Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation.
Sign Up to like & getrecommendations! Published in 2018 at "Physiological measurement"
DOI: 10.1088/1361-6579/aad5bd
Abstract: OBJECTIVE The prevalence of atrial fibrillation (AF) in the general population is 0.5%-1%. As AF is the most common sustained cardiac arrhythmia that is associated with an increased morbidity and mortality, its timely diagnosis is… read more here.
Keywords: atrial fibrillation; based post; post processing; ecg ... See more keywords
Assessment of the atrial fibrillation burden in Holter ECG recordings using artificial intelligence
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DOI: 10.1093/europace/euad122.528
Abstract: Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): Swiss National Science Foundation, Swiss Heart Foundation Background Emerging evidence indicates that a high atrial fibrillation (AF) burden is associated with adverse outcome. However,… read more here.
Keywords: holter ecg; ecg recordings; holter; based tool ... See more keywords
Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2858789
Abstract: Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in elderly population, associated with a high mortality and morbidity in stroke, heart failure, coronary artery disease, systemic thromboembolism, etc. The early… read more here.
Keywords: atrial fibrillation; multiscaled fusion; deep convolutional; fusion deep ... See more keywords
Atrial Fibrillation Burden Estimation Using Multi-Task Deep Convolutional Neural Network
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DOI: 10.1109/jbhi.2022.3191682
Abstract: Atrial fibrillation (AF) burden is defined as the percentage of time the patient is in AF rhythm during a certain monitoring period. The accurate AF burden estimation from the long-term electrocardiogram (ECG) recordings provides improved… read more here.
Keywords: burden estimation; ecg recordings; task; rhythm ... See more keywords
Performance of short ECG recordings twice daily to detect paroxysmal atrial fibrillation in stroke and transient ischemic attack patients
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DOI: 10.1177/1747493016669883
Abstract: Aims Prolonged cardiac monitoring after stroke is recommended though there is no consensus on optimal methods. Short-term ECG recordings with a “thumb-ECG” device have shown promising preliminary results regarding effectiveness and cost benefit. We aimed… read more here.
Keywords: atrial fibrillation; ecg recordings; thumb ecg;