Optimization of processing parameters for the analysis and detection of embolic signals.
The fast Fourier transform (FFT), which is employed by all commercially available ultrasonic systems, provides a time-frequency representation of Doppler ultrasonic signals obtained from blood flow. The FFT assumes that the signal is stationary within the analysis window. However, the presence of short duration embolic signals invalidates this assumption. For optimal detection of embolic signals if FFT is used for signal processing, it is important that the FFT parameters such as window size, window type, and required overlap ratio should be optimized. The effect of varying window type, window size and window overlap ratio were investigated for both simulated embolic signals, and recorded from patients with carotid artery stenosis. An optimal compromise is the use of a Hamming or Hanning window with a FFT size of 64 (8.9 ms) or 128 (17.9 ms). A high overlap ratio should also be employed in order not to miss embolic events occurring at the edges of analysis windows. The degree of overlap required will depend on the FFT size. The minimum overlap should be 65% for a 64-point window and 80% for a 128-point window.
Aydin
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N
Division of Clinical Neuroscience, St George's Hospital Medical School, Cranmer Terrace, SW17 0RE, London, UK. n.aydin@sghms.ac.uk
Markus
H S
HS
D001783:Blood Flow Velocity; D003937:Diagnosis, Differential; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020766:Intracranial Embolism / Q000000981:diagnostic imaging* / Q000503:physiopathology; D020768:Middle Cerebral Artery / Q000000981:diagnostic imaging; D015203:Reproducibility of Results; D017585:Ultrasonography, Doppler, Transcranial / Q000592:standards