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      Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings

      , , , , , ,
      Physiological Measurement
      IOP Publishing

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          Abstract

          <p class="first" id="d3807059e89">We aim to combine deep neural networks and engineered features (hand-crafted features based on medical domain knowledge) for cardiac arrhythmia detection from short single-lead ECG recordings. </p>

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          Deep Residual Learning for Image Recognition

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            XGBoost

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              Identity Mappings in Deep Residual Networks

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                Author and article information

                Journal
                Physiological Measurement
                Physiol. Meas.
                IOP Publishing
                1361-6579
                May 01 2019
                June 04 2019
                : 40
                : 5
                : 054009
                Article
                10.1088/1361-6579/ab15a2
                30943458
                1e0bdee0-39c9-430f-974a-b53e3cc53552
                © 2019

                http://iopscience.iop.org/info/page/text-and-data-mining

                http://iopscience.iop.org/page/copyright

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