Machine assessment of neonatal facial expressions of acute pain

Document Type

Article

Publication Date

8-1-2007

Abstract

We propose that a machine assessment system of neonatal expressions of pain be developed to assist clinicians in diagnosing pain. The facial expressions of 26 neonates (age 18-72 h) were photographed experiencing the acute pain of a heel lance and three nonpain stressors. Four algorithms were evaluated on out-of-sample observations: PCA, LDA, SVMs and NNSOA. NNSOA provided the best classification rate of pain versus nonpain (90.20%), followed by SVM with linear kernel (82.35%). We believe these results indicate a high potential for developing a decision support system for diagnosing neonatal pain from images of neonatal facial displays. © 2006 Elsevier B.V. All rights reserved.

Identifier

34547666978 (Scopus)

Publication Title

Decision Support Systems

External Full Text Location

https://doi.org/10.1016/j.dss.2006.02.004

ISSN

01679236

First Page

1242

Last Page

1254

Issue

4

Volume

43

Grant

1015-22-2181

Fund Ref

Missouri State University

This document is currently not available here.

Share

COinS