Literature DB >> 25389055

Neonatal procedural pain can be assessed by computer software that has good sensitivity and specificity to detect facial movements.

Tatiany Marcondes Heiderich1, Ana Teresa Figueiredo Stochero Leslie, Ruth Guinsburg.   

Abstract

AIM: The difficulty in assessing pain during the neonatal period is one of the main obstacles for appropriate analgesia in intensive care units. The aim of this study was to develop and validate computer software to monitor neonatal facial movements of pain in real time.
METHODS: The software was developed in the Delphi integrated development environment and provides real-time image analysis during monitoring, based on image recognition of pain-related facial actions. To validate the software performance, facial images were obtained during the monitoring of 30 neonates who were subjected to painful procedures related to daily care management. Of the 5644 images identified and analysed by the software, 360 images - 12 per infant - were randomly selected and assessed by six healthcare professionals with experience of recognising neonatal pain.
RESULTS: The agreement between the examiners and the software assessment was excellent (κ = 0.975). The software exhibited 85% sensitivity and 100% specificity in detecting neutral facial expressions in the resting state and 100% sensitivity and specificity in detecting pain during painful procedures.
CONCLUSION: It is possible to assess neonatal procedural pain using computer software that has good sensitivity and specificity to detect facial movements. ©2014 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Computer software; Facial recognition; Newborn infant; Pain assessment; Procedural pain

Mesh:

Year:  2014        PMID: 25389055     DOI: 10.1111/apa.12861

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  5 in total

1.  Identification of pain in neonates: the adults' visual perception of neonatal facial features.

Authors:  Marina Carvalho de Moraes Barros; Carlos Eduardo Thomaz; Giselle Valério Teixeira da Silva; Juliana do Carmo Azevedo Soares; Lucas Pereira Carlini; Tatiany Marcondes Heiderich; Rafael Nobre Orsi; Rita de Cassia Xavier Balda; Pedro Augusto Santos Orona Silva; Adriana Sanudo; Solange Andreoni; Ruth Guinsburg
Journal:  J Perinatol       Date:  2021-07-12       Impact factor: 2.521

2.  Can grimace scales estimate the pain status in horses and mice? A statistical approach to identify a classifier.

Authors:  Emanuela Dalla Costa; Riccardo Pascuzzo; Matthew C Leach; Francesca Dai; Dirk Lebelt; Simone Vantini; Michela Minero
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

Review 3.  Defining pain in newborns: need for a uniform taxonomy?

Authors:  Kanwaljeet J S Anand
Journal:  Acta Paediatr       Date:  2017-07-18       Impact factor: 2.299

4.  Availability of researcher-led eHealth tools for pain assessment and management: barriers, facilitators, costs, and design.

Authors:  Kristen S Higgins; Perri R Tutelman; Christine T Chambers; Holly O Witteman; Melanie Barwick; Penny Corkum; Doris Grant; Jennifer N Stinson; Chitra Lalloo; Sue Robins; Rita Orji; Isabel Jordan
Journal:  Pain Rep       Date:  2018-09-11

5.  Looking at neonatal facial features of pain: do health and non-health professionals differ?

Authors:  Juliana do Carmo Azevedo Soares; Marina Carvalho de Moraes Barros; Giselle Valério Teixeira da Silva; Lucas Pereira Carlini; Tatiany Marcondes Heiderich; Rafael Nobre Orsi; Rita de Cássia Xavier Balda; Pedro Augusto Santos Orona Silva; Carlos Eduardo Thomaz; Ruth Guinsburg
Journal:  J Pediatr (Rio J)       Date:  2021-12-13       Impact factor: 2.990

  5 in total

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