Volume 29, Issue 9 p. 964-976
Computational Methods for Biomedical Image Processing and Analysis

STFT or CWT for the detection of Doppler ultrasound embolic signals

Ivo B. Gonçalves

Corresponding Author

DEEI/FCT, Universidade do Algarve, Campus de Gambelas 8005‐139 Faro, Portugal

Correspondence to: Ivo B. Gonçalves, DEEI/FCT, Universidade do Algarve, Campus de Gambelas 8005‐139 Faro, Portugal.

E‐mail: ibelchior@gmail.com

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Ana Leiria

DEEI/FCT & Centro de Investigação sobre o Espaço e as Organizações, Universidade do Algarve

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M. M. M. Moura

DEEI/FCT & Centro de Investigação sobre o Espaço e as Organizações, Universidade do Algarve

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First published: 10 April 2013
Citations: 5

SUMMARY

Aiming reliable detection and localization of cerebral blood flow and emboli, embolic signals were added to simulated middle cerebral artery Doppler signals and analysed. Short‐time Fourier transform (STFT) and continuous wavelet transform (CWT) were used in the evaluation. The following parameters were used in this study: the powers of the embolic signals added were 5, 6, 6.5, 7, 7.5, 8 and 9 dB; the mother wavelets for CWT analysis were Morlet, Mexican hat, Meyer, Gaussian (order 4) and Daubechies (orders 4 and 8); and the thresholds for detection (equated in terms of false positive, false negative and sensitivity) were 2 and 3.5 dB for the CWT and STFT, respectively. The results indicate that although the STFT allows accurately detecting emboli, better time localization can be achieved with the CWT. Among the CWT, the current best overall results were obtained with Mexican Hat mother wavelet, with optimal results for sensitivity (100% detection rate) for nearly all emboli power values studied. Copyright © 2013 John Wiley & Sons, Ltd.

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