title: ECG waveform analysis by significant point extraction. II. Pattern matching.
abstract: 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.
authors: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205.
authors: Q L
authors: QL
authors: Cheng
authors: H S
authors: HS
authors: Lee
authors: N V
authors: NV
authors: Thakor
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted