Instituto de Telecomunicações, Campus Universitário de Santiago, Aveiro, PortugalbCentro de Automática y Robótica, CSIC-UPM, Arganda del Rey, Madrid, SpaincUniversity of Aveiro, Department of Physics and I3N, Campus Universitário de Santiago, Aveiro, Portugal.
Instituto de Telecomunicações, Campus Universitário de Santiago, Aveiro, Portugal.
J Biomed Opt. 2017 Sep 1;22(9):91507. doi: 10.1117/1.JBO.22.9.091507.
In an era of unprecedented progress in technology and increase in population age, continuous and close monitoring of elder citizens and patients is becoming more of a necessity than a luxury. Contributing toward this field and enhancing the life quality of elder citizens and patients with disabilities, this work presents the design and implementation of a noninvasive platform and insole fiber Bragg grating sensors network to monitor the vertical ground reaction forces distribution induced in the foot plantar surface during gait and body center of mass displacements. The acquired measurements are a reliable indication of the accuracy and consistency of the proposed solution in monitoring and mapping the vertical forces active on the foot plantar sole, with a sensitivity up to 11.06 ?? pm / N . The acquired measurements can be used to infer the foot structure and health condition, in addition to anomalies related to spine function and other pathologies (e.g., related to diabetes); also its application in rehabilitation robotics field can dramatically reduce the computational burden of exoskeletons’ control strategy. The proposed technology has the advantages of optical fiber sensing (robustness, noninvasiveness, accuracy, and electromagnetic insensitivity) to surpass all drawbacks verified in traditionally used sensing systems (fragility, instability, and inconsistent feedback).
在技术进步和人口老龄化的时代,对老年公民和患者进行持续、密切的监测变得越来越必要,而不是一种奢侈。本工作为这一领域做出了贡献,提高了老年公民和残疾患者的生活质量,设计并实现了一种非侵入式平台和鞋垫光纤布拉格光栅传感器网络,用于监测步态和身体质心位移过程中足底表面所受垂直地面反作用力分布。所获得的测量结果可靠地表明了所提出的解决方案在监测和绘制足底垂直力方面的准确性和一致性,其灵敏度高达 11.06?? pm / N 。所获得的测量结果可用于推断足部结构和健康状况,以及与脊柱功能和其他病理相关的异常(例如,与糖尿病相关的异常);此外,其在康复机器人领域的应用可以显著降低外骨骼控制策略的计算负担。与传统使用的传感系统(易碎性、不稳定性和不一致的反馈)相比,所提出的技术具有光纤传感(鲁棒性、非侵入性、准确性和抗电磁干扰性)的优势,可以克服所有缺点。