Descripció del projecte
This doctoral thesis focuses on developing an innovative index for assessing the inflammatory response, aiming to enable early detection of sepsis. Sepsis is a critical medical condition triggered by infection, causing widespread inflammation and potentially leading to organ dysfunction or failure. Detecting sepsis early is challenging due to its rapid onset and non-specific symptoms, underscoring the need for a reliable method like the proposed index.This index, designed to evaluate a patient’s real-time condition using non-invasive methods, will serve as a practical tool for healthcare professionals in patient management. The research is grounded in the observation of physiological signals to assess the autonomic nervous system activity such as brain and heart activity.
The project comprises several key phases. Initially, we will establish meticulous protocols for clinical studies, outlining data collection procedures in detail. This phase will involve capturing brain and heart signals through the Coresys One device developed by CoresysHealth S.L. These signals will be recorded at various hospitals that collaborate with Coresys Health, along with the assessment of analgesic levels in patients and conventional sepsis markers. .
A comprehensive analysis of the collected data will identify significant characteristics and properties within the signals. These properties will be analyzed to assess tehir conexion to the inflammatory response generated by Sepsis. Those exhibiting greater relevance will be the choice for training mathematical models through AI.
To ensure the reliability and effectiveness of the new index, different validation procedures will be carried out. The model will undergo meticulous scrutiny to confirm its precision and reliability by comparing it to traditional sepsis assessment.
This project, driven by a commitment to advancing medicine and biomedical technology, focuses not only to enhance early sepsis detection but also to contribute significantly to the field of biomedical engineering.
