Effect of wavelet denoizing on time-frequency and time-scale analysis of quadrature embolic Doppler signals

N. Aydin; F. Marvasti; H. S. Markus

Effect of wavelet denoizing on time-frequency and time-scale analysis of quadrature embolic Doppler signals

N. Aydin^*
, F. Marvasti
, H. S. Markus

^*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

6 Atıf (Scopus)

Özet

Early and accurate detection of emboli is important for monitoring of preventive therapy in stroke-prone patients. One of the problems in detection of emboli is the identification of an embolic signal caused by very small emboli. The amplitude of the embolic signal may be so small that advanced processing methods are required to distinguish these signals from Doppler signals arising from red blood cells. Time-frequency and time-scale analysis have been widely used in analysis and detection of embolic signals. In this study we use wavelet denoising to improve analysis and detection of embolic signals. Results demonstrate that considerable improvements can be achieved by wavelet denoising.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	80-81
Sayfa sayısı	2
Dergi	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Hacim	1
Yayın durumu	Yayınlandı - 2002
Harici olarak yayınlandı	Evet
Etkinlik	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Süre: 23 Eki 2002 → 26 Eki 2002

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title = "Effect of wavelet denoizing on time-frequency and time-scale analysis of quadrature embolic Doppler signals",

abstract = "Early and accurate detection of emboli is important for monitoring of preventive therapy in stroke-prone patients. One of the problems in detection of emboli is the identification of an embolic signal caused by very small emboli. The amplitude of the embolic signal may be so small that advanced processing methods are required to distinguish these signals from Doppler signals arising from red blood cells. Time-frequency and time-scale analysis have been widely used in analysis and detection of embolic signals. In this study we use wavelet denoising to improve analysis and detection of embolic signals. Results demonstrate that considerable improvements can be achieved by wavelet denoising.",

keywords = "Doppler ultrasound, Embolism, Time-frequency analysis, Time-scale analysis, Wavelet transform",

author = "N. Aydin and F. Marvasti and Markus, \{H. S.\}",

year = "2002",

language = "English",

volume = "1",

pages = "80--81",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) ; Conference date: 23-10-2002 Through 26-10-2002",

}

TY - JOUR

T1 - Effect of wavelet denoizing on time-frequency and time-scale analysis of quadrature embolic Doppler signals

AU - Aydin, N.

AU - Marvasti, F.

AU - Markus, H. S.

PY - 2002

Y1 - 2002

N2 - Early and accurate detection of emboli is important for monitoring of preventive therapy in stroke-prone patients. One of the problems in detection of emboli is the identification of an embolic signal caused by very small emboli. The amplitude of the embolic signal may be so small that advanced processing methods are required to distinguish these signals from Doppler signals arising from red blood cells. Time-frequency and time-scale analysis have been widely used in analysis and detection of embolic signals. In this study we use wavelet denoising to improve analysis and detection of embolic signals. Results demonstrate that considerable improvements can be achieved by wavelet denoising.

AB - Early and accurate detection of emboli is important for monitoring of preventive therapy in stroke-prone patients. One of the problems in detection of emboli is the identification of an embolic signal caused by very small emboli. The amplitude of the embolic signal may be so small that advanced processing methods are required to distinguish these signals from Doppler signals arising from red blood cells. Time-frequency and time-scale analysis have been widely used in analysis and detection of embolic signals. In this study we use wavelet denoising to improve analysis and detection of embolic signals. Results demonstrate that considerable improvements can be achieved by wavelet denoising.

KW - Doppler ultrasound

KW - Embolism

KW - Time-frequency analysis

KW - Time-scale analysis

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/0036918069

M3 - Conference article

AN - SCOPUS:0036918069

SN - 0589-1019

VL - 1

SP - 80

EP - 81

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)

Y2 - 23 October 2002 through 26 October 2002

ER -

Effect of wavelet denoizing on time-frequency and time-scale analysis of quadrature embolic Doppler signals

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BM SKH

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