ECG waveform analysis by significant point extraction. II. Pattern matching

Quin Lan Cheng, Ho Soo Lee, Nitish V. Thakor

Research output: Contribution to journalArticlepeer-review


From a set of significant points which characterizes the ECG waveform, the pattern matching algorithm detects and classifies QRS complexes. R waves are detected from the analysis of global curvature. Next, the morphology of the QRS complex is determined. QRS complexes with different morphologies are classified by a correlation algorithm. This method is sensitive to changes in shape, such as that of abnormal QRS complexes. The algorithm should be useful in automated analysis of waveforms, such as ECG signals recorded in clinical environments.

Original languageEnglish (US)
Pages (from-to)428-442
Number of pages15
JournalComputers and Biomedical Research
Issue number5
StatePublished - Oct 1987

ASJC Scopus subject areas

  • Medicine (miscellaneous)


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