Fabric-based wideband wearable textile antenna for microwave cancer detection with AI-assisted analysis

Wearable textile antennas offer a viable platform for the non-invasive, real-time cancer detection, providing increased patient comfort. This paper outlines a high-brightness wearable textile antenna for wireless biomedical sensing, complemented by artificial intelligence for tumor analysis. The antenna is fabricated on a substrate of jeans fabric (Ɛr = 1.7), which is chosen for its elasticity, durability, and wearable healthcare applications. The proposed design is 61 × 61 × 1.076 mm3, and the electrical size is 1.5 × 1.5 × 0.027, corresponding to a wavelength. It operates at 7.66 GHz and has a reflection coefficient of − 29 dB, which provides efficient impedance matching and reduced signal loss. Its spectrum of sensitivity to changes in the permittivity of tissues with malignant growths is well covered by an extensive bandwidth of 84%. In general, fractal-based geometry and wavelet-based electromagnetic analysis are used to assess multiscale field localisation and to extract frequency-domain features for improved detection. The antenna exhibits both directional and omnidirectional radiation, with surface current densities of 95.9 A/m and 79.09 A/m, respectively. SAR analysis ensures that on-body applications are safe, and the overall findings indicate that textile antennae based on jeans, wireless sensing, and AI analytics are among the brightest prospects for next-generation wearable cancer detection and telemedicine systems.