Surrogate-Based Artifact Removal From Single-Channel EEG

Objective: the recent emergence and success of electroencephalography (EEG) in low-cost portable devices, has opened the door to a new generation of applications processing a small number of EEG channels for health monitoring and brain-computer interfacing. These recordings are, however, contaminate...

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Vydáno v:	IEEE transactions on neural systems and rehabilitation engineering Ročník 26; číslo 3; s. 540 - 550
Hlavní autoři:	Chavez, M., Grosselin, F., Bussalb, A., De Vico Fallani, F., Navarro-Sune, X.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.03.2018 IEEE Institute of Electrical and Electronics Engineers
Témata:	Algorithm design and analysis Algorithms Artifact removal Bioengineering Brain-Computer Interfaces Computer Science Correlation Databases, Factual Electroencephalography electroencephalography (EEG) Electroencephalography - methods Electroencephalography - statistics & numerical data Electromyography Eye Movements Humans Life Sciences Monitoring Movement Muscle, Skeletal Neurons and Cognition Signal and Image Processing Signal Processing, Computer-Assisted Signal-To-Noise Ratio single-channel EEG surrogate data Time series analysis Wavelet Analysis wavelet decomposition Wavelet transforms single-channel EEG Artifact removal electroencephalography wavelet decomposition surrogate data EEG
ISSN:	1534-4320, 1558-0210, 1558-0210
On-line přístup:	Získat plný text
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