Karimoi et al., 2014 - Google Patents
EEG signal classification using Bayes and Naïve Bayes Classifiers and extracted features of Continuous Wavelet TransformKarimoi et al., 2014
View PDF- Document ID
- 2225315417130689446
- Author
- Karimoi R
- Khalilzadeh M
- Hossinezadeh A
- Karimoi A
- Publication year
- Publication venue
- Majlesi Journal of Multimedia Processing
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Snippet
ABSTRACT in this paper, we recommend a method of the signal processing for analyzing EEG. To this end,, the signal using the continuous wavelet transform (CWT) is decomposed into dominant scales and a set of statistical features is extracted from these scales, which …
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- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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