Pbkp_rediction of Calibration Parameters of the Oxygen Saturation Estimation Equation by Optical Recording on Smartphones Pbkp_rediction Parameters %SpO2 by Optical Recording


Abstract:

This paper demostrate the calculate for calibration parameters of the Percent Oxygen Saturation estimation equation by means of a multiple linear regression type supervised machine learning algorithm with the objective of being able to use a smartphone as an oximeter, for this a training and test data set composed of pbkp_redictor variables representing the characteristics of the smartphones used in this development is used, in addition to the statistical parameters extracted from two thousand videos, pbkp_redicting values of with an error of less than with respect to a standard oximeter.

Año de publicación:

2021

Keywords:

  • oxygen saturation
  • Machine learning
  • VÍDEO
  • Datasets
  • SMARTHPHONE

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Laboratorio médico

Áreas temáticas:

  • Fisiología humana
  • Física aplicada
  • Instrumentos de precisión y otros dispositivos