Seizure detection using integrated metaheuristic algorithm based ensemble extreme learning machine Article Swipe

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Sreelekha Panda , Satyasis Mishra , Mihir Narayan Mohanty , Sunita Satapathy ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.measen.2022.100617

In biomedical research, the brain signal analysis occupies an important space in recent days. Mostly Epileptic seizure detection is a challenging task for all brain signal researcher. In this paper ensemble approach is considered for seizure classification and detection. It is essential of early detection for the patient to save the life. Initially Wavelet transform is used to extract the relevant features. As the feature dimension is high, features are reduced using linear discriminant analysis (LDA). The metaheuristic algorithms named as Water cycle algorithm and accelerated particle swarm optimization (APSO) are integrated to optimize the weights of ensemble extreme learning machine (EELM) for classification. The features are aligned as input to WCA-APSO based EELM model. To validate the proposed integrated algorithm three benchmark functions are utilized for optimization to exhibit the uniqueness. The data is taken from university of BONN database for experimentation. The performance is measured with the parameters like sensitivity, Specificity, and Accuracy are obtained as 99.32%, 99.68%, and 99.16%, The result found superior as compared to earlier methods and outperforms the classification of Epileptic seizure signals.

Related Topics

Particle Swarm Optimization

Computer Science

Extreme Learning Machine

Benchmark (Surveying)

Algorithm

Artificial Intelligence

Ensemble Learning

Machine Learning

Discrete Wavelet Transform

Electronic Engineering

Concepts

Particle swarm optimization Computer science Linear discriminant analysis Extreme learning machine Metaheuristic Benchmark (surveying) Algorithm Artificial intelligence Sensitivity (control systems) Pattern recognition (psychology) Ensemble learning Machine learning Dimension (graph theory) Discrete wavelet transform Wavelet transform Wavelet Mathematics Artificial neural network Engineering Geography Pure mathematics Geodesy Electronic engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.measen.2022.100617
OA Status: gold
Cited By: 8
References: 35
Related Works: 10
OpenAlex ID: https://openalex.org/W4312107432

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DOI: https://doi.org/10.1016/j.measen.2022.100617

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Title: Seizure detection using integrated metaheuristic algorithm based ensemble extreme learning machine

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-12-23

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Authors: Sreelekha Panda, Satyasis Mishra, Mihir Narayan Mohanty, Sunita Satapathy

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Landing page: https://doi.org/10.1016/j.measen.2022.100617

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Concepts: Particle swarm optimization, Computer science, Linear discriminant analysis, Extreme learning machine, Metaheuristic, Benchmark (surveying), Algorithm, Artificial intelligence, Sensitivity (control systems), Pattern recognition (psychology), Ensemble learning, Machine learning, Dimension (graph theory), Discrete wavelet transform, Wavelet transform, Wavelet, Mathematics, Artificial neural network, Engineering, Geography, Pure mathematics, Geodesy, Electronic engineering

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Cited by: 8

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Citations by year (recent): 2025: 4, 2024: 2, 2023: 2

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References (count): 35

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Related works (count): 10

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