Your browser doesn't support javascript.
loading
Remote photoplethysmography based on reflected light angle estimation.
Fan, Xuanhe; Liu, Fangwu; Zhang, Jinjin; Gao, Tong; Fan, Ziyang; Huang, Zhijie; Xue, Wei; Zhang, JingJing.
Afiliação
  • Fan X; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
  • Liu F; Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, People's Republic of China.
  • Zhang J; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
  • Gao T; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
  • Fan Z; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
  • Huang Z; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
  • Xue W; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
  • Zhang J; China University of Geosciences, Wuhan, China, School of Automation, Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, People's Republic of China.
Physiol Meas ; 45(3)2024 Mar 20.
Article em En | MEDLINE | ID: mdl-38430568
ABSTRACT
Objective. In previous studies, the factors affecting the accuracy of imaging photoplethysmography (iPPG) heart rate (HR) measurement have been focused on the light intensity, facial reflection angle, and motion artifacts. However, the factor of specularly reflected light has not been studied in detail. We explored the effect of specularly reflected light on the accuracy of HR estimation and proposed an estimation method for the direction of specularly radiated light.Approach. To study the HR measurement accuracy influenced by specularly reflected light, we control the component of specularly reflected light by controlling its angle. A total of 100 videos from four different reflected light angles were collected, and 25 subjects participated in the dataset collection. We extracted angles and illuminations for 71 facial regions, fitting sample points through interpolation, and selecting the angle corresponding to the maximum weight in the fitted curve as the estimated reflected angle.Main results. The experimental results show that higher specularly reflected light compromises HR estimation accuracy under the same value of light intensity. Notably, at a 60° angle, the HR accuracy (ACC) increased by 0.7%, while the signal-to-noise ratio and Pearson correlation coefficient increased by 0.8 dB and 0.035, respectively, compared to 0°. The overall root mean squared error, standard deviation, and mean error of our proposed reflected light angle estimation method on the illumination multi-angle incidence (IMAI) dataset are 1.173°, 0.978°, and 0.773°. The average Pearson value is 0.8 in the PURE rotation dataset. In addition, the average ACC of HR measurements in the PURE dataset is improved by 1.73% in our method compared to the state-of-the-art traditional methods.Significance. Our method has great potential for clinical applications, especially in bright light environments such as during surgery, to improve accuracy and monitor blood volume changes in blood vessels.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Fotopletismografia Limite: Humans Idioma: En Revista: Physiol Meas Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Fotopletismografia Limite: Humans Idioma: En Revista: Physiol Meas Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article