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Magnetocardiography

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Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.

Computer methods and programs in biomedicine Apr 2, 2025
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.
Humans Machine Learning Algorithms Female Male Middle Aged Severity of Illness Index Deep Learning ROC Curve Coronary Artery Disease Data Mining Magnetocardiography
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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 May 7, 2024
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...
Humans Machine Learning Algorithms Female Reproducibility of Results Aged Adult Male Middle Aged Case-Control Studies Electrocardiography Signal Processing, Computer-Assisted Heart Heart Rate Myocardial Ischemia Magnetocardiography
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Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.

IEEE transactions on bio-medical engineering Oct 23, 2018
OBJECTIVE: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology.
Humans Machine Learning Adult Male Diagnosis, Computer-Assisted Support Vector Machine Signal Processing, Computer-Assisted Heart Myocardial Ischemia Magnetocardiography Coronary Stenosis
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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 Aug 1, 2016
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...
Humans Algorithms Pregnancy Female Adult Heart Signal-To-Noise Ratio Likelihood Functions Fetal Monitoring Magnetocardiography
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