分析了目前直接利用携带复杂组织背景信息的人体近红外光谱进行无创血糖检测方法存在的技术障碍:作为主要信息载体的人体生理背景成分复杂、易变,导致测得的人体近红外光谱无法反映血液中血糖浓度的变化信息,因此,其检测精度很难达到临床应用的要求。提出一种新方法,即利用血流容积一直在变而人体组织背景和血液成分含量短时间不变的事实,消除人体组织背景干扰,获得只反映血液信息的"纯净"光谱,将近红外无创血糖检测技术的重点问题转移到如何得到具有较高信噪比的光谱数据,为该技术的临床应用提供了可能性。
At present, there are some technical obstacles in using the near-infrared spectra directly to noninvasive glucose measurement. These spectra contain complex tissues background information. As main information carrier, human tissue is complex and variable, leading to the near-infrared spectra of human not reflecting blood glucose. So the detection accuracy of this way can't satisfy the clinical application. Factually, blood volume is always changing, but tissue background and the concentrations of blood glucose are nearly unchanged in a short period. Utilizing this point, a new method of noninvasive glucose measurement is introduced in this paper. The interference of tissue background is eliminated and blood spectra is obtained finally. This method converts key obstacle of noninvasive glucose sensing to how to obtain spectra with high signal-to-noise ratio. It proposes a possible way to clinical noninvasive glucose measurement.