A Micro-Embolic Energy Detector based on Sub-band Decomposition
| Autor: | Sébastien Ménigot, Marilys Almar, Walid Hassan, Ali Mcheick, Benoit Guibert, Corinne Gautier, Jean-Marc Girault, Jamal Charara, Maroun Geryes |
|---|---|
| Přispěvatelé: | Université Libanaise, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Atys Medical, Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Sébastien, Ménigot |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Cerebrovascular Accidents
Acoustics transcranial Doppler Constant false alarm rate 03 medical and health sciences symbols.namesake 0302 clinical medicine micro-emboli detection Electronic engineering sub-band decomposition 030212 general & internal medicine cardiovascular diseases [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [SDV.IB] Life Sciences [q-bio]/Bioengineering Physics [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph] Signal processing Blocking (radio) Detector Transcranial Doppler symbols cardiovascular system [SDV.IB]Life Sciences [q-bio]/Bioengineering False alarm Doppler effect [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing 030217 neurology & neurosurgery Energy (signal processing) |
| Zdroj: | Biomedical Engineering (MECBME), 2016 3rd Middle East Conference on MECBME MECBME, Oct 2016, Beirut, Lebanon. pp.54-58, ⟨10.1109/MECBME.2016.7745407⟩ |
| DOI: | 10.1109/MECBME.2016.7745407⟩ |
| Popis: | International audience; Cerebrovascular Accidents can be caused by cerebral emboli blocking brain blood vessels. Analysis of transcranial Doppler signals practically aids the detection of emboli. Signal processing methods have been proposed for emboli detection. In this study, we introduce a new micro-embolic energy detector composed of N detectors associated to N Doppler frequency sub-bands. To test our detectors, we propose a training phase during which we adjust the optimal number of sub-bands and detection thresholds and a testing phase through which we measure performances. Using real signals, we show that in terms of the number of sub-bands, 4 sub-bands provide the highest detection rate and lowest false alarm. Moreover, compared to standard detectors, the 4 sub-band energy detector reduces the false alarm rate from 44% to 36%, increases the detection rate from 66% to 79% and augments the Embolus to Blood Ratio from 24 dB to 40 dB. This new energy detector permits detecting smallest micro-emboli, precursors of coming large emboli with high stroke risks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|