Description: An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features.
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GMM-Code\Chernoff.m
GMM-Code\GMM\Cluster_Covaiance.m
GMM-Code\GMM\Cluster_Covariance.m
GMM-Code\GMM\Cluster_Probability.m
GMM-Code\GMM\Compute_Mean_for_Cluster.m
GMM-Code\GMM\GMM.m
GMM-Code\GMM\Mixing_Coefficient.m
GMM-Code\GMM\Probability_of_Cluster_given_X.m
GMM-Code\GMM\Probability_of_X.m
GMM-Code\main1.m
GMM-Code\main2.m
GMM-Code\Other functions\Bhattacharyya.m
GMM-Code\Other functions\fuzzy_k_means.m
GMM-Code\Other functions\k_means.m
GMM-Code\Other functions\PNN.m
GMM-Code\pca_feature_reduction.m
GMM-Code\total.xlsx
GMM-Code\GMM
GMM-Code\Other functions
GMM-Code
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