Change in Out-of-Hospital 12-lead ECG Diagnostic Classification Following Resuscitation from Cardiac Arrest.
Sign Up to like & getrecommendations! Published in 2021 at "Resuscitation"
DOI: 10.1016/j.resuscitation.2021.10.012
Abstract: INTRODUCTION We evaluated the incidence of change in serial 12-lead electrocardiogram (ECG) diagnostic classifications in patients resuscitated from out-of-hospital (OH) cardiac arrest (OHCA) comparing OH to emergency department (ED) ECGs. METHODS This retrospective case series… read more here.
Keywords: classification; cardiac arrest; ecg classification; lead ... See more keywords
Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2942938
Abstract: This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) heartbeat classification. A symbolization approach especially designed for ECG is introduced, which can jointly represent the morphology and rhythm of the heartbeat… read more here.
Keywords: perspective convolutional; multi perspective; inter patient; ecg classification ... See more keywords
An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3281977
Abstract: Electrocardiography (ECG) is a standard diagnostic tool for evaluating the overall heart's electrical activity and is vital for detecting many cardiovascular diseases. Classifying ECG recordings using deep neural networks has been investigated in literature and… read more here.
Keywords: ecg classification; system; classification system; classification ... See more keywords
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2022.3185720
Abstract: The ECG classification processor is a key component in wearable intelligent ECG monitoring devices which monitor the ECG signals in real time and detect the abnormality automatically. The state-of-the-art ECG classification processors for wearable intelligent… read more here.
Keywords: ecg classification; classification processor; classification; energy ... See more keywords
Global ECG Classification by Self-Operational Neural Networks With Feature Injection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3187874
Abstract: Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, highly desirable due to the advent… read more here.
Keywords: ecg classification; classification; ecg; feature injection ... See more keywords
An Efficient Unstructured Sparse Convolutional Neural Network Accelerator for Wearable ECG Classification Device
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3194636
Abstract: Convolution neural network (CNN) with pruning techniques has shown remarkable prospects in electrocardiogram (ECG) classification. However, efficiently deploying the existing pruned neural network to wearable devices for ECG classification is a great challenge due to… read more here.
Keywords: ecg classification; neural network; classification; accelerator ... See more keywords
Multilabel 12-Lead ECG Classification Based on Leadwise Grouping Multibranch Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3164141
Abstract: The 12-lead electrocardiogram (ECG) is widely used in the clinical diagnosis of cardiovascular disease, and deep learning has become an effective approach to automatic ECG classification. Generally, current research simply regards the 12-lead ECG signal… read more here.
Keywords: ecg; ecg classification; leadwise grouping; lead ecg ... See more keywords
ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6852845
Abstract: According to the World Health Organization (WHO) report, heart disease is spreading throughout the world very rapidly and the situation is becoming alarming in people aged 40 or above (Xu, 2020). Different methods and procedures… read more here.
Keywords: ecg classification; classification detecting; learning; transfer learning ... See more keywords
ECG classification using 1-D convolutional deep residual neural network
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0284791
Abstract: An electrocardiograph (ECG) is widely used in diagnosis and prediction of cardiovascular diseases (CVDs). The traditional ECG classification methods have complex signal processing phases that leads to expensive designs. This paper provides a deep learning… read more here.
Keywords: ecg classification; deep residual; classification; ecg ... See more keywords
ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220388
Abstract: In this paper, we present an approach to improve the accuracy and reliability of ECG classification. The proposed method combines features analysis of linear and non-linear ECG dynamics. Non-linear features are represented by complexity measures… read more here.
Keywords: ecg classification; non linear; linear features; linear non ... See more keywords
ECG Classification Based on Wasserstein Scalar Curvature
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24101450
Abstract: Electrocardiograms (ECG) analysis is one of the most important ways to diagnose heart disease. This paper proposes an efficient ECG classification method based on Wasserstein scalar curvature to comprehend the connection between heart disease and… read more here.
Keywords: ecg classification; wasserstein scalar; based wasserstein; scalar curvature ... See more keywords