Respiratory system

BIOMEDICAL SIGNAL PROCESSING AND CHARACTERIZATION FOR RESPIRATORY PATHOLOGIES

Imagen L5 EGil

Research line and investigator in charge

Obstructive Sleep Apnea Syndrome diagnosis and monitoring based on pulse photoplethysmography signal (PPG).

  1. Detection of sympathetic activations associated with apnea.
  2. Study of the relationship between sympathetic activations and apnea based on Autonomic Nervous System analysis from HRV, PTT and PRV.
  3. Deriving respiration from PPG.

Investigator in charge: Eduardo Gil

– Projects

  • Project 1

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

Funding agency: CICYT/FEDER, Ref. TEC2010-21703-C03-02

Dates: Jan 2011 – Dec 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: Deriving heart rate variability and respiration from pulse photoplethysmography signal.

Funding agency: Fundación agencia aragonesa para la investigación y el desarrollo (ARAID)

Dates: Oct 2010 – Oct 2012.

Description: The main objective of the project is to obtain heart rate variability and respiration information from pulse photoplethysmographic signal using advanced signal processing techniques to aid Obstructive Sleep Apnea Syndrome diagnosis in children.

A new methodology for obtaining the respiratory rate based on the measurement of the pulse width of the PPG signal has been developed.

– Technologies and targeting sectors

  • Technology 1

Signal processing software for apnea detection.

Targeting sector: Biomedical Engineering companies

  •  Technology 2

Respiratory rate estimation system from PPG signal.

Targeting sector: Biomedical Engineering companies

– Patents and technology transfer

Not available

– Singular equipment

Ambulatory polysomnography system SOMTE PSG V2 for sleep disorder studies.

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