A Principal Component Analysis Technique to Monitor the Hematomas Using a Wide Band Textile Monopole Antenna

The rapid advancements in wearable antenna tech-nologies have opened up new avenues for non-invasive healthcare applications. This work uses a principal component analysis technique to monitor the hematomas using a wide-band textile monopole (WTM) antenna. The WTM antenna operates at 3.13 GHz to 10.87 GHz, and its electrical size of
$\lambda_{0}/5.38\times\lambda_{0}/5.1 \times\lambda_{0}/90.9m^{3}$
shows that it is compact and easy to assemble in the microwave sensing system. This research proposes an unsupervised machine-learning framework that leverages the data collected from wearable antennas to identify the presence of hematomas. These WTM antennas continuously capture elec-tromagnetic signals from the fractured bone, allowing for real-time monitoring of subtle changes in the fractured bone and tissue characteristics. The reported findings demonstrate the feasibility and effectiveness of this innovative approach, providing a promising foundation for further research and development in the field of non-invasive monitoring of hematomas using wearable antennas.