An Improved ConvNeXt With Multimodal Transformer for Physiological Signal Classification

An Improved ConvNeXt With Multimodal Transformer for Physiological Signal Classification

With escalating mortality rates associated with cardiovascular disease, the early detection of arrhythmias assumes ever-increasing significance. This study introduces a novel multimodal network that concurrently classifies electrocardiogram (ECG) and wrist pulse signal (WPS). Both ECG and WPS, as hu...

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Bibliographic Details
Main Authors: Jiajian Zhu, Yue Feng, Qichao Liu, Hong Xu, Yuan Miao, Zhuosheng Lin, Jia Li, Huilin Liu, Ying Xu, Fufeng Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Electrocardiogram
wrist pulse signal
transfer learning
coronary heart disease classification
Online Access:https://ieeexplore.ieee.org/document/10401880/
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https://ieeexplore.ieee.org/document/10401880/

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