Výsledky vyhľadávania - random sampling-based artificial signal augmentation

Approach based on wavelet packet transform and 1D‐RMLBP for drowsiness detection using EEG

Autori: Ö.F. Alçin Malatya Turgut Özal University Institutional Repository

Prispievatelia: Ö.F. Alçin Malatya Turgut Özal University Institutional Repository

Zdroj: Electronics Letters. 56:1378-1381

Predmety: Logarithmic energy entropy, Extreme learning machine, Entropy, WPD, 0206 medical engineering, Medical signal detection, 1D-RMLBP, 02 engineering and technology, Wavelet packet transform decomposition, Wavelet transforms, Random sampling-based artificial signal augmentation, Polysomnographic EEG signals, 0202 electrical engineering, electronic engineering, information engineering, Nearest neighbour methods, Support vector machines, Drowsiness detection, Wearable technology, Electroencephalography, Support vector machine classifiers, Signal classification, One-dimensional region mean local binary pattern based feature extraction, MIT-BIH polysomnographic dataset, Camera-based biophysical signals, Medical signal processing, k-nearest neighbour classifier, Feature extraction, Vehicle alertness system

Popis súboru: application/pdf

Prístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/el.2020.2668
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/el.2020.2668
https://digital-library.theiet.org/content/journals/10.1049/el.2020.2668
http://ui.adsabs.harvard.edu/abs/2020ElL....56.1378A/abstract

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Approach based on wavelet packet transform and 1D-RMLBP for drowsiness detection using EEG.

Autori: Alçin, Ö. F.

Zdroj: Electronics Letters (Wiley-Blackwell); 12/10/2020, Vol. 56 Issue 25, p1378-1381, 3p

Predmety: WAVELET transforms, DROWSINESS, ELECTROENCEPHALOGRAPHY, SUPPORT vector machines, FEATURE extraction, WEARABLE technology

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