Noor Badariah Asan
Uppsala University
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Featured researches published by Noor Badariah Asan.
Healthcare technology letters | 2017
Noor Badariah Asan; Daniel Noreland; Emadeldeen Hassan; Syaiful Redzwan Mohd Shah; Anders Rydberg; Taco J. Blokhuis; Per-Ola Carlsson; Thiemo Voigt; Robin Augustine
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 ∼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.
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology | 2017
Noor Badariah Asan; Carlos Pérez Penichet; Syaiful Redzwan Mohd Shah; Daniel Noreland; Emadeldeen Hassan; Anders Rydberg; Taco J. Blokhuis; Thiemo Voigt; Robin Augustine
This paper explores high data rate microwave communication through fat tissue in order to address the wide bandwidth requirements of intrabody area networks. We have designed and carried out experiments on an IEEE 802.15.4-based WBAN prototype by measuring the performance of the fat tissue channel in terms of data packet reception with respect to tissue length and power transmission. This paper proposes and demonstrates a high data rate communication channel through fat tissue using phantom and ex-vivo environments. Here, we achieve a data packet reception of approximately 96% in both environments. The results also show that the received signal strength drops by ∼1 dBm per 10 mm in phantom and ∼2 dBm per 10 mm in ex-vivo. The phantom and ex-vivo experimentations validated our approach for high data rate communication through fat tissue for intrabody network applications. The proposed method opens up new opportunities for further research in fat channel communication. This study will contribute to the successful development of high bandwidth wireless intrabody networks that support high data rate implanted, ingested, injected, or worn devices.
Sensors | 2018
Noor Badariah Asan; Emadeldeen Hassan; Jacob Shah; Daniel Noreland; Taco J. Blokhuis; Eddie Wadbro; Martin Berggren; Thiemo Voigt; Robin Augustine
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.
Sensors | 2018
Syaiful Redzwan Mohd Shah; Jacob Velander; Parul Mathur; Mauricio D Perez; Noor Badariah Asan; Dhanesh G. Kurup; Taco J. Blokhuis; Robin Augustine
In recent research, microwave sensors have been used to follow up the recovery of lower extremity trauma patients. This is done mainly by monitoring the changes of dielectric properties of lower limb tissues such as skin, fat, muscle, and bone. As part of the characterization of the microwave sensor, it is crucial to assess the signal penetration in in vivo tissues. This work presents a new approach for investigating the penetration depth of planar microwave sensors based on the Split-Ring Resonator in the in vivo context of the femoral area. This approach is based on the optimization of a 3D simulation model using the platform of CST Microwave Studio and consisting of a sensor of the considered type and a multilayered material representing the femoral area. The geometry of the layered material is built based on information from ultrasound images and includes mainly the thicknesses of skin, fat, and muscle tissues. The optimization target is the measured S11 parameters at the sensor connector and the fitting parameters are the permittivity of each layer of the material. Four positions in the femoral area (two at distal and two at thigh) in four volunteers are considered for the in vivo study. The penetration depths are finally calculated with the help of the electric field distribution in simulations of the optimized model for each one of the 16 considered positions. The numerical results show that positions at the thigh contribute the highest penetration values of up to 17.5 mm. This finding has a high significance in planning in vitro penetration depth measurements and other tests that are going to be performed in the future.
2017 First IEEE MTT-S International Microwave Bio Conference (IMBIOC) | 2017
Noor Badariah Asan; Syaiful Redzwan; Anders Rydberg; Robin Augustine; Daniel Noreland; Emadeldeen Hassan; Thiemo Voigt
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.
Conference on Antenna Measurement and Applications (CAMA) | 2018
Mauricio D. Perez; V. Mattson; Syaiful Redzwan Mohd Shah; Jacob Velander; Noor Badariah Asan; Parul Mathur; M. Nasir; Daniel Nowinski; Dhanesh G. Kurup; Robin Augustine
2018 IEEE International Microwave Biomedical Conference (IMBioC) | 2018
Noor Badariah Asan; Jacob Velander; Syaiful Redzwan; Mauricio D. Perez; Emadeldeen Hassan; Taco J. Blokhuis; Thiemo Voigt; Robin Augustine
2018 IEEE International Microwave Biomedical Conference (IMBioC) | 2018
Syaiful Redzwan; Jacob Velander; Mauricio D. Perez; Noor Badariah Asan; Mina Rajabi; Frank Niklaus; Daniel Nowinski; Anders Lewén; Per Enblad; Robin Augustine
2018 IEEE International Microwave Biomedical Conference (IMBioC) | 2018
Jacob Velander; Syaiful Redzwan; Mauricio D. Perez; Noor Badariah Asan; Daniel Nowinski; Anders Lewén; Per Enblad; Robin Augustine
12th European Conference on Antenna and Propagation,London, (EuCap) | 2018
Mauricio D. Perez; G. Thomas; Syaiful. S; Jacob Velander; Noor Badariah Asan; Parul Mathur; M. Nasir; Daniel Nowinski; Dhanesh G. Kurup; Robin Augustine