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Hassan, Emadeldeen
Publications (10 of 18) Show all publications
Asan, N. B., Hassan, E., Perez, M. D., Shah, S. R., Velander, J., Blokhuis, T. J., . . . Augustine, R. (2019). Assessment of Blood Vessel Effect on Fat-Intrabody Communication Using Numerical and Ex-Vivo Models at 2.45 GHZ. IEEE Access, 7, 89886-89900
Open this publication in new window or tab >>Assessment of Blood Vessel Effect on Fat-Intrabody Communication Using Numerical and Ex-Vivo Models at 2.45 GHZ
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 89886-89900Article in journal (Refereed) Published
Abstract [en]

The potential offered by the intra-body communication (IBC) over the past few years has resulted in a spike of interest for the topic, specifically for medical applications. Fat-IBC is subsequently a novel alternative technique that utilizes fat tissue as a communication channel. This work aimed to identify such transmission medium and its performance in varying blood-vessel systems at 2.45 GHz, particularly in the context of the IBC and medical applications. It incorporated three-dimensional (3D) electromagnetic simulations and laboratory investigations that implemented models of blood vessels of varying orientations, sizes, and positions. Such investigations were undertaken by using ex-vivo porcine tissues and three blood-vessel system configurations. These configurations represent extreme cases of real-life scenarios that sufficiently elucidated their principal influence on the transmission. The blood-vessel models consisted of ex-vivo muscle tissues and copper rods. The results showed that the blood vessels crossing the channel vertically contributed to 5.1 dB and 17.1 dB signal losses for muscle and copper rods, respectively, which is the worst-case scenario in the context of fat-channel with perturbance. In contrast, blood vessels aligned-longitudinally in the channel have less effect and yielded 4.5 dB and 4.2 dB signal losses for muscle and copper rods, respectively. Meanwhile, the blood vessels crossing the channel horizontally displayed 3.4 dB and 1.9 dB signal losses for muscle and copper rods, respectively, which were the smallest losses among the configurations. The laboratory investigations were in agreement with the simulations. Thus, this work substantiated the fat-IBC signal transmission variability in the context of varying blood vessel configurations.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
Keywords
Blood vessel, channel characterization, fat-IBC, intrabody microwave communication, path loss
National Category
Computer Systems
Identifiers
urn:nbn:se:umu:diva-162027 (URN)10.1109/ACCESS.2019.2926646 (DOI)000476817400018 ()
Available from: 2019-08-09 Created: 2019-08-09 Last updated: 2019-08-09Bibliographically approved
Hassan, E., Berggren, M., Scheiner, B., Michler, F., Weigel, R. & Lurz, F. (2019). Design of Planar Microstrip-to-Waveguide Transitions Using Topology Optimization. In: 2019 IEEE Radio and Wireless Symposium (RWS), Orlando, USA, January 20-23, 2019: . Paper presented at 2019 IEEE Radio and Wireless Symposium (RWS). IEEE
Open this publication in new window or tab >>Design of Planar Microstrip-to-Waveguide Transitions Using Topology Optimization
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2019 (English)In: 2019 IEEE Radio and Wireless Symposium (RWS), Orlando, USA, January 20-23, 2019, IEEE, 2019, p. -3Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a topology optimization approach to design planar transitions between a microstrip line (MSL) and a rectangular waveguide (RWG) in the K-band. The transition comprises two sub-transitions: one from the MSL to a substrate integrated waveguide (SIW) and the second from the SIW to the RWG. Both are on the same substrate and can be manufactured with a standard printed circuit board process. This leads to a very costeffective solution compared with other approaches. A WR-42 waveguide can easily be surface mounted to the transitions using a standard flange. The transitions have been fabricated, and their measured performance shows good agreement with the simulations. The MSL-SIW transition has a broadband behavior and the SIW-RWG transition still reaches a relative bandwidth of 10%.

Place, publisher, year, edition, pages
IEEE, 2019
National Category
Communication Systems
Identifiers
urn:nbn:se:umu:diva-159568 (URN)10.1109/RWS.2019.8714566 (DOI)000470822000077 ()
Conference
2019 IEEE Radio and Wireless Symposium (RWS)
Funder
eSSENCE - An eScience Collaboration, 570015103
Available from: 2019-06-02 Created: 2019-06-02 Last updated: 2019-07-09Bibliographically approved
Dessouky, A. M., Taha, T. E., Dessouky, M. M., Eltholth, A. A., Hassan, E. & Abd El-Samie, F. E. (2019). Non-parametric spectral estimation techniques for DNA sequence analysis and exon region prediction. Computers & electrical engineering, 73, 334-348
Open this publication in new window or tab >>Non-parametric spectral estimation techniques for DNA sequence analysis and exon region prediction
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2019 (English)In: Computers & electrical engineering, ISSN 0045-7906, E-ISSN 1879-0755, Vol. 73, p. 334-348Article in journal (Refereed) Published
Abstract [en]

