Multi-channel Trans-impedance Leadforming for Cardiopulmonary Monitoring: Algorithm Development and Feasibility Assessment using In Vivo Animal Data-Reference-Cited by-同舟云学术

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Multi-channel Trans-impedance Leadforming for Cardiopulmonary Monitoring: Algorithm Development and Feasibility Assessment using In Vivo Animal Data

Published:2021 Issue: Volume: Page:1-1
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Lee Kyounghun,Jang Geuk Young,Kim Yongmin,Woo Eung Je

Funder

Ministry of Trade Industry Energy of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/4359967/09633172.pdf?arnumber=9633172

Cited by 3 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. Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring;Computer Methods and Programs in Biomedicine;2024-04

2. Comparison of noninvasive cardiac output and stroke volume measurements using electrical impedance tomography with invasive methods in a swine model;Scientific Reports;2024-02-05

3. Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography;Machine Learning: Science and Technology;2023-03-01

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