EEG Signal Denoising Using Hybridizing Method Between Wavelet Transform with Genetic Algorithm

Zaid Abdi Alkareem Alyasseri; Ahamad Tajudin Khader; Mohammed Azmi Al‐Betar; Ammar Kamal Abasi; Sharif Naser Makhadmeh

doi:10.1007/978-981-15-5281-6_31

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EEG Signal Denoising Using Hybridizing Method Between Wavelet Transform with Genetic Algorithm

Zaid Abdi Alkareem Alyasseri Ahamad Tajudin Khader Mohammed Azmi Al‐Betar Ammar Kamal Abasi Sharif Naser Makhadmeh

Year: 2020 Lecture notes in electrical engineering Pages: 449-469 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-15-5281-6_31

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Keywords:

Mean squared error Noise reduction SIGNAL (programming language) Electroencephalography Noise (video) Wavelet Algorithm Root mean square Pattern recognition (psychology) Genetic algorithm Computer science Signal-to-noise ratio (imaging) Mathematics Artificial intelligence Speech recognition Mathematical optimization Statistics Engineering

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

EEG Signal Denoising Using Hybridizing Method Between Wavelet Transform with Genetic Algorithm

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