Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis-Reference-Cited by-同舟云学术

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Multi-Task Learning Mixed-Signal Classifier for In-situ Detection of Atrial Fibrillation and Sepsis

Published:2021-10-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

Sadasivuni Sudarsan,Bhanushali Sumukh Prashant,Singamsetti Sai Srinivasa,Banerjee Imon,Sanyal Arindam

Funder

Air Force Research Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9644923/9644645/09644994.pdf?arnumber=9644994

Cited by 7 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 Custom-designed Atrial Fibrillation Detection Hardware on a Flexible Substrate;2024 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS);2024-06-30

2. An SVM-Based Atrial Fibrillation Detection Processor IC with a 95.8-% Sensitivity for Low-Power Event-Driven Cardiac Monitoring Applications;2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA);2024-04-22

3. An Event-Driven Cardiac Monitoring System Based on a Low-Power Atrial-Fibrillation Detection ASIC With a Sensitivity of 92.5%;IEEE Sensors Letters;2024-03

4. Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-01

5. Fully Integrated Mixed-Signal Classifier for Cardiovascular Health Monitoring;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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