Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting

Güneş Ekim; Nuri İkizler

doi:10.17798/bitlisfen.1831933

Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting

Abstract

Epileptic seizures are characterized by abnormal neuronal discharges that generate distinctive patterns in EEG signals, requiring accurate and fast detection for clinical decision support. This study proposes a high-resolution spectral approach that integrates the Multiple Signal Classification (MUSIC) algorithm with cross-correlation-based feature extraction for automated seizure detection. High-resolution spectral estimates of reference EEG signals and individual segments were obtained using the MUSIC algorithm, and six correlation-driven statistical features were computed to capture both spectral similarity and phase relationships. These features were classified using Random Forest, k-Nearest Neighbor, Multilayer Perceptron, and an Ensemble Learning-Voting model. Experiments were conducted on the Bonn University EEG dataset across 14 binary and multi-class tasks. The Ensemble Learning-Voting classifier achieved the best overall performance with an average accuracy of 99.17%, outperforming individual classifiers. The proposed methodology provides high frequency resolution, low computational cost, and robust classification capability, demonstrating strong potential for real-time epileptic seizure detection and integration into clinical EEG monitoring systems.

Keywords

Ethical Statement

The study is complied with research and publication ethics.

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Details

Primary Language

English

Subjects

Biomedical Engineering (Other)

Journal Section

Research Article

Authors

Güneş Ekim ^*
0000-0003-4867-3100
Türkiye

Nuri İkizler
0000-0002-7632-1973
Türkiye

Publication Date

March 24, 2026

Submission Date

November 28, 2025

Acceptance Date

January 23, 2026

Published in Issue

Year 2026 Volume: 15 Number: 1

DOI

https://doi.org/10.17798/bitlisfen.1831933

IZ

https://izlik.org/JA26HP25LK

Cite

RIS / Bibtex

APA

Ekim, G., & İkizler, N. (2026). Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 15(1), 423-437. https://doi.org/10.17798/bitlisfen.1831933

AMA

1.Ekim G, İkizler N. Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026;15(1):423-437. doi:10.17798/bitlisfen.1831933

Chicago

Ekim, Güneş, and Nuri İkizler. 2026. “Automatic Epileptic Seizure Detection With MUSIC and Cross-Correlation Methods: Performance Enhancement With Ensemble Learning-Voting”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15 (1): 423-37. https://doi.org/10.17798/bitlisfen.1831933.

EndNote

Ekim G, İkizler N (March 1, 2026) Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15 1 423–437.

IEEE

[1]G. Ekim and N. İkizler, “Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 1, pp. 423–437, Mar. 2026, doi: 10.17798/bitlisfen.1831933.

ISNAD

Ekim, Güneş - İkizler, Nuri. “Automatic Epileptic Seizure Detection With MUSIC and Cross-Correlation Methods: Performance Enhancement With Ensemble Learning-Voting”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15/1 (March 1, 2026): 423-437. https://doi.org/10.17798/bitlisfen.1831933.

JAMA

1.Ekim G, İkizler N. Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026;15:423–437.

MLA

Ekim, Güneş, and Nuri İkizler. “Automatic Epileptic Seizure Detection With MUSIC and Cross-Correlation Methods: Performance Enhancement With Ensemble Learning-Voting”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 1, Mar. 2026, pp. 423-37, doi:10.17798/bitlisfen.1831933.

Vancouver

1.Güneş Ekim, Nuri İkizler. Automatic Epileptic Seizure Detection with MUSIC and Cross-Correlation Methods: Performance Enhancement with Ensemble Learning-Voting. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026 Mar. 1;15(1):423-37. doi:10.17798/bitlisfen.1831933