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

Jan Nedoma, Marcel Fajkus, Martin Novak, Nela Strbikova, Vladimir Vasinek, Homer Nazeran, Jan Vanus, Frantisek Perecar, Radek Martinek

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

Číslo: 3/2017
Periodikum: Advances in Electrical and Electronic Engineering
DOI: 10.15598/aeee.v15i3.2194

Klíčová slova: Electromagnetic interference; fiber Bragg grating; fiber-optic sensor; heart rate, magnetic resonance imaging environment; noninvasive; polydimethylsiloxane; respiration rate; vital sign monitoring, Elektromagnetické rušení; vlákno Braggovy mřížky; optický senzor; srdeční frekvence, magnetické rezonanční zobrazovací prostředí; neinvazivní; polydimethylsiloxan; míra respirace; monitorování vitálních funkcí

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Anotace: 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.