Investigating Cardiac Arrhythmia in ECG using Random Forest Classification-Reference-Cited by-同舟云学术

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Investigating Cardiac Arrhythmia in ECG using Random Forest Classification

Published:2012-01-28 Issue:4 Volume:37 Page:31-34
ISSN:0975-8887
Container-title:International Journal of Computer Applications
language:
Short-container-title:IJCA

Author:

Ganeshkumar R.,YSKumaraswamy Dr.

Publisher

Foundation of Computer Science

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based Arrhythmia Detection Using Convolutional Neural Network;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. Detecting Sinus Bradycardia From ECG Signals Using Signal Processing And Machine Learning;2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC);2024-02-05

3. ECG classification efficient modeling with artificial bee colony optimization data augmentation and attention mechanism;Mathematical Biosciences and Engineering;2024

4. A Literature Survey on Classification of Electrocardiogram(ECG) Abnormalities;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

5. Model for classification of heart failure severity in patients with hypertrophic cardiomyopathy using a deep neural network algorithm with a 12-lead electrocardiogram;Open Heart;2023-12

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