Nguyen Thien, Park Soongho, Park Jinho, Sodager Asma, George Tony, Gandjbakhche Amir
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 49 Convent Drive, Bethesda, MD 20892-4480, USA.
Bioengineering (Basel). 2024 Apr 16;11(4):385. doi: 10.3390/bioengineering11040385.
Most currently available wearable devices to noninvasively detect hypoxia use the spatially resolved spectroscopy (SRS) method to calculate cerebral tissue oxygen saturation (StO). This study applies the single source-detector separation (SSDS) algorithm to calculate StO. Near-infrared spectroscopy (NIRS) data were collected from 26 healthy adult volunteers during a breath-holding task using a wearable NIRS device, which included two source-detector separations (SDSs). These data were used to derive oxyhemoglobin (HbO) change and StO. In the group analysis, both HbO change and StO exhibited significant change during a breath-holding task. Specifically, they initially decreased to minimums at around 10 s and then steadily increased to maximums, which were significantly greater than baseline levels, at 25-30 s (-HbO < 0.001 and -StO < 0.05). However, at an individual level, the SRS method failed to detect changes in cerebral StO in response to a short breath-holding task. Furthermore, the SSDS algorithm is more robust than the SRS method in quantifying change in cerebral StO in response to a breath-holding task. In conclusion, these findings have demonstrated the potential use of the SSDS algorithm in developing a miniaturized wearable biosensor to monitor cerebral StO and detect cerebral hypoxia.
目前大多数用于无创检测缺氧的可穿戴设备采用空间分辨光谱（SRS）方法来计算脑组织氧饱和度（StO）。本研究应用单源探测器分离（SSDS）算法来计算StO。使用可穿戴近红外光谱（NIRS）设备在屏气任务期间从26名健康成年志愿者收集近红外光谱数据，该设备包括两个源探测器分离（SDS）。这些数据用于推导氧合血红蛋白（HbO）变化和StO。在组分析中，屏气任务期间HbO变化和StO均表现出显著变化。具体而言，它们最初在10秒左右降至最低，然后在25 - 30秒稳步升至最高，显著高于基线水平（-HbO < 0.001且-StO < 0.05）。然而，在个体水平上，SRS方法未能检测到对短屏气任务的脑StO变化。此外，在量化对屏气任务的脑StO变化方面，SSDS算法比SRS方法更稳健。总之，这些发现证明了SSDS算法在开发用于监测脑StO和检测脑缺氧的小型化可穿戴生物传感器方面的潜在用途。
