There was sufficient data to verify the primary endpoint

The aim is to create a database including recordings of ECG data recorded in an MRI acquisition

ECG monitoring is an essential tool during MRI, especially for cardiac MRI (CMR). Indeed, the system needs to synchronize the acquisitions on the cardiac cycles. To identify the cycle, the system is based on the ECG. Furthermore, patients having a CMR can be at risk of presenting cardiac rhythm troubles, and must be monitored with a trustable system.

The problem is that in MRI, a lot of artefacts occur, leading to dramatic disturbances of the signal. A lot of tools are used to try to remove the artefacts. The aim of this study is to create a database that can be used to test the different tools to remove the artefacts.

The investigators intend to include all types of ECG patterns that can exist, to allow to test the tools in all situations.

Inclusion Criteria:

• For all subjects:

  • To be more than 18
  • To be enroled in a social security plan
  • To have signed an informed consent
  • To have preliminary medical examination

• For the groups :

  • "normal ECG" group : sinus rhythm without conductive troubles. Normal pattern of the QRS
  • "conductive troubles group" : patients with typical right bundle branch block, or typical left bundle branch block pattern.
  • "rhythm trouble group" : patients with premature atrial beats or premature ventricular beats

Exclusion Criteria:

• Contraindication: implantable devices (cardiac stimulators, defibrillators, cochlear implants, etc.), metallic foreign bodies
• Impossibility to undergo MRI: claustrophobia, morbid obesity.
• Pregnancy or risk of pregnancy.
• Patients under a measure of legal protection