DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Shin, Insik | - |
dc.contributor.advisor | 신인식 | - |
dc.contributor.author | Lee, Sangmin | - |
dc.date.accessioned | 2023-06-26T19:31:33Z | - |
dc.date.available | 2023-06-26T19:31:33Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1008399&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/309547 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2022.8,[iii, 18 p. :] | - |
dc.description.abstract | In an aging society, the incidence of heart disease continues to increase, and among them, arrhythmia is a serious disease that accounts for 90% of sudden deaths and 20 to 30% of strokes, but the incidence is increasing. In this dissertation, we intend to deal with a non-contact, automated diagnosis method that uses UWB radar to diagnose arrhythmias more easily and conveniently and solves the shortcomings of the existing ECG method. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | UWB Radar▼aArrhythmia▼aNon-contact | - |
dc.subject | UWB 레이더▼a부정맥▼a비접촉식 진단 | - |
dc.title | Radar-based non-contact arrhythmia detection | - |
dc.title.alternative | 레이더 기반 비접촉식 부정맥 감지 기법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | 이상민 | - |
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