Non-invasive Glucose Level Estimation: A Comparison of Regression Models Using the MFCC as Feature Extractor

• Published in: Pattern Recognition pp. 206 - 215
• Main Authors: Francisco-García, Victor, Guzmán-Guzmán, Iris P., Salgado-Rivera, Rodolfo, Alonso-Silverio, Gustavo A., Alarcón-Paredes, Antonio
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2019
• Series: Lecture Notes in Computer Science
• Subjects: Mel frequency cepstral coefficients; MFCC; Non-invasive glucose measuring; Optical sensing

The present study comprises a performance comparison on well-known regression algorithms for estimating the blood glucose concentration from non-invasively acquired signals. These signals were obtained measuring the light energy transmittance of a laser-beam source through the fingertip by means of...