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Template waveform recognition applied to ECGVCG analysis

✍ Scribed by J.H. van Bemmel; J.L. Talmon; J.S. Duisterhout; S.J. Hengeveld

Publisher: Elsevier Science
Year: 1973
Tongue: English
Weight: 656 KB
Volume: 6
Category: Article
ISSN: 0010-4809
DOI: 10.1016/0010-4809(73)90076-1

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✦ Synopsis

Waveform recognition in biological signals is hampered by the variability of the waveforms and the superimposed noise. A method is presented which enables the recognition of onsets or offsets or other points of interest in waveforms, using templates with amplitude-time properties. The method is illustrated with the help of the automatic recognition of begin and end points of QRS complexes. The template is found by the analysis of a learning population of waveforms, recognized beforehand by human observers. The mathematical relationship with other wave recognition methods is indicated: threshold detection, least-squares fitting. The template can be explained in terms of a set of weighted multilevel threshold detectors.

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