Measurements Performance of a Bioradar for Human Respiration Monitoring

Gennarelli, Gianluca; Soldovieri, Francesco; Marciano, Luigi; Cerasuolo, Giovanni; Petrella, Orsola

doi:10.1016/j.proeng.2016.11.411

Cited by 7 publications

(10 citation statements)

References 7 publications

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“…The use of radiofrequencies has also been proposed to monitor cardiac and respiratory activities. Data have been provided using radar based schemes (Droitcour et al, 2009a,b; Salm and Molisch, 2011; Adib et al, 2015; Gennarelli et al, 2016; Nguyen et al, 2016) or wifi based schemes (Abdelnasser et al, 2015; Liu et al, 2015; Yang et al, 2016), but radiofrequency based signals are easily disrupted by environmental interferences. Finally, video-based respiratory monitoring has also been the object of several studies (Janssen et al, 2016; Wijenayake and Park, 2017), as well as time-of-flight sensors (Schaller et al, 2008; Sharp et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Physiological Validation of an Airborne Ultrasound Based Surface Motion Camera for a Contactless Characterization of Breathing Pattern in Humans

et al. 2019

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Characterizing the breathing pattern in naturally breathing humans brings important information on respiratory mechanics, respiratory muscle, and breathing control. However, measuring breathing modifies breathing (observer effect) through the effects of instrumentation and awareness: measuring human breathing under true ecological conditions is currently impossible. This study tested the hypothesis that non-contact vibrometry using airborne ultrasound (SONAR) could measure breathing movements in a contactless and invisible manner. Thus, first, we evaluated the validity of SONAR measurements by testing their interchangeability with pneumotachograph (PNT) measurements obtained at the same time. We also aimed at evaluating the observer effect by comparing breathing variability obtained by SONAR versus SONAR-PNT measurements. Twenty-three healthy subjects (12 men and 11 women; mean age 33 years – range: 20–54) were studied during resting breathing while sitting on a chair. Breathing activity was described in terms of ventilatory flow measured using a PNT and, either simultaneously or sequentially, with a SONAR device measuring the velocity of the surface motion of the chest wall. SONAR was focused either anteriorly on the xiphoid process or posteriorly on the lower part of the costal margin. Discrete ventilatory temporal and volume variables and their coefficients of variability were calculated from the flow signal (PNT) and the velocity signal (SONAR) and tested for interchangeability (Passing-Bablok regression). Tidal volume (V T) and displacement were linearly related. Breathing frequency (B F), total cycle time (T T ), inspiratory time (T I ), and expiratory time (T E ) met interchangeability criteria. Their coefficients of variation were not statistically significantly different with PNT and SONAR-only. This was true for both the anterior and the posterior SONAR measurements. Non-contact vibrometry using airborne ultrasound is a valid tool for measuring resting breathing pattern.

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Section: Discussionmentioning

confidence: 99%

Physiological Validation of an Airborne Ultrasound Based Surface Motion Camera for a Contactless Characterization of Breathing Pattern in Humans

et al. 2019

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“…In another study, horn antenna was used with dimensions 284x184x252 mm and is shown in Fig. 5, the gain of antenna is 10dB [8]. The antenna is bulky in size.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Novel One Port SIW based Leaky Wave Antenna for Respiration Monitoring Applications

Sharma¹,

Singh²

2021

Preprint

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Proper and real-time monitoring of the respiratory activity of a patient is very important because failure of respiratory activity is difficult to predict in advance and this can become life critical in just few minutes. The conventional body mounted sensors can also infect sensor as the virus can stay on surface which limits the reuse of sensors for many days. In this paper, different methods which are used for monitoring respiratory activity have been studied. Electromagnetic waves based method is accurate and feasible. In this paper, the work has been carried out taking SIW and Leaky Wave Antenna. Modeling of SIW Leaky wave Antenna is done by making C shaped Slots. A range of frequency is applied as input ranges from 7 GHz to 11 GHz to analyse parameters like 2D far field pattern, VSWR, s-parameters and radiation efficiency of the proposed antenna. The results shows antenna is directional which can be focused on bed of patient. Antenna has directional pattern of 9.52 dB and 3dB angular width 37.5° and radiation efficiency of 96%. Proposed Antenna is compared with Horn, Helical, Patch and Yagi Uda Antenna previously used for respiration monitoring in terms of size, gain and HPBW.

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“…The chest wall displacement of a person is detected first. The respiratory and heartbeat rate can be determined with this information [18][19][20]. The displacement is calculated using the delay between the signals sent from the transmitter and received from the target.…”

Section: Received Signalmentioning

confidence: 99%

Wavelet Based Denoising of the Simulated Chest Wall Motion Detected by SFCW Radar

Acar

Seflek

Yaldiz

2019

AEM

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Low power and compact radars have emerged with the development of electronic technology. This has enabled the use of radars in indoor environments and the realization of many applications. The detection, tracking and classification of human movements by radar are among the remarkable applications. Contactless detection of human vital signs improves the quality of life of patients being kept under observation and facilitates the work of experts. In this study, it was simulated that the movement of the chest wall was modeled and detected by the SFCW radar. Gaussian, Rician and uniformly distributed random noise types were added to the modeled chest motion at different levels. The noisy signal obtained at the receiver is denoised with different mother wavelet functions and the performances of these functions are presented comparatively.

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Measurements Performance of a Bioradar for Human Respiration Monitoring

Cited by 7 publications

References 7 publications

Physiological Validation of an Airborne Ultrasound Based Surface Motion Camera for a Contactless Characterization of Breathing Pattern in Humans

Physiological Validation of an Airborne Ultrasound Based Surface Motion Camera for a Contactless Characterization of Breathing Pattern in Humans

Design of Novel One Port SIW based Leaky Wave Antenna for Respiration Monitoring Applications

Wavelet Based Denoising of the Simulated Chest Wall Motion Detected by SFCW Radar

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