Event-Driven ECG Classification using Functional Approximation and Chebyshev Polynomials
Author:
Affiliation:
1. University College Dublin,Ireland
2. Tallinn University of Technology,Estonia
3. Univ. Lille, CNRS, Centrale Lille, Junia, Univ. Polytechnique Hauts-de-France,UMR 8520-IEMN,France
Funder
Schlumberger Foundation
Irish Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948537/9948538/09948612.pdf?arnumber=9948612
Reference18 articles.
1. Detection of Cardiac Disease with Less Number of Electrocardiogram Sensor Samples Using Chebyshev
2. The impact of the MIT-BIH Arrhythmia Database
3. Functional data analysis;ramsay;Internet? Adresi http,2008
4. Event-Driven ECG Classification Using an Open-Source, LC-ADC Based Non-Uniformly Sampled Dataset
5. Smote for imbalanced classification with python;brownlee;Machine Learning Mastery,2020
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1. ECG Classification With Event-Driven Sampling;IEEE Access;2024
2. Application of Convolutional Neural Networks and Signal Processing Techniques to Identify and Filter Noise from ECG Signals;2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA);2023-06-29
3. Signal Reconstruction from Level Crossing ADC;2023 34th Irish Signals and Systems Conference (ISSC);2023-06-13
4. Accurate Reconstruction of ECG Signals using Chebyshev Polynomials;2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2022-10-24
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