EHG Signal Analysis for Prediction of Term and Preterm using Variational Mode Decomposition and Artificial Neural Networks

Author:

Umar Khan Muhammad1,Aziz Sumair1,Iqtidar Khushbakht2,Fernandez Rojas Raul3

Affiliation:

1. University of Engineering and Technology Taxila,Department of Electronics Engineering,Taxila,Pakistan

2. National University of Sciences and Technology,Department of Computer Software Engineering,Islamabad,Pakistan

3. University of Canberra,Faculty of Science & Technology,Canberra,Australia

Publisher

IEEE

Cited by 4 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. Detection of Ophthalmic Disorders Through Deep Feature Fusion;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23

2. Preterm Birth Prediction using Machine Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

3. MobileNet-based Prediction of Preterm Births;2023 25th International Multitopic Conference (INMIC);2023-11-17

4. Intelligent Wearable Healthcare Monitoring Framework;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-09-07

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