首页> 外国专利> FUNCTIONAL NEAR-INFRARED SPECTROSCOPY AS A MONITOR FOR DEPTH OF ANESTHESIA

FUNCTIONAL NEAR-INFRARED SPECTROSCOPY AS A MONITOR FOR DEPTH OF ANESTHESIA

机译:功能近红外光谱作为麻醉深度的监测器

摘要

Disclosed are methods and devices for measuring a state of anesthesia in a noninvasive manner. Optical techniques may be used to measure changes in a functional near-infrared (fNIR) signal, where the fNIR signal is received in response to directing wavelengths of light in a near-infrared range on a patient. The optical density change may be used to obtain a change in deoxyhemoglobin (deoxy-Hb) concentration and/or a change in an oxyhemoglobin concentration (oxy-Hb). The changes in the deoxy-Hb and/or the oxy-Hb may then be compared to determine a state of anesthesia.;The effect of artifacts (e.g., strong surgery room lighting, patient-table tilting, patient intubation/extubation) on the fNIR signal may be removed using a noise removal algorithm. In selecting the noise removal algorithm, a switching technique may be used to select the component analysis algorithm, such as a principal component analysis (PCA), an independent component analysis (ICA), or the like.
机译:公开了用于以无创方式测量麻醉状态的方法和装置。可以使用光学技术来测量功能性近红外(fNIR)信号的变化,其中响应于患者的近红外范围内的光的定向波长接收fNIR信号。光学密度变化可用于获得脱氧血红蛋白(deoxy-Hb)浓度的变化和/或氧合血红蛋白浓度(oxy-Hb)的变化。然后可以比较脱氧血红蛋白和/或血红蛋白Hb的变化,以确定麻醉状态。假象(例如,强烈的手术室照明,患者台倾斜,患者插管/拔管)的影响。可以使用噪声去除算法去除fNIR信号。在选择噪声去除算法时,可以使用切换技术来选择成分分析算法,例如主成分分析(PCA),独立成分分析(ICA)等。

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