Fiber optic interferometer as a security element

Nedoma, Jan; Zboril, Ondrej; Fajkus, Marcel; Čubík, Jakub; Zavodny, Petr; Novák, Martin; Bednarek, Lukas; Martínek, Radek; Vašinek, Vladimír

doi:10.1117/12.2231089

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Article [29] brings results of an acoustic fiber-optic sensor for monitoring of the railway infrastructure from a long distance on the basis of an interferometric connection. The article [30] focused on the use of a fiber-optic interferometer for the perimetric applications. Authors proposed a sensor based on the Mach-Zehnder interferometer to detect vibration response caused by humans moving around the sensor.…”

Section: Introductionmentioning

confidence: 99%

Fiber-Optic Interferometric Sensor for Dynamic Impact Measurement of Transport Trucks

Stolárik

Nedoma

2019

JERA

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Ground vibrations are commonly observed by using a standard seismic station equipped with speed seismometers or acceleration seismometers. The seismometers include three mechanical vibrating systems (sensors) and the primary output is the wave pattern of recording velocity or acceleration of the material point oscillation. An alternative new method how it is possible to realize seismic measurements is using of the fiber-optic interferometric sensors. These interferometers are well-known for their ability to make high-precision measurements of optical path difference or changes that may be induced by a refractive index change in the interferometer or a physical displacement. The paper presents a comparison of the results of the standard seismic measurement by using seismic station and of the fiber-optic interferometric sensor. As a source of dynamic load, truck transport was chosen. When trucks passing through unevenness on the road (due to the road damage, the transition area of the bridge etc.), it generates vibrations that are transmitted to the subsoil and can adversely affect the surrounding building objects. Data comparison of the subsoil dynamic response obtained during both approaches of measurements is present in the amplitude and primary in the frequency domain.

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Section: Introductionmentioning

confidence: 99%

Fiber-Optic Interferometric Sensor for Dynamic Impact Measurement of Transport Trucks

Stolárik

Nedoma

2019

JERA

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“…Fiber-optic measurement sensors are resistant to technical artifacts such as electromagnetic interferences; therefore, they can be used in situations where it is impossible to deploy conventional EFM methods, such as during Magnetic Resonance Imaging (MRI) examination [ 20 , 21 ] or in wet environments. The literature shows that this sensor is demonstrably more sensitive [ 22 , 23 , 24 , 25 , 26 ] than the currently used electret microphones [ 27 ] (acoustic sensor [ 28 , 29 ]). These properties make fiber-optic sensors very convenient and suitable choices for the measurement of desirable (fPCG) signals.…”

Section: Introductionmentioning

confidence: 99%

A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring

Martínek

Nedoma

Fajkus

et al. 2017

Sensors

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This paper focuses on the design, realization, and verification of a novel phonocardiographic- based fiber-optic sensor and adaptive signal processing system for noninvasive continuous fetal heart rate (fHR) monitoring. Our proposed system utilizes two Mach-Zehnder interferometeric sensors. Based on the analysis of real measurement data, we developed a simplified dynamic model for the generation and distribution of heart sounds throughout the human body. Building on this signal model, we then designed, implemented, and verified our adaptive signal processing system by implementing two stochastic gradient-based algorithms: the Least Mean Square Algorithm (LMS), and the Normalized Least Mean Square (NLMS) Algorithm. With this system we were able to extract the fHR information from high quality fetal phonocardiograms (fPCGs), filtered from abdominal maternal phonocardiograms (mPCGs) by performing fPCG signal peak detection. Common signal processing methods such as linear filtering, signal subtraction, and others could not be used for this purpose as fPCG and mPCG signals share overlapping frequency spectra. The performance of the adaptive system was evaluated by using both qualitative (gynecological studies) and quantitative measures such as: Signal-to-Noise Ratio—SNR, Root Mean Square Error—RMSE, Sensitivity—S+, and Positive Predictive Value—PPV.

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Impact of fixing materials on the frequency range and sensitivity of the fiber-optic interferometer

et al. 2017

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Fiber optic interferometer as a security element

Cited by 3 publications

References 9 publications

Fiber-Optic Interferometric Sensor for Dynamic Impact Measurement of Transport Trucks

Fiber-Optic Interferometric Sensor for Dynamic Impact Measurement of Transport Trucks

A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring

Impact of fixing materials on the frequency range and sensitivity of the fiber-optic interferometer

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