The aim of BioRes research group is to apply advanced signal processing techniques to biomedical signals to extract information clinically important. We use machine learning and deep learning techniques for classification and prediction purposes.

Main application lines:

DIAGNOSIS AND MONITORING DURING CARDIAC ARREST

- Electrocardiogram based diagnosis during cardiopulmonary resuscitation (CPR)

- Discrimination of pulsed rhythm

- Cardiac rhythm classification

- CPR automated monitoring (chest compressions and ventilations)

RESTROSPECTIVE ANALYSIS OF OUT-OF-HOSPITAL CARDIAC ARREST EPISTRIES

- CPR quality evaluation

- Evaluation of advanced airway management strategies

- Analysis of the effect of pharmacological treatment during resuscitation

BIOMEDICAL DATA ANALYSIS

- Survival prediction in emergency context

- Pediatric weight estimation

AGRICULTURE IMAGE PROCESSING (in collaboration with Technalia Research Center)