Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System

Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System

For long-term electrocardiogram (ECG) signal monitoring, a portable and small size acquisition device with Bluetooth low energy (BLE) communication is designed and integrated with a Nvidia Jetson Xavier NX for realizing the electrode motion artifact removal technique. The digitalized ECG codes are c...

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Bibliographic Details
Main Authors: Yu-Syuan Jhang, Szu-Ting Wang, Ming-Hwa Sheu, Szu-Hong Wang, Shin-Chi Lai
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Electrocardiogram (ECG)
ECG signal enhancement
embedded system
deep learning
denoising autoencoder (DAE)
Online Access:https://ieeexplore.ieee.org/document/9784947/

Internet

https://ieeexplore.ieee.org/document/9784947/

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