Deep convolutional architecture-based hybrid learning for sleep arousal events detection through single-lead EEG signals.
Sign Up to like & getrecommendations! Published in 2023 at "Brain and behavior"
DOI: 10.1002/brb3.3028
Abstract: INTRODUCTION Detecting arousal events during sleep is a challenging, time-consuming, and costly process that requires neurology knowledge. Even though similar automated systems detect sleep stages exclusively, early detection of sleep events can assist in identifying… read more here.
Keywords: arousal events; single lead; detection; sleep arousal ... See more keywords
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.105948
Abstract: BACKGROUND AND OBJECTIVES Arrhythmia is a heart disease characterized by the change in the regularity of the heartbeat. Since this disorder can occur sporadically, Holter devices are used for continuous long-term monitoring of the subject's… read more here.
Keywords: patient paradigm; system; ecg; inter patient ... See more keywords
Study on the use of standard 12-lead ECG data for rhythm-type ECG classification problems
Sign Up to like & getrecommendations! Published in 2022 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106521
Abstract: BACKGROUND AND OBJECTIVES Most deep-learning-related methodologies for electrocardiogram (ECG) classification are focused on finding an optimal deep-learning architecture to improve classification performance. However, in this study, we proposed a methodology for fusion of various single-lead… read more here.
Keywords: ecg; lead; single lead; lead ecg ... See more keywords
Usefulness, pitfalls and interpretation of handheld single‑lead electrocardiograms.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of electrocardiology"
DOI: 10.1016/j.jelectrocard.2021.02.011
Abstract: Single‑lead electrocardiograms (1 L-ECGs) are increasingly used in (pre)clinical settings for the detection and monitoring of a range of rhythm and conduction disorders. In this short communication paper, we aim to provide an overview of the… read more here.
Keywords: lead; usefulness pitfalls; pitfalls interpretation; single lead ... See more keywords
APPLICABILITY OF NOVEL, CLASS ACTIVATION MAPS (CAM) IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-GUIDED, SINGLE AND 12-LEAD ECG TO DETECT ST-ELEVATION MYOCARDIAL INFARCTION
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(20)34101-2
Abstract: Convolutional Neural Networks (CNN) are seamlessly integrated into many fields, including image recognition. CAM are able to recognize specific regions of images for their classification. We applied CAM and discovered discriminative segments for the detection… read more here.
Keywords: applicability novel; guided single; class activation; activation maps ... See more keywords
Predict alone, decide together: cardiac abnormality detection based on single lead classifier voting
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac66b9
Abstract: Objective. A classifier based on weighted voting of multiple single-lead based models combining deep learning (DL) representation and hand-crafted features was developed to classify 26 cardiac abnormalities from different lead subsets of short-term electrocardiograms (ECG).… read more here.
Keywords: classifier; voting; single lead; lead subsets ... See more keywords
Enriching artificial intelligence ST-elevation myocardial infarction (STEMI) detection algorithms with differential diagnoses
Sign Up to like & getrecommendations! Published in 2020 at "European Heart Journal"
DOI: 10.1093/ehjci/ehaa946.1776
Abstract: STEMI outcomes, although improved with systems of care, are hamstrung by delayed presentation and prevaricates of a 12-lead ECG. We report an artificial intelligence (AI) guided, single lead EKG algorithm for a self-administered tool to… read more here.
Keywords: stemi; differential diagnoses; artificial intelligence; lead ... See more keywords
P1464Adoption of feedback to validate a machine learning model for single lead STEMI detection
Sign Up to like & getrecommendations! Published in 2019 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehz748.0229
Abstract: We have explored the performance of a single lead EKG with Artificial Intelligence (AI) based algorithms in STEMI diagnosis, thus far lead V2 has yielded the best results. Anticipating the performance of the LUMENGT-AI model,… read more here.
Keywords: lead; model; single lead; stemi detection ... See more keywords
Impact of clinical expertise and choice of wearable device on accuracy to detect atrial fibrillation via single-lead ECGs
Sign Up to like & getrecommendations! 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
Single-lead ECGs: the future of home-monitoring in neonatal supraventricular tachycardias
Sign Up to like & getrecommendations! Published in 2023 at "Europace"
DOI: 10.1093/europace/euad122.644
Abstract: Abstract Funding Acknowledgements Type of funding sources: None. Background Supraventricular tachycardia (SVT) is the most common tachyarrhythmia in the neonatal period. Prevalence has not been fully established (up to 1 in 1000 children) and incidence is… read more here.
Keywords: home monitoring; single lead; lead; lead ecg ... See more keywords
Evaluation of general practitioners’ single-lead electrocardiogram interpretation skills: a case-vignette study
Sign Up to like & getrecommendations! Published in 2020 at "Family Practice"
DOI: 10.1093/fampra/cmaa076
Abstract: Abstract Background Handheld single-lead electrocardiograms (1L-ECG) present a welcome addition to the diagnostic arsenal of general practitioners (GPs). However, little is known about GPs’ 1L-ECG interpretation skills, and thus its reliability in real-world practice. Objective… read more here.
Keywords: interpretation; interpretation skills; study; case ... See more keywords