NON-INVASIVE PARAMETRIZATION OF AUTONOMIC NERVOUS SYSTEM
Patents and technology transfer
Non-invasive parametrization of autonomic nervous system activity through the analysis of the dynamics and interactions of signals derived from electrocardiogram (ECG), blood pressure (BP), and pulse photoplethysmography signals (PPG), such as heart rate variability (HRV), BP variability and pulse transit time (PTT). Applications:
Analysis and modeling of HRV during exercise.
Detection of drowsiness in drivers.
Identification of stress, emotional states and effects of music.
Discrimination of patients resistant or prone to suffer hypotension during hemodialysis.
Prediction of hypotension during spinal anesthesia in cesarean delivery.
Robust estimation of cardiovascular variability signals (HRV, BPV, PTT)
Targeting sector: Biomedical Engineering companies, Companies developing monitoring equipment in sports and psychology fields.
Technology 2
Analysis and interpretation of the dynamics and interactions of cardiovascular variability signals
Targeting sector: Biomedical Engineering companies, Companies developing monitoring equipment in sports and psychology fields.
Research line
Case 1
Technology transfer agreement with the company Ficomirrors S.A. of the detector of drivers’ saturation and relaxation level.
Case 2
Technology transfer agreement with the Universitary Hospital Miguel Servet for the development of the predictor of hypotension during spinal anesthesia during cesarean delivery.
Singular equipment
Biomedical acquisition lab, including a tilt table set; Finometer for Blood pressure measurement and BIOPAC system for data acquisition.
