智能无创妊娠期血糖监测仪样机的临床验证

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

该研究旨在通过临床验证,评估一款智能无创妊娠期血糖监测仪样机的有效性。该监测仪基于近红外光谱法,利用AI大数据分析光电容积脉搏波数据,实现对妊娠期妇女血糖的无创监测。研究团队开发了一种利用感测芯片的监测仪,有效克服了无创血糖监测中的信号弱和个体差异问题。通过智能无创妊娠期血糖监测仪配套手机APP(application)上直观显示检测结果,提升了用户体验。临床验证显示,20~30岁孕妇的无创监测数据与传统血糖测量方法存在显著差异(P<0.05),而31~42岁孕妇则无显著差异。研究指出,该监测仪需进一步校准和扩大样本量,以提高与有创血糖监测结果的一致性。

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 via traditional blood glucose measurement methods,whereas no significant difference(P<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.