Post-Doctoral Research Visit F/M Experimental study of electrical impedance tomography in the context of electrocardiography

Contract type : Fixed-term contract

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit

Level of experience : From 3 to 5 years

About the research centre or Inria department

The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute...

Context

The project context revolves around the detection of cardiac arrhythmias, specifically ventricular fibrillation, which is responsible for the vast majority of the 350,000 sudden cardiac deaths occurring annually in Europe. One of the most promising recent approaches to detecting these cardiac rhythm disorders is electrocardiographic imaging (ECGi), currently under study at IHU-Liryc. It is a non-invasive imaging technique that reconstructs the heart's electrical activity based on electrical measurements taken on the patient's chest using a vest adorned with numerous electrodes, commonly referred to as the "vest." However, current ECGi resolution techniques do not allow for sufficiently accurate reconstruction of cardiac electrical activity for complex clinical cases. In particular, it is widely accepted that uncertainties in organ and chest movement, as well as inter-individual variations in tissue conductivities, play a role in the loss of ECGi precision.

 

To improve ECGi resolution, it is therefore necessary to propose more comprehensive descriptions of electrical properties within the chest volume and enhance the information obtained from measurements on the vest. We propose using Electrical Impedance Tomography (EIT) for this purpose: it is a non-invasive technique for reconstructing internal conductivities as well as shapes. Although currently commonly used for medical purposes, it has not yet been applied to the detection of cardiac rhythm disorders. The objective of this project is to validate EIT resolution methods through experiments conducted at IHU-Liryc, using an experimental setup developed there for ECGi.

Assignment

The postdoc will be supervised by Laura Bear, a researcher in the Signal Processing team at IHU-Liryc and Lisl Weynans. He/she will work directly with Laura Bear, and in this context, will aid in experimental preparations in the laboratory, develop the signal processing pipelines to process raw data, evaluate available EIT methods to determine organ conductivities and position within the torso. In a second stage, the post-doc will help develop and validate experimentally a coupled EIT-ECGI approach to reconstruct cardiac electrical activity, and in doing so identify the key parameters of influence on the electrical propagation within the torso.

 

 

Main activities

Signal processing, experimental studies, potentially modeling

Skills

 

Knowledges: Basic knowledge of any of the following would be a plus: impedance spectroscopy, finite element models, model fitting, cardiac electrophysiology, inverse problems

Expertise, know how: Programming in MATLAB and basic signal processing

Soft skills:  teamwork, communication

Benefits package

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of partial teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities

Remuneration

grossly remuneration (before deduction of social contributions and income tax ) : 2788€ / month