Roudjane Mourad, Bellemare-Rousseau Simon, Khalil Mazen, Gorgutsa Stepan, Miled Amine, Messaddeq Younes
Center for Optics, Photonics and Lasers (COPL), Department of Physics, Université Laval, Québec, QC G1V 0A6, Canada.
LABioTRON Bioengineering Research Laboratory, Department of Electrical and Computer Engineering, Research Centre for Advanced Materials (CERMA), Université Laval, Québec, QC G1V 0A6, Canada.
Sensors (Basel). 2018 Mar 25;18(4):973. doi: 10.3390/s18040973.
In this paper, we present a new mobile wireless communication platform for real-time monitoring of an individual's breathing rate. The platform takes the form of a wearable stretching T-shirt featuring a sensor and a detection base station. The sensor is formed by a spiral-shaped antenna made from a multi-material fiber connected to a compact transmitter. Based on the resonance frequency of the antenna at approximately 2.4 GHz, the breathing sensor relies on its Bluetooth transmitter. The contactless and non-invasive sensor is designed without compromising the user's comfort. The sensing mechanism of the system is based on the detection of the signal amplitude transmitted wirelessly by the sensor, which is found to be sensitive to strain. We demonstrate the capability of the platform to detect the breathing rates of four male volunteers who are not in movement. The breathing pattern is obtained through the received signal strength indicator (RSSI) which is filtered and analyzed with home-made algorithms in the portable system. Numerical simulations of human breath are performed to support the experimental detection, and both results are in a good agreement. Slow, fast, regular, irregular, and shallow breathing types are successfully recorded within a frequency interval of 0.16-1.2 Hz, leading to a breathing rate varying from 10 to 72 breaths per minute.
在本文中,我们提出了一种用于实时监测个人呼吸频率的新型移动无线通信平台。该平台采用可穿戴拉伸T恤的形式,配有一个传感器和一个检测基站。传感器由一根由多材料纤维制成的螺旋形天线构成,该天线连接到一个紧凑型发射器。基于天线在约2.4 GHz的共振频率,呼吸传感器依靠其蓝牙发射器工作。这种非接触式、无创的传感器在设计时并未影响用户的舒适度。该系统的传感机制基于对传感器无线传输信号幅度的检测,发现该信号幅度对应变敏感。我们展示了该平台检测四名未运动男性志愿者呼吸频率的能力。呼吸模式通过接收信号强度指示符(RSSI)获得,该指示符在便携式系统中使用自制算法进行滤波和分析。进行了人体呼吸的数值模拟以支持实验检测,两者结果吻合良好。在0.16 - 1.2 Hz的频率区间内成功记录了缓慢、快速、规律、不规律和浅呼吸类型,呼吸频率范围为每分钟10至72次呼吸。