Scientific reports

Sensors (Basel, Switzerland)

Journal of endourology

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

international journal of cardiology heart & vasculature

annals of pediatric cardiology

european heart journal case reports

aids research and human retroviruses

jama cardiology

herzschrittmachertherapie & elektrophysiologie

[1] A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation.

[2] Artificial intelligence in pediatric cardiology and cardiac surgery: Irrational hype or paradigm shift?

[3] The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

[4] [Cardiac memory following pacemaker implantation].

[5] Electrocardiographic characterization of non-selective His-bundle pacing: validation of novel diagnostic criteria.

[6] A Theoretical Framework for Clinical Implementation of Social Determinants of Health.

[7] Large transmission clusters of HIV-1 main genotypes among HIV-1 individuals before antiretroviral therapy in the Hebei province, China.

[8] Preventing Excess Narcotic Prescriptions in New Robotic Surgery Discharges: The PENN Prospective Cohort Quality Improvement Initiative.

[9] role of electrocardiogram in identification of culprit vessel occlusion in acute st elevation myocardial infarction in relation to coronary angiography

[10] hypocapnia alone fails to provoke important electrocardiogram changes in coronary artery diseased patients

[11] agreement between electrocardiogram and heart rate meter is low for the measurement of heart rate variability during exercise in young endurance horses

[12] supplemental l-arginine modulates developmental pulmonary hypertension in broiler chickens fed reduced-protein diets and reared at high altitude

[13] electrocardiographic patterns in biventricular pacing delivered by second-generation cardiac resynchronization devices

[14] major depressive disorder with melancholia displays robust alterations in resting state heart rate and its variability: implications for future morbidity and mortality

[15] fusion framework for emotional electrocardiogram and galvanic skin response recognition: applying wavelet transform

[16] prevention of electrocardiographic and histopathologic alterations in the murine model of chagas' disease by preinoculation of an attenuated trypanosoma cruzi strain

[17] an unusual ecg pattern in restrictive cardimyopathy

[18] application of exercise ecg stress test in the current high cost modern-era healthcare system

[19] wavelet entropy as a measure of ventricular beat suppression from the electrocardiogram in atrial fibrillation

[20] minimally spaced electrode positions for multi-functional chest sensors: ecg and respiratory signal estimation

[21] 3.6 mW Active-Electrode ECG/ETI Sensor System Using Wideband Low-Noise Instrumentation Amplifier and High Impedance Balanced Current Driver.

[22] Designing plant-transparent agrivoltaics.

[23] Detection of unexpected ischaemia due to left main disease during tele-rehabilitation using 12-lead electrocardiogram monitoring: a case report.

[24] Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12‑lead electrocardiogram.

[25] Predictive risk stratification using HEART (history, electrocardiogram, age, risk factors, and initial troponin) and TIMI (thrombolysis in myocardial infarction) scores in non-high risk chest pain patients: An African American urban community based hospital study.

[26] Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network

[27] A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation.

[28] Intelligent Artificial Intelligence: Present Considerations and Future Implications of Machine Learning Applied to Electrocardiogram Interpretation.

[29] The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

[30] Different habitus but similar electrocardiogram: Cardiac repolarization parameters in children - Comparison of elite athletes to obese children.

[31] THE USE OF NEURAL NETWORKS FOR THE AUTOMATIC ANALYSIS OF ELECTROCARDIOGRAMS IN DIAGNOSIS OF CARDIOVASCULAR DISEASES

[32] Prevalence of Chagas Disease in a U.S. Population of Latin American Immigrants with Conduction Abnormalities on Electrocardiogram.

[33] Artificial intelligence capable of detecting left ventricular hypertrophy: pushing the limits of the electrocardiogram?

[34] A computer-human interaction model to improve the diagnostic accuracy and clinical decision-making during 12-lead electrocardiogram interpretation.

[35] Sexual maturity rating: A marker for effects of pubertal maturation on the adolescent electrocardiogram

[36] Evaluation of the diagnostic accuracy of smartphone electrocardiogram recorder compared to standard 12 lead electrocardiography in hospital settings

[37] right ventricular compression mimicking brugada-like electrocardiogram in a patient with recurrent pectus excavatum

[38] role of electrocardiogram in identification of culprit vessel occlusion in acute st elevation myocardial infarction in relation to coronary angiography

[39] hypocapnia alone fails to provoke important electrocardiogram changes in coronary artery diseased patients

[40] optimisation of the low-frequency response of a multi-stage bioelectric amplifier for electrocardiogram (ecg) recording

[41] agreement between electrocardiogram and heart rate meter is low for the measurement of heart rate variability during exercise in young endurance horses

[42] when normal electrocardiogram is not normal?

[43] new correlation between angles of wide qrs complex in electrocardiogram and echocardiographic indices

[44] a review on the nonlinear dynamical system analysis of electrocardiogram signal

[45] effect of propranolol on the electrocardiogram in hypothyroidism.

[46] a combined linkage and exome sequencing analysis for electrocardiogram parameters in the erasmus rucphen family study

[47] evolution of the electrocardiogram in a patient with arrhythmogenic right ventricular cardiomyopathy

[48] fusion framework for emotional electrocardiogram and galvanic skin response recognition: applying wavelet transform

[49] time-domain signal-averaged electrocardiogram in healthy german shepherd and boxer dogs

[50] electrocardiogram arrhythmia classification system using support vector machine based fuzzy logic

[51] wavelet entropy as a measure of ventricular beat suppression from the electrocardiogram in atrial fibrillation

[52] electrocardiogram changes of donepezil administration in elderly patients with ischemic heart disease

[53] prognostic significance of the distortion of terminal portion of qrs complex on admission electrocardiogram in st segment elevation myocardial infarction

[54] effects of sympathomimetic agents on electrocardiogram indexes in patients with bronchial asthma

[55] electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review