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Updated: Nov 16, 2025
14:56
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
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Multimodal neonatal procedural and postoperative pain assessment dataset
Md Sirajus Salekin1, Ghada Zamzmi1, Jacqueline Hausmann1
1Department of Computer Science and Engineering, University of South Florida, Tampa, Florida, United States.
Data in Brief
|March 1, 2021
Summary
This study introduces a novel multimodal neonatal pain dataset, capturing visual, vocal, and physiological signals from infants in the neonatal intensive care unit. This resource aids in developing AI for better pain assessment and management in neonates.
Area of Science:
- Neonatal care
- Pain research
- Biomedical data science
Background:
- Accurate pain assessment in neonates is challenging due to communication limitations.
- Existing methods often rely on subjective measures or limited physiological data.
- A comprehensive dataset is needed to leverage advanced computational methods for pain evaluation.
Purpose of the Study:
- To present the first multimodal neonatal pain dataset.
- To facilitate the development of AI systems for neonatal pain monitoring and assessment.
- To advance the understanding of neonatal pain responses.
Main Methods:
- Collected multimodal data (visual, vocal, physiological) from 58 neonates undergoing painful procedures.
- Utilized RGB cameras and portable bedside monitors for data acquisition.
- Expert nurses provided ground truth pain labels using validated scales.
Main Results:
- The dataset includes visual, vocal, and physiological responses, along with clinical information.
- Data covers neonates from 27-41 weeks gestational age during NICU hospitalization.
- Expert scoring provides validated ground truth for pain levels.
Conclusions:
- The multimodal dataset is a valuable resource for developing AI-driven neonatal pain assessment tools.
- This dataset can improve the understanding of neonatal pain mechanisms.
- It has the potential to lead to more effective pain prevention and treatment strategies.
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