使用 FPGA 的实时漫射相关光谱学片上设备解决方案

Biosensors Pub Date : 2024-08-08 DOI:10.3390/bios14080384
Christopher H. Moore, Ulas Sunar, Wei Lin
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摘要

弥散相关光谱(DCS)是一种用于评估深层组织血液灌注的非侵入性技术。然而,它需要大量计算资源进行数据分析,这给实时应用带来了挑战。为了满足这一需求,我们开发了一种新型片上设备解决方案,它完全集成了 DCS 所需的所有必要计算组件。它采用光子探测器的输出,确定血流指数 (BFI)。它是在现场可编程门阵列(FPGA)芯片上实现的,包括一个用于计算时间光强自相关函数的多头相关器和一个用于执行曲线拟合操作的 DCS 分析器,后者以 6000 BFIs/s 的速度得出 BFI。FPGA DCS 系统与实验室标准 DCS 系统在模型和袖带缺血研究中进行了对比评估。结果表明,FPGA DCS 和参考 DCS 的光相关性和 BFI 的自相关性匹配良好。此外,FPGA DCS 系统还能达到 50 Hz 的测量速率,并能解析搏动血流。这可以大大降低 DCS 计算组件的成本和占地面积,并为便携式实时 DCS 系统铺平道路。
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A Device-on-Chip Solution for Real-Time Diffuse Correlation Spectroscopy Using FPGA
Diffuse correlation spectroscopy (DCS) is a non-invasive technology for the evaluation of blood perfusion in deep tissue. However, it requires high computational resources for data analysis, which poses challenges in its implementation for real-time applications. To address the unmet need, we developed a novel device-on-chip solution that fully integrates all the necessary computational components needed for DCS. It takes the output of a photon detector and determines the blood flow index (BFI). It is implemented on a field-programmable gate array (FPGA) chip including a multi-tau correlator for the calculation of the temporal light intensity autocorrelation function and a DCS analyzer to perform the curve fitting operation that derives the BFI at a rate of 6000 BFIs/s. The FPGA DCS system was evaluated against a lab-standard DCS system for both phantom and cuff ischemia studies. The results indicate that the autocorrelation of the light correlation and BFI from both the FPGA DCS and the reference DCS matched well. Furthermore, the FPGA DCS system was able to achieve a measurement rate of 50 Hz and resolve pulsatile blood flow. This can significantly lower the cost and footprint of the computational components of DCS and pave the way for portable, real-time DCS systems.
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