References of "Tedgue Beltrao, Gabriel 50037138"
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See detailContactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit
Tedgue Beltrao, Gabriel UL; Stutz, Regine; Hornberger, Franziska et al

in Scientific Reports (2022), 12(1), 1--15

Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the immaturity of their organs and immune system, premature infants require continuous monitoring of their vital ... [more ▼]

Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the immaturity of their organs and immune system, premature infants require continuous monitoring of their vital parameters and sensors need to be directly attached to their fragile skin. Besides mobility restrictions and stress, these sensors often cause skin irritation and may lead to pressure necrosis. In this work, we show that a contactless radar-based approach is viable for breathing monitoring in the Neonatal intensive care unit (NICU). For the first time, different scenarios common to the NICU daily routine are investigated, and the challenges of monitoring in a real clinical setup are addressed through different contributions in the signal processing framework. Rather than just discarding measurements under strong interference, we present a novel random body movement mitigation technique based on the time-frequency decomposition of the recovered signal. In addition, we propose a simple and accurate frequency estimator which explores the harmonic structure of the breathing signal. As a result, the proposed radar-based solution is able to provide reliable breathing frequency estimation, which is close to the reference cabled device values most of the time. Our findings shed light on the strengths and limitations of this technology and lay the foundation for future studies toward a completely contactless solution for vital signs monitoring. [less ▲]

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See detailNonlinear Least Squares Estimation for Breathing Monitoring Using FMCW Radars
Tedgue Beltrao, Gabriel UL; Alaeekerahroodi, Mohammad UL; Schroeder, Udo et al

in 2021 18th Eur. Radar Conf. (2022)

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See detailStatistical Performance Analysis of Radar-Based Vital-Sign Processing Techniques
Tedgue Beltrao, Gabriel UL; Alaeekerahroodi, Mohammad UL; Schroeder, Udo et al

Scientific Conference (2022)

Radar-based vital-sign monitoring provides several advantages over standard methodologies. Despite the huge amount of recent work, the preference for particular technique(s) is in debt, due to lack of a ... [more ▼]

Radar-based vital-sign monitoring provides several advantages over standard methodologies. Despite the huge amount of recent work, the preference for particular technique(s) is in debt, due to lack of a formal comparison between them. In addition, collection of real data is a time-consuming process and therefore most of the proposed solutions are only evaluated under very limited scenarios. In this paper we present a simulation framework and a selection of results which allow easy performance comparison between radar-based vital-sign processing techniques. The proposed simulation tool scans over multiple breathing and heartbeat frequencies, and the combined effects along the entire signal processing chain can be analyzed, for different combinations of scenarios and techniques. The results have shown specific limitations for each method, thus indicating a need for proper selection based on operating conditions. In addition, while breathing estimation performance is only limited by noise, heartbeat estimation is limited by the presence of breathing harmonics and, despite promising results at specific breathing/heartbeat frequencies, the presented methods fail to fully mitigate this type of interference in all scenarios. [less ▲]

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See detailAdaptive Nonlinear Least Squares Framework for Contactless Vital Sign Monitoring
Tedgue Beltrao, Gabriel UL; Alves Martins, Wallace UL; Mysore Rama Rao, Bhavani Shankar UL et al

in IEEE Transactions on Microwave Theory and Techniques (2022)

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See detailSubpulse Processing for Unambiguous Doppler Estimation in Pulse-Doppler Noise Radars
Tedgue Beltrao, Gabriel UL; Alaeekerahroodi, Mohammad UL; Mysore Rama Rao, Bhavani Shankar UL et al

in IEEE Transactions on Aerospace and Electronic Systems (2021)

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See detailOn the Analysis of PM/FM Noise Radar Waveforms Considering Modulating Signals with Varied Stochastic Properties
Pralon, Leandro; Tedgue Beltrao, Gabriel UL; Barreto, Alisson et al

in Sensors (2021)

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See detailJoint Waveform/Receiver Design for Vital-Sign Detection in Signal-Dependent Interference
Tedgue Beltrao, Gabriel UL; Alaeekerahroodi, Mohammad UL; Schroeder, Udo et al

in Proceedings of the 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 2020 (2020)

This paper presents the joint design of discrete slow-time radar waveform and receive filter, with the aim of enhancing the Signal to Interference and Noise Ratio (SINR) in phase coded radar systems for ... [more ▼]

This paper presents the joint design of discrete slow-time radar waveform and receive filter, with the aim of enhancing the Signal to Interference and Noise Ratio (SINR) in phase coded radar systems for vital-sign monitoring. Towards this, we consider maximizing the SINR at the input of the vital-sign estimation block, when transmitting hardware efficient Mary Phase Shift Keying (MPSK) sequences. This multi-variable and non-convex optimization problem is efficiently solved based on a Minimum Variance Distortionless Response (MVDR) filter, with the Coordinate Descent (CD) approach for the sequence optimization, and the obtained results have shown attractive interference suppression capabilities, even for the simple binary case. [less ▲]

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See detailSidelobe Performance Analysis of Noise Waveforms Considering the Doppler Mismatch
Tedgue Beltrao, Gabriel UL; Pralon, Leandro; Alaeekerahroodi, Mohammad UL et al

in Proceedings of the 21st International Radar Symposium (IRS), Warsaw, Poland, 2020 (2020)

Waveform design and optimization algorithms generally assume a zero-Doppler ideal case to reach an optimum or satisfactory solution in terms of the matched filter output. Therefore, its performance is ... [more ▼]

Waveform design and optimization algorithms generally assume a zero-Doppler ideal case to reach an optimum or satisfactory solution in terms of the matched filter output. Therefore, its performance is usually characterized only in terms of the resultant waveforms autocorrelation function, neglecting the practical situation in which the received signal is modulated by the target’s Doppler shift. Within this context, this work investigates the Doppler mismatch effects in the Integrated Sidelobe Level (ISL) performance of previously designed/optimized noise waveforms. The analysis has shown that, despite much better results for steady targets, the increasing Doppler mismatch reduces the ISL performance of optimized waveforms, until similar levels achieved when no optimization is performed. To address that, a subpulse Doppler processing approach is also considered, and the results have shown that, besides increasing the Doppler tolerance, it has also increased the optimized waveform robustness to the Doppler mismatch, reducing the resultant ISL loss and thus extending its applicability. [less ▲]

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See detailFPGA Design and Implementation of a Real-time FM/PM Pseudo Random Waveform Generation for Noise Radars
Alisson, Barreto; Leandro, Pralon; Bruno, Pompeo et al

in Proceedings of the 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 2020 (2020)

Noise Radar technology is the general term used to describe radar systems that employ realizations of a given stochastic process as transmit waveforms. With the advances made in hardware as well as the ... [more ▼]

Noise Radar technology is the general term used to describe radar systems that employ realizations of a given stochastic process as transmit waveforms. With the advances made in hardware as well as the rise of the software defined noise radar concept, waveform design emerges as an important research area related to such systems. Several optimization algorithms have been proposed to generate pseudo-random waveforms with specific desired features, specially with respect to sidelobes. Nevertheless, not only modifying random waveforms may compromise their LPI performance, but also the implementation of such algorithms in real time applications may not be feasible. Within this context, this paper analyzes varied design architectures for FM/PM pseudo-noise waveform generation, considering a real-time application. The proposed architectures are verified in a co-simulation environment using the Xilinx System Generator tool and implemented on reconfigurable hardware, i.e., a Xilinx Field Programmable Gate Array (FPGA) is taken into consideration. Timing, resource consumption, and the trade-offs related to hardware area and performance are then investigated. [less ▲]

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