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基于柔性光纤布拉格光栅传感器的智能纺织品在射箭运动中的心肺监测。

Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors.

机构信息

Unit of Measurement and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy.

Neuro-Robotic Touch Laboratory, Biorobotics Institute, Sant'Anna School of Advanced Studies, 56025 Pisa, Italy.

出版信息

Sensors (Basel). 2019 Aug 17;19(16):3581. doi: 10.3390/s19163581.

DOI:10.3390/s19163581
PMID:31426480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6721071/
Abstract

In precision sports, the control of breathing and heart rate is crucial to help the body to remain stable in the shooting position. To improve stability, archers try to adopt similar breathing patterns and to have a low heartbeat during each shot. We proposed an easy-to-use and unobtrusive smart textile (ST) which is able to detect chest wall excursions due to breathing and heart beating. The sensing part is based on two FBGs housed into a soft polymer matrix to optimize the adherence to the chest wall and the system robustness. The ST was assessed on volunteers to figure out its performance in the estimation of respiratory frequency (f) and heart rate (HR). Then, the system was tested on two archers during four shooting sessions. This is the first study to monitor cardio-respiratory activity on archers during shooting. The good performance of the ST is supported by the low mean absolute percentage error for f and HR estimation (≤1.97% and ≤5.74%, respectively), calculated with respect to reference signals (flow sensor for f, photopletismography sensor for HR). Moreover, results showed the capability of the ST to estimate f and HR during different phases of shooting action. The promising results motivate future investigations to speculate about the influence of f and HR on archers' performance.

摘要

在精准运动中，控制呼吸和心率对于帮助身体在射击位置保持稳定至关重要。为了提高稳定性，射箭运动员尝试采用类似的呼吸模式，并在每次射击时保持低心率。我们提出了一种易于使用且不引人注目的智能纺织品 (ST)，它能够检测到由于呼吸和心跳引起的胸腔壁运动。传感部分基于两个封装在柔软聚合物基质中的 FBG，以优化与胸腔壁的贴合度和系统鲁棒性。该 ST 在志愿者身上进行了评估，以确定其在估计呼吸频率 (f) 和心率 (HR) 方面的性能。然后，该系统在两名射箭运动员的四次射击过程中进行了测试。这是首次在射箭运动员射击过程中监测心肺活动的研究。ST 的良好性能得到了支持，其对 f 和 HR 的估计的平均绝对百分比误差较低（分别为≤1.97%和≤5.74%），与参考信号（用于 f 的流量传感器，用于 HR 的光电容积描记法传感器）相比。此外，结果表明 ST 能够在射击动作的不同阶段估计 f 和 HR。有前途的结果促使未来的研究推测 f 和 HR 对射箭运动员表现的影响。

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