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| 一种多信息融合无创血糖检测数据处理方法研究 |
| A research on data processing method for non-invasive blood glucose based on detection information fusion |
| 投稿时间：2017-05-28 |
| DOI：10.3969/j.issn.1005-5630.2017.05.001 |
| 中文关键词: 多信息融合 无创 血糖检测 |
| 英文关键词:multi-information fusion non-invasive blood glucose detection |
| 基金项目:国家自然科学基金项目（61378035） |
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| 摘要点击次数: 4698 |
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| 中文摘要: |
| 以生物特征检测技术为基础，基于已经构建的无创血糖检测系统进行血糖检测数据分析。以光电检测技术为主，结合其他人体特征信息检测，对人体进行无创血糖测试得到大量数据，建立数学模型并利用算法来计算血糖浓度。与一种常用有创血糖仪检测数据进行对比，有创与无创检测结果的相关系数达到了85.4%，为多信息融合无创血糖检测系统提供了一种有效的数据处理方法。 |
| 英文摘要: |
| This paper takes the biometric detection technology as a foundation to analyze the data of blood sugar examination basing on the constructed no blood sugar detection system. Taking the photoelectric detection technology as the primary position,combined with other features of human body information detection,a large amount of data is obtained by the noninvasive testing to the human body. The mathematics model is set up to calculate the blood sugar concentration. Compared with a common information of the blood glucose meter traumatic inspection,the correlation coefficient of the test results for one tester achieves 0.854,which provides a kind of prospective data-processing method for the systems of non-invasive blood glucose detection with multi-information fusion. |
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