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Klasifikasi Sinyal Elektroensefalografi Menggunakan Metode K-Nearest…
Klasifikasi Sinyal Elektroensefalografi Menggunakan Metode K-Nearest Neighbor untuk Gerakan Terapi Pasca-Stroke
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BAB II
Ekstraksi Fitur
- Methods of EEG Signal Features Extraction Using Linear Analysis in Frequency and Time-Frequency Domains.
- Time-Frequency Analysis of EEG Signals.
Klasifikasi
- Performance Analysis of Left/Right Hand Movement Classification from EEG Signal by Intelligent Algorithms.
- A Review of Classification Algorithms for EEG-based Brain Computer Interfaces.
- Online Classification of Imagined Hand Movement Using a Consumer Grade EEG Device.
Umum
- Wavelet Transform Use for Feature Extraction and EEG Signal Segments Classification.
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- A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces.
BAB IV
- Alat dan Bahan Penelitian
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