Electrocardiogram classification using TSST-based spectrogram and ConViT

Electrocardiogram classification using TSST-based spectrogram and ConViT

As an important auxiliary tool of arrhythmia diagnosis, Electrocardiogram (ECG) is frequently utilized to detect a variety of cardiovascular diseases caused by arrhythmia, such as cardiac mechanical infarction. In the past few years, the classification of ECG has always been a challenging problem. T...

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Bibliographic Details
Main Authors: Pingping Bing, Yang Liu, Wei Liu, Jun Zhou, Lemei Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
ECG classification
vision transformer
convolutional neural network
time-reassigned synchrosqueezing transform
class imbalance
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.983543/full

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