A novel multi-class classification method for arrhythmias using Hankel dynamic mode decomposition and long short-term memory networks

A novel multi-class classification method for arrhythmias using Hankel dynamic mode decomposition and long short-term memory networks

The complex dynamic properties of ECG signals and the challenge of multi-category classification make automated diagnosis of arrhythmias difficult. In this paper, we propose a new model for the multiclassification task of arrhythmia, which combines Hankel Dynamic Modal Decomposition (HDMD) and Long...

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Bibliographic Details
Main Authors: Chuchu Liang, Majid Khan Majahar Ali, Lili Wu
Format: Article
Language:English
Published: Nigerian Society of Physical Sciences 2025-05-01
Series:Journal of Nigerian Society of Physical Sciences
Subjects:
Dynamic Mode Decomposition (DMD)
Long Short-Term Memory (LSTM)
Arrhythmia
Multi-Class
Online Access:https://journal.nsps.org.ng/index.php/jnsps/article/view/2411
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https://journal.nsps.org.ng/index.php/jnsps/article/view/2411

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