Smartphone-Based Blood Lipid Data Acquisition for Cardiovascular Disease Management in Internet of Medical Things

Xiwei Huang; Yangbo Li; Jin Chen; Jixuan Liu; Renjie Wang; Xuefeng Xu; Jiangfan Yao; Jinhong Guo

doi:10.1109/ACCESS.2019.2922059

IEEE Access (Jan 2019)

Smartphone-Based Blood Lipid Data Acquisition for Cardiovascular Disease Management in Internet of Medical Things

Xiwei Huang,
Yangbo Li,
Jin Chen,
Jixuan Liu,
Renjie Wang,
Xuefeng Xu,
Jiangfan Yao,
Jinhong Guo

Affiliations

Xiwei Huang: ORCiD; Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Yangbo Li: Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Jin Chen: Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Jixuan Liu: Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Renjie Wang: Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Xuefeng Xu: Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Jiangfan Yao: Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
Jinhong Guo: ORCiD; School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China

DOI: https://doi.org/10.1109/ACCESS.2019.2922059
Journal volume & issue: Vol. 7
pp. 75276 – 75283

Abstract

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With the ubiquitous deployment of smartphones worldwide recently, biomedical diagnostic devices based on smartphones are potential to be widely used for smart health management on the Internet of Medical Things (IoMT) applications under point-of-care (PoC) settings. Therefore, this paper introduces one smartphone-based blood lipid data acquisition dongle to monitor blood lipid level, including total cholesterol (TC), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C), using only a fingertip blood drop for cardiovascular disease management. During detection, a thin photochemical test strip that consists of LEDs and detectors is plugged into the compact dongle, where changed color intensities will indicate the lipid determinant concentration from the measured reflection coefficient of the chromogenic product. Such smartphone-based photochemical blood lipid data acquisition dongle was validated by comparing with a clinical analyzer, and reached a correlation coefficient over 0.903 and averaged coefficient of variation (CV)% of 4.575% for blood lipid measurement of 115 patients. The photochemical dongle is, therefore, promising for the future chronic disease management in the IoMT.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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