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Journal of Electrocardiology

David Filgueiras-Rama, José María Lillo-Castellano, Jorge G Quintanilla
No abstract text is available yet for this article.
October 9, 2018: Journal of Electrocardiology
Nicola Tarantino, Francesco Santoro, Natale Daniele Brunetti
No abstract text is available yet for this article.
September 24, 2018: Journal of Electrocardiology
Laszlo Littmann, Michael A Gibbs
No abstract text is available yet for this article.
September 11, 2018: Journal of Electrocardiology
Joaquin Azpilicueta, Mikhail Chmelevsky, Danila Potyagaylo
Have we a challenge of credibility in the invasive treatment of atrial fibrillation (AFIB)? The incidence of AFIB in the European Union (EU) is about 600,000 cases per year, while only 100,000 get an invasive treatment with a failure rate of close to 40%. Those that remain in AFIB need two times more hospitalizations and three times more re-hospitalizations. AFIB accounts for over 1% of the EU health care costs. Too many patients are not referred and the indication rates of cardiac ablation are inexplicably variable throughout the EU...
September 6, 2018: Journal of Electrocardiology
Mark L Brown
Ventricular fibrillation (VF), uninterrupted, is fatal within minutes. Implantable cardioverter defibrillators (ICDs) sense ventricular electrograms (EGMs) during VF and detect the VF rhythm (a sequence of VF sensed events) to deliver a shock to terminate VF and save lives. VF sensing and detection in Medtronic ICDs has been reported to be highly sensitive. However, Castellano et al. reported that Medtronic ICDs have the potential for high levels of undersensing in VF, sufficient to underdetect VF and withhold life-saving therapy...
August 24, 2018: Journal of Electrocardiology
Kais Gadhoumi, Duc Do, Fabio Badilini, Michele M Pelter, Xiao Hu
BACKGROUND: Accurate and timely detection of atrial fibrillation (AF) episodes is important in primarily and secondary prevention of ischemic stroke and heart-related problems. In this work, heart rate regularity of ECG inter-beat intervals was investigated in episodes of AF and other rhythms using a wavelet leader based multifractal analysis. Our aim was to improve the detectability of AF episodes. METHODS: Inter-beat intervals from 25 ECG recordings available in the MIT-BIH atrial fibrillation database were analysed...
August 23, 2018: Journal of Electrocardiology
Amy Brisben
Transvenous Implantable Cardioverter Defibrillator (TV-ICD) and subcutaneous ICD (S-ICD) devices are available for patients at risk of sudden cardiac death (SCD). Both devices sense ventricular arrhythmias with near 100% sensitivity (Gold et al., 2012) and have similar rates of inappropriate shocks (IAS) (2.5-4.8%). IAS due to supraventricular tachycardias (SVT) is higher for TV-ICDs and IAS due to cardiac over-sensing is higher for S-ICDs (Basu-Ray et al., 2017). The S-ICD's sensing signal is morphologically rich, resembling the surface electrocardiogram (ECG) signal...
August 18, 2018: Journal of Electrocardiology
Loriano Galeotti, Christopher G Scully
OBJECTIVE: Recordings of signal noise and artifacts can be added to clean electrocardiogram (ECG) records to assess the performance of ECG and arrhythmia analysis algorithms in the presence of noise. We present a method to estimate device-specific signal noise and artifacts from ECG records. This method can be applied to obtain noise estimates from healthy subjects on any ECG lead, allowing a simple device-specific recording. The proposed approach is assessed using the MIT-BIH Noise Stress Test Database recordings combined with simulated ECGs...
August 18, 2018: Journal of Electrocardiology
Kimberly A Selzman
No abstract text is available yet for this article.
August 18, 2018: Journal of Electrocardiology
Göksel Çinier, Emrah Bozbeyoğlu, Ahmet İlker Tekkeşin
No abstract text is available yet for this article.
August 18, 2018: Journal of Electrocardiology
Abdulkadir Uslu, Ahmet Guner, Sabahattin Gunduz
No abstract text is available yet for this article.
August 18, 2018: Journal of Electrocardiology
Mert İlker Hayıroğlu, Ceyhan Türkkan, Emrah Bozbeyoğlu
No abstract text is available yet for this article.
August 16, 2018: Journal of Electrocardiology
János Tomcsányi, Béla Bózsik
No abstract text is available yet for this article.
