Entropy Analysis of Total Respiratory Time Series for Sepsis Detection-Reference-Cited by-同舟云学术

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Entropy Analysis of Total Respiratory Time Series for Sepsis Detection

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 E-Health and Bioengineering Conference (EHB)
language:
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Author:

Sousa Hugo¹,Ribeiro Maria²,Henriques Teresa S.³

Affiliation:

1. University of Porto, FEUP,Faculty of Engineering,Porto,Portugal

2. Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC),Porto,Portugal

3. University of Porto,Centre for Health Technology and Services Research, CINTESIS, Faculty of Medicine,Porto,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9991246/9991267/09991277.pdf?arnumber=9991277

Reference32 articles.

1. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

2. Contemporary Trends in Global Mortality of Sepsis Among Young Infants Less Than 90 Days: A Systematic Review and Meta-Analysis

3. Pediatric sepsis

4. Breathing variability—implications for anaesthesiology and intensive care

5. Vital signs as physiomarkers of neonatal sepsis

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1. A Comprehensive Literature Review on Slope Entropy Algorithm: Bridging Past Insights with Future Directions;Lecture Notes in Networks and Systems;2024

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