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  1. Book ; Online: Wave Propagation Concepts for Near-Future Telecommunication Systems

    Costanzo, Sandra

    2017  

    Keywords WAP (wireless) technology ; metamaterials, antennas, metasurfaces, numerical method, coherence
    Language English
    Size 1 electronic resource (208 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English
    HBZ-ID HT030645737
    ISBN 9789535148555 ; 9535148559
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Microwave Materials Characterization

    Costanzo, Sandra

    2012  

    Keywords Biomedical engineering
    Size 1 electronic resource (172 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021046388
    ISBN 9789535162643 ; 9535162640
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Software-Defined Doppler Radar Sensor for Human Breathing Detection.

    Costanzo, Sandra

    Sensors (Basel, Switzerland)

    2019  Volume 19, Issue 14

    Abstract: Non-contact wireless sensing approaches have emerged in recent years, in order to enable novel enhanced developments in the framework of healthcare and biomedical scenarios. One of these technologically advanced solutions is given by software-defined ... ...

    Abstract Non-contact wireless sensing approaches have emerged in recent years, in order to enable novel enhanced developments in the framework of healthcare and biomedical scenarios. One of these technologically advanced solutions is given by software-defined radar platforms, a low-cost radar implementation, where all operations are implemented and easily changed via software. In the present paper, a software-defined radar implementation with Doppler elaboration features is presented, to be applied for the non-contact monitoring of human respiration signals. A quadrature receiver I/Q (In-phase/Quadrature) architecture is adopted in order to overcome the critical issues related to the occurrences of null detection points, while the phase-locked loop components included in the software defined radio transceiver are successfully exploited to guarantee the phase correlation between I/Q signal components. The proposed approach leads to a compact, low-cost, and flexible radar solution, whose application abilities may be simply changed via software, with no need for hardware modifications. Experimental results on a human target are discussed so as to demonstrate the feasibility of the proposed approach for vital signs detection.
    MeSH term(s) Equipment Design ; Humans ; Monitoring, Physiologic/instrumentation ; Monitoring, Physiologic/methods ; Nontherapeutic Human Experimentation ; Radar ; Reproducibility of Results ; Respiration ; Respiratory Rate ; Signal Processing, Computer-Assisted ; Software
    Language English
    Publishing date 2019-07-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s19143085
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: COVID-19 Contagion Risk Estimation Model for Indoor Environments.

    Costanzo, Sandra / Flores, Alexandra

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 19

    Abstract: COVID-19 is an infectious disease mainly transmitted through aerosol particles. Physical distancing can significantly reduce airborne transmission at a short range, but it is not a sufficient measure to avoid contagion. In recent months, health ... ...

    Abstract COVID-19 is an infectious disease mainly transmitted through aerosol particles. Physical distancing can significantly reduce airborne transmission at a short range, but it is not a sufficient measure to avoid contagion. In recent months, health authorities have identified indoor spaces as possible sources of infection, mainly due to poor ventilation, making it necessary to take measures to improve indoor air quality. In this work, an accurate model for COVID-19 contagion risk estimation based on the Wells-Riley probabilistic approach for indoor environments is proposed and implemented as an Android mobile App. The implemented algorithm takes into account all relevant parameters, such as environmental conditions, age, kind of activities, and ventilation conditions, influencing the risk of contagion to provide the real-time probability of contagion with respect to the permanence time, the maximum allowed number of people for the specified area, the expected number of COVID-19 cases, and the required number of Air Changes per Hour. Alerts are provided to the user in the case of a high probability of contagion and CO
    MeSH term(s) Air Pollution, Indoor/analysis ; COVID-19/epidemiology ; Carbon Dioxide ; Humans ; Respiratory Aerosols and Droplets ; SARS-CoV-2 ; Ventilation
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2022-10-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22197668
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Compressed Sensing/Sparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar.

    Costanzo, Sandra

    TheScientificWorldJournal

    2016  Volume 2016, Page(s) 3137146

    Abstract: A compressed sensing/sparse-recovery procedure is adopted to obtain enhanced range resolution capability from the processing of data acquired with narrow-band SFCW radars. A mathematical formulation for the proposed approach is reported and validity ... ...

