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Orientador(es)
Resumo(s)
Detailed coding of facial activity provides a mechanism for understanding the biological, behavioral, cognitive and social processes of pain that self-report measures do not address[1]. Facial activity appears to be the most consistent expression of pain, mediated by specific neurological circuits[2]. Studies have shown that facial expressions of pain are consistent and universal across different cultures, reflecting automatic responses to nociceptive stimuli[3, 4]. Thus, the proposed objective was to develop software to objectively measure experimentally induced acute low back pain during a submaximal strength test, using facial activity coding to capture biological and behavioral processes that complement traditional self-reporting methods.
Descrição
Palavras-chave
Artificial intelligence Induced acute low back pain Strength Facial expression
Contexto Educativo
Citação
Parolini, F., Becker, Goethel, M., Pires, R., Dereste, S., Ervilha, U., Vilas-Boas, J. P., & Rubim Santos, R. (2025, fevereiro). Visualizing low back pain: Analysis of facial expressions for objective measurement through image processing. 11o CONGRESSO NACIONAL DE BIOMECÂNICA. https://cnb2025.tecnico.ulisboa.pt/prog_cnb2025_web/abstracts_cnb225/ID_293_922_RESUMO_CNB_2025.pdf
Editora
Sociedade Portuguesa de Biomecânica
Licença CC
Sem licença CC