Clinical valid pain database with biomarker and visual information for pain level analysis

Peng Liu, Idris Yazgan, Sarah Olsen, Alecia Moser, Umur Ciftci, Saeed Bajwa, Christian Tvetenstrand, Peter Gerhardstein, Omowunmi Sadik, Lijun Yin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Pain is one of the most common and distressing symptoms reported by emergency room patients. Valid and reliable assessment of pain is essential for both clinical trials and effective pain management. A major limitation of automatic pain assessment by the facial expression is the lack of clinically validated data. This work aims at collecting a pain expression database for pain intensity analysis in clinical settings. The database includes 140 color video sequences, 140 multi-sensor sequences obtained by the Kinect 2, patients' sequence-level self-report, Cyclooxygenases (COXs) level, and inducible nitric oxide synthase (iNOS) level in the blood samples. The database also includes head poses and derived facial landmarks from the 2D video. The relationships of their self-report, Cyclooxygenases (COXs), inducible nitric oxide synthase (iNOS), head pose and facial expression are analyzed. The correlation between the clinical and non-clinical pain facial expressions have been evaluated as well.

Original languageEnglish (US)
Title of host publicationProceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages525-529
Number of pages5
ISBN (Electronic)9781538623350
DOIs
StatePublished - Jun 5 2018
Externally publishedYes
Event13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 - Xi'an, China
Duration: May 15 2018May 19 2018

Publication series

NameProceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018

Conference

Conference13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
Country/TerritoryChina
CityXi'an
Period5/15/185/19/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Control and Optimization

Keywords

  • Database
  • Expression analysis

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