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Enhanced Weak Doppler Micro-Embolic Signal Detection using Energy Fluctuations

Abstract : Ultrasound transcranial Holter offers the possibility of long-duration recordings with the micro-emboli detection process being performed offline. This offline detection allows developing much more robust micro-embolic detection procedures and applications. From a signal processing perspective, most commercial automatic detection systems, based on the short time Fourier transform, employ constant detection thresholds either on the whole band or on sub-bands. However, earlier studies highlighted many doubts about the accuracy and robustness of these systems for the detection of weak micro-embolic signatures. In this work, we present an original detection technique based on energy fluctuations as a strong tool for the detection of the weakest micro-embolic signal. Results, from a set of real signals, show a detection rate of 92% and a false alarm rate of 10%. These good performances lead us to consider the proposed technique as a good candidate to detect weak micro-embolic signals.
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https://hal.archives-ouvertes.fr/hal-01860144
Contributeur : Ménigot Sébastien <>
Soumis le : jeudi 4 octobre 2018 - 09:34:21
Dernière modification le : mardi 8 décembre 2020 - 09:59:49
Archivage à long terme le : : samedi 5 janvier 2019 - 12:12:51

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Maroun Geryes, Sébastien Ménigot, Jamal Charara, Mohammad Nasserdine, Ali Mcheick, et al.. Enhanced Weak Doppler Micro-Embolic Signal Detection using Energy Fluctuations. Biomedical Signal Processing and Control, Elsevier, 2019, 47, pp.177-182. ⟨10.1016/j.bspc.2018.08.020⟩. ⟨hal-01860144⟩

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