Real time extraction of ECG fiducial points using shape based detection

摘要: The electrocardiograph (ECG) is a common clinical and biomedical research tool used for both diagnostic prognostic purposes. In recent years computer aided analysis of the ECG has enabled cardiographic patterns to be found which were hitherto not apparent. Many these analyses rely upon segmentation into separate time delimited waveforms. instants delimiting segments are called “fiducial points”. Rapid automatic identification fiducial points task engineer needs perform as prerequisite further analysis. To researcher, post-processing pre-recorded results an acceptable mode However staff require immediate real-time diagnosis. This thesis concerned with detection using methods lend themselves analysis, suitable use in development systems intended environments where for. By way introduction, examination contemporary point presented, followed by discussion conventional assessing their performance. It that assessment methods, whilst widely used, only mathematically imprecise but formed such useful engineer, clinician. An alternative measure overcomes problems proposed, examples presented demonstrate how proposed new can used. Secondly, novel method peak presented. Since