ArticlePloS one2012
Beat-to-beat vectorcardiographic analysis of ventricular depolarization and repolarization in myocardial infarction.
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 10 papers.
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Who cites it
10 citing papers in PubMed, 34 citations in OpenAlex.
- Butorphanol or a Combination of Ketamine and Xylazine Do Not Interfere With Arrhythmogenic Parameters in Agoutis (Dasyprocta prymnolopha) Obtained Through High-Resolution Electrocardiogram.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2025Article
- Reliable Detection of Myocardial Ischemia Using Machine Learning Based on Temporal-Spatial Characteristics of Electrocardiogram and Vectorcardiogram.Frontiers in physiology · 2022Article
- Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease.Frontiers in physiology · 2022Review
- Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning.Frontiers in physiology · 2022Article
- Minimally invasive system to reliably characterize ventricular electrophysiology from living donors.Scientific reports · 2020Article
- Heart Rate Dependency and Inter-Lead Variability of the T Peak - T End Intervals.Frontiers in physiology · 2020Article
- Toward a novel semi-invasive activation mapping tool for the diagnosis of supraventricular arrhythmias from the esophagus.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019Observational
- Repolarization variability independent of heart rate during sympathetic activation elicited by head-up tilt.Medical & biological engineering & computing · 2019Article
- A new way of quantifying diagnostic information from multilead electrocardiogram for cardiac disease classification.Healthcare technology letters · 2014Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesIncreased beat-to-beat variability in the QT interval has been associated with heart disease and mortality. The purpose of this study was to investigate the beat-to-beat spatial and temporal variations of ventricular depolarization and repolarization in vectorcardiogram (VCG) for characterising myocardial infarction (MI) patients.
methodsStandard 12-lead ECGs of 84 MI patients (22 f, 63±12 yrs; 62 m, 56±10 yrs) and 69 healthy subjects (17 f, 42±18 yrs; 52 m, 40±13 yrs) were investigated. To extract the beat-to-beat QT intervals, a template-matching algorithm and the singular value decomposition method have been applied to synthesise the ECG data to VCG. Spatial and temporal variations in the QRS complex and T-wave loops were studied by investigating several descriptors (point-to-point distance variability, mean loop length, T-wave morphology dispersion, percentage of loop area, total cosine R-to-T).
resultsPoint-to-point distance variability of QRS and T-loops (0.13±0.04 vs. 0.10±0.04, p< 0.0001 and 0.16±0.07 vs. 0.13±0.06, p< 0.05) were significantly larger in the MI group than in the control group. The average T-wave morphology dispersion was significantly higher in the MI group than in the control group (62°±8° vs. 38°±16°, p< 0.0001). Further, its beat-to-beat variability appeared significantly lower in the MI group than in the control group (12°±5° vs. 15°±6°, p< 0.005). Moreover, the average percentage of the T-loop area was found significantly lower in the MI group than the controls (46±17 vs. 55±15, p< 0.001). Finally, the average and beat-to-beat variability of total cosine R-to-T were not found statistically significant between both groups.
conclusionsBeat-to-beat assessment of VCG parameters may have diagnostic attributes that might help in identifying MI patients.
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