Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629031
L. Bragagnolo, F. Ardizzon, N. Laurenti, P. Casari, R. Diamant, S. Tomasin
We consider the problem of discriminating a legitimate transmitter from an impersonating attacker in an underwater acoustic network under a physical layer security framework. In particular, we utilize features of the underwater acoustic channel such as the number of taps, the delay spread, and the received power. In the absence of a reliable statistical model of the underwater channel, we turn to a machine learning technique to extract the feature statistics and utilize them to distinguish between legitimate and fake transmissions. Numerical results show how, using only four channel features as input of either a neural network or an autoencoder, we achieve a good trade off between false alarm and detection rates. Moreover, cooperative techniques fusing soft decision statistics from multiple trusted nodes further outperform the discrimination capability of each separate node. Data from a sea trial carried out in Israeli eastern Mediterranean waters demonstrate the applicability of our approach.
{"title":"Authentication of Underwater Acoustic Transmissions via Machine Learning Techniques","authors":"L. Bragagnolo, F. Ardizzon, N. Laurenti, P. Casari, R. Diamant, S. Tomasin","doi":"10.1109/comcas52219.2021.9629031","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629031","url":null,"abstract":"We consider the problem of discriminating a legitimate transmitter from an impersonating attacker in an underwater acoustic network under a physical layer security framework. In particular, we utilize features of the underwater acoustic channel such as the number of taps, the delay spread, and the received power. In the absence of a reliable statistical model of the underwater channel, we turn to a machine learning technique to extract the feature statistics and utilize them to distinguish between legitimate and fake transmissions. Numerical results show how, using only four channel features as input of either a neural network or an autoencoder, we achieve a good trade off between false alarm and detection rates. Moreover, cooperative techniques fusing soft decision statistics from multiple trusted nodes further outperform the discrimination capability of each separate node. Data from a sea trial carried out in Israeli eastern Mediterranean waters demonstrate the applicability of our approach.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115433437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629054
E. Levine, H. Matzner
Broadband hybrid 180 degrees and balun based on a parallel-strips transmission line are proposed. Two types of hybrids are presented: the first one is matched for VSWR = 2 from 0 to 11.5 GHz with amplitude error less than 0.06 dB and phase error lower than 0.5 degrees, but with low value of output ports isolation, and the second is matched for VSWR = 2 between 0 – 6 GHz with output amplitude error less thant 0.6 dB and phase error between 0 to 2 degrees and improved output ports isolation. The balun is based on the same structure, and is matched for VSWR = 1.4 between 0 – 11.5 GHz.
{"title":"Broadband 180 degrees Hybrids and Balun Based on a Parallel-Strips","authors":"E. Levine, H. Matzner","doi":"10.1109/comcas52219.2021.9629054","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629054","url":null,"abstract":"Broadband hybrid 180 degrees and balun based on a parallel-strips transmission line are proposed. Two types of hybrids are presented: the first one is matched for VSWR = 2 from 0 to 11.5 GHz with amplitude error less than 0.06 dB and phase error lower than 0.5 degrees, but with low value of output ports isolation, and the second is matched for VSWR = 2 between 0 – 6 GHz with output amplitude error less thant 0.6 dB and phase error between 0 to 2 degrees and improved output ports isolation. The balun is based on the same structure, and is matched for VSWR = 1.4 between 0 – 11.5 GHz.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126652894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629106
S. Jameson, N. Buadana, Z. Eliatim, I. Sarousi, A. Wolfman, O. Shaham
This paper proposes an enhanced differential Cascode amplifier topology for mm-wave applications requiring wide-band amplification, flatness and compact integration area. It is here shown how to combine positive and negative feedbacks to improve drastically the stable gain of a Cascode amplifier. In addition with the use of compact 4th order transformers, a 2-stages amplifier with up to 11 dB gain per stage over 40 % fractional bandwidth and above fmax /2 is demonstrated while demonstrating as well one of the smallest core area (0.08 mm2). This topology presents currently a record small signal gain per stage at this technology node (fT/fmax of 87/90 GHz). The presented amplifier topology can be used repetitively and reliably to create wide-band amplifiers with state-of-the-art gain, flatness and return loss over small area. The circuit was realized using Tower's 130 nm CMOS.
