Autonomic nervous system

NON-INVASIVE PARAMETRIZACION OF AUTONOMIC NERVIUS SYSTEM

 

Imagen L4 RBailon

– Research line and investigator in charge

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:

  1. Analysis and modeling of HRV during exercise.
  2. Detection of drowsiness in drivers.
  3. Identification of stress, emotional states and effects of music.
  4. Discrimination of patients resistant or prone to suffer hypotension during hemodialysis.
  5. Prediction of hypotension during spinal anesthesia in cesarean delivery.

Investigator in charge: Raquel Bailón

– Projects

  •  Project 1

Title: Multimodal biomedical signal processing for analysis and physiological characterization of cardiac respiratory and autonomic dysfunctions.

Funding agency: CICYT TEC2010-21703-C03-02

Dates:  2010 – 2013.

Principal Investigator: Juan Pablo Martínez.

Description: In this project we aim to investigate and assess novel approaches to extract, interpret, integrate and model clinically relevant information derived from multimodal biomedical signals and measurements –invasive and non-invasive– in order to improve the knowledge on the underlying physiological mechanisms in a number of relevant, highly prevalent diseases of the cardiovascular, respiratory, autonomic and neurological systems, as well as other non-pathological disordered conditions (sleepiness, distressed emotions, microgravity…). The main objective is to improve interpretation and physiological characterization of such conditions by the use of multimodal advanced signal processing and modelling approaches, thus leading to enhanced earlier diagnostic of certain pathologies, more accurate non-invasive risk stratification and optimized planning of some interventions, such as cardiac resynchronization therapy and ablation for atrial or ventricular arrhythmia.

  •  Project 2

Title: Development of a detector for the driver’s saturation and relaxation level from

biological signals during driving simulation.

Funding agency: Ministerio de Ciencia e Innovación –TRACE TRA2009_0127

Dates:  2010 – 2012.

Principal Investigator: Raquel Bailón

Description: This Project was developed for the company Ficomirrors S.A. and the objective was to identify episodes of drowsiness in drivers through the analysis of HRV, first in driving simulation, and then in real driving. Results from this project suggested that it was possible to identify sleep-deprived subjects.

  •  Project 3

Title: Prediction of hypotension during spinal anesthesia in cesarean delivery through the analysis of autonomic nervous system activity, and the effect of the hypotension pharmacological prophylaxis in fetal wellness.

Funding agency: Instituto de Salud Carlos III (FIS) PI10/02851

Dates:  2011 – 2013.

Principal Investigator: Augusto Navarro

Description: In this project the activity of the autonomic nervous system activity is studied through the analysis of HRV, BPV and PTT with the objective of predicting hypotension during spinal anesthesia in cesarean delivery. First, an algorithm for the identification of women prone to suffer hypotension will be developed. Then, the algorithm will be used to study the effect of hypotension pharmacological prophylaxis in fetal wellness.

– Technologies and targeting sectors

  •  Technology 1

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.

– Patents and technology transfer

  •  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.

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