An Emboli Detection System Based on Dual Tree Complex Wavelet Transform

Serbes, Görkem; Şakar, Betül Erdoğdu; Aydin, Nizamettin; Gülçür, Halil Özcan

doi:10.1007/978-3-319-00846-2_203

Cited by 6 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When using single-gated TCDs, the leading method for artefact rejection depends on a strong hypothesis stating that in the Doppler blood flow velocity spectrum artefacts are bidirectional while emboli are unidirectional. This method has been extensively stated by [6], [7], [8], [9] and [10], although the latter studies did not present or prove the artefact rejection phase. This means that artefacts exhibit velocity components both in the forward and reverse flows while emboli exhibit velocity components in the forward flow only.…”

Section: A Pre-considerationsmentioning

confidence: 99%

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

Geryes

Ménigot

Charara

et al. 2019

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

View full text Add to dashboard Cite

Atefacts 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.

show abstract

Section: A Pre-considerationsmentioning

confidence: 99%

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

Geryes

Ménigot

Charara

et al. 2019

2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME)

View full text Add to dashboard Cite

show abstract

“…Traditionally, after obtaining directional signals, timefrequency or time-scale representations based processing methods are applied to these directional signals for further applications such as de-noising and emboli detection [3], [4]. In the scale domain, a complex continuous wavelet transform algorithm which maps the directional information, while doing the analysis, was introduced in [5].…”

Section: Introductionmentioning

confidence: 99%

Symmetrical directional dual-tree complex wavelet packet transform

Serbes

Gülçür

Aydin

2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

In this study, a symmetrical directional complex discrete wavelet packet transform, which can be applied directly to the quadrature format signals and has the ability of mapping directional information during decomposition stage, is proposed. With the proposed symmetrical directional complex wavelet packet transform, traditional symmetrical phasing filter technique, which is used for quadrature signal to directional signal conversion, is eliminated and the computational complexity of whole process is reduced. The performance of proposed method is examined in detail using real quadrature embolic signals.

show abstract