Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.

Khan, Muhammad Umar; Aziz, Sumair; Hirachan, Niraj; Joseph, Calvin; Li, Jasper; Fernandez-Rojas, Raul

Khan, Muhammad Umar; Aziz, Sumair; Hirachan, Niraj; Joseph, Calvin; Li, Jasper; Fernandez-Rojas, Raul.

Afiliação

Khan MU; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT 2617, Australia.
Aziz S; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT 2617, Australia.
Hirachan N; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT 2617, Australia.
Joseph C; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT 2617, Australia.
Li J; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT 2617, Australia.
Fernandez-Rojas R; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT 2617, Australia.

Sensors (Basel) ; 23(8)2023 Apr 14.

Article em En | MEDLINE | ID: mdl-37112321

Assuntos

Volume Sanguíneo; Redes Neurais de Computação; Humanos; Medição da Dor; Frequência Cardíaca; Dor/diagnóstico; Algoritmos

Palavras-chave

PPG; blood volume pulse (BVP); feature extraction; machine learning; pain classification; pain intensity classification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Volume Sanguíneo / Redes Neurais de Computação Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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