Detection and Structured Representation of Waveforms (Qrs Complexes) in Electrocardiogram Records
Original Publication Date: 1986-Jan-01
Included in the Prior Art Database: 2005-Mar-08
This article describes a technique which solves the problem of rapidly detecting, locating and characterizing the shape of heartbeat waveforms (QRS complexes) in long electrocardiogram records. Long electrocardiogram (ECG) records contain large amounts of digitized data which must be processed either manually or by computer to detect heartbeat waveforms, and classify them as normal or abnormal. This article describes a method for detecting the waveforms (QRS complexes) and representing them in a way which permits rapid classification in subsequent processing. The structured representation of the waveform is obtained for each ECG channel by the following steps: 1. Any of several simple common methods of smoothing or filtering are used to remove some of the high-frequency components of the original data.