Beat-to-beat analysis method for magnetocardiographic recordings during interventions.

Area of Science:

• Biomedical Engineering
• Cardiology
• Medical Physics

Background:

• Multichannel magnetocardiography (MCG) detects myocardial ischemia during exercise in coronary artery disease (CAD) patients.
• Previous studies utilized limited time intervals and data fragments from exercise MCG recovery periods.
• A comprehensive analysis of all available cardiac cycle data is needed.

Purpose of the Study:

• To present a novel beat-to-beat analysis and parametrization method for multichannel MCG signals.
• To enable the study and quantification of MCG changes induced by interventions.
• To test the method's efficacy in detecting exercise-induced myocardial ischemia.

Main Methods:

• Development of a beat-to-beat analysis and parametrization method for MCG signals.
• Application of the method to data from bicycle exercise testing in healthy volunteers and CAD patients.
• Utilization of all cardiac cycles during the MCG recovery period for signal analysis.

Main Results:

• The novel MCG analysis method successfully detected exercise-induced myocardial ischemia.
• Detection was achieved through heart rate adjustment of magnetic field map orientation changes.
• Both ST segment and T wave information in MCG provided insights into myocardial ischemia.

Conclusions:

• The presented method efficiently utilizes spatial and temporal properties of multichannel MCG mapping.
• This provides a new tool for detecting and quantifying fast phenomena in interventional MCG studies.
• The analysis method is suitable for on-line analysis of MCG data.