Improving heart rate estimation in preterm infants with bivariate point process analysis of heart rate and respiration-Reference-Cited by-同舟云学术

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Improving heart rate estimation in preterm infants with bivariate point process analysis of heart rate and respiration

Published:2016-08 Issue: Volume: Page:
ISSN:
Container-title:2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Gee Alan H.,Barbieri Riccardo,Paydarfar David,Indic Premananda

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7580725/7590615/07590851.pdf?arnumber=7590851

Cited by 6 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. Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review;Interactive Journal of Medical Research;2024-08-20

2. Machine Learning Methods for Neonatal Heart Rate Prediction using Respiratory Signals;2023 IEEE Statistical Signal Processing Workshop (SSP);2023-07-02

3. Physiological Signal Analysis Techniques for Preterm Infants in Detecting Adverse Outcomes: A Review (Preprint);2023-03-02

4. Toward a Taxonomy for Analyzing the Heart Rate as a Physiological Indicator of Posttraumatic Stress Disorder: Systematic Review and Development of a Framework;JMIR Mental Health;2020-07-22

5. Toward a Taxonomy for Analyzing the Heart Rate as a Physiological Indicator of Posttraumatic Stress Disorder: Systematic Review and Development of a Framework (Preprint);2019-10-10

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