{"title":"A Q-band compact amplifier with +22 dB gain, ± 0.5 dB flatness over 40% Fractional Bandwidth in Tower 130 nm CMOS","authors":"S. Jameson, N. Buadana, Z. Eliatim, I. Sarousi, A. Wolfman, O. Shaham","doi":"10.1109/comcas52219.2021.9629106","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629106","url":null,"abstract":"This paper proposes an enhanced differential Cascode amplifier topology for mm-wave applications requiring wide-band amplification, flatness and compact integration area. It is here shown how to combine positive and negative feedbacks to improve drastically the stable gain of a Cascode amplifier. In addition with the use of compact 4th order transformers, a 2-stages amplifier with up to 11 dB gain per stage over 40 % fractional bandwidth and above fmax /2 is demonstrated while demonstrating as well one of the smallest core area (0.08 mm2). This topology presents currently a record small signal gain per stage at this technology node (fT/fmax of 87/90 GHz). The presented amplifier topology can be used repetitively and reliably to create wide-band amplifiers with state-of-the-art gain, flatness and return loss over small area. The circuit was realized using Tower's 130 nm CMOS.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629095
E. Chernokozhin, Iris Roger-Eitan, A. Gleizer, A. Boag
Theoretical model of acoustic scattering by submerged thin elastic air-filled spherical shells is compared with the results of direct measurements in an underwater test facility. Elastic resonances arising in elastic shells significantly affect the scattering, as demonstrated both theoretically and experimentally. Measurements were carried out in two frequency ranges. Two kinds of resonances—extensional and bending—were expected. In the low-frequency range, a predicted sharp drop in back scattering is observed, which corresponds to an extensional resonance mode. In the high frequency region, an expected wide resonance zone with enhanced scattering was found, although differing from the theoretically predicted distribution of resonances, which may be attributed to slight imperfection of the shell used in the experiment.
{"title":"Resonant Acoustic Scattering by Spherical Air-Filled Elastic Shells Submerged in a Fluid: Comparison of Theory and Experiment","authors":"E. Chernokozhin, Iris Roger-Eitan, A. Gleizer, A. Boag","doi":"10.1109/comcas52219.2021.9629095","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629095","url":null,"abstract":"Theoretical model of acoustic scattering by submerged thin elastic air-filled spherical shells is compared with the results of direct measurements in an underwater test facility. Elastic resonances arising in elastic shells significantly affect the scattering, as demonstrated both theoretically and experimentally. Measurements were carried out in two frequency ranges. Two kinds of resonances—extensional and bending—were expected. In the low-frequency range, a predicted sharp drop in back scattering is observed, which corresponds to an extensional resonance mode. In the high frequency region, an expected wide resonance zone with enhanced scattering was found, although differing from the theoretically predicted distribution of resonances, which may be attributed to slight imperfection of the shell used in the experiment.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122650900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9628995
Tomer Fireaizen, D. Ben-David, Shaked Hadad, G. Metzer, Nir Kurland, Sima Etkind, P. Lifshits, Y. Moshe, I. Cohen
Intelligent Reflective Surface (IRS) is a promising technology for improving the data transmission rate in hard direct channel conditions. In this paper, we describe our solution to estimate the relevant channels and configure the IRS for efficient wireless communications, as part of the 2021 IEEE Signal Processing Cup (SP Cup) competition. First, we estimate the wireless channel and then find an IRS configuration that maximizes the rate of that channel. We begin with the provided far-from-optimal IRS configurations and apply an iterative optimization technique based on gradient descent and adaptive quantization. Further optimization is obtained by training a deep generative neural network to find a configuration that maximizes the rate function. Compared to the best provided configurations that provide a weighted average rate of 104.07 Mbit/s, the best configurations we discovered provide a significantly higher average rate of 120.70 Mbit/s. Non-IRS based solution provides an average rate of 4.38 Mbit/s.
{"title":"Intelligent Reflecting Surface Configuration Using Adaptive Quantization and Neural Prior","authors":"Tomer Fireaizen, D. Ben-David, Shaked Hadad, G. Metzer, Nir Kurland, Sima Etkind, P. Lifshits, Y. Moshe, I. Cohen","doi":"10.1109/comcas52219.2021.9628995","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9628995","url":null,"abstract":"Intelligent Reflective Surface (IRS) is a promising technology for improving the data transmission rate in hard direct channel conditions. In this paper, we describe our solution to estimate the relevant channels and configure the IRS for efficient wireless communications, as part of the 2021 IEEE Signal Processing Cup (SP Cup) competition. First, we estimate the wireless channel and then find an IRS configuration that maximizes the rate of that channel. We begin with the provided far-from-optimal IRS configurations and apply an iterative optimization technique based on gradient descent and adaptive quantization. Further optimization is obtained by training a deep generative neural network to find a configuration that maximizes the rate function. Compared to the best provided configurations that provide a weighted average rate of 104.07 Mbit/s, the best configurations we discovered provide a significantly higher average rate of 120.70 Mbit/s. Non-IRS based solution provides an average rate of 4.38 Mbit/s.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629025
Y. Dimant, Iris Roger-Eitan, A. Gleizer
We analyze phase front shaping as a facilitator of sound-sound scattering measurements. At the primary fields level we present and review the lens mediation technique. We show the emerging possibility of measuring the effect with finite aperture beams. At the secondary field level quasi phase matching is analyzed as a potential mechanism to amplify the difference field generation. It is shown that significant gain can be achieved in experimental settings by inserting a nonlinear periodic structure in the intersection region of the beams.
