Cardiac magnetic resonance predicts ventricular arrhythmias in scleroderma: the Scleroderma Arrhythmia Clinical Utility Study (SAnCtUS)
S Mavrogeni, L Gargani, A Pepe, L Monti… - …, 2020 - academic.oup.com
Objectives Cardiac rhythm disturbances constitute the most frequent cardiovascular cause of
death in SSc. However, electrocardiographic findings are not a part of risk stratification in …
death in SSc. However, electrocardiographic findings are not a part of risk stratification in …
Arrhythmia risk profile and ventricular repolarization indices in COVID-19 patients: a systematic review and meta-analysis
Abstract Introduction: Coronavirus disease 2019 (COVID-19) has been associated with
cardiac arrhythmias. Several electrocardiographic markers have been used to predict the …
cardiac arrhythmias. Several electrocardiographic markers have been used to predict the …
[HTML][HTML] Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks
This study proposes a deep learning model that effectively suppresses the false alarms in
the intensive care units (ICUs) without ignoring the true alarms using single-and multi-modal …
the intensive care units (ICUs) without ignoring the true alarms using single-and multi-modal …
Sudden cardiac arrest (SCA) prediction using ECG morphological features
Sudden cardiac arrest (SCA) prediction using electrocardiogram (ECG) and heart rate
variability (HRV) signals has received the attention of researchers in recent years …
variability (HRV) signals has received the attention of researchers in recent years …
Sudden cardiac death in nonischemic cardiomyopathy
Sudden cardiac death (SCD) is a major cause of mortality in patients with nonischemic
cardiomyopathy (NICM). Identifying patients who are at highest risk for SCD is an ongoing …
cardiomyopathy (NICM). Identifying patients who are at highest risk for SCD is an ongoing …
ECG-based detection and prediction models of sudden cardiac death: Current performances and new perspectives on signal processing techniques
Heart disease remains the main leading cause of death globally and around 50% of the
patients died due to sudden cardiac death (SCD). Early detection and prediction of SCD …
patients died due to sudden cardiac death (SCD). Early detection and prediction of SCD …
Novel high-resolution nanosensor-based measuring equipment for ECG recording
DK Avdeeva, ML Ivanov, MM Yuzhakov, NV Turushev… - Measurement, 2019 - Elsevier
Cardiovascular diseases are one of the leading causes of premature death worldwide.
Sudden cardiac death is most often caused by previously undetected coronary heart …
Sudden cardiac death is most often caused by previously undetected coronary heart …
[HTML][HTML] MultiETSC: automated machine learning for early time series classification
G Ottervanger, M Baratchi, HH Hoos - Data Mining and Knowledge …, 2021 - Springer
Early time series classification (EarlyTSC) involves the prediction of a class label based on
partial observation of a given time series. Most EarlyTSC algorithms consider the trade-off …
partial observation of a given time series. Most EarlyTSC algorithms consider the trade-off …
[HTML][HTML] Predicting Cardiopulmonary Arrest with Digital Biomarkers: A Systematic Review
GD De Sario Velasquez, AJ Forte, CJ McLeod… - Journal of Clinical …, 2023 - mdpi.com
(1) Background: Telemetry units allow the continuous monitoring of vital signs and ECG of
patients. Such physiological indicators work as the digital signatures and biomarkers of …
patients. Such physiological indicators work as the digital signatures and biomarkers of …
[HTML][HTML] Ecg markers of acute melatonin treatment in a porcine model of acute myocardial ischemia
OG Bernikova, AS Tsvetkova, AO Ovechkin… - International Journal of …, 2022 - mdpi.com
In myocardial ischemia, melatonin confers antiarrhythmic action, but its electrocardiographic
expression is unclear. We aimed to evaluate the effects of melatonin treatment on …
expression is unclear. We aimed to evaluate the effects of melatonin treatment on …