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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Veröffentlicht in:	IEEE access Jg. 10; S. 57555 - 57564
Hauptverfasser:	Jhang, Yu-Syuan, Wang, Szu-Ting, Sheu, Ming-Hwa, Wang, Szu-Hong, Lai, Shin-Chi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive filters Algorithms Artificial intelligence Bluetooth Circuits Convolution Deep learning denoising autoencoder (DAE) ECG signal enhancement Electrocardiogram (ECG) Electrocardiography Electrodes embedded system Embedded systems Machine learning Noise Noise generation Noise measurement Noise reduction Portable equipment Signal monitoring Signal to noise ratio
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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