |
dc.date.available | 2020-11-03T11:08:15Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | #VALUE! | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961337409&doi=10.1109%2fICDSP.2015.7251913&partnerID=40&md5=fa0238b34c1a5ca2ffeb84c4691474e7 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/519359 | - |
dc.description.abstract | Stroke is a leading cause of death and disability. Early prediction of stroke patients' functional outcomes is helpful for treatments. However, current diagnosis machines, such as computed tomography (CT) and magnetic resonance imaging (MRI), are expensive, not portable, and may cause side effects. Additionally, current diagnosis scales, such as National Institutes of Health Stroke Scale (NIHSS), should be evaluated by professional medical staff, and thus cannot be conducted continuously. In this paper, we propose a multi-modal analysis methodology to predict a stroke patient's functional outcome based on physiological signals, including EKG, ABP, and PPG. By applying the multi-modal framework to analyze the stroke patients' physiological signals in intensive care unit (ICU), we find that the accuracy of stroke outcome predictions achieves 82.7%, which performs better than a single-modal built by any single phase. In addition, the joint EKG-ABP-PPG analysis achieves performance comparable to NIHSS, implying that the multi-modal analysis framework has potential for predicting functional outcomes of stroke. © 2015 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | International Conference on Digital Signal Processing, DSP | en_US |
dc.title | Predicting stroke outcomes based on multi-modal analysis of physiological signals | en_US |
dc.type | conference paper | en_US |
dc.identifier.doi | 10.1109/ICDSP.2015.7251913 | - |
dc.identifier.scopus | 2-s2.0-84961337409 | - |
dc.relation.pages | 454-457 | en_US |
dc.relation.journalvolume | 2015-September | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
crisitem.author.dept | Neurology-NTUH | - |
crisitem.author.dept | Neurology | - |
crisitem.author.dept | Surgery-NTUH | - |
crisitem.author.dept | Surgery | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Electronics Engineering | - |
crisitem.author.dept | Intel-NTU Connected Context Computing Center | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.orcid | 0000-0003-3731-5973 | - |
crisitem.author.orcid | 0000-0002-9896-5251 | - |
crisitem.author.orcid | 0000-0003-4731-8633 | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 醫學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。