ECG Classification

23 papers with code • 4 benchmarks • 3 datasets

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Most implemented papers

Deep Learning for ECG Classification

ismorphism/DeepECG Journal of Physics: Conference Series 2017

The importance of ECG classification is very high now due to many current medical applications where this problem can be stated.

Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification

ydup/Anomaly-Detection-in-Time-Series-with-Triadic-Motif-Fields 9 Dec 2020

Considering the quasi-periodic characteristics of ECG signals, the dynamic features can be extracted from the TMF images with the transfer learning pre-trained convolutional neural network (CNN) models.

Voice2Series: Reprogramming Acoustic Models for Time Series Classification

huckiyang/Voice2Series-Reprogramming 17 Jun 2021

Learning to classify time series with limited data is a practical yet challenging problem.

ENCASE: An ENsemble ClASsifiEr for ECG classification using expert features and deep neural networks

hsd1503/ENCASE 2017 Computing in Cardiology (CinC) 2017

We propose ENCASE to combine expert features and DNNs (Deep Neural Networks) together for ECG classification.

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification

axelmukwena/biometricECG 16 Oct 2018

Then, in order to alleviate the overfitting problem in two-dimensional network, we initialize AlexNet-like network with weights trained on ImageNet, to fit the training ECG images and fine-tune the model, and to further improve the accuracy and robustness of ECG classification.

Automatic diagnosis of the 12-lead ECG using a deep neural network

antonior92/automatic-ecg-diagnosis 2 Apr 2019

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models.

Diffeomorphic Temporal Alignment Nets

BGU-CS-VIL/dtan NeurIPS 2019

In a single-class case, the method is unsupervised: the ground-truth alignments are unknown.

Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length

SarielMa/ICMLA2020_12-lead-ECG 8 Aug 2020

Thus, it is challenging and essential to improve robustness of DNNs against adversarial noises for ECG signal classification, a life-critical application.

ECG beats classification via online sparse dictionary and time pyramid matching

puallee/Online-dictionary-learning 15 Aug 2020

Recently, the Bag-Of-Word (BOW) algorithm provides efficient features and promotes the accuracy of the ECG classification system.