Articles with "ecgs" as a keyword



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Interpretations of and management actions following ECGs in programmatic cardiovascular care in primary care: A retrospective dossier study

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Published in 2020 at "Netherlands Heart Journal"

DOI: 10.1007/s12471-020-01376-3

Abstract: Background The usefulness of routine electrocardiograms (ECGs) in cardiovascular risk management (CVRM) and diabetes care is doubted. Objectives To assess the performance of general practitioners (GPs) in embedding ECGs in CVRM and diabetes care. Methods… read more here.

Keywords: diabetes care; cvrm diabetes; management actions; ecgs ... See more keywords
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B-PO03-159 INTERPRETATION OF PRONE-POSITION 12-LEAD SURFACE ELECTROCARDIOGRAM AND MAIN DIFFERENCES WHEN COMPARED TO SUPINE-POSITION ECGS: INSIGHTS FROM A CASE-CONTROL STUDY

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Published in 2021 at "Heart Rhythm"

DOI: 10.1016/j.hrthm.2021.06.632

Abstract: Background: Prone position is a valuable treatment strategy in acute respiratory distress syndrome (ARDS) and is frequently used in surgical scenarios. Nonetheless, prone position may hinder proper acquisition and interpretation of the 12-lead electrocardiogram (ECG)… read more here.

Keywords: interpretation; supine position; position; prone position ... See more keywords
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Automated JTpeak analysis by BRAVO.

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Published in 2017 at "Journal of electrocardiology"

DOI: 10.1016/j.jelectrocard.2017.07.010

Abstract: Using BRAVO algorithm (AMPS-LLC, NY, v4.4.0), 5223 ECGs from a publicly available annotated dataset from a randomized clinical trial on four different compounds and placebo were analyzed. ECGs were automatically processed and JTp interval was… read more here.

Keywords: jtpeak analysis; bravo; analysis bravo; jtp ... See more keywords
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Implementation and verification of an enhanced algorithm for the automatic computation of RR-interval series derived from 24 h 12-lead ECGs.

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Published in 2017 at "Physiological measurement"

DOI: 10.1088/1361-6579/38/1/1

Abstract: An important tool in early diagnosis of cardiac dysfunctions is the analysis of electrocardiograms (ECGs) obtained from ambulatory long-term recordings. Heart rate variability (HRV) analysis became a significant tool for assessing the cardiac health. The… read more here.

Keywords: time series; interval series; ecgs; series ... See more keywords
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5105A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device

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Published in 2019 at "European Heart Journal"

DOI: 10.1093/eurheartj/ehz746.0041

Abstract: Electrocardiographic predictors of atrial fibrillation (AF) from a non-AF ECG–such as p wave abnormalities and supraventricular ectopy–have been extensively documented. However, risk prediction tools for AF utilize little if any of the wealth of information… read more here.

Keywords: normal ecgs; deep learning; ecgs; model ... See more keywords
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Impact of clinical expertise and choice of wearable device on accuracy to detect atrial fibrillation via single-lead ECGs

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Published in 2023 at "Europace"

DOI: 10.1093/europace/euad122.476

Abstract: Abstract Funding Acknowledgements Type of funding sources: None. Background Manual interpretation of single-lead ECGs (SL-ECG) is often required to confirm a diagnosis of atrial fibrillation (AF). However, accuracy to detect AF via SL-ECGs may vary… read more here.

Keywords: accuracy; single lead; accuracy detect; clinical expertise ... See more keywords
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8 Formal reporting of paediatric electrocardiograms in a tertiary paediatric cardiology centre

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Published in 2018 at "Heart"

DOI: 10.1136/heartjnl-2017-bcca.8

Abstract: Purpose To review indications for and results of ECGs undertaken outwith the cardiology department and recommendations made by reporting cardiology physicians. Methods A single centre retrospective study of all ECGs reported between May and July… read more here.

Keywords: cardiology; referred cardiology; reporting paediatric; ecgs ... See more keywords
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Assessing electrocardiogram changes after ischemic stroke with artificial intelligence

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Published in 2022 at "PLOS ONE"

DOI: 10.1371/journal.pone.0279706

Abstract: Objective Ischemic stroke (IS) with subsequent cerebrocardiac syndrome (CCS) has a poor prognosis. We aimed to investigate electrocardiogram (ECG) changes after IS with artificial intelligence (AI). Methods We collected ECGs from a healthy population and… read more here.

Keywords: cnn; artificial intelligence; stroke; ischemic stroke ... See more keywords