Neonatal pain assessment: A Kendall analysis between clinical and visually perceived facial features

Author(s)

Tamanaka, Fernanda G. ; Carlini, Lucas Pereira ; Heiderich, Tatiany M. ; Balda, Rita C. X. ; Barros, Marina C. M. ; Guinsburg, Ruth ; Thomaz, Carlos E.

• Document type: Journal article
• Source: COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION; v. N/A, p. 10-pg., 2022-03-08.

Abstract

Newborns feel pain and the more premature they are, the more immature are their pain attenuation system. Facial expression recognition provides a non-invasive method that has been widely used in clinical practice to assess pain in newborns. In this context, this work has performed a qualitative and quantitative assessment between the ranking importance of neonatal facial features proposed by 13 clinical scales commonly cited in the literature and the visual perception of 143 health and non-health professionals on those same features. The degree of similarity between these two ranking approaches was evaluated by Kendall's correlation. To the clinical scales, the most relevant facial features are the eyes, regions in-between eyebrows and forehead. However, according to the visual perception of the participants when assessing pain on face images, regardless of clinical expertise, the most relevant facial feature is the nose. These qualitative results are statistically supported by the Kendall analyses carried out. Specifically, our results highlight that the neonatal facial features ranked as the most important ones by the clinical scales cannot be considered correlated with the visual perception of the participants, either experts or non-experts. Moreover, all groups of participants have presented high correlated rankings between each other. (AU)

• FAPESP's process: 18/13076-9 - Face Images, Feature Extraction and Pattern Recognition: Computational Methods to Assess Neonatal Procedural Pain
• Grantee: Carlos Eduardo Thomaz
• Support Opportunities: Regular Research Grants