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

^*Corresponding author for this work

University of Edinburgh
King's College London
St George's Hospital Medical School

Research output: Contribution to journal › Conference article › peer-review

6 Citations (Scopus)

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.

Original language	English
Pages (from-to)	80-81
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	1
Publication status	Published - 2002
Externally published	Yes
Event	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 Duration: 23 Oct 2002 → 26 Oct 2002

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Doppler ultrasound
Embolism
Time-frequency analysis
Time-scale analysis
Wavelet transform

Cite this

@article{6940a50410444aa5bfb320c975de5113,

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

Abstract

UN SDGs

Keywords

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