Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Online Algorithm for Velocity Estimation in Ultrasonic Doppler Measurement

Authors
Enyao Shang, Jinchun Hu, Shengwu Du
Corresponding Author
Enyao Shang
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.54How to use a DOI?
Keywords
online algorithm; velocity estimation; ultrasonic; Doppler; filter
Abstract
Ultrasonic Doppler technique is widely used for velocity estimation in medical electronic systems. This technique is signal-processing intensive with an increasing requirement on accuracy, real time and stability. The clutter caused by human tissues contains little information about blood flow velocity. Since conventional algorithms are based on an idealized signal model where the residual clutter is not fully considered, high-performance filters are required for clutter rejection in ultrasonic Doppler measurement. This paper focuses on how to extract the velocity information from ultrasonic echo signals without extra filters. We presented an online algorithm that identified the clutter as unknown parameters instead of filtering. The algorithm does not rely on the performance of extra clutter filters. Simulation results show that this algorithm is simpler and more stable than conventional correlation algorithms.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.54How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Enyao Shang
AU  - Jinchun Hu
AU  - Shengwu Du
PY  - 2018/02
DA  - 2018/02
TI  - Online Algorithm for Velocity Estimation in Ultrasonic Doppler Measurement
BT  - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.54
DO  - https://doi.org/10.2991/csece-18.2018.54
ID  - Shang2018/02
ER  -