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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An Improved ConvNeXt With Multimodal Transformer for Physiological Signal Classification

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