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.
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.
Authors: Nkechi E Azie; Gregory Adams; Borje Darpo; Steven F Francom; Emery C Polasek; Joy M Wisser; Joseph C Fleishaker Journal: Ann Noninvasive Electrocardiol Date: 2004-04 Impact factor: 1.468
Authors: J L Willems; P Arnaud; J H van Bemmel; P J Bourdillon; R Degani; B Denis; F M Harms; P W Macfarlane; G Mazzocca; J Meyer Journal: Comput Biomed Res Date: 1985-10
Authors: S Y A Cheung; J Parkinson; U Wählby-Hamrén; C D Dota; Å M Kragh; L Bergenholm; T Vik; T Collins; C Arfvidsson; C E Pollard; H K Tomkinson; B Hamrén Journal: J Pharmacokinet Pharmacodyn Date: 2018-05-07 Impact factor: 2.745