Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms.
Sign Up to like & getrecommendations! Published in 2025 at "JAMA cardiology"
DOI: 10.1001/jamacardio.2025.0492
Abstract: Importance Despite the availability of disease-modifying therapies, scalable strategies for heart failure (HF) risk stratification remain elusive. Portable devices capable of recording single-lead electrocardiograms (ECGs) may enable large-scale community-based risk assessment. Objective To evaluate whether… read more here.
Keywords: ecg; risk; single lead; median iqr ... See more keywords
Point Calculation Detection System Based on In Suit Convolution Transistor for Clinical Diagnosis of Heart Disease
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202316673
Abstract: Electrocardiograph signals reflect the current state of the heart and have great significance to the clinical diagnosis of the heart. Convolutional neural networks perform excellently in electrocardiograph pattern recognition. However, CNNs processing ECG signals need… read more here.
Keywords: clinical diagnosis; diagnosis heart; ecg; heart ... See more keywords
Editorial to “Electrocardiography on admission is associated with poor outcomes in coronavirus disease 2019 (COVID‐19) patients: A systematic review and meta‐analysis”
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Arrhythmia"
DOI: 10.1002/joa3.12587
Abstract: The global crisis due to coronavirus disease 2019 (COVID19) has caused more than hundred million infections and over 3 000 000 deaths.1 The disease is caused by the severe acute respiratory coronavirus 2 (SARSCoV2). While… read more here.
Keywords: associated poor; ecg; admission; disease ... See more keywords
Reconstruction of the 12‐lead ECG using a novel MR‐compatible ECG sensor network
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27854
Abstract: Current electrocardiography (ECG) devices in MRI use non‐conventional electrode placement, have a narrow bandwidth, and suffer from signal distortions including magnetohydrodynamic (MHD) effects and gradient‐induced artifacts. In this work a system is proposed to obtain… read more here.
Keywords: lead ecg; ecg; reconstruction lead; ecg using ... See more keywords
Assessment of the effect of erdafitinib on cardiac safety: analysis of ECGs and exposure–QTc in patients with advanced or refractory solid tumors
Sign Up to like & getrecommendations! Published in 2019 at "Cancer Chemotherapy and Pharmacology"
DOI: 10.1007/s00280-019-03896-1
Abstract: To characterize the effect of erdafitinib on electrocardiogram (ECG) parameters and the relationship between erdafitinib plasma concentrations and QTc interval changes in patients with advanced or refractory solid tumors. Triplicate ECGs and continuous 12-lead Holter… read more here.
Keywords: qtc; ecg; analysis; effect ... See more keywords
Evaluation of cardiac autonomic nervous system in patients with ankylosing spondylitis using 12-lead electrocardiography and Holter monitoring
Sign Up to like & getrecommendations! Published in 2020 at "Clinical Rheumatology"
DOI: 10.1007/s10067-020-05046-y
Abstract: Ankylosing spondylitis (AS) is associated with increased risk of cardiovascular problems, including complications such as conduction defects and arrhythmias, which might lead to increased morbidity and/or mortality. The objective of the present study is to… read more here.
Keywords: ecg; tpe tpe; heart rate; holter ... See more keywords
How well is each learner learning? Validity investigation of a learning curve-based assessment approach for ECG interpretation
Sign Up to like & getrecommendations! Published in 2019 at "Advances in Health Sciences Education"
DOI: 10.1007/s10459-018-9846-x
Abstract: Learning curves can support a competency-based approach to assessment for learning. When interpreting repeated assessment data displayed as learning curves, a key assessment question is: “How well is each learner learning?” We outline the validity… read more here.
Keywords: interpretation; ecg; validity; well learner ... See more keywords
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02696-6
Abstract: Automatic and accurate prognosis of myocardial infarction (MI) using electrocardiogram (ECG) signals is a challenging task for the diagnosis and treatment of heart diseases. MI is also referred as a “Heart Attack”, which is the… read more here.
Keywords: technique; detection; ecg; myocardial infarction ... See more keywords
Daily ECG transmission versus serial 6-day Holter ECG for the assessment of efficacy of ablation for atrial fibrillation — the AGNES-ECG study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Interventional Cardiac Electrophysiology"
DOI: 10.1007/s10840-022-01166-4
Abstract: To compare daily ECG transmissions using trans-telephonic monitoring (TTM) with repeated 6-day Holter ECG in detecting atrial fibrillation (AF) episodes following ablation. Each patient underwent two types of recordings: daily ECG TTM lasting 30 s… read more here.
Keywords: daily ecg; ecg; holter ecg; day ... See more keywords
Performance Evaluation of Time-Frequency Distributions for ECG Signal Analysis
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0871-8
Abstract: The non-stationary and multi-frequency nature of biomedical signal activities makes the use of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis provides simultaneous interpretations in both time and frequency domain enabling comprehensive explanation, presentation and… read more here.
Keywords: frequency distributions; ecg; frequency; analysis ... See more keywords
A smart detection technology for personal ECG monitoring via chaos-based data mapping strategy
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09938-8
Abstract: This paper presents a smart detection technology for personal Electrocardiography (ECG) monitoring based on data integral-transform of chaotic system. First of all, a set of data-feeding system is developed, ECG data is technically converted into… read more here.
Keywords: ecg; monitoring; smart detection; detection technology ... See more keywords