A Signal Processing Method for Artefact Rejection in Transcranial Doppler Signals used for Micro-embolus detection
| Autor: | Ali Mcheick, Jean-Marc Girault, Sébastien Ménigot, Maroun Geryes, Jamal Charara, Ahmad Skaiky |
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| Přispěvatelé: | Université Libanaise, ESEO-GSII (GSII), ESEO-Tech, Université Bretagne Loire (UBL)-Université Bretagne Loire (UBL), Laboratoire d'Acoustique de l'Université du Mans (LAUM), Le Mans Université (UM)-Centre National de la Recherche Scientifique (CNRS), Arts, Sciences and Technology University in Lebanon |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Acoustics 030204 cardiovascular system & hematology Signal 03 medical and health sciences symbols.namesake High intensity transient signals 0302 clinical medicine Embolus unidirectional artefacts [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] Signal processing Holter TCD Transcranial Doppler respiratory tract diseases body regions bidirectional arte- facts symbols cardiovascular system [SDV.IB]Life Sciences [q-bio]/Bioengineering sense organs Doppler effect artefact rejection [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing 030217 neurology & neurosurgery Energy (signal processing) |
| Zdroj: | ICABME 2019 ICABME 2019, Oct 2019, Tripoli, Lebanon. ⟨10.1109/ICABME47164.2019.8940150⟩ |
| DOI: | 10.1109/ICABME47164.2019.8940150⟩ |
| Popis: | Atefacts are classified as High Intensity Transient Signals appearing in the Doppler signal, during TCD recording. Artefacts could be caused by probe tapping or displacement, movement of the patient as well as various external factors. In Holter TCD, the number of artefacts are further increased due to the servo-controlled probe positioning and long recording time. Current artefact rejection methods must be adapted to the new holter devices. Therefore, in this paper we present a complete procedure for eliminating two types of artefacts that occur during Holter TCD. The latter two types are bidirectional areftact, occurring in the energy of both positive and negative frequencies, and unidirectional artefacts occuring only in the energy of the negative frequencies. From a dataset of 25 signals, 218 artefact signatures were identified; 95% of which are bidirectional and 5% unidirectional. As a final result, 98% of the artefacts where successfully removed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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