Power-efficient joint compressed sensing of multi-lead ECG signals-Reference-Cited by-同舟云学术

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Power-efficient joint compressed sensing of multi-lead ECG signals

Published:2014-05 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Mamaghanian Hossein,Ansaloni Giovanni,Atienza David,Vandergheynst Pierre

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6844297/6853544/06854435.pdf?arnumber=6854435

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Taxonomy of Low-Power Techniques in Wearable Medical Devices for Healthcare Applications;Electronics;2024-08-05

2. ECG signals compression using dynamic compressive sensing technique toward IoT applications;Multimedia Tools and Applications;2023-09-26

3. Spoof Attacks Detection Based on Authentication of Multimodal Biometrics Face-ECG Signals;Artificial Intelligence for Smart Healthcare;2023

4. Dictionary Learning-Based Multichannel ECG Reconstruction Using Compressive Sensing;IEEE Sensors Journal;2022-08-15

5. ECG Monitoring Based on Dynamic Compressed Sensing of Multi-Lead Signals;Sensors;2021-10-22

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