Lumos:用于可穿戴光谱研究的开源设备

Amanda Watson, Claire Kendell, Anush Lingamoorthy, Insup Lee, James Weimer
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引用次数: 1

摘要

光谱学是研究电磁辐射与物质之间相互作用的学科,在许多学科中都是一项至关重要的技术。该技术仅限于实验室设置,因此,传感是孤立的和不常见的。因此,它只能提供被监视参数的简要快照。可穿戴技术将传感和跟踪技术带入日常生活,创建纵向数据集,提供对监测参数的更多了解。本文介绍了一种用于可穿戴光谱研究的开源设备Lumos。荧光灯可以促进身体光谱研究在健康监测,运动,康复,和更多。我们开发了一种算法来确定平均绝对误差为13nm的介质的光谱响应。由此,研究人员可以确定最佳光谱,并为其目标应用创建定制的传感器。我们在前期研究中展示了Lumos的效用,检测糖尿病前期,我们确定了葡萄糖的相关光谱,并创建和评估了目标跟踪设备。
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Lumos: An Open-Source Device for Wearable Spectroscopy Research
Spectroscopy, the study of the interaction between electromagnetic radiation and matter, is a vital technique in many disciplines. This technique is limited to lab settings, and, as such, sensing is isolated and infrequent. Thus, it can only provide a brief snapshot of the monitored parameter. Wearable technology brings sensing and tracking technologies out into everyday life, creating longitudinal datasets that provide more insight into the monitored parameter. In this paper, we describe Lumos, an open-source device for wearable spectroscopy research. Lumos can facilitate on-body spectroscopy research in health monitoring, athletics, rehabilitation, and more. We developed an algorithm to determine the spectral response of a medium with a mean absolute error of 13nm. From this, researchers can determine the optimal spectrum and create customized sensors for their target application. We show the utility of Lumos in a pilot study, sensing of prediabetes, where we determine the relevant spectrum for glucose and create and evaluate a targeted tracking device.
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