Bioinformatics is the analysis of biological information using computers and statistical techniques. This paper presents non-parametric spectral estimation techniques based on the Discrete Fourier Transform (DFT) for the analysis of deoxyribonucleic acid (DNA) sequences. These techniques are efficient frequency-domain signal representation techniques, which improve the analysis of DNA sequences and enable the extraction of some desirable information that cannot be extracted from the time-domain representation of these sequences. The adopted techniques are the periodogram, average periodogram (Bartlett), modified average periodogram (Welch), and Blackman and Tukey spectral estimation techniques. The objective of these spectral estimation techniques is to investigate the locations of exons in DNA sequences for gene prediction. A comparison study is presented in this paper between the suggested spectral estimation techniques from the exon prediction perspective. The methods presented in this paper improve the detectability of peaks representing exon regions.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Bioinformatics, DNA, Exon prediction, Genomic signal processing, Spectral estimation
National Category
Computer Sciences Bioinformatics (Computational Biology)
Identifiers
urn:nbn:se:umu:diva-156897 (URN)10.1016/j.compeleceng.2018.12.001 (DOI)000458593900026 ()
Available from: 2019-03-09 Created: 2019-03-09 Last updated: 2019-03-09Bibliographically approved
Dessouky, A. M., Taha, T. E., Dessouky, M. M., Eltholth, A. A., Hassan, E. & Abd El-Samie, F. E. (2019). Visual representation of DNA sequences for exon detection using non-parametric spectral estimation techniques. Nucleosides, Nucleotides & Nucleic Acids, 38(5), 321-337
Open this publication in new window or tab >>Visual representation of DNA sequences for exon detection using non-parametric spectral estimation techniques
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2019 (English)In: Nucleosides, Nucleotides & Nucleic Acids, ISSN 1525-7770, E-ISSN 1532-2335, Vol. 38, no 5, p. 321-337Article in journal (Refereed) Published
Abstract [en]

This paper presents a new approach for modeling of DNA sequences for the purpose of exon detection. The proposed model adopts the sum-of-sinusoids concept for the representation of DNA sequences. The objective of the modeling process is to represent the DNA sequence with few coefficients. The modeling process can be performed on the DNA signal as a whole or on a segment-by-segment basis. The created models can be used instead of the original sequences in a further spectral estimation process for exon detection. The accuracy of modeling is evaluated evaluated by using the Root Mean Square Error (RMSE) and the R-square metrics. In addition, non-parametric spectral estimation methods are used for estimating the spectral of both original and modeled DNA sequences. The results of exon detection based on original and modeled DNA sequences coincide to a great extent, which ensures the success of the proposed sum-of-sinusoids method for modeling of DNA sequences.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2019
Keywords
DNA, signal modeling, non-parametric spectral estimation
National Category
Probability Theory and Statistics Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:umu:diva-159610 (URN)10.1080/15257770.2018.1536270 (DOI)000467734200001 ()30861361 (PubMedID)
Available from: 2019-06-17 Created: 2019-06-17 Last updated: 2019-06-17Bibliographically approved
Badariah Asan, N., Hassan, E., Velander, J., Redzwan Mohd Shah, S., Noreland, D., Blokhuis, T. J., . . . Augustine, R. (2018). Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies. Sensors, 18(9), Article ID 2752.
Open this publication in new window or tab >>Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies
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2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 9, article id 2752Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate the use of fat tissue as a communication channel between in-body, implanted devices at R-band frequencies (1.7–2.6 GHz). The proposed fat channel is based on an anatomical model of the human body. We propose a novel probe that is optimized to efficiently radiate the R-band frequencies into the fat tissue. We use our probe to evaluate the path loss of the fat channel by studying the channel transmission coefficient over the R-band frequencies. We conduct extensive simulation studies and validate our results by experimentation on phantom and ex-vivo porcine tissue, with good agreement between simulations and experiments. We demonstrate a performance comparison between the fat channel and similar waveguide structures. Our characterization of the fat channel reveals propagation path loss of ∼0.7 dB and ∼1.9 dB per cm for phantom and ex-vivo porcine tissue, respectively. These results demonstrate that fat tissue can be used as a communication channel for high data rate intra-body networks.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
intra-body communication, path loss, microwave probes, channel characterization, fat tissue, ex-vivo, phantom, dielectric properties, topology optimization
National Category
Communication Systems Computer Sciences Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:umu:diva-150977 (URN)10.3390/s18092752 (DOI)000446940600011 ()30134629 (PubMedID)2-s2.0-85052218591 (Scopus ID)
Funder
eSSENCE - An eScience Collaboration, 5700-15103VINNOVA, 2015-04159Swedish Foundation for Strategic Research , RIT17-0020
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2018-12-13Bibliographically approved
Hassan, E., Wadbro, E., Hägg, L. & Berggren, M. (2018). Topology optimization of compact wideband coaxial-to-waveguide transitions with minimum-size control. Structural and multidisciplinary optimization (Print), 57(4), 1765-1777
Open this publication in new window or tab >>Topology optimization of compact wideband coaxial-to-waveguide transitions with minimum-size control
2018 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 57, no 4, p. 1765-1777Article in journal (Refereed) Published
Abstract [en]

