Vali Kourosh, Vafi Ata, Kasap Begum, Ghiasi Soheil
University of California, Davis, Electrical and Computer Engineering Department, USA.
ACM Trans Embed Comput Syst. 2023 Sep 9;22(5 Suppl). doi: 10.1145/3607916.
In wearable optical sensing applications whose target tissue is not superficial, such as deep tissue oximetry, the task of embedded system design has to strike a balance between two competing factors. On one hand, the sensing task is assisted by increasing the radiated energy into the body, which in turn, improves the signal-to-noise ratio (SNR) of the deep tissue at the sensor. On the other hand, patient safety consideration imposes a constraint on the amount of radiated energy into the body. In this paper, we study the trade-offs between the two factors by exploring the design space of the light source activation pulse. Furthermore, we propose BASS, an algorithm that leverages the activation pulse design space exploration, which further optimizes deep tissue SNR via spectral averaging, while ensuring the radiated energy into the body meets a safe upper bound. The effectiveness of the proposed technique is demonstrated via analytical derivations, simulations, and measurements in both pregnant sheep models and human subjects.
在诸如深部组织血氧测定法等目标组织并非浅表的可穿戴光学传感应用中，嵌入式系统设计的任务必须在两个相互矛盾的因素之间取得平衡。一方面，通过增加向体内辐射的能量来辅助传感任务，这反过来又提高了传感器处深部组织的信噪比（SNR）。另一方面，出于患者安全考虑，对向体内辐射的能量量施加了限制。在本文中，我们通过探索光源激活脉冲的设计空间来研究这两个因素之间的权衡。此外，我们提出了BASS算法，该算法利用激活脉冲设计空间探索，通过光谱平均进一步优化深部组织SNR，同时确保向体内辐射的能量符合安全上限。通过在孕羊模型和人体受试者中的分析推导、模拟和测量，证明了所提出技术的有效性。
