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

作者: Quin-Lan Cheng , Ho Soo Lee , Nitish V. Thakor

DOI: 10.1016/0010-4809(87)90031-0

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

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