개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.1
- 수록면
- 1 - 5 (5page)
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The two major problems related to the blood flow in replaced prosthetic heart valve are thrombus formation and hemolysis. Reliability of prosthetic valve is very important because its failure means the death of patient. There are many factors affecting the valvular failures and their representatives are mechanical failure and thrombosis, so early noninvasive detection is essentially required. The purpose of this study is to detect the various thromboses formation by using acoustic signal acquisition and its spectral analysis on the frequency domain. We made the thrombosis models using Polydimethylsiloxane (PDMS) and they are thrombosis model on the disc, around the sewing ring and fibrous tissue growth across the orifice of valve. Using microphone and amplifier, we measured the acoustic signal from the prosthetic valve, which is attached to the pulsatile mock circulation system. A/D converter sampled the acoustic signal and the spectral analysis is the main algorithm for obtaining spectrum. Then the spectrum of normal and 5 different kinds of abnormal valve were obtained. Each spectrum waveform shows a primary and secondary peak. The secondary peak changes according to the thrombus model. To quantitatively distinguish the frequency peak of the normal valve from that of the thrombosed valves, analysis using a neural network was employed. Acoustic measurement has been used as a noninvasive diagnostic tool and is thought to be a good method for detecting possible mechanical failure or thrombus.
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참고문헌 (10)
참고문헌 신청
Candy JV / 1995 / Classification of prosthetic heart valve sound / J Acoustic Soc Am 97 : 3675 ~ 3687
Chon KH / 1997 / Linear and nonlinear ARMA model parameter estimation using an artificial neural network / IEEE BME 44 : 168 ~ 174
Durand LG / 1986 / Evaluation of FFT-based and modern parametric methods for the spectral analysis of bioprosthetic valve sounds / IEEE Trans Biomedical Eng BME 33 : 572 ~ 57
Foale RA / 1983 / Detection of aortic porcine valve dysfunction by maximum entropy spectral analysis / Circulation 68 : 42 ~ 49
Henry Edmunds L Jr. / 1981 / Thromboembolic complications of current cardiac valvular prostheses / The Annals of Thoracic Surgery 34 : 96 ~ 106
Chon KH / 1997 / Linear and nonlinear ARMA model parameter estimation using an artificial neural network / IEEE BME 44 : 168 ~ 174
Durand LG / 1986 / Evaluation of FFT-based and modern parametric methods for the spectral analysis of bioprosthetic valve sounds / IEEE Trans Biomedical Eng BME 33 : 572 ~ 57
Foale RA / 1983 / Detection of aortic porcine valve dysfunction by maximum entropy spectral analysis / Circulation 68 : 42 ~ 49
Henry Edmunds L Jr. / 1981 / Thromboembolic complications of current cardiac valvular prostheses / The Annals of Thoracic Surgery 34 : 96 ~ 106
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