Shypd.aiThe largest open index of AI toolsecg-classification is an open-source tool that provides code for training and testing machine learning classifiers on the MIT-BIH Arrhythmia Database. It uses Support Vector Machines (SVMs) for automatic ECG classification based on beat morphology and time intervals.
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ecg-classification is an open-source code repository designed for researchers and developers to train and test machine learning classifiers on the MIT-BIH Arrhythmia Database. The tool focuses on the automatic classification of electrocardiograms (ECG) by implementing a method that combines multiple Support Vector Machines (SVMs). It leverages time intervals between beats and their morphology for ECG characterization, incorporating various descriptors such as wavelets, local binary patterns (LBP), higher-order statistics (HOS), and amplitude values. The repository provides Python and Matlab implementations, with the Python version being the most updated. It details steps for data preprocessing, beat detection, feature extraction, normalization, and model training/testing, making it a comprehensive resource for ECG classification research.
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