Non-invasive indices

ECG RISK MARKERS FOR ARRHYTHMIA RISK IDENTIFICATION

 

Imagen L2 P. Laguna

– Research line and investigator in charge

Diagnosis, monitoring, quantification and risk stratification of cardiac dysfunctions from automatic analysis of multilead ECG, including:

  1. Automatic ECG wave delineation and characterization
  2. the detection and monitoring of cardiac ischemia
  3. Repolarization alternans detection, as an arrhythmic risk indicator
  4. Study of the relationship between repolarization duration (QT interval) and the heart rhythm, together with their dynamic interactions, as an arrhythmic risk indicator.

Investigator in charge: Pablo Laguna

– Projects

  •  Project 1

Title:  QT-bed: Evaluation of changes in ventricular repolarization and its relationship with heart rate during bed-rest experiments.

Funding agency: ESA2 ref. AO-09-BR

Dates: 2012 – 2013.

Principal Investigator: Pablo Laguna.

Description: This project focuses on the study of the cardiac deconditioning as result of simulated microgravity during head down bed-rest experiments. The objective is to quantify if the standard arrhythmia risk markers from surface ECG suffer significant modifications as results of the HDBR experiment. Those markers include alternas, QT/RR dynamics, etc.

  •  Project 2

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

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.

– Technologies and targeting sectors

  •  Technology 1

Signal processing software for automatic ECG detection and delineation.

Targeting sector: Biomedical Engineering companies

  •  Technology 2

Arrhythmia risk marker extraction form ECG to quantify arrhythmia risk.

Targeting sector: Biomedical Engineering companies

– Patents and technology transfer

  •  Case 1

Technology transfer agreement with Cradiacmarker company to transfer the repolarization  alternans detection technology.

  •  Case 2

Technology transfer agreement with CardioLund Company to develop a web based site for remote ECG signal analysis services.

– 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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