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Magnetocardiography

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Genetic algorithms for dipole location of fetal magnetocardiography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 28268470
In this paper, we explore the use of Maximum Likelihood (ML) method with Genetic Algorithms (GA) as global optimization procedure for source reconstruction in fetal magnetocardiography (fMCG) data. A multiple equivalent current dipole (ECD) model was...
Adult Algorithms Female Fetal Monitoring Heart Humans Likelihood Functions Magnetocardiography Pregnancy Signal-To-Noise Ratio
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Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.

IEEE transactions on bio-medical engineering 30369432
OBJECTIVE: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology.
Adult Coronary Stenosis Diagnosis, Computer-Assisted Heart Humans Machine Learning Magnetocardiography Male Myocardial Ischemia Signal Processing, Computer-Assisted Support Vector Machine
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The role of beat-by-beat cardiac features in machine learning classification of ischemic heart disease (IHD) in magnetocardiogram (MCG).

Biomedical physics & engineering express 38640907
Cardiac electrical changes associated with ischemic heart disease (IHD) are subtle and could be detected even in rest condition in magnetocardiography (MCG) which measures weak cardiac magnetic fields. Cardiac features that are derived from MCG recor...
Adult Aged Algorithms Case-Control Studies Electrocardiography Female Heart Heart Rate Humans Machine Learning Magnetocardiography Male Middle Aged Myocardial Ischemia Reproducibility of Results Signal Processing, Computer-Assisted
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Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.

Computer methods and programs in biomedicine 40253808
BACKGROUND AND OBJECTIVE: The objective of this study was to develop an automated, accurate method of assessing coronary artery disease (CAD), including its severity and location, using deep-mining-based magnetocardiography (MCG) pattern features.
Algorithms Coronary Artery Disease Data Mining Deep Learning Female Humans Machine Learning Magnetocardiography Male Middle Aged ROC Curve Severity of Illness Index
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