用光纤传感软垫实现身体生理信号的高精度空间监测。
A Nearable Soft Mat Based on Distributed Optical Fiber Sensing for Physiological Monitoring
- 将单模光纤嵌入硅胶中,呈蛇形布局实现大面积分布式感知。
- 每2.6毫米一个采样点,共2250个感知位点,采样率50赫兹。
- 可实时映射呼吸心跳引起的机械变化,适合健康监测场景。
分布式光纤传感(DOFS)结合了光纤传感器的柔性、小型化、抗电磁干扰和高测量性能优势,能将一根光纤转化为连续的空间分辨机械传感元件。基于瑞利后向散射的光频域反射技术(OFDR)实现了高空间分辨率的DOFS测量,拓展了传感应用范围。然而,尽管对灵敏、空间分辨且贴合人体的传感界面有需求,基于OFDR的DOFS在生物医学领域仍鲜有探索。本研究提出一种基于软性光纤传感的垫子,作为大面积生理监测接口。将单模光纤嵌入柔性硅胶基质中,并采用蛇形排布以实现传感分布。在2.6毫米的标距下,系统在有效区域提供2250个传感点,采样频率为50赫兹。该垫在六名健康志愿者的坐姿近体配置下进行了测试,置于普通办公椅靠背上。分布式输出实现了二维响应图谱,反映垫子与背部的力学耦合及心肺活动引起的扰动。据此估计了呼吸率和心率,并与参考可穿戴设备对比。结果表明,地图呈现生理上一致的空间与时间模式,估计值与参考数据高度吻合。这些结果证明,在基于DOFS的软性近体接口中实现大面积分布式传感、空间映射与定量心肺监测是可行的。
原文摘要 · Abstract (English)
Distributed optical fiber sensing (DOFS) combines the advantages of fiber optic sensors, including flexibility, small size, immunity to electromagnetic interference, and high metrological performance, with the capability to transform a single optical fiber into a continuous sensing element for spatially resolved mechanical measurements. Optical frequency domain reflectometry (OFDR), based on Rayleigh backscattering, enables high spatial resolution DOFS measurements, broadening the range of potential sensing applications. However, OFDR based DOFS remains largely unexplored for biomedical applications, despite the need for sensitive, spatially resolved, and conformable sensing interfaces. This study presents a soft DOFS based mat as a large-area interface for physiological monitoring. A single-mode optical fiber was embedded in a flexible silicone matrix and arranged in a serpentine layout to distribute sensing over the mat surface. With a gage pitch of 2.6 mm, the system provided 2250 sensing sites across the active area at a sampling frequency of 50 Hz. The mat was assessed on six healthy volunteers in a seated nearable configuration on the backrest of a standard office chair. The distributed output enabled two dimensional mapping of the mat response, reflecting back mat mechanical coupling and cardiorespiratory induced perturbations. Respiratory rate and heart rate were therefore estimated and compared with a reference wearable system. The maps revealed physiologically coherent spatial and temporal patterns, while the estimated rates showed good agreement with the reference measurements. These results demonstrate the feasibility of combining large area distributed sensing, spatial mapping, and quantitative cardiorespiratory monitoring within a DOFS based soft nearable interface.
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