ECG attenuation phenomenon with advancing age
With advancing age, the conduction system and heart muscle cells undergo degenerative alterations affecting the electrocardiographic (ECG) parameters. The goal of the study is to determine the effect of age on ECG parameters. Are these changes due to a ‘normal aging’ or are they indicative to a ‘heart disease’?Italian Longitudinal Study on Aging (ILSA) database has been created to evaluate physiologic and pathologic modifications connected with aging. Standard 12-leads ECG recordings (10 s, 500 Hz) have been taken twice in a period of three years. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 13, 2018 Category: Cardiology Authors: Iana Simova, Giovanni Bortolan, Ivaylo Christov Source Type: research

QT interval: Bazett's Correction corrected
The duration of ventricular repolarization is clinically important and has been approximated for many years on the ECG by the measurement of the QT interval. But the QT interval is influenced by the heart rate and to determine if a given QT interval is normal, correction by the duration of the R-R interval is necessary. Enter the Bazett Correction that divides the measured QT by the square root of the R-R interval. Although this correction has been in use for more than 50  years, it is not perfect. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 13, 2018 Category: Cardiology Authors: Harold Smulyan Tags: Review Source Type: research

Hyperkalaemia and cardiac pacing
We read with great interest the superb review article by Littmann and Gibbs about the electrocardiographic manifestations of severe hyperkalemia [1]. Although the authors provide a detailed description of a wide range of ECG phenomena, the changes associated with hyperkalemia in patients with an implanted pacemaker (a relatively common clinical scenario nowadays) are barely mentioned. In addition to the loss of capture, there are two other ECG manifestations of this life-threatening condition that might help establish the diagnosis: The paced QRS complex increases in duration and the QRS complex exhibits an initial negativ...
Source: Journal of Electrocardiology - August 13, 2018 Category: Cardiology Authors: J ános Tomcsányi, Béla Bózsik Source Type: research

Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms
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 unce rtainty), and 2) whether confidence and other interpreter features can predict interpretation accuracy using machine learning. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 10, 2018 Category: Cardiology Authors: 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 Source Type: research

Accurate detection of atrial fibrillation and atrial flutter using the electrocardiomatrix technique
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. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 10, 2018 Category: Cardiology Authors: Veronica Lee, Gang Xu, Vivian Liu, Peter Farrehi, Jimo Borjigin Source Type: research

The S-wave angle identifies arrhythmogenic right ventricular cardiomyopathy in patients with electrocardiographically concealed disease phenotype
Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) carries risk of sudden death. We hypothesize that the S-wave angle differentiates ARVD/C with otherwise normal electrocardiograms from controls. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 9, 2018 Category: Cardiology Authors: Daniel Cortez, Anneli Svensson, Jonas Carlson, Sharon Graw, Nandita Sharma, Francesca Brun, Anita Spezzacatene, Luisa Mestroni, Pyotr G. Platonov Source Type: research

In inferior myocardial infarction, neither ST elevation in lead V1 nor ST depression in lead I are reliable findings for the diagnosis of right ventricular infarction
In the presence of inferior myocardial infarction (MI), ST depression (STD) in lead I has been claimed to be accurate for diagnosis of right ventricular (RV) MI. We sought to evaluate this claim and also whether ST Elevation (STE) in lead V1 would be helpful, with or without STD in V2. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 9, 2018 Category: Cardiology Authors: Johanna E. Bischof, Christine I. Worrall, Stephen W. Smith Source Type: research

Evaluation of Tp-e interval, Tp-e/QT and Tp-e/QTc ratio in aortic valve stenosis before and after transcatheter aortic valve implantation
Aortic stenosis (AS) is the most common form of degenerative valvular heart disease with a growing prevalence due to the ageing population [1]. In the presence of AS, increased left ventricular (LV) afterload leads to compensatory myocardial hypertrophy and results in elevated systolic wall stress and impaired coronary blood flow. Consequently, LV electrical heterogeneity occurs because of myocardial degeneration and fibrosis [2 –4]. Therefore, prevalence of ventricular arrhythmia as a reason of syncope and sudden cardiac death increases [5,6]. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 9, 2018 Category: Cardiology Authors: Serkan Kahraman, Ali Dogan, Ali Kemal Kalkan, Arda Guler, Mesut Pak, Emre Yilmaz, Ismail Gurbak, Cafer Panc, Ali Riza Demir, Aydin Rodi Tosu, Omer Celik, Fatih Uzun, Nuri Kurtoglu, Mehmet Erturk Source Type: research

Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings
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. (Source: Journa...
Source: Journal of Electrocardiology - August 9, 2018 Category: Cardiology Authors: Jonathan Rubin, Saman Parvaneh, Asif Rahman, Bryan Conroy, Saeed Babaeizadeh Source Type: research

The multiple arrhythmia dataset evaluation database (M.A.D.A.E.)
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. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 8, 2018 Category: Cardiology Authors: J. DeCamilla, X. Xia, M. Wang, J. Wade, B. Mykins, W. Zareba, J.P. Couderc Source Type: research

Electrocardiomatrix facilitates qualitative identification of diminished heart rate variability in critically ill patients shortly before cardiac arrest
Although heart rate variability (HRV) has diagnostic and prognostic value for the assessment of cardiac risk, HRV analysis is not routinely performed in a hospital setting. Current HRV analysis methods are primarily quantitative; such methods are sensitive to signal contamination and require extensive post hoc processing. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 7, 2018 Category: Cardiology Authors: Gang Xu, Sneha Dodaballapur, Temenuzhka Mihaylova, Jimo Borjigin Source Type: research

Update on the ECG component of the CiPA initiative
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. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 7, 2018 Category: Cardiology Authors: Jose Vicente Tags: Review Source Type: research

Alternating Wenckebach cycles with right bundle branch block
A 29-year-old female with a history of peripartum dilated cardiomyopathy with left ventricular ejection fraction 25%, hypertension, obstructive sleep apnea, and pulmonary hypertension was admitted to the hospital in acute decompensated heart failure and acute on chronic renal failure. She was initiated on dobutamine at 2.5  μg/kg/min intravenously and developed a regular narrow complex tachycardia at 210 beats per minute. This was determined to be an atrial tachycardia with 1:1 atrioventricular conduction. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 6, 2018 Category: Cardiology Authors: Prashanth Thakker, Sandeep Sodhi, Timothy W. Smith, Amit Noheria Source Type: research

Monitoring significant ST changes through deep learning
According to the statistics (2016 update) from the American Heart Association (AHA), 15.5 million people over 20  years old in the US have coronary heart disease, and every 42 s, an American suffers from myocardial infarction (MI) [1]. For patients admitted into hospitals with suspected acute coronary syndrome (ACS), electrocardiography (ECG) is an important risk-stratification and assessment tool to guide further treatment for MI, and ST-segment changes in ECG constitute the principle biomarker for such purpose. (Source: Journal of Electrocardiology)
Source: Journal of Electrocardiology - August 1, 2018 Category: Cardiology Authors: Ran Xiao, Yuan Xu, Michele M. Pelter, Richard Fidler, Fabio Badilini, David W. Mortara, Xiao Hu Source Type: research

Cardiovascular responses to ENERGY drinks in a healthy population during eXercise: The C-Energy-X Study
Energy drinks, the fastest growing beverage market in the United States, contain added caffeine, herbal supplements, amino acids, vitamins, and sweeteners. Energy drinks can be labeled as dietary supplements and therefore do not require premarket approval [1]. Each manufacturer of these beverages has their own proprietary blend of additives which are listed on the label, but volumes or percentages of each are not except for added caffeine. Manufacturers of energy drinks are not required to list the caffeine content from added supplements, therefore the actual amount of caffeine in a single serving is likely to be much high...
Source: Journal of Electrocardiology - August 1, 2018 Category: Cardiology Authors: Teri M. Kozik, Mary G. Carey, Mouchumi Bhattacharyya, Walter Chien, George S. Charos, Therese F. Connolly, Mary C. Hickman, Sherri Schmidt, Michele M. Pelter Source Type: research