DWT based adaptive threshold determination in embolic signal detection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Early and accurate detection of emboli is important for monitoring of preventive therapy in stroke-prone patients. An embolic signal caused by emboli can be detected by Doppler ultrasound. Embolic signals are highly nonstationary and last only for a short time. Advanced processing methods are required to distinguish these signals from Doppler signals arising from red blood cells and artifacts. Any detection method involving change detection must rely on determination of an appropriate threshold. In this paper, an adaptive threshold determination method based on discrete wavelet transform (DWT) and statistical properties of the data under investigation is described. The results reveal that the proposed adaptive threshold results in a robust embolic signal detection system.

Original languageEnglish
Title of host publicationProceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007
Pages214-219
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007 - Edinburgh, United Kingdom
Duration: 5 Aug 20078 Aug 2007

Publication series

NameProceedings - 2007 NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007

Conference

Conference2007 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AHS-2007
Country/TerritoryUnited Kingdom
CityEdinburgh
Period5/08/078/08/07

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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