[Clinical Validation of a Prototype Smart Non-Invasive Pregnancy Glucose Monitor].

The aim of this study is to evaluate the effectiveness of a smart non-invasive blood glucose monitor prototype during pregnancy through clinical validation. The monitor utilizes near-infrared spectroscopy combined with AI big data analysis of photoelectric volumetric pulse wave data to achieve non-invasive monitoring of blood glucose in women during pregnancy. The research team developed a monitor that employs a sensing chip, effectively overcoming the problems of weak signals and individual differences in non-invasive blood glucose monitoring. The user experience is enhanced by visualizing the test results on the accompanying cell phone APP (application) of the smart non-invasive pregnancy blood glucose monitor. Clinical validation revealed that the non-invasive monitoring data for pregnant women aged 20~30 years significantly differed from those obtained <i>via</i> traditional blood glucose measurement methods, whereas no significant difference ( <i>P</i><0.05) was observed for pregnant women aged 31~42 years. The study concluded that further calibration of the monitor and an expansion of the sample size are necessary to enhance consistency with invasive glucose monitoring results.

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Publication Details

Journal
PubMed
Published
2024-09-30
DOI
https://doi.org/10.12455/j.issn.1671-7104.240106
Primary Topic
Diabetes Management and Research
Type
article
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article

[Clinical Validation of a Prototype Smart Non-Invasive Pregnancy Glucose Monitor].

Zhenzhen Sun, Qiaoling Du, Heqing Lu, Lirui Cheng et al.
PubMed
Diabetes Management and Research
article

[Clinical Validation of a Prototype Smart Non-Invasive Pregnancy Glucose Monitor].

Zhenzhen Sun, Qiaoling Du, Heqing Lu, Lirui Cheng, Xiaofeng Zhang, Zhigang Zhu
article en

Abstract

The aim of this study is to evaluate the effectiveness of a smart non-invasive blood glucose monitor prototype during pregnancy through clinical validation. The monitor utilizes near-infrared spectroscopy combined with AI big data analysis of photoelectric volumetric pulse wave data to achieve non-invasive monitoring of blood glucose in women during pregnancy. The research team developed a monitor that employs a sensing chip, effectively overcoming the problems of weak signals and individual differences in non-invasive blood glucose monitoring. The user experience is enhanced by visualizing the test results on the accompanying cell phone APP (application) of the smart non-invasive pregnancy blood glucose monitor. Clinical validation revealed that the non-invasive monitoring data for pregnant women aged 20~30 years significantly differed from those obtained <i>via</i> traditional blood glucose measurement methods, whereas no significant difference ( <i>P</i><0.05) was observed for pregnant women aged 31~42 years. The study concluded that further calibration of the monitor and an expansion of the sample size are necessary to enhance consistency with invasive glucose monitoring results.

PubMedVol. 48(5)
University of Shanghai for Science and Technology (CN), Shanghai First Maternity and Infant Hospital (CN)
Diabetes Management and Research
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[Clinical Validation of a Prototype Smart Non-Invasive Pregnancy Glucose Monitor]. — Zhenzhen Sun, Qiaoling Du, et al. · PubMed (2024) | TGRS Research Map | TGRS