Esmaeil S. Nadimi
University of Southern Denmark
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Publication
Featured researches published by Esmaeil S. Nadimi.
Progress in Electromagnetics Research-pier | 2015
Mohammad Hossein Ramezani; Victoria Blanes-Vidal; Esmaeil S. Nadimi
Advances in micro robots in non-invasive medicine have enabled physicians to perform diagnostic and therapeutic procedures with higher resolution and lower risk than before. However, navigation and precise localisation of such micro robots inside human body still remains a challenge. This is mostly due to the 1) lack of precise communication channel models, 2) inhomogeneity of the propagation medium and 3) non-geometric boundaries of the tissues morphometric parameters. In this study, we derive novel intra-body path loss channel models for wave propagation in wireless capsule endoscopy, i.e., propagation through the gastrointestinal tract and the abdominal wall. We formulate an adaptive attenuation parameter as a function of permittivity, conductivity and the thickness of various layers between the transmitter and the receiver. The standard deviation of modelling error of the path loss using our adaptive channel model is smaller than 50% of that of existing channel models. We further analyse the sensitivity of the path loss model to the variations of thickness of different abdominal wall layers. We finally show that the thickness of the fat layer has the greatest influence on the total attenuation parameter of the path loss model and therefore, we modify our adaptive model accordingly.
international conference of the ieee engineering in medicine and biology society | 2014
Esmaeil S. Nadimi; Victoria Blanes-Vidal; Vahid Tarokh; Per Michael Johansen
In wireless body area sensor networking (WBASN) applications such as gastrointestinal (GI) tract monitoring using wireless video capsule endoscopy (WCE), the performance of out-of-body wireless link propagating through different body media (i.e. blood, fat, muscle and bone) is still under investigation. Most of the localization algorithms are vulnerable to the variations of path-loss coefficient resulting in unreliable location estimation. In this paper, we propose a novel robust probabilistic Bayesian-based approach using received-signal-strength (RSS) measurements that accounts for Rayleigh fading, variable path-loss exponent and uncertainty in location information received from the neighboring nodes and anchors. The results of this study showed that the localization root mean square error of our Bayesian-based method was 1.6 mm which was very close to the optimum Cramer-Rao lower bound (CRLB) and significantly smaller than that of other existing localization approaches (i.e. classical MDS (64.2mm), dwMDS (32.2mm), MLE (36.3mm) and POCS (2.3mm)).
Multidimensional Systems and Signal Processing | 2018
Esmaeil S. Nadimi; Mohammad Hossein Ramezani; Victoria Blanes-Vidal
In this paper, we derive a closed form equation for the joint probability distribution
IEEE Transactions on Industrial Electronics | 2017
Jürgen Herp; Mohammad Hossein Ramezani; Esmaeil S. Nadimi
international symposium on medical information and communication technology | 2016
Hamed Farhadi; Javid Atai; Mikael Skoglund; Esmaeil S. Nadimi; Kaveh Pahlavan; Vahid Tarokh
{{f_{{R}_{z}}},{varTheta _{z}}}({r_{z}},{theta _{z}})
Surgical Endoscopy and Other Interventional Techniques | 2015
Hamed Farhadi; Esmaeil S. Nadimi; Javid Atai; Kaveh Pahlavan; Mikael Skogslund; Vahid Tarokh
International Journal of Colorectal Disease | 2018
Victoria Blanes-Vidal; Esmaeil S. Nadimi; Maria Magdalena Buijs; Gunnar Baatrup
fRz,Θz(rz,θz) of the amplitude
Endoscopy International Open | 2018
Maria Magdalena Buijs; Mohammed Hossain Ramezani; Jürgen Herp; Rasmus Kroijer; Morten Kobaek-Larsen; Gunnar Baatrup; Esmaeil S. Nadimi
international workshop on machine learning for signal processing | 2017
Esmaeil S. Nadimi; Jürgen Herp; Maria Magdalena Buijs; Victoria Blanes-Vidal
{R_{z}}
international workshop on machine learning for signal processing | 2017
Esmaeil S. Nadimi; Victoria Blanes-Vidal