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OVME-REG: Harris hawks optimization algorithm based optimized variational mode extraction for eye blink artifact
Bommala Silpa1, Malaya Kumar Hota2
1Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Medical & Biological Engineering & Computing
|December 18, 2023
Summary
This study introduces an optimized Variational Mode Extraction (OVME) method, enhanced by metaheuristic algorithms, to effectively remove eye blink artifacts from electroencephalogram (EEG) recordings. The OVME-REG approach significantly improves artifact suppression while preserving crucial EEG data.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Electroencephalogram (EEG) recordings are vital for diagnosing brain conditions.
- Eye blink artifacts frequently contaminate EEG signals, leading to misinterpretations.
- Existing methods like Variational Mode Extraction (VME) show promise but require optimal parameter tuning.
Purpose of the Study:
- To develop an optimized VME (OVME) algorithm for accurate eye blink artifact detection in EEG.
- To enhance artifact removal by integrating regression analysis (REG) with OVME.
- To evaluate the efficacy of the proposed OVME-REG method on benchmark EEG datasets.
Main Methods:
- Utilized Particle Swarm Optimization and Harris Hawks Optimization to determine optimal VME parameters.
- Developed the Optimized Variational Mode Extraction (OVME) to isolate artifactual modes.
- Applied Regression Analysis (REG) to filter identified eye blink artifacts from EEG segments.
Main Results:
- The OVME-REG method demonstrated superior performance in suppressing single and repeated eye blink artifacts.
- Achieved high correlation coefficients (up to 93.08%) and high Structural Similarity Index (SSIM) (up to 0.892).
- Showcased low Root Mean Square Error (RMSE) values (as low as 0.379) and reduced computation time.
Conclusions:
- The proposed OVME-REG algorithm effectively optimizes VME parameters for robust eye blink artifact removal.
- This method offers improved accuracy and data preservation compared to existing techniques.
- The OVME-REG approach is a significant advancement for EEG signal quality enhancement.
