Understanding perception of active noise control system through multichannel EEG analysis

Understanding perception of active noise control system through multichannel EEG analysis

In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal. The multichannel EEG signal is recorded during different listening conditions such as silent, music, noise, ANC with background noise...

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Bibliographic Details
Main Authors: Sangeeta Bagha, R.K. Tripathy, Pranati Nanda, C. Preetam, Debi Prasad Das
Format: Article
Language:English
Published: Wiley 2018-06-01
Series:Healthcare Technology Letters
Subjects:
electroencephalography
active noise control
discrete wavelet transforms
singular value decomposition
medical signal processing
signal classification
active noise control system
multichannel EEG analysis
ANC
electroencephalogram
silent listening condition
music
background noise
multiscale analysis
discrete wavelet transform
multivariate multiscale matrices
sub-band signals
multivariate matrices
singular value features
extreme learning machine classifier
activation functions
human brain
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0016

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https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0016

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