    Abstract A compressed sensing/sparse-recovery procedure is adopted to obtain enhanced range resolution capability from the processing of data acquired with narrow-band SFCW radars. A mathematical formulation for the proposed approach is reported and validity limitations are fully discussed, by demonstrating the ability to identify a great number of targets, up to 20, in the range direction. Both numerical and experimental validations are presented, by assuming also noise conditions. The proposed method can be usefully applied for the accurate detection of parameters with very small variations, such as those involved in the monitoring of soil deformations or biological objects.
    Language English
    Publishing date 2016
    Publishing country United States
    Document type Journal Article
    ISSN 1537-744X
    ISSN (online) 1537-744X
    DOI 10.1155/2016/3137146
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Spectral Methods for Response Enhancement of Microwave Resonant Sensors in Continuous Non-Invasive Blood Glucose Monitoring.

    Buonanno, Giovanni / Brancaccio, Adriana / Costanzo, Sandra / Solimene, Raffaele

    Bioengineering (Basel, Switzerland)

    2022  Volume 9, Issue 4

    Abstract: In this paper, the performance of three recent algorithms for the frequency-response enhancement of microwave resonant sensors are compared. The first one, a single-step algorithm, is based on a couple of direct-inverse Fourier transforms, giving a ... ...

    Abstract In this paper, the performance of three recent algorithms for the frequency-response enhancement of microwave resonant sensors are compared. The first one, a single-step algorithm, is based on a couple of direct-inverse Fourier transforms, giving a densely sampled response as a result. The second algorithm exploits an iterative procedure to progressively restricts the frequency response. The final one is based on the super-resolution MUSIC algorithm. The comparison is carried out through a Monte Carlo analysis. In particular, synthetic signals are firstly exploited to mimic the frequency response of a resonant microwave sensor. Then, experimental data collected from water-glucose solutions are adopted as validation test for potential applications in noninvasive blood-glucose monitoring.
    Language English
    Publishing date 2022-04-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2746191-9
    ISSN 2306-5354
    ISSN 2306-5354
    DOI 10.3390/bioengineering9040156
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Machine Learning Approach to Quadratic Programming-Based Microwave Imaging for Breast Cancer Detection.

    Costanzo, Sandra / Flores, Alexandra / Buonanno, Giovanni

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 11

    Abstract: In this work, a novel technique is proposed that combines the Born iterative method, based on a quadratic programming approach, with convolutional neural networks to solve the ill-framed inverse problem coming from microwave imaging formulation in breast ...

    Abstract In this work, a novel technique is proposed that combines the Born iterative method, based on a quadratic programming approach, with convolutional neural networks to solve the ill-framed inverse problem coming from microwave imaging formulation in breast cancer detection. The aim is to accurately recover the permittivity of breast phantoms, these typically being strong dielectric scatterers, from the measured scattering data. Several tests were carried out, using a circular imaging configuration and breast models, to evaluate the performance of the proposed scheme, showing that the application of convolutional neural networks allows clinicians to considerably reduce the reconstruction time with an accuracy that exceeds 90% in all the performed validations.
    MeSH term(s) Algorithms ; Breast Neoplasms/diagnostic imaging ; Female ; Humans ; Machine Learning ; Microwave Imaging ; Phantoms, Imaging
    Language English
    Publishing date 2022-05-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22114122
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: A Non-Contact Integrated Body-Ambient Temperature Sensors Platform to Contrast COVID-19

    Costanzo, Sandra / Flores, Alexandra

    Electronics

    Abstract: An integrated sensors platform for non-contact temperature monitoring is proposed in this work The adopted solution, based on the combined integration of an infrared thermometer and a capacitive humidity sensor, is able to provide a fast and accurate ... ...

