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    DFA taxonomy for the classification of ECG data for effective health monitoring using ML technology by Parasapogu, Tejaswi, Seher, Indra, Mohmed Salah, Razwan, Alwan, Ali Amer

    Published 2021
    “…Data preprocessing, Feature extraction, and Activity classification (DFA) are the major components utilised for the implementation of Health monitoring system based on ECG data classification using ML technology. This system classifies recorded activities based on extracted ECG data using Hidden Markov Model (HMM) and Support Vector Machine (SVM) and is integrated with Internet of Medical Things (IoMT) in order to diagnose patient’s disease at early stages. …”
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    Proceeding Paper