Development and Evaluation of an Intelligent Support System Based on Signal Processing Algorithms for the Evaluation of Patients with Vitiligo

This project addresses the critical need to improve the objective evaluation of skin repigmentation in patients affected by vitiligo, a globally prevalent pigmentary disorder causing melanocyte destruction and significant psychological impact. Repigmentation is a slow process requiring precise monitoring. The proposed solution involves developing and evaluating an intelligent support system based on advanced signal processing algorithms. The research methodology includes detailed patient characterization, implementation of the recognition system on CEDIA servers, and rigorous evaluation of stochastic and discriminative methods for pattern recognition. Finally, the developed software will be assessed by physicians to measure repigmentation, and its impact on patient quality of life will be analyzed, aiming to provide an objective and efficient tool for clinical follow-up.<br/><br/><b>Goal</b>: <br/>To improve the evaluation methods for skin repigmentation in vitiligo patients through the development and assessment of an intelligent support system based on signal processing algorithms.<br/><br/><b>Research lines</b>: <br/>Control engineering and automation technologies