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:
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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