ArtiPred

The scope of ArtIPred project is to design and validate a smart health system based on artificial intelligence (AI) as a predictor for chronic kidney disease development using ECG signals from animal models. The main advantage of this model is the fact that it will provide a safe non-invasive way for patients to determine the state of their kidneys. The proposed architecture implementing the ArtiPred system. With the use of a wireless sensor we can capture ECG signals that will be further processed amongst with other clinical data acquired with medical equipment. The goal is to establish a clinical framework which will be the basis of the CKD models development. In order to capture the clinical data we will deploy a web interface which will allow to register and store the clinical observation of the medical personnel, based on imagistics and biochemistry trials. After establishing the clinical framework and achieve the CKD data models, we will study and experiment specific AI solutions in order to identify the correlations between the ECG data sets and the disease evolution. The main goal is to develop and validate, at laboratory level, an artificial intelligence tool which will allow early diagnosis of the CKD.