O'zbekcha
English
Русский
LARGE VOLUME ECG SENSOR DATA CLASSIFICATION AND ASSOCIATION RULES
Maqola haqida umumiy ma'lumotlar
This paper explores the classification of large volumes of electrocardiogram (ECG) sensor data using machine learning techniques. The aim is to develop an accurate and efficient system for categorizing ECG signals into different classes based on their features. Furthermore, the study investigates the use of association rules to uncover patterns and relationships between different ECG classes. The proposed system utilizes various algorithms and techniques, including decision trees, support vector machines, and random forests, to classify ECG data. The results indicate that the proposed system achieves high accuracy and can effectively classify large volumes of ECG data. Additionally, the use of association rules provides valuable insights into the relationships between different ECG classes, which can aid in the diagnosis and treatment of cardiovascular diseases.
- 2022 Heart Disease & Stroke Statistical Update Fact Sheet Global Burden of Disease. American Heart Association, Inc.
- Themis P. Exarchos, Costas Papaloukas, Dimitrios I. Fotiadis, Lampros K. Michalis. “An Association Rule Mining-Based Methodology for Automated Detection of Ischemic ECG Beats”. IEEE Transactions On Biomedical Engineering, vol. 53, no. 8, August 2006.
- T. Stamkopoulos, K. Diamantaras, N. Maglaveras, and M. Strintzis, “ECG analysis using nonlinear PCA neural networks for ischemia detection,” IEEE Trans. Signal Process., vol. 46, no. 11, pp. 3058–3067, Nov. 1998.
- Tanis Mar, Student Member, IEEE, Sebastian Zaunseder, Juan Pablo Martı́nez, Mariano Llamedo, and Rüdiger Poll. “Optimization of ECG Classification by Means of Feature Selection”. IEEE Transactions On Biomedical Engineering, vol. 58, no. 8, August 2011.
- Muhammad Zubair, Jinsul Kim, Changwoo Yoon. “An Automated ECG Beat Classification System Using Convolutional Neural Networks” 2016.
Khujaev, O. K., & Jumanazarov, A. D. (2023). LARGE VOLUME ECG SENSOR DATA CLASSIFICATION AND ASSOCIATION RULES. Academic Research in Educational Sciences, 4(4), 410–416. https://doi.org/
Khujaev, Otabek, and Azizbek Jumanazarov,. “LARGE VOLUME ECG SENSOR DATA CLASSIFICATION AND ASSOCIATION RULES.” Academic Research in Educational Sciences, vol. 4, no. 4, 2023, pp. 410–416, https://doi.org/.
Khujaev, K. and Jumanazarov, D. 2023. LARGE VOLUME ECG SENSOR DATA CLASSIFICATION AND ASSOCIATION RULES. Academic Research in Educational Sciences. 4(4), pp.410–416.