ArticlePloS one2012
Conventional QT variability measurement vs. template matching techniques: comparison of performance using simulated and real ECG.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 52 citations in OpenAlex.
- Model-based evaluation of drug-induced QTc prolongation for compounds in early development.British journal of clinical pharmacology · 2015Trial
- An efficient online peak detection algorithm for synchronized intestinal electrical stimulation and its application for treating diabetes.Medical & biological engineering & computing · 2023Article
- A three-month physical training program improves cardiovascular autonomic function in patients with metabolic syndrome with and without diabetes - a pilot study.Frontiers in endocrinology · 2023Article
- The Neuroimmune Response to Surgery - An Exploratory Study of Trauma-Induced Changes in Innate Immunity and Heart Rate Variability.Frontiers in immunology · 2022Observational
- Article
- ECG MultileadJournal of healthcare engineering · 2019Article
- Concomitant Evaluation of Heart Period and QT Interval Variability Spectral Markers to Typify Cardiac Control in Humans and Rats.Frontiers in physiology · 2019Article
- Article
- Increased Short-Term Beat-to-Beat QT Interval Variability in Patients with Impaired Glucose Tolerance.Frontiers in endocrinology · 2017Article
- Article
- QT interval variability in body surface ECG: measurement, physiological basis, and clinical value: position statement and consensus guidance endorsed by the European Heart Rhythm Association jointly with the ESC Working Group on Cardiac Cellular Electrophysiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2016Article
- Ventricular repolarization measures for arrhythmic risk stratification.World journal of cardiology · 2016Review
- T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement.Frontiers in physiology · 2016Article
- Rationale and design for the Predictors of Arrhythmic and Cardiovascular Risk in End Stage Renal Disease (PACE) study.BMC nephrology · 2015Article
- Symbolic dynamics to discriminate healthy and ischaemic dilated cardiomyopathy populations: an application to the variability of heart period and QT interval.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2015Article
- Autonomic control of heart rate and QT interval variability influences arrhythmic risk in long QT syndrome type 1.Journal of the American College of Cardiology · 2015Article
- Article
- Repolarization lability measured on 10-second ECG by spatial TT' angle: reproducibility and agreement with QT variability.Journal of electrocardiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
Abstract
Increased beat-to-beat variability in the QT interval (QTV) of ECG has been associated with increased risk for sudden cardiac death, but its measurement is technically challenging and currently not standardized. The aim of this study was to investigate the performance of commonly used beat-to-beat QT interval measurement algorithms. Three different methods (conventional, template stretching and template time shifting) were subjected to simulated data featuring typical ECG recording issues (broadband noise, baseline wander, amplitude modulation) and real short-term ECG of patients before and after infusion of sotalol, a QT interval prolonging drug. Among the three algorithms, the conventional algorithm was most susceptible to noise whereas the template time shifting algorithm showed superior overall performance on simulated and real ECG. None of the algorithms was able to detect increased beat-to-beat QT interval variability after sotalol infusion despite marked prolongation of the average QT interval. The QTV estimates of all three algorithms were inversely correlated with the amplitude of the T wave. In conclusion, template matching algorithms, in particular the time shifting algorithm, are recommended for beat-to-beat variability measurement of QT interval in body surface ECG. Recording noise, T wave amplitude and the beat-rejection strategy are important factors of QTV measurement and require further investigation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.