What is it about?
Thework compares the diagnostic outcomes of the machine learning classifiers when the conventional signal-averaged MCG features and those acheived using the inter-beat cardiac features on measured MCG and data taken from publicly available ECG MI databases.
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Why is it important?
The work empahsises the importance of preserving inter-beat cardiac features since they carry valuable diagnostic importance on an evolving IHD.
Perspectives
Beat-by-beat fetaures carry diagnostic fetaures.
Sengottuvel Senthilnathan
Indira Gandhi Center for Atomic Research, Kalpakkam, TN, India
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This page is a summary of: 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 2024, Institute of Physics Publishing,
DOI: 10.1088/2057-1976/ad40b1.
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