QRS DETECTION THROUGH TIME RECURSIVE PREDICTION TECHNIQUES

This paper demonstrates the usefulness of time recursive prediction techniques for 'event detection'. Both 3-lead and 1-lead ECG signals are used and QRS complexes are considered as events to be detected. Several detection criteria are tried and compared. A reference algorithm is employed on a standard ECG data base in order to evaluate the results obtained. A detection accuracy approximating 99% can be reported. Histograms presenting the relative position of detected QRSs to the reference value can be used for validation of the method and to understand the behavior of recursive least squares algorithms on a specific signal.