We reported measurement results relating to non-invasive glucose sensing using a novel multiwavelength approach that combines radio frequency and near infrared signals in transmission through aqueous glucose-loaded solutions. Data were collected simultaneously in the 37–39 GHz and 900–1800 nm electromagnetic bands. We successfully detected changes in the glucose solutions with varying glucose concentrations between 80 and 5000 mg/dl. The measurements showed for the first time that, compared to single modality systems, greater accuracy on glucose level prediction can be achieved when combining transmission data from these distinct electromagnetic bands, boosted by machine learning algorithms.

中文翻译：

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结合毫米波和近红外传输技术提高水溶液中无创葡萄糖感测的准确性

我们报告了使用新型多波长方法将无创葡萄糖感测相关的测量结果，该方法结合了射频和近红外信号在通过葡萄糖水溶液水溶液的传输中的传输。在37–39 GHz和900–1800 nm电磁波段中同时收集数据。我们成功地检测到葡萄糖浓度在80至5000 mg / dl之间变化的葡萄糖溶液中的变化。测量结果首次显示，与单模态系统相比，通过机器学习算法增强来自这些不同电磁带的传输数据的结合，可以实现更高的血糖水平预测准确性。