Common Spatial Pattern in Frequency Domain for Feature Extraction and Classification of Multichannel EEG Signals

Pritom Kumar Saha; Md. Asadur Rahman; Mohammad Khurshed Alam; Asma Ferdowsi; Md. Nurunnabi Mollah

doi:10.1007/s42979-021-00586-9

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Common Spatial Pattern in Frequency Domain for Feature Extraction and Classification of Multichannel EEG Signals

Pritom Kumar Saha Md. Asadur Rahman Mohammad Khurshed Alam Asma Ferdowsi Md. Nurunnabi Mollah

Year: 2021 Journal: SN Computer Science Vol: 2 (3) Publisher: Springer Nature

DOI: 10.1007/s42979-021-00586-9

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Keywords:

Pattern recognition (psychology) Computer science Feature extraction Artificial intelligence Discriminative model Electroencephalography Frequency domain Feature (linguistics) SIGNAL (programming language) Brain–computer interface Time domain Motor imagery Speech recognition Computer vision

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Common Spatial Pattern in Frequency Domain for Feature Extraction and Classification of Multichannel EEG Signals

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