Presentation 2014-09-12
Classification of stenosis signals in shunt murmurs using nonsteady oscillation model
Masakazu KIRYU, Hatsuhiro KATO, Yutaka SUZUKI, Mizuya FUKASAWA, Osamu SAKATA,
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Abstract(in English) Many of hemodialysis patients undergo a plastic surgery of forming a shunt of blood vessels in their forearm. To detect the stenosis occurred in shunted vessels , diagnostic systems have been developed using vascular sounds. The vascular sounds from shunted vessels are termed as shunt murmurs, which is a non-steady signal synchronizing with the heart beats and includes the information about the stenosis level of vessels. In this study we propose a new method to extract signal features using non-steady oscillation model (ns-OM); This model expresses transient variations of a non-steady signal by using complex amplitudes and oscillation constants of monotonously changing oscillations. Features of shunt murmurs were extracted by ns-OM and were compared with those obtained by the maximum entropy method (MEM). The ns-OM serves for extracting new adding feature and enables us to classify stenosis signals in details which were never possible with MEM. A prospect of improving the stenosis diagnosis was also obtained.
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Keyword(in English) hemodialysis / shunt / non-steady oscillation model / stenosis diagosis
Paper # BioX2014-11,MBE2014-34
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Committee BioX
Conference Date 2014/9/5(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification of stenosis signals in shunt murmurs using nonsteady oscillation model
Sub Title (in English)
Keyword(1) hemodialysis
Keyword(2) shunt
Keyword(3) non-steady oscillation model
Keyword(4) stenosis diagosis
1st Author's Name Masakazu KIRYU
1st Author's Affiliation Graduate School of Medicine and Engineering General Education Department, University of Yamanashi()
2nd Author's Name Hatsuhiro KATO
2nd Author's Affiliation Graduate School of Medicine and Engineering General Education Department, University of Yamanashi
3rd Author's Name Yutaka SUZUKI
3rd Author's Affiliation Center for Life Science Research, University of Yamanashi
4th Author's Name Mizuya FUKASAWA
4th Author's Affiliation Graduate School of Medicine and Engineering General Education Department, University of Yamanashi
5th Author's Name Osamu SAKATA
5th Author's Affiliation Graduate School of Medicine and Engineering General Education Department, University of Yamanashi
Date 2014-09-12
Paper # BioX2014-11,MBE2014-34
Volume (vol) vol.114
Number (no) 212
Page pp.pp.-
#Pages 6
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