This paper presents a density-based topology optimization approach to design compact wideband coaxial-to-waveguide transitions. The underlying optimization problem shows a strong self penalization towards binary solutions, which entails mesh-dependent designs that generally exhibit poor performance. To address the self penalization issue, we develop a filtering approach that consists of two phases. The first phase aims to relax the self penalization by using a sequence of linear filters. The second phase relies on nonlinear filters and aims to obtain binary solutions and to impose minimum-size control on the final design. We present results for optimizing compact transitions between a 50-Ohm coaxial cable and a standard WR90 waveguide operating in the X-band (8-12 GHz).

Place, publisher, year, edition, pages
New York: Springer, 2018
Keywords
Maxwell's equations, sensitivity analysis, optimization, waveguide
National Category
Communication Systems Computer Sciences
Identifiers
urn:nbn:se:umu:diva-146663 (URN)10.1007/s00158-017-1844-8 (DOI)000430101600022 ()
Available from: 2018-04-16 Created: 2018-04-16 Last updated: 2018-06-09Bibliographically approved
Asan, N. B., Redzwan, S., Rydberg, A., Augustine, R., Noreland, D., Hassan, E. & Voigt, T. (2017). Human Fat Tissue: A Microwave Communication Channel. In: 2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC): . Paper presented at 1st IEEE MTT-S International Microwave Bio Conference (IMBioC), Gothenburg, Sweden, 15-17 May, 2017. IEEE
Open this publication in new window or tab >>Human Fat Tissue: A Microwave Communication Channel
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2017 (English)In: 2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an approach for communication through human body tissue in the R-band frequency range. This study examines the ranges of microwave frequencies suitable for intra-body communication. The human body tissues are characterized with respect to their transmission properties using simulation modeling and phantom measurements. The variations in signal coupling with respect to different tissue thicknesses are studied. The simulation and phantom measurement results show that electromagnetic communication in the fat layer is viable with attenuation of approximately 2 dB per 20 mm.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
tissue characterization, transmission medium, biomedical sensor, channel model, phantom measurement
National Category
Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:umu:diva-163054 (URN)10.1109/IMBIOC.2017.7965801 (DOI)000463704900034 ()978-1-5386-1713-7 (ISBN)
Conference
1st IEEE MTT-S International Microwave Bio Conference (IMBioC), Gothenburg, Sweden, 15-17 May, 2017
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09Bibliographically approved
Asan, N. B., Noreland, D., Hassan, E., Shah, S. R., Rydberg, A., Blokhuis, T. J., . . . Augustine, R. (2017). Intra-body microwave communication through adipose tissue. Healthcare technology letters, 4(4), 115-121
Open this publication in new window or tab >>Intra-body microwave communication through adipose tissue
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2017 (English)In: Healthcare technology letters, E-ISSN 2053-3713, Vol. 4, no 4, p. 115-121Article in journal (Refereed) Published
Abstract [en]

The human body can act as a medium for the transmission of electromagnetic waves in the wireless body sensor networks context. However, there are transmission losses in biological tissues due to the presence of water and salts. This Letter focuses on lateral intra-body microwave communication through different biological tissue layers and demonstrates the effect of the tissue thicknesses by comparing signal coupling in the channel. For this work, the authors utilise the R-band frequencies since it overlaps the industrial, scientific and medical radio (ISM) band. The channel model in human tissues is proposed based on electromagnetic simulations, validated using equivalent phantom and ex-vivo measurements. The phantom and ex-vivo measurements are compared with simulation modelling. The results show that electromagnetic communication is feasible in the adipose tissue layer with a low attenuation of approximate to 2 dB per 20 mm for phantom measurements and 4 dB per 20 mm for ex-vivo measurements at 2 GHz. Since the dielectric losses of human adipose tissues are almost half of ex-vivo tissue, an attenuation of around 3 dB per 20 mm is expected. The results show that human adipose tissue can be used as an intra-body communication channel.