    Abstract An integrated sensors platform for non-contact temperature monitoring is proposed in this work The adopted solution, based on the combined integration of an infrared thermometer and a capacitive humidity sensor, is able to provide a fast and accurate tool for remotely sensing both ambient and body temperature in the framework of pandemic situations, such as COVID-19, thus avoiding any direct contact with people The information relative to the ambient temperature is successfully exploited to derive a correction formula for the accurate extraction of body temperature from the measurement provided by the standard infrared sensor Full details on the design of the proposed platform are provided in the work, by reporting relevant simulation results on the variations of ambient temperature, relative humidity, and body temperature Experimental validations are also discussed to provide a full assessment of the proposed approach
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #843545
    Database COVID19

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  9. Article ; Online: Gel-Like Human Mimicking Phantoms: Realization Procedure, Dielectric Characterization and Experimental Validations on Microwave Wearable Body Sensors.

    Costanzo, Sandra / Cioffi, Vincenzo / Qureshi, Adil Masoud / Borgia, Antonio

    Biosensors

    2021  Volume 11, Issue 4

    Abstract: A simple and low-cost procedure for gel-like time-durable biological phantoms is presented in this work. Easily accessible materials are adopted, which are able to provide a flexible and controllable method to rapidly realize different kind of tissues. ... ...

    Abstract A simple and low-cost procedure for gel-like time-durable biological phantoms is presented in this work. Easily accessible materials are adopted, which are able to provide a flexible and controllable method to rapidly realize different kind of tissues. The proposed technique is applied to fabricate various tissue-mimicking phantoms, namely skin, muscle, blood and fat. Their effectiveness is first tested by performing dielectric characterization on a wide frequency range, from 500 MHz up to 5 GHz, and validating the measured dielectric parameters (dielectric constant and conductivity) by comparison with reference models in the literature. Then, a multi-layer phantom simulating the human arm is realized, and a wearable body sensor is adopted to prove the perfect agreement of the biometric response achieved in the presence of the fabricated phantom and that provided by a real human arm.
    MeSH term(s) Biomimetics ; Biosensing Techniques ; Electric Conductivity ; Humans ; Microwaves ; Phantoms, Imaging ; Skin ; Water ; Wearable Electronic Devices
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2021-04-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662125-3
    ISSN 2079-6374 ; 2079-6374
    ISSN (online) 2079-6374
    ISSN 2079-6374
    DOI 10.3390/bios11040111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Experimental Characterization of Spurious Signals in Magnetic Nanoparticles Enhanced Microwave Imaging of Cancer.

    Bucci, Ovidio M / Bellizzi, Gennaro / Costanzo, Sandra / Crocco, Lorenzo / Di Massa, Giuseppe / Scapaticci, Rosa

    Sensors (Basel, Switzerland)

    2021  Volume 21, Issue 8

    Abstract: Magnetic nanoparticles enhanced microwave imaging relies on the capability of modulating the response of such nanocomponents at microwaves by means of a (low frequency) polarizing magnetic field. In medical imaging, this capability allows for the ... ...

    Abstract Magnetic nanoparticles enhanced microwave imaging relies on the capability of modulating the response of such nanocomponents at microwaves by means of a (low frequency) polarizing magnetic field. In medical imaging, this capability allows for the detection and imaging of tumors loaded with nanoparticles. As the useful signal is the one which arises from nanoparticles, it is crucial to remove sources of undesired disturbance to enable the diagnosis of early-stage tumors. In particular, spurious signals arise from instrumental drift, as well as from the unavoidable interaction between the polarizing field and the imaging system. In this paper, we experimentally assess and characterize such spurious effects in order to set the optimal working conditions for magnetic nanoparticles enhanced microwave imaging of cancer. To this end, simple test devices, which include all components typically comprised in a microwave imaging system, have been realized and exploited. The experiment's results allow us to derive design formulas and guidelines useful for limiting the impact of unwanted magnetic effects, as well as that relative to the instrumental drift on the signal generated by the magnetic nanoparticles-loaded tumor.
    MeSH term(s) Diagnostic Imaging ; Humans ; Magnetite Nanoparticles ; Microwave Imaging ; Microwaves ; Nanoparticles ; Neoplasms/diagnostic imaging
    Chemical Substances Magnetite Nanoparticles
    Language English
    Publishing date 2021-04-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s21082820
    Database MEDical Literature Analysis and Retrieval System OnLINE

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