Online identifying and quantifying Doppler ultrasound waveforms
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A microcomputer-based system is described for automatically identifying and quantifying the maximum peripheral arterial velocity waveforms obtained with a Doppler ultrasound spectrum analyser. A waveform identification algorithm is used to determine the beginning and end points of each waveform without the use of an e.c.g. trigger. A second algorithm calculates the pulsatility index. Experience in the use of these algorithms over a two-year period on 2500 patients is discussed. On 400 consecutive normal and abnormal recordings, wareform identification was 96% correct.
KeywordsArterial disease Doppler ultrasound Microcomputer Pulsatility index
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