LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104807
Abstract: Most existing Electrocardiogram (ECG) classification methods assume that all arrhythmia classes are known during the training phase. In this paper, the problem of learning several successive tasks is addressed, where, in each new task, there… read more here.
Keywords: classification; task; new task; without forgetting ... See more keywords
Automated Heartbeat Classification Exploiting Convolutional Neural Network With Channel-Wise Attention
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DOI: 10.1109/access.2019.2938617
Abstract: Long-term Electrocardiogram (ECG) analysis has become a common means of diagnosing cardiovascular diseases. In order to reduce the workload of cardiologists and accelerate diagnosis, an automated patient-specific heartbeat classification method based on a customized convolutional… read more here.
Keywords: neural network; channel wise; convolutional neural; classification ... See more keywords
ECG Heartbeat Classification Using Multimodal Fusion
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DOI: 10.1109/access.2021.3097614
Abstract: Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning techniques either depend on manually extracted features or large and complex deep… read more here.
Keywords: classification using; fusion; multimodal fusion; ecg heartbeat ... See more keywords
Extreme Learning Machine for Heartbeat Classification with Hybrid Time-Domain and Wavelet Time-Frequency Features
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Healthcare Engineering"
DOI: 10.1155/2021/6674695
Abstract: Automatic heartbeat classification via electrocardiogram (ECG) can help diagnose and prevent cardiovascular diseases in time. Many classification approaches have been proposed for heartbeat classification, based on feature extraction. However, the existing approaches face the challenges… read more here.
Keywords: classification; time; time frequency; frequency features ... See more keywords