Methodology of the Modular ECG Analysis System MEANS

Bemmel, Jan H. van; Kors, Jan A.; Herpen, Gerard van

doi:10.1055/s-0038-1634805

Cited by 234 publications

(20 citation statements)

References 22 publications

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“…For data processing, the Modular ECG Analysis System (MEANS), our ECG computer program, 20 was used. The operation of the waveform recognition algorithms has been described and validated extensively.…”

Section: Measurementsmentioning

confidence: 99%

“…The operation of the waveform recognition algorithms has been described and validated extensively. 20,21 MEANS determines common QRS onset and offset and T offset for all 12 leads together on 1 representative averaged beat by use of template matching techniques. 22 For QTD measurement, the location of the overall end of T is taken as a starting point.…”

Section: Measurementsmentioning

confidence: 99%

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QT Dispersion as an Attribute of T-Loop Morphology

1999

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Section: Measurementsmentioning

confidence: 99%

Section: Measurementsmentioning

confidence: 99%

QT Dispersion as an Attribute of T-Loop Morphology

1999

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“…The ECGs were processed by our Modular ECG Analysis System (MEANS), an ECG computer program that has been evaluated extensively (van Bemmel et al, 1990; Willems et al, 1991). MEANS signals excessive noise and baseline wander, recognizes ectopic beats and the various forms of AV block.…”

Section: Methodsmentioning

confidence: 99%

Normal Values of QT Variability in 10-s Electrocardiograms for all Ages

et al. 2019

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Aims: QT variability is a promising electrocardiographic marker. It has been studied as a screening tool for coronary artery disease and left ventricular hypertrophy, and increased QT variability is a known risk factor for sudden cardiac death. Considering that comprehensive normal values for QT variability were lacking, we set out to establish these in standard 10-s electrocardiograms (ECGs) covering both sexes and all ages.Methods: Ten-second, 12-lead ECGs were provided by five Dutch population studies (Pediatric Normal ECG Study, Leiden University Einthoven Science Project, Prevention of Renal and Vascular End-stage Disease Study, Utrecht Health Project, Rotterdam Study). ECGs were recorded digitally and processed by well-validated analysis software. We selected cardiologically healthy participants, 46% being women. Ages ranged from 11 days to 91 years. After quality control, 13,828 ECGs were available. We assessed three markers: standard deviation of QT intervals (SDqt), short-term QT variability (STVqt), and QT variability index (QTVI).Results: For SDqt and STVqt, the median and the lower limit of normal remained stable with age. The upper limit of normal declined until around age 45, and increased strongly in the elderly, notably so in women. This implies that a subset of the population, small enough not to have appreciable effect on the median, shows a high degree of QT variability with a possible risk of arrhythmias or worse, especially in women. Otherwise, sex differences were negligible in all three measurements. For QTVI, median, and normal limits decreased until age 20, and steadily went up afterwards except for the lower limit of normal, which flattens off after age 65.Conclusion: We report the first set of normal values for QT variability based on 10-s ECGs, for all ages and both sexes.

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“…Standard 12-lead supine digital resting ECGs were recorded in FD patients and control subjects (GE MAC5500, 500 samples/s). The obtained ECGs were processed with the Modular ECG Analysis System (MEANS) program, which determines P-wave, QRS and T-wave onsets and offsets for all 12 leads together on one representative averaged beat [27]. All on-and offsets were manually checked and adjusted when needed.…”

Section: Ecg Processing and Analysismentioning

confidence: 99%

ECG Changes during Adult Life in Fabry Disease: Results from a Large Longitudinal Cohort Study

et al. 2023

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Background: Fabry disease (FD) is an X-linked, lysosomal storage disorder leading to severe cardiomyopathy in a significant proportion of patients. To identify ECG markers that reflect early cardiac involvement and disease progression, we conducted a long term retrospective study in a large cohort of FD patients. Methods: A total of 1995 ECGs from 133 patients with classical FD (64% females, 80% treated with enzyme replacement therapy), spanning 20 years of follow-up, were compared to ECGs from 3893 apparently healthy individuals. Generalized linear mixed models were used to evaluate the effect of age, FD and sex on: P-wave duration, PR-interval, QRS-duration, QTc, Cornell index, spatial QRS-T angle and frontal QRS-axis. Regression slopes and absolute values for each parameter were compared between FD patients and control subjects. Results: At a younger age (<40 years), the Cornell index was higher and frontal QRS-axis more negative in FD patients compared to controls (p < 0.05). For the other ECG parameters, the rate of change, more than the absolute value, was greater in FD patients compared to controls (p < 0.05). From the fifth decade (men) or sixth (women) onwards, absolute values for P-wave duration, QRS-duration, QTc and spatial QRS-T angle were longer and higher in FD patients compared to control subjects. Conclusions: ECG abnormalities indicative of FD are age and sex dependent. Tracking the rate of change in ECG parameters could be a good way to detect disease progression, guiding treatment initiation. Moreover, monitoring ECG changes in FD can be used to evaluate the effectiveness of treatment.

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Methodology of the Modular ECG Analysis System MEANS

Cited by 234 publications

References 22 publications

QT Dispersion as an Attribute of T-Loop Morphology

QT Dispersion as an Attribute of T-Loop Morphology

Normal Values of QT Variability in 10-s Electrocardiograms for all Ages

ECG Changes during Adult Life in Fabry Disease: Results from a Large Longitudinal Cohort Study

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