Abstract
Transcranial Doppler ultrasound has been successfully used in the evaluation of cerebrovascular pathologies such as stroke which is a very critical condition. Special micro-embolic signals, which are caused by the clots that can block blood vessels in brain, show themselves as an increase in reflected Doppler energy and can be used as the early indicator of stroke. Fourier Transform and wavelet transform, which are the classical frequency based linear decomposition methods, cannot totally separate micro-embolic signals from other high intensity signals like artifact and Doppler speckle. Therefore, in this study, a new non-linear resonance based decomposition method is proposed for eliminating artifact signals in Doppler ultrasound signals. The results indicate that with the proposed method micro-embolic signals can be successfully extracted and high intensity artifacts can be separated even if in high noise conditions.
| Translated title of the contribution | Resonance based pre-processing method for eliminating artifacts in Doppler ultrasound signals |
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| Original language | Turkish |
| Title of host publication | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509064946 |
| DOIs | |
| Publication status | Published - 27 Jun 2017 |
| Externally published | Yes |
| Event | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017 |
Publication series
| Name | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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Conference
| Conference | 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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| Country/Territory | Turkey |
| City | Antalya |
| Period | 15/05/17 → 18/05/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
