ReviewJournal of medical and biological engineering2017
ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review.
Review in Journal of medical and biological engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Arrhythmic risk stratification in psoriatic arthritis: a retrospective, electrogram-based comparative analysis.RMD open · 2026Article
- Early changes in depolarization and repolarization after catheter ablation of ventricular tachycardia in ischemic cardiomyopathy.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2026Article
- Low-Temperature Sintering Inks for Printed Bioelectronics: Materials, Mechanisms, and Emerging Ideas.Biosensors · 2026Review
- Evaluation of Arrhythmia Risk in Children with Type 1 Diabetes MellitusJournal of clinical research in pediatric endocrinology · 2025Article
- A Multimodal Dataset of Cardiac, Electrodermal, and Environmental Signals.Scientific data · 2025Article
- Exercise-Induced Electrocardiographic Changes in Healthy Young Males with Early Repolarization Pattern.Diagnostics (Basel, Switzerland) · 2024Article
- An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG).PloS one · 2024Article
- Electrocardiographic abnormalities in patients with COVID-19 pneumonia and raised interleukin-6.Journal of family medicine and primary care · 2022Article
- Review
- Electrocardiographic markers of increased risk of sudden cardiac death in patients with COVID-19 pneumonia.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021Observational
- Evaluation of Electrocardiographic Ventricular Depolarization and Repolarization Variables in Type 1 Diabetes Mellitus.Arquivos brasileiros de cardiologia · 2020Article
- ECG-based prediction algorithm for imminent malignant ventricular arrhythmias using decision tree.PloS one · 2020Article
- A Deviation Analysis Framework for ECG Signals Using Controlled Spatial Transformation.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2019Article
- The effect of type 2 diabetes on electrocardiographic markers of significant cardiac events.Pakistan journal of medical sciencesArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many studies showed electrocardiogram (ECG) parameters are useful for predicting fatal ventricular arrhythmias (VAs). However, the studies have several shortcomings. Firstly, all studies lack of effective way to present behavior of various ECG parameters prior to the occurrence of the VAs. Secondly, they also lack of discussion on how to consider the parameters as abnormal. Thirdly, the reports do not include approaches to increase the detection accuracy for the abnormal patterns. The purpose of this study is to address the aforementioned issues. It identifies ten ECG parameters from various sources and then presents a review based on the identified parameters. From the review, it has been found that the increased risk of VAs can be represented by presence and certain abnormal range of the parameters. The variation of parameters range could be influenced by either gender or age. This study also has discovered the facts that averaging, outliers elimination and morphology detection algorithms can contribute to the detection accuracy.
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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.