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EN
Embolism - blocking of small arteries by small gaseous or solid bodies - may result in local ischaemia and very serious consequences. The embolizing elements produce ultrasonic Doppler signals with characteristic features. The basic requirement when detecting emboli is to discriminate between the actual embolic signals and the artifacts. The classification algorithm proposed employs signal level data and particle velocity data. The off-line software environment (C++) enables to set the sensitivity and temporal resolution of the analysis. Each analysed event is described with a number of parameters, like onset and duration, velocity at peak power, sample volume length and ratio of the power to the mean power of the signal. Its performance was positively validated on Doppler signals containing embolic signals from either solid and gaseous emboli and artifacts. The off-line software environment proposed is a starting platform for further studies on the emboli detection.
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