Open AccessAPPLICATION OF REGULARIZED ONLINE SEQUENTIAL LEARNING FOR HEMATOCRIT ESTIMATION
Author(s) -
Hieu Trung Huynh,
Yonggwan Won
Publication year - 2020
Publication title -
khoa học và công nghệ
Language(s) - English
Resource type - Journals
ISSN - 2525-2267
DOI - 10.46242/jst-iuh.v38i02.291
Subject(s) - hematocrit , mobile device , computer science , online learning , red blood cell , artificial intelligence , biomedical engineering , medicine , multimedia , operating system
Hematocrit (HCT) is expressed as the percentage of red blood cells in the whole blood, it is one of the most highly affecting factors which influences the glucose measurement by using handheld device. In this paper, we present an approach for applying the regularized online sequential learning to hematocrit estimation. The input is the transduced current curve which is produced by the chemical reaction during glucose measurement. The experimental results shown that the proposed approach is promising.