Miniaturization of a Pifa Antenna for Biomedical Applications Using Artificial Neural Networks

Abstract

This work deals with the optimization of an inverted F dual-band implantable antenna operating in Medical Device Radiocommunications Service (MedRadio, 401-406 MHz) and Industrial Scientific Medical (ISM, 902-928 MHz) applications bands. Artificial neural networks (ANNs) are implemented to minimize the size of the initial design. The ANN's output with the physical and dielectric parameters of antenna as inputs is tested using COMSOL Multiphysics. The obtained results regarding the return loss S 11 , resonant frequency and bandwidth of the antenna are presented and discussed. Indeed, the size of the antenna is reduced by 21.48% with respect to the initial size while preserving its initial good performance in both frequency bands.

Modeling and Designing of a Compact Single Band PIFA Antenna for Wireless Application using Artificial Neural Network

“…It is clear from these results that the learning phase performs well at 23 iterations. To verify the structure of our network, we present in the following figures (11,12,13,14,15) a comparison between the obtained dimensions using HFSS software and those predicted by our neural network. It is very clear that the obtained results by the neural network based on the multilayers perceptron are very close to the obtained results using HFSS software.…”

“…In [12,13] the dimensions of a rectangular microstrip patch antenna was determined by applying the ANNs method. ANN models have been also used in many design of PIFA antenna to compute the resonance frequency and to minimize the size by calculating the lengths and widths the slots [15]. However, the ANN model is limited to the study of the resonance frequency of the PIFA antenna [16,17].…”

Modeling and Designing of a Compact Single Band PIFA Antenna for Wireless Application Using Artificial Neural Network

“…In [12,13] the dimensions of a rectangular microstrip patch antenna was determined by applying the ANNs method. ANN models have been also used in many design of PIFA antenna to compute the resonance frequency and to minimize the size by calculating the lengths and widths the slots [15]. However, the ANN model is limited to the study of the resonance frequency of the PIFA antenna [16,17].…”

Multilayered Implantable Antenna Biosensor for Continuous Glucose Monitoring: Design and Analysis

“…The design considerations of implantable antennas for CGM include: minimizing the operating structure, the frequency of operation, confined specific absorption rate, increase in bandwidth, biocompatibility, and tuning insensitivity [10]. Previously reported antennas have been designed to operate in MICS [7,8], MedRedio [11,12], and ISM bands [3,7,9,[12][13][14]. To achieve a miniaturized implantable antenna, various antenna structures have been studied, such as planer inverted-F antenna (PIFA) [12], multi-layer PIFA with the high dielectric constant substrate [7-9, 11, 14], and the usage of magneto-dielectric material [13].…”

“…Previously reported antennas have been designed to operate in MICS [7,8], MedRedio [11,12], and ISM bands [3,7,9,[12][13][14]. To achieve a miniaturized implantable antenna, various antenna structures have been studied, such as planer inverted-F antenna (PIFA) [12], multi-layer PIFA with the high dielectric constant substrate [7-9, 11, 14], and the usage of magneto-dielectric material [13]. Some of these antenna prototypes provide miniaturization.…”