Non-Invasive Fiber-Optic Biomedical Sensor for Basic Vital Sign Monitoring

Jan Nedoma, Marcel Fajkus, Radek Martinek, Vladimir Vasinek

Non-Invasive Fiber-Optic Biomedical Sensor for Basic Vital Sign Monitoring

Číslo: 2/2017
Periodikum: Advances in Electrical and Electronic Engineering
DOI: 10.15598/aeee.v15i2.2131

Klíčová slova: Basic vital sign monitoring; biomedical instrumentation; body temperature; heart rate; fiber Bragg gratings; fiber-optic sensor; noninvasive; polydimethylsiloxane; respiration rate, Základní monitorování vitálních funkcí; Biomedicínské přístroje; tělesná teplota; Tepová frekvence; Bragové mřížky z vláken; Optický senzor; neinvazivní; Polydimethylsiloxan; Míra respirace.

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Anotace: This article focuses on the functionality verification of a novel non-invasive fibre-optic sensor monitoring basic vital signs such as Respiratory Rate (RR), Heart Rate (HR) and Body Temperature (BT). The integration of three sensors in one unit is a unique solution patented by our research team. The integrated sensor is based on two Fiber Bragg Gratings (FBGs) encapsulated inside an inert polymer (non-reactive to human skin) called PolyDiMethylSiloxane (PDMS). The PDMS is beginning to find widespread applications in the biomedical field due to its desirable properties, especially its immunity to ElectroMagnetic Interference (EMI). The integrated sensor's functionality was verified by carrying out a series of laboratory experiments in 10 volunteer subjects after giving them a written informed consent. The Bland-Altman statistical analysis produced satisfactory accuracy for the respiratory and heart rate measurements and their respective reference signals in all test subjects. A total relative error of 0.31% was determined for body temperature measurements. The main contribution of this article is a proof-of-concept of a novel noninvasive fiber-optic sensor which could be used for basic vital sign monitoring. This sensor offers a potential to enhance and improve the comfort level of patients in hospitals and clinics and can even be considered for use in Magnetic Resonance Imaging (MRI) environments.