Novel intelligent wavelet filtering of embolic signals from TCD ultrasound
File(s)
Published version
Author(s)
Marvasti, Salman
Gillies, Duncan
Markus, Hugh S
Type
Report
Abstract
Transcranial Doppler ultrasound can be used to detect emboli in blood flow for predicting
stroke. Embolic signals have characteristic transient chirps suitable for wavelet analysis.
We have implemented and evaluated the first on-line intelligent wavelet filter to amplify
embolic signals building on our previous work in detection. Our intelligent wavelet
amplifier uses the matching filter properties of the Daubechies 8th order wavelet to
amplify embolic signals. Even the smallest embolic signal is enhanced without affecting
the background blood flow signal. We show an increase of over 2db (on average) in
embolic signal strength and an improvement in detection of 10-20%.
stroke. Embolic signals have characteristic transient chirps suitable for wavelet analysis.
We have implemented and evaluated the first on-line intelligent wavelet filter to amplify
embolic signals building on our previous work in detection. Our intelligent wavelet
amplifier uses the matching filter properties of the Daubechies 8th order wavelet to
amplify embolic signals. Even the smallest embolic signal is enhanced without affecting
the background blood flow signal. We show an increase of over 2db (on average) in
embolic signal strength and an improvement in detection of 10-20%.
Date Issued
2004-01-01
Citation
Departmental Technical Report: 04/7, 2004, pp.1-8
Publisher
Department of Computing, Imperial College London
Start Page
1
End Page
8
Journal / Book Title
Departmental Technical Report: 04/7
Copyright Statement
© 2004 The Author(s). This report is available open access under a CC-BY-NC-ND (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Publication Status
Published
Article Number
04/7