Multi-Scale and Multi-Channel Information Fusion for Exercise Electrocardiogram Feature Extraction and Classification

Multi-Scale and Multi-Channel Information Fusion for Exercise Electrocardiogram Feature Extraction and Classification

Increased physical activity can help reduce the occurrence of cardiovascular disease. However, cardiovascular disease during strenuous exercise also brings certain risks, so a convenient and effective method is needed to accurately identify heart rate. Due to the low amplitude characteristics of ECG...

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Bibliographic Details
Main Authors: Jutao Wang, Fuchun Zhang, Meng Li, Baiyang Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
ECG signal
multi-scale
deep learning
convolutional neural network
information fusion
Online Access:https://ieeexplore.ieee.org/document/10459018/

Internet

https://ieeexplore.ieee.org/document/10459018/

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