Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform

Sachin Taran; Varun Bajaj

doi:10.1007/s00521-018-3531-0

ScienceGate Book Chapters

JOURNAL ARTICLE

Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform

Sachin Taran Varun Bajaj

Year: 2018 Journal: Neural Computing and Applications Vol: 31 (11)Pages: 6925-6932 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-018-3531-0

Get Full-Text PDF Get Analytical Report

Keywords:

Brain–computer interface Motor imagery Computer science Electroencephalography Feature extraction Artificial intelligence Support vector machine Classifier (UML) Wavelet transform Pattern recognition (psychology) Interface (matter) Wavelet Speech recognition

Metrics

Cited By

7.09

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Neuroscience and Neural Engineering

Life Sciences → Neuroscience → Cellular and Molecular Neuroscience

Motor imagery tasks-based EEG signals classification using tunable-Q wavelet transform

Metrics

Citation History

Topics

Related Documents

Motor imagery ECoG signals classification using wavelet transform features

Classification of motor-imagery tasks from EEG signals using the rational dilation wavelet transform

Classification of epileptic electroencephalogram signals using tunable-Q wavelet transform based filter-bank

Emotion classification using EEG signals based on tunable‐ Q wavelet transform

Classification of cardiac sound signals using constrained tunable-Q wavelet transform