Design of an eco-friendly curtain cotton wearable antenna assisted by machine learning for medical applications

The design and development of an environmentally friendly curtain cotton patch antenna for high-performance wearable medical applications is presented. While textile substrates, such as jeans, jute, felt, and cotton have been widely explored, recent studies show increasing interest in integrating machine learning (ML) for antenna performance prediction, fast optimization, and intelligent material selection. With a high gain of 9.5 dBi and an operating frequency of 3.44 GHz. The return loss of the antenna is −33.144 dB, which shows decreased signal reflections and good impedance matching. Curtain cotton is a desirable choice for wearable healthcare applications since it offers a biocompatible and environmentally friendly substrate material. With a larger gain and a smaller return loss than conventional antennas, the proposed antenna performs better. Computer Simulation Technology (CST) software was used for the antenna’s design and optimization, allowing for precise modeling and behavior analysis. The proposed antenna’s design and functionality were validated by CST simulations, which showed the antenna’s performance in terms of return loss, radiation patterns, and electric and magnetic field distributions. The antenna is a perfect fit for a variety of medical and healthcare applications, owing to its performance and design.