August 13, 2018: Journal of Electrocardiology
John J Wang, Olle Pahlm, James W Warren, John L Sapp, B Milan Horáček
BACKGROUND: Criteria for electrocardiographic detection of acute myocardial ischemia recommended by the Consensus Document of ESC/ACCF/AHA/WHF consist of two parts: The ST elevation myocardial infarction (STEMI) criteria based on ST elevation (ST↑) in 10 pairs of contiguous leads and the other on ST depression (ST↓) in the same 10 contiguous pairs. Our aim was to assess sensitivity (SE) and specificity (SP) of these criteria-and to seek their possible improvements-in three databases of 12‑lead ECGs...
August 13, 2018: Journal of Electrocardiology
Wilson W Good, Burak Erem, Brian Zenger, Jaume Coll-Font, Dana H Brooks, Rob S MacLeod
BACKGROUND: Myocardial ischemia has a complex and time-varying electrocardiographic signature that is used to diagnose and stratify severity. Despite the ubiquitous clinical use of the ECG to detect ischemia, the sensitivity and specificity of ECG based detection of myocardial ischemia are still inadequate. PURPOSE: The purpose of this study was to compare, using animal models, the performance of several traditional ECG-based metrics for detecting acute ischemia against two novel metrics, the Laplacian Eigenmap (LE) parameters and a three-dimensional estimate of Conduction Velocity (CV)...
August 13, 2018: Journal of Electrocardiology
Veronica Lee, Gang Xu, Vivian Liu, Peter Farrehi, Jimo Borjigin
BACKGROUND: Atrial fibrillation (AFIB) and atrial flutter (AFL) are two common cardiac arrhythmias that predispose patients to serious medical conditions. There is a need to accurately detect these arrhythmias to prevent diseases and reduce mortality. Apart from accurately detecting these arrhythmias, it is also important to distinguish between AFIB and AFL due to differing clinical treatments. METHODS: In this study, we applied a new technology, the electrocardiomatrix (ECM) invented in our lab, in detecting AFIB and AFL in human patients...
August 11, 2018: Journal of Electrocardiology
Raymond R Bond, Tomas Novotny, Irena Andrsova, Lumir Koc, Martina Sisakova, Dewar Finlay, Daniel Guldenring, James McLaughlin, Aaron Peace, Victoria McGilligan, Stephen J Leslie, Hui Wang, Marek Malik
INTRODUCTION: Interpretation of the 12‑lead Electrocardiogram (ECG) is normally assisted with an automated diagnosis (AD), which can facilitate an 'automation bias' where interpreters can be anchored. In this paper, we studied, 1) the effect of an incorrect AD on interpretation accuracy and interpreter confidence (a proxy for uncertainty), and 2) whether confidence and other interpreter features can predict interpretation accuracy using machine learning. METHODS: This study analysed 9000 ECG interpretations from cardiology and non-cardiology fellows (CFs and non-CFs)...
August 10, 2018: Journal of Electrocardiology
Jonathan Rubin, Saman Parvaneh, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh
The development of new technology such as wearables that record high-quality single channel ECG, provides an opportunity for ECG screening in a larger population, especially for atrial fibrillation screening. The main goal of this study is to develop an automatic classification algorithm for normal sinus rhythm (NSR), atrial fibrillation (AF), other rhythms (O), and noise from a single channel short ECG segment (9-60 s). For this purpose, we combined a signal quality index (SQI) algorithm, to assess noisy instances, and trained densely connected convolutional neural networks to classify ECG recordings...
August 10, 2018: Journal of Electrocardiology
J DeCamilla, X Xia, M Wang, J Wade, B Mykins, W Zareba, J P Couderc
The convergence between wearable and medical device technologies is a natural progression. Miniaturization has allowed the design of small, compact monitoring systems that can record physiological signals over longer periods of time. Thus, the potential for these devices to expand the understanding of disease progression and patients' clinical status is very high. The accuracy of these devices, however, is dependent upon the computer algorithms utilized in the analysis of the large volume of physiological data monitored and/or recorded by the devices...
August 9, 2018: Journal of Electrocardiology
Jose Vicente
The Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative is validating a new paradigm for assessing proarrhythmic potential of drugs that goes beyond hERG block and QT prolongation. Based on in vitro data of the drug's effects on multiple cardiac ion channel currents, CiPA's in silico model of the human cardiomyocyte will classify drugs as low, intermediate or high risk for torsade de pointes. Under CiPA, early phase 1 ECG data will be used to determine if there are unexpected ion channel effects in humans compared to the in vitro ion channel data...
August 7, 2018: Journal of Electrocardiology
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