Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting-Reference-Cited by-同舟云学术

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting

Published:2024 Issue: Volume:12 Page:49122-49133
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hausmann Jacqueline¹^ORCID,Salekin Md Sirajus¹^ORCID,Zamzmi Ghada¹^ORCID,Mouton Peter R.²^ORCID,Prescott Stephanie³^ORCID,Ho Thao⁴^ORCID,Sun Yu¹,Goldgof Dmitry¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, College of Engineering, University of South Florida, Tampa, FL, USA

2. SRC Biosciences, Tampa, FL, USA

3. College of Nursing, USF Health, University of South Florida, Tampa, FL, USA

4. Department of Pediatrics, College of Medicine, University of South Florida, Tampa, FL, USA

Funder

National Institutes of Health

University of South Florida Nexus Initiative (UNI) Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10486909.pdf?arnumber=10486909

Reference51 articles.

1. Knowledge and Practices in Neonatal Pain Management of Nurses Employed in Hospitals with Different Levels of Referral—Multicenter Study

Pain Scales in Neonates Receiving Mechanical Ventilation in Neonatal Intensive Care Units – Systematic Review

3. Neonatal pain assessment: Do we have the right tools?

4. Introduction to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques

5. Neonatal facial and cry responses to invasive and non-invasive procedures

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