Design and ANN-based optimization of Compact Flexible Dual -band Spiral Wearable Antenna (CFDSW) with deformation analysis for body area network and biomedical applications

This dataset contains the simulation parameters, ANN training configuration, measured antenna characteristics, and supporting data associated with the published work on a compact flexible dual-band spiral wearable antenna (CFDSW) for WBAN and biomedical applications. The compact Flexible Dual ISM Band Spiral Wearable (CFDSW) antenna is a compact antenna that uses a CPW fed CPW spiral coiled in a flexible polyimide substrate that has a compact size of 24 x 20 x 0.1 mm3 and is therefore very suitable in conformal wearable devices. An improved CPW ground design is proposed in order to improve impedance matching and bandwidth characteristics. The antenna is assessed on a scale of simulated and measured studies in the free space, bending, on-body and wrist position. The results show that there are stable dual-band performance with maximum gains of 6.86 dBi at 2.4 GHz and 5.23 dBi at 5.8 GHz as well as simulated radiation efficiencies in the same two bands of about 88%. An Artificial Neural Network(ANN) machine learning optimization framework that employs Bayesian Regularization to train the network on proper prediction of resonance properties is used in order to obtain exact resonance properties with a substantial reduction in computational complexity compared to traditional full-wave optimization. Particular Absorption rate (SAR) of 0.6 W/kg and 0.8 W/kg verify adherence to IEEE and ICNIRP safety standards which proves suitability of the antenna to wearable biomedical BAN setup