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A Signal Processing Method for Artefact Rejection in Transcranial Doppler Signals used for Micro-embolus detection

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  • معلومة اضافية
    • Contributors:
      الجامعة اللبنانية بيروت = Lebanese University Beirut = Université libanaise Beyrouth (LU / ULB); ESEO-GSII (GSII); ESEO-Tech; Université Bretagne Loire (UBL)-École supérieure d'électronique de l'ouest Angers (ESEO)-Université Bretagne Loire (UBL)-École supérieure d'électronique de l'ouest Angers (ESEO); 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
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2019
    • Collection:
      Le Mans Université: Archives Ouvertes (HAL)
    • الموضوع:
    • نبذة مختصرة :
      International audience ; Artefacts are High Intensity Transient Signals that appear in the Doppler signal due to probe tapping, probe displacement, patient movement and other external factors during TCD recording. 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.
    • Relation:
      hal-02346758; https://hal.science/hal-02346758; https://hal.science/hal-02346758/document; https://hal.science/hal-02346758/file/1570560411.pdf
    • الرقم المعرف:
      10.1109/ICABME47164.2019.8940150
    • الدخول الالكتروني :
      https://doi.org/10.1109/ICABME47164.2019.8940150
      https://hal.science/hal-02346758
      https://hal.science/hal-02346758/document
      https://hal.science/hal-02346758/file/1570560411.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.D5D10E7D