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Validation of a Novel Fiber-Optic Sensor System for Monitoring Cardiorespiratory Activities During MRI Examinations

机译:新型光纤传感器系统在MRI检查期间监测心肺活动的验证

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In this article we report on the validation of a novel fiber-optic sensor system suitable for simultaneous cardiac and respiration activity monitoring during Magnetic Resonance Imaging (MRI) examinations. This MRI-compatible Heart Rate (HR) and Respiration Rate (RR) measurement system is based on the Fiber-optic Bragg Grating (FBG) sensors. Using our system, we performed real measurements on 4 test subjects (2~males and 2 females) after obtaining their written informed consents. The sensor was encapsulated inside a Polydimethylsiloxane polymer (PDMS), as this material does not react with the human skin and is unresponsive to Electromagnetic Interference (EMI). The advantage of our design is that the sensor could be embedded inside a pad which is placed underneath a patient's body while lying in the supine position. The main feature of our system design is to maximize patient`s safety and comfort while assisting the clinical staff in predicting and detecting impending patient's hyperventilation and panic attacks. To further validate the efficacy of our system, we used the Bland-Altman statistical analysis test on data acquired from all test subjects to determine the accuracy of cardiac and respiratory rate measurements. Our satisfactory results provide promising means to leverage the advancement of research in the field of noninvasive vital sign monitoring in MRI environments. In addition, our method and system enable the clinical staff to predict and detect patient's hyperventilation and panic attacks while undergoing an MRI examination.
机译:在本文中,我们报告了一种适用于在磁共振成像(MRI)检查期间同时监视心脏和呼吸活动的新型光纤传感器系统的验证。此MRI兼容的心率(HR)和呼吸率(RR)测量系统基于光纤布拉格光栅(FBG)传感器。使用我们的系统,在获得书面知情同意后,我们对4位测试对象(2位男性和2位女性)进行了实际测量。该传感器被封装在聚二甲基硅氧烷聚合物(PDMS)内,因为该材料不会与人体皮肤发生反应,并且对电磁干扰(EMI)无响应。我们设计的优势在于,传感器可以嵌入仰卧状态下放置在患者身体下方的垫子内。我们系统设计的主要特点是在帮助临床人员预测和检测即将发生的患者过度换气和恐慌发作的同时,最大限度地提高患者的安全性和舒适度。为了进一步验证我们系统的有效性,我们对从所有测试对象获得的数据进行了Bland-Altman统计分析测试,以确定心脏和呼吸频率测量的准确性。我们令人满意的结果为利用MRI环境中非侵入性生命体征监测领域的研究进展提供了有希望的手段。此外,我们的方法和系统使临床人员能够在进行MRI检查的同时预测和检测患者的过度换气和恐慌发作。

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