{"title":"Measuring the acoustic scattering of sound by sound using phase front shaping","authors":"Y. Dimant, Iris Roger-Eitan, A. Gleizer","doi":"10.1109/comcas52219.2021.9629025","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629025","url":null,"abstract":"We analyze phase front shaping as a facilitator of sound-sound scattering measurements. At the primary fields level we present and review the lens mediation technique. We show the emerging possibility of measuring the effect with finite aperture beams. At the secondary field level quasi phase matching is analyzed as a potential mechanism to amplify the difference field generation. It is shown that significant gain can be achieved in experimental settings by inserting a nonlinear periodic structure in the intersection region of the beams.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129673386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629014
Dror Jacoby, J. Ostrometzky, H. Messer
This work proposes an Adaptive Fuzzy Prediction (AFP) method for the attenuation time series in Commercial Microwave links (CMLs). Time-series forecasting models regularly rely on the assumption that the entire data set follows the same Data Generating Process (DGP). However, the signals in wireless microwave links are severely affected by the varying weather conditions in the channel. Consequently, the attenuation time series might change its characteristics significantly at different periods. We suggest an adaptive framework to better employ the training data by grouping sequences with related temporal patterns to consider the non-stationary nature of the signals. The focus in this work is two-folded. The first is to explore the integration of static data of the CMLs as exogenous variables for the attenuation time series models to adopt diverse link characteristics. This extension allows to include various attenuation datasets obtained from additional CMLs in the training process and dramatically increasing available training data. The second is to develop an adaptive framework for short-term attenuation forecasting by employing an unsupervised fuzzy clustering procedure and supervised learning models. We empirically analyzed our framework for model and data-driven approaches with Recurrent Neural Network (RNN) and Autoregressive Integrated Moving Average (ARIMA) variations. We evaluate the proposed extensions on real-world measurements collected from 4G backhaul networks, considering dataset availability and the accuracy for 60 seconds prediction. We show that our framework can significantly improve conventional models’ accuracy and that incorporating data from various CMLs is essential to the AFP framework. The proposed methods have been shown to enhance the forecasting model’s performance by 30 − 40%, depending on the specific model and the data availability.
{"title":"Adaptive Fuzzy-Based Models for Attenuation Time Series Forecasting","authors":"Dror Jacoby, J. Ostrometzky, H. Messer","doi":"10.1109/comcas52219.2021.9629014","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629014","url":null,"abstract":"This work proposes an Adaptive Fuzzy Prediction (AFP) method for the attenuation time series in Commercial Microwave links (CMLs). Time-series forecasting models regularly rely on the assumption that the entire data set follows the same Data Generating Process (DGP). However, the signals in wireless microwave links are severely affected by the varying weather conditions in the channel. Consequently, the attenuation time series might change its characteristics significantly at different periods. We suggest an adaptive framework to better employ the training data by grouping sequences with related temporal patterns to consider the non-stationary nature of the signals. The focus in this work is two-folded. The first is to explore the integration of static data of the CMLs as exogenous variables for the attenuation time series models to adopt diverse link characteristics. This extension allows to include various attenuation datasets obtained from additional CMLs in the training process and dramatically increasing available training data. The second is to develop an adaptive framework for short-term attenuation forecasting by employing an unsupervised fuzzy clustering procedure and supervised learning models. We empirically analyzed our framework for model and data-driven approaches with Recurrent Neural Network (RNN) and Autoregressive Integrated Moving Average (ARIMA) variations. We evaluate the proposed extensions on real-world measurements collected from 4G backhaul networks, considering dataset availability and the accuracy for 60 seconds prediction. We show that our framework can significantly improve conventional models’ accuracy and that incorporating data from various CMLs is essential to the AFP framework. The proposed methods have been shown to enhance the forecasting model’s performance by 30 − 40%, depending on the specific model and the data availability.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130368649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629055
N. Landsberg, O. Asaf, W. Shin
A D-band low noise amplifier (LNA) has been fabricated in a 22 nm FD-SOI CMOS process for phased array radar applications. The LNA is composed of three identical stages of neutralized common source topology. A peak gain of 21 dB was measured with input and output matching (S11 and S22) better than −10 dB over the 131-162 GHz band. The power consumption of the LNA is 28 mW with expected noise figure (NF) of 6-6.5 dB and output P1dB of 3.8 dBm for a back-gate voltage of 0 V. Increasing the back-gate bias of the transistors to 1 V slightly increases gain and improves NF, but also allows optimizing power consumption vs. linearity tradeoff. Hence, improved NF of 5.5-6 dB and output P1dB of about 5 dBm at 140 GHz are expected, resulting also in an increased power consumption of 46 mW. The design consumes a core area of 200x100 µm2. While small signal S-parameters and power consumptions were validated in measurements, NF and linearity are yet to be measured.
