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Beat-to-beat analysis method for magnetocardiographic recordings during interventions
P Takala1, H Hänninen, J Montonen
1Laboratory of Biomedical Engineering, Helsinki University of Technology, Finland. panu.takala@hut.fi
Insights
This study introduces a novel beat-to-beat analysis for multichannel magnetocardiography (MCG) during exercise. The method fully utilizes cardiac cycle data to detect exercise-induced myocardial ischemia in coronary artery disease patients.
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.
Abstract:
Multichannel magnetocardiography (MCG) during exercise testing has been shown to detect myocardial ischaemia in patients with coronary artery disease. Previous studies on exercise MCG have focused on one or few time intervals during the recovery period and only a fragment of the data available has been utilized. We present a method for beat-to-beat analysis and parametrization of the MCG signal. The method can be used for studying and quantifying the changes induced in the MCG by interventions. We test the method with data recorded in bicycle exercise testing in healthy volunteers and patients with coronary artery disease. Information in all cardiac cycles recorded during the recovery period of exercise MCG testing is, for the first time, utilized in the signal analysis. Exercise-induced myocardial ischaemia was detected by heart rate adjustment of change in magnetic field map orientation. In addition to the ST segment, the T wave in the MCG was also found to provide information related to myocardial ischaemia. The method of analysis efficiently utilizes the spatial and temporal properties of multichannel MCG mapping, providing a new tool for detecting and quantifying fast phenomena during interventional MCG studies. The method can also be applied to an on-line analysis of MCG data.