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A Semi-Automatic Feature Detection Algorithm for Hemodynamic Signals using Curvature-Based Feature Extraction

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3 Author(s)
Mynard, J.P. ; Murdoch Children's Res. Inst., Melbourne ; Penny, D.J. ; Smolich, J.J.

Specific features of hemodynamic signals are invaluable for elucidating ventricular and vascular function. A semi-automatic algorithm is presented that enables accurate detection of any feature in any hemodynamic signal, using feature extraction from local maxima and minima in signal curvature. A particular feature is selected manually in the first beat and then detected automatically in subsequent beats.

Published in:

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Date of Conference:

22-26 Aug. 2007

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