Place, publisher, year, edition, pages
The Institution of Engineering and Technology, 2017
Keywords
electromagnetic wave transmission, body sensor networks, biological tissues, phantoms, dielectric losses, wireless body sensor networks, transmission losses, water, salts, lateral intrabody microwave communication, biological tissue layers, tissue thicknesses, signal coupling, R-band frequencies, industrial radio band, scientific radio band, medical radio band, electromagnetic simulations, equivalent phantom, ex-vivo measurements, adipose tissue layer, phantom measurements
National Category
Medical Engineering Biomedical Laboratory Science/Technology
Identifiers
urn:nbn:se:umu:diva-139151 (URN)10.1049/htl.2016.0104 (DOI)000408370500001 ()
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2018-06-09Bibliographically approved
Asan, N. B., Velander, J., Redzwan, S., Augustine, R., Hassan, E., Noreland, D., . . . Blokhuis, T. J. (2017). Reliability of the Fat Tissue Channel for Intra-body Microwave Communication. In: 2017 IEEE Conference on Antenna Measurements & Applications (CAMA): . Paper presented at IEEE Conference on Antenna Measurements and Applications (CAMA), DEC 04-06, 2017, Tsukuba, JAPAN (pp. 310-313). IEEE
Open this publication in new window or tab >>Reliability of the Fat Tissue Channel for Intra-body Microwave Communication
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2017 (English)In: 2017 IEEE Conference on Antenna Measurements & Applications (CAMA), IEEE , 2017, p. 310-313Conference paper, Published paper (Refereed)
Abstract [en]

Recently, the human fat tissue has been proposed as a microwave channel for intra-body sensor applications. In this work, we assess how disturbances can prevent reliable microwave propagation through the fat channel. Perturbants of different sizes are considered. The simulation and experimental results show that efficient communication through the fat channel is possible even in the presence of perturbants such as embedded muscle layers and blood vessels. We show that the communication channel is not affected by perturbants that are smaller than 15 mm cube.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Conference on Antenna Measurements & Applications, ISSN 2474-1760
Keywords
microwaves, dielectric properties, fat channel, intra-body communication, phantom
National Category
Clinical Science
Identifiers
urn:nbn:se:umu:diva-145629 (URN)10.1109/CAMA.2017.8273435 (DOI)000425256200088 ()978-1-5090-5028-4 (ISBN)
Conference
IEEE Conference on Antenna Measurements and Applications (CAMA), DEC 04-06, 2017, Tsukuba, JAPAN
Available from: 2018-03-13 Created: 2018-03-13 Last updated: 2018-06-09Bibliographically approved
Hassan, E., Noreland, D., Wadbro, E. & Berggren, M. (2017). Topology Optimisation of Wideband Coaxial-to-Waveguide Transitions. Scientific Reports, 7, Article ID 45110.
Open this publication in new window or tab >>Topology Optimisation of Wideband Coaxial-to-Waveguide Transitions
2017 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, article id 45110Article in journal (Refereed) Published
Abstract [en]

To maximize the matching between a coaxial cable and rectangular waveguides, we present a computational topology optimisation approach that decides for each point in a given domain whether to hold a good conductor or a good dielectric. The conductivity is determined by a gradient-based optimisation method that relies on finite-difference time-domain solutions to the 3D Maxwell’s equations. Unlike previously reported results in the literature for this kind of problems, our design algorithm can efficiently handle tens of thousands of design variables that can allow novel conceptual waveguide designs. We demonstrate the effectiveness of the approach by presenting optimised transitions with reflection coefficients lower than −15dB over more than a 60% bandwidth, both for right-angle and end-launcher configurations. The performance of the proposed transitions is crossverified with a commercial software, and one design case is validated experimentally.

Keywords
topology optimization, finite-difference time- domain (FDTD), adjoint-field problem, waveguides, coaxial cable, transitions design, end-launcher.
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-102577 (URN)10.1038/srep45110 (DOI)000397137700001 ()
Funder
Swedish Research Council, 621-2013-3706
Available from: 2015-04-28 Created: 2015-04-28 Last updated: 2018-06-07Bibliographically approved
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