Automatic detection of emboli in the TCD RF signal using principal component analysis

Cowe, Joanne; Evans, David H.

doi:10.1016/j.ultrasmedbio.2006.06.019

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…Therefore, practical implementation of this idea involves a measured EBR (MEBR) which is dened as a ratio of powers of signals from a sample volume in the presence and absence of embolic events [33].…”

Section: Discussionmentioning

confidence: 99%

The Application of Ultrasonic Methods to Flow Measurement and Detection of Microembolus in Heart Prostheses

et al. 2013

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For the last 20 years the world cardiosurgery has presented a considerable change of attitude to mechanical circulatory support. In spite of technological progress the main problems in ventricular assist devices are: thrombosis and low accuracy of ow measurements. In this paper the prototype of multi-gate Doppler owmeter intended for cardiac assist system ReligaHeart EXT has been presented as well as the possibility of ultrasonic microembolus detection.

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Section: Discussionmentioning

confidence: 99%

The Application of Ultrasonic Methods to Flow Measurement and Detection of Microembolus in Heart Prostheses

et al. 2013

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“…The entire principal components form an orthogonal basis in the feature space and each principal component is orthogonal to the others so there is no redundant information. The first principal component axis occupies the maximal amount of total variance in the feature space, and the second principal component axis occupies the most remaining variance etc [7]. …”

Section: Principal Components Analysismentioning

confidence: 99%

The generation mechanism of synthetic minority class examples

Tang

Chen

2008

2008 International Conference on Technology and Applications in Biomedicine

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Abstract-The class imbalance problem, which exists in the field of medical image analysis universally, may cause a significant deterioration to the performance of the standard classifiers. In this paper, the related work on dealing with class imbalance is firstly reviewed, and then a proper generation mechanism of synthetic minority class examples is discussed. According to the analysis, a novel oversampling algorithm with synthetic examples, ADOMS, is proposed by generating synthetic examples along the first principal component axis of local data distribution. The experiments are arranged on 12 UCI datasets and the experimental results show that comparing with other relative methods, algorithm ADOMS is able to alleviate the deterioration of the classification performance effectively.

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“…Another interesting point was based on the radio-frequency (RF) signal instead of the Doppler signal. Initial works were done by [31,32,33], then lot of research teams performed a classification of high intensity transient signals (HITS). Machine learning approaches such as support vector machine, knearest neighboors, neural network [34,35] showed that it was possible to discriminate in vitro gaseous bubbles from solid micro-emboli.…”

mentioning

confidence: 99%

An overview of nearly a half century of microembolic signal processing techniques

Girault¹,

Geryes

Charara

et al. 2019

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

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Micro-emboli detection for patients with high risk of strokes has been performed with transcranial Doppler (TCD) systems since 1969. As a consequence, instrumentation of TCD systems progressed with the introduction of multigate systems, power mode systems and robotized probes, to name but a few. These new types of TCD have increase the chance of robust detections of quite big micro-emboli and at the same time increased the efficiency of artefact rejection.For a couple of years now, it is now possible to prevent cerebrovascular accidents (CVA) by detecting very small micro-emboli, the latter being precursor signs of strokes. For this sake, a new generation of transcranial Doppler (TCD) systems (holter) is used to record examinations of long duration. In an attempt to detect the smallest possible micro-emboli, offline softwares based on recent signal processing techniques complete advantageously these holter systems.In this communication, an overview of fifty years of research developments in embolic signal processing is proposed. What is interesting during this adventure of a half century is that detection methods were inspired as signal processing discoveries coming from speech processing to econometric. With the advent of the artificial intelligence, new challenges are being drawn up.

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Automatic detection of emboli in the TCD RF signal using principal component analysis

Cited by 9 publications

References 7 publications

The Application of Ultrasonic Methods to Flow Measurement and Detection of Microembolus in Heart Prostheses

The Application of Ultrasonic Methods to Flow Measurement and Detection of Microembolus in Heart Prostheses

The generation mechanism of synthetic minority class examples

An overview of nearly a half century of microembolic signal processing techniques

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