{"title":"A D-Band LNA Using a 22 nm FD-SOI CMOS Technology for Radar Applications","authors":"N. Landsberg, O. Asaf, W. Shin","doi":"10.1109/comcas52219.2021.9629055","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629055","url":null,"abstract":"A D-band low noise amplifier (LNA) has been fabricated in a 22 nm FD-SOI CMOS process for phased array radar applications. The LNA is composed of three identical stages of neutralized common source topology. A peak gain of 21 dB was measured with input and output matching (S11 and S22) better than −10 dB over the 131-162 GHz band. The power consumption of the LNA is 28 mW with expected noise figure (NF) of 6-6.5 dB and output P1dB of 3.8 dBm for a back-gate voltage of 0 V. Increasing the back-gate bias of the transistors to 1 V slightly increases gain and improves NF, but also allows optimizing power consumption vs. linearity tradeoff. Hence, improved NF of 5.5-6 dB and output P1dB of about 5 dBm at 140 GHz are expected, resulting also in an increased power consumption of 46 mW. The design consumes a core area of 200x100 µm2. While small signal S-parameters and power consumptions were validated in measurements, NF and linearity are yet to be measured.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629079
Konstantinos Katsinos, G. Kolezas, G. P. Zouros, G. Fikioris
In this work we develop a technique for the electromagnetic (EM) modeling of non spherical isotropic core-gyroelectric shell structures. To this end, we employ a formulation based on appropriate integral representations of the EM fields, in conjunction with spherical vector wave function (SVWF) expansions. Utilizing the boundary conditions on the inner core-shell surface, as well as on the outer shell’s surface, we obtain infinite sets of linear nonhomogeneous equations from which the expansion coefficients of the internal and scattered fields are computed. Validity tests are performed for the developed method and numerical results are given for shape perturbations of a recently proposed spherical core-shell-based photonics application.
{"title":"Integral Representations for Modeling Core-shell Particle-based Photonics Applications","authors":"Konstantinos Katsinos, G. Kolezas, G. P. Zouros, G. Fikioris","doi":"10.1109/comcas52219.2021.9629079","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629079","url":null,"abstract":"In this work we develop a technique for the electromagnetic (EM) modeling of non spherical isotropic core-gyroelectric shell structures. To this end, we employ a formulation based on appropriate integral representations of the EM fields, in conjunction with spherical vector wave function (SVWF) expansions. Utilizing the boundary conditions on the inner core-shell surface, as well as on the outer shell’s surface, we obtain infinite sets of linear nonhomogeneous equations from which the expansion coefficients of the internal and scattered fields are computed. Validity tests are performed for the developed method and numerical results are given for shape perturbations of a recently proposed spherical core-shell-based photonics application.","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115900737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/comcas52219.2021.9629099
A. Livneh, T. Heitner, A. Landesberg
Peripheral arterial disease (PAD) is a pandemic affecting over 200 million patients facing a high risk of cardiovascular morbidity and mortality. Primary PAD evaluation and screening are performed by calculating the ankle to upper-arm (brachial) systolic pressure ratio (ABI) despite its severe limitations. Novel modality and indices are presented for non-invasive monitoring of extremity perfusion, which employs miniature-sensors and impedance electrodes. Our novel indices of the peripheral perfusion wave dynamics were derived in the time-frequency domain over hundreds of cardiac cycles. The novel modality detected cuff compression induced arterial-stenosis, even with clinically intact ABI (pressure).
{"title":"Peripheral Artery Stenosis Detection by Wavelet Coherence Analysis","authors":"A. Livneh, T. Heitner, A. Landesberg","doi":"10.1109/comcas52219.2021.9629099","DOIUrl":"https://doi.org/10.1109/comcas52219.2021.9629099","url":null,"abstract":"Peripheral arterial disease (PAD) is a pandemic affecting over 200 million patients facing a high risk of cardiovascular morbidity and mortality. Primary PAD evaluation and screening are performed by calculating the ankle to upper-arm (brachial) systolic pressure ratio (ABI) despite its severe limitations. Novel modality and indices are presented for non-invasive monitoring of extremity perfusion, which employs miniature-sensors and impedance electrodes. Our novel indices of the peripheral perfusion wave dynamics were derived in the time-frequency domain over hundreds of cardiac cycles. The novel modality detected cuff compression induced arterial-stenosis, even with clinically intact ABI (pressure).","PeriodicalId":354885,"journal":{"name":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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