Efficient Patient Independent Seizure Detection System using WAF based Hybrid Feature Extraction Method and XGBoost classifier
Author:
Affiliation:
1. Netaji Subhas University of Technology,Department Instrumentation and Control Engineering,New Delhi,India
2. Bauman Moscow State Technical University, FRC CSC RAS,Higher Mathematics Department,Moscow,Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9752769/9752688/09753599.pdf?arnumber=9753599
Reference18 articles.
1. Recognition of ECG signals using wavelet based on atomic functions
2. An end to end of scalable tree boosting system;chen;Sylwan,2020
3. Improved Patient-Independent Seizure Detection System Using Novel Feature Extraction Techniques
4. Principal Components Biplots and Alpha and Beta Diversity
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4. Improved Patient-Independent Seizure Detection Using Hybrid Feature Extraction Approach with Atomic Function-Based Wavelets;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2023-07-21
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