Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/70989
Title: Application of regularized online sequential learning for hematocrit estimation
Authors: Huynh, Trung Hieu
Won, Yonggwan
Keywords: Hematocrit
Neural network
Online training
Extreme learning machine
Handheld device
Issue Date: 2019
Series/Report no.: Tạp chí Khoa học và Công nghệ Trường Đại học Công nghiệp Thành pố Hồ Chí Minh;Số 38 - Tr.113-118
Abstract: 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.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/70989
ISSN: 2525-2267
Appears in Collections:Khoa học và Công nghệ Trường Đại học Công nghiệp Thành phố Hồ Chí Minh

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