Differences of Ventricular Late Potential between Acute STEMI and NSTEMI Patients

Wang, J; Xt, Sui; Sun, Yingxian; Y, Li; Yang, Guokai; Fang, Xu; Yl, Zhang; Xg, Zhang

doi:10.7727/wimj.2013.035

Cited by 5 publications

(6 citation statements)

References 6 publications

(8 reference statements)

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“…presence, increase and decrease. The presence of three ECG parameters, namely VLP [ 14 , 15 , 17 ], fQRS [ 18 – 21 ] and ER [ 16 , 22 ] could be associated with an increased incidence of ventricular arrhythmic events. These three parameters appear precede the arrhythmic event.…”

Section: The Ten Potential Ecg Parametersmentioning

confidence: 99%

“…The presence of the VLPs can be identified using predefined thresholds. According to studies [ 17 , 35 ], the VLPs exist if three conditions of a filtered QRS duration are met. The first condition is the filtered QRS duration is at least 114 ms. And, the filtered QRS duration that has low amplitude signal (<40 µV) in the terminal portion of the filtered QRS duration of at least 38 ms.…”

Section: The Ten Potential Ecg Parametersmentioning

confidence: 99%

“…This indicates that assuming the VLP has no predictive value for BS patients, an observed result or more extreme result is obtained in 0.3% of experiments. Moreover, another study [ 17 ] showed that assuming the VLP has no predictive value for STEMI patients, an observed result or more extreme result is achieved in less than 5% of experiment.…”

Section: The Ten Potential Ecg Parametersmentioning

confidence: 99%

See 2 more Smart Citations

ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review

Mandala

2017

J. Med. Biol. Eng.

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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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Section: The Ten Potential Ecg Parametersmentioning

confidence: 99%

Section: The Ten Potential Ecg Parametersmentioning

confidence: 99%

Section: The Ten Potential Ecg Parametersmentioning

confidence: 99%

See 1 more Smart Citation

ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review

Mandala

2017

J. Med. Biol. Eng.

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“…The detection of high frequency, microvolt-level cardiac electrical activity in the terminal portion of QRS complexes is the expression of abnormal ECG signals owing to the existence of ventricular late potentials (VLPs). They represent areas of slow conduction resulting from fragmentation of electromotive forces in abnormal areas of ventricular myocardium; in fact, the necrosis or ischemic death of myocardial cells causes the formation of high-resistivity areas where the propagation of cardiac action potential is delayed [9,10] VLPs are considered as electrophysiological indicators both for stratifying the risk of ventricular arrhythmias development in people who are recuperating from myocardial infarction [11,12], and for the early detection of malignant arrhythmias in people having ischemic heart pathology incurring in sudden syncope [13].…”

Section: Introductionmentioning

confidence: 99%

Efficient Detection of Ventricular Late Potentials on ECG Signals Based on Wavelet Denoising and SVM Classification

2019

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The analysis of cardiac signals is still regarded as attractive by both the academic community and industry because it helps physicians in detecting abnormalities and improving the diagnosis and therapy of diseases. Electrocardiographic signal processing for detecting irregularities related to the occurrence of low-amplitude waveforms inside the cardiac signal has a considerable workload as cardiac signals are heavily contaminated by noise and other artifacts. This paper presents an effective approach for the detection of ventricular late potential occurrences which are considered as markers of sudden cardiac death risk. Three stages characterize the implemented method which performs a beat-to-beat processing of high-resolution electrocardiograms (HR-ECG). Fifteen lead HR-ECG signals are filtered and denoised for the improvement of signal-to-noise ratio. Five features were then extracted and used as inputs of a classifier based on a machine learning approach. For the performance evaluation of the proposed method, a HR-ECG database consisting of real ventricular late potential (VLP)-negative and semi-simulated VLP-positive patterns was used. Experimental results show that the implemented system reaches satisfactory performance in terms of sensitivity, specificity accuracy, and positive predictivity; in fact, the respective values equal to 98.33%, 98.36%, 98.35%, and 98.52% were achieved.

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“…Among the most commonly employed VLPs have been the coat proteins of MS2 and PP7. Here we report a set of rationally designed genetic mutations of the HBc protein that have differential effects on assembly and stability of the resulting VLPs [2]. VLPs are free of viral nucleic acid in the shell structure which is highly organized spheres that self-assemble from virus-derived structural antigens [3].…”

Section: Introductionmentioning

confidence: 99%

Down-regulation of MEF2D via HBc Nanoparticle Mediated siRNA Inhibits HepG2 Cell Proliferation in vitro

Kong¹,

Li²,

Chen³

et al. 2015

Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials

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Abstract. Objective: Recombinant hepatitis B virus nucleocapsid protein maintains the ability to form particles self-assembly. We tried to use non-virus-like particles HBc package wrapping foreign gene to protect and transfer siRNA of MEF2D gene to target position, in order to make a contribution to analyze the relationship between the expression of MEF2D gene and the proliferation of hepatocellular cells. Methods: Firstly, prepared si-MEF2D/HBc nanoparticles and transfected it into hepatocellular cells. The knockdown of MEF2D gene effects on cell proliferation was detected by MTT assay, XTT cell viability assay and CKK-8 assays. Result: The proliferation of treated hepatocellular cells were decreased significantly compared with control cells. Pretreatment of HepG 2 cells with si-MEF2D/HBc complex inhibited cell growth in a dose-dependent manner. Conclusion: HBc particles is one kind of promising biological nanomaterials which has presented itself as an appropriate and valuable material for other aspects of nanoparticle in future study.

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Differences of Ventricular Late Potential between Acute STEMI and NSTEMI Patients

Abstract: The VLP positive rate of the STEMI group is higher than that of the NSTEMI group.

Cited by 5 publications

References 6 publications

ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review

ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review

Efficient Detection of Ventricular Late Potentials on ECG Signals Based on Wavelet Denoising and SVM Classification

Down-regulation of MEF2D via HBc Nanoparticle Mediated siRNA Inhibits HepG2 Cell Proliferation in vitro

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