Towards a Machine-Learning-Assisted Dielectric Sensing Platform for Point-of-Care Wound Monitoring

In this letter, we present a machine-learning-based solution to classify wounds and normal skin based on a dielectric spectroscopy approach. Using a commercial network analyzer, we have measured the dielectric constant of normal skin and different types of wounds from multiple living mice across a frequency range from 10 MHz to 20 GHz. The acquired data across a wide frequency range is processed b...