Jurnal SINTA 1
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Journal of Robotics and Control (JRC) · Vol. 5 No. 1 (2024) · hlm. 187–204
- ISSN
- 2715-5072, 2715-5056
- Terbit
- 2024-01-25
- Penerbit
- Universitas Muhammadiyah Yogyakarta
- Bahasa
- eng
Abstrak
Epileptic seizures, unpredictable in nature and potentially dangerous during activities like driving, pose significant risks to individual and public safety. Traditional diagnostic methods, which involve labour-intensive manual feature extraction from Electroencephalography (EEG) data, are being supplanted by automated deep learning frameworks. This paper introduces an automated epileptic seizure detection framework utilizing deep learning to bypass manual feature extraction. Our framework incorporates detailed pre-processing techniques: normalization via L2 normalization, filtering with an 80 Hz and 0,5 Hz Butterworth low-pass and high-pass filter, and a 50 Hz IIR Notch filter, channel selection based on standard deviation calculations and Mutual Information algorithm, and frequency domain transformation using FFT or STFT with Hann windows and 50% hop. We evaluated on two datasets: the first comprising 4 canines and 8 patients with 2.299 ictal, 23.445 interictal, and 32.915 test data, 400-5000Hz sampling rate across 16-72 channels; the second dataset, intended for testing, 733 icatal, 4.314 interictal, and 1908 test data, each 10 minutes long, recorded at 400Hz across 16 channels. Three deep learning architectures were assessed: CNN, LSTM, and a hybrid CNN-LSTM model-stems from their demonstrated efficacy in handling the complex nature of EEG data. Each model offers unique strengths, with the CNN excelling in spatial feature extraction, LSTM in temporal dynamics, and the hybrid model combining these advantages. The CNN model, comprising 31 layers, yielded highest accuracy, achieving 91% on the first dataset (precision 92%, recall 91%, F1-score 91%) and 82% on the second dataset using a 30-second threshold. This threshold was chosen for its clinical relevance. The research advances epileptic seizure detection using deep learning, indicating a promising direction for future medical technology. Future work will focus on expanding dataset diversity and refining methodologies to build upon these foundational results.
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40 penulis · 106 tautan kepenulisan bersama · 46 lintas organisasi · menampilkan 40 yang paling banyak terhubung
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- State University of Malang
- Institut Sains dan Teknologi Terpadu Surabaya
- Universiti Teknikal Malaysia Melaka
- Institut Teknologi Sepuluh Nopember
- Universitas Ahmad Dahlan
- University of Brawijaya
- Universitas Airlangga
- Organisasi lain
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
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Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Denis Eka Cahyani | State University of Malang | 2 |
| Langlang Gumilar | State University of Malang | 2 |
| Arif Nur Afandi | State University of Malang | 2 |
| Riri Nada Devita | State University of Malang | 1 |
| Heru Wahyu Herwanto | State University of Malang | 1 |
| Anik Nur Handayani | State University of Malang | 1 |
| Resty Wulanningrum | State University of Malang | 1 |
| Wayan Firdaus Mahmudy | University of Brawijaya | 1 |
| Nadia Roosmalita Sari | University of Brawijaya | 1 |
| Elta Sonalitha | Universitas Merdeka Malang | 1 |
| Chastine Fatichah | Institut Teknologi Sepuluh Nopember | 1 |
| Darlis Herumurti | Institut Teknologi Sepuluh Nopember | 1 |
| Nur Nafi’iyah | Institut Teknologi Sepuluh Nopember | 1 |
| Eha Renwi Astuti | Universitas Airlangga | 1 |
| Ramadhan Hardani Putra | Universitas Airlangga | 1 |
| Esa Prakasa | National Research and Innovation Agency | 1 |
| Andrew Nafalski | University of South Australia | 1 |
| Didik Dwi Prasetya | State University of Malang | 1 |
| Ahmad Kadri Junoh | Universiti Malaysia Perlis | 1 |
| Rully Charitas Indra Prahmana | Universitas Ahmad Dahlan | 1 |
| Tri Sutanti | Universitas Ahmad Dahlan | 1 |
| Ahmad Muhammad Diponegoro | Universitas Ahmad Dahlan | 1 |
| Kenny Vincent | Institut Sains dan Teknologi Terpadu Surabaya | 1 |
| Lizawati Binti Salahuddin | Universiti Teknikal Malaysia Melaka | 1 |
| Ummi Raba’ah Hashim | Afiliasi tidak diketahui | 1 |
| Kasturi Kanchymalay | Universiti Teknikal Malaysia Melaka | 1 |
| Martina Ali | Universiti Teknikal Malaysia Melaka | 1 |
| Rahillda Nadhirah Norizzaty Rahiddin | Universiti Teknikal Malaysia Melaka | 1 |
| Hakkun Elmusyah | Afiliasi tidak diketahui | 1 |
| Setyorini Setyorini | State University of Malang | 1 |
| Aripriharta Aripriharta | State University of Malang | 1 |
| Sujito Sujito | State University of Malang | 1 |
| Yuni Rahmawati | State University of Malang | 1 |
| Gregorius Paulus Mario Laka Kaki | State University of Malang | 1 |
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