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An Approach of Neural Network For Electrocardiogram Classification
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A Neural Network approach and Wavelet analysis for ECG classification
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ECG Signal Analysis Using Artificial Neural Network
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Análise de ECG no contexto de telemonitorização em insuficiência cardíaca
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Hilbert-Huang transform and neural networks for electrocardiogram modeling and prediction.
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Biomedical Science and Engineering,
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Hilbert-Huang transform and neural networks for electrocardiogram modeling and prediction
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A SURVEY PAPER ON FEATURE EXTRACTION TECH
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An approach for classifying ECG arrhythmias by feature extraction method
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IDENTIFICATION OF HEARTAL DISORDER USING BACK PROPAGATION
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P Sharma, R Bhilai, ML Kaur - rspublication.com,
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[1]
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Survey on arrhythmia classification of ECG signals
INTERNATIONAL CONFERENCE ON TRENDS IN CHEMICAL ENGINEERING 2021 (ICoTRiCE2021),
2022
DOI:10.1063/5.0113209
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[2]
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Ultra Low Power ECG Processing System for IoT Devices
Analog Circuits and Signal Processing,
2019
DOI:10.1007/978-3-319-97016-5_3
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[3]
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A Neural Network approach and Wavelet analysis for ECG classification
2016 IEEE International Conference on Engineering and Technology (ICETECH),
2016
DOI:10.1109/ICETECH.2016.7569428
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[4]
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A COMPREHENSIVE ANALYSIS FOR ECG
CLASSIFICATION USING WAVELET TRANSFORM
i-manager's Journal on Digital Signal Processing,
2016
DOI:10.26634/jdp.4.1.4858
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[5]
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Hilbert-Huang transform and neural networks for electrocardiogram modeling and prediction
2014 10th International Conference on Natural Computation (ICNC),
2014
DOI:10.1109/ICNC.2014.6975896
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