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  • Title: PC-Based ECG waveform recognition-validation of novel software against a reference ECG database.
    Author: Dota CD, Edvardsson N, Skallefell B, Fager G.
    Journal: Ann Noninvasive Electrocardiol; 2009 Jan; 14 Suppl 1(Suppl 1):S42-7. PubMed ID: 19143742.
    Abstract:
    BACKGROUND: PC-based ECG measurements must cope with normal as well as pathological ECGs in a reliable manner. EClysis, a software for ECG measurements was tested against reference values from the Common Standards for Quantitative Electrocardiography (CSE) database. METHODS: Digital ECGs (12 leads, 500 Hz) were recorded by the CSE project. Data Set 3 contains reference values for 125 ECGs (33 normal and 92 pathological). Median values of measurements by 11 computer programs and by five cardiologists, respectively, refer to the earliest P and QRS onsets and to the latest P, QRS, and T offsets in any lead of a selected (index) beat. EClysis automatically measured all ECGs, without user interference. RESULTS: The PQRST points were correctly detected but in two ECGs with AV block II-III. The software was not designed to detect atrial activity in atrial fibrillation (n = 9) and flutter (n = 1). In one case of atrial fibrillation, atrial activity interfered with positioning of QRS and T offsets. Regression coefficients between EClysis and CSE (software-generated and human) were above 0.95 (P < 0.0001). The confidence intervals were 95% for the slope and the intercept of the regression lines. CONCLUSIONS: The PC-based detection and analysis of PQRST points showed a high level of agreement with the CSE database reference values.
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