Paper Info
Title
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization
Abstract
This study proposes a six-step approach to analyze ongoing EEG elicited by 512-second long natural music (modern tango). The spectrogram of the ongoing EEG was first produced, and then a fourth-order tensor including the spectrograms of multiple channels of multiple participants was decomposed via nonnegative tensor factorization (NTF) into four factors, including temporal, spectral and spatial components, and multi-domain features of all participants. We found one extracted temporal component by NTF significantly (p <; 0.01) correlated with the temporal course of a long-term music feature, `fluctuation centroid' moreover, the power of posterior alpha activity was found to be associated with this temporal component. Hence, it looks promising to apply the proposed method for analyzing other ongoing EEG elicited by other natural stimuli.
Year
Venue
Keywords
2012
EUSIPCO
natural music stimuli,music,electroencephalography,spectrogram,ongoing eeg analysis,nonnegative tensor factorization,medical signal processing,fluctuation centroid,long-term music feature,ongoing,six-step approach,acoustic signal processing,matrix decomposition,multiple channel spectrograms,ntf,time 512 s,eeg,tensors,posterior alpha activity,fourth-order tensor
Field
DocType
ISSN
Tensor,Nonnegative tensor factorization,Spectrogram,Matrix decomposition,Speech recognition,Natural (music),Stimulus (physiology),Electroencephalography,Centroid,Mathematics
Conference
2219-5491
ISBN
Citations 
PageRank 
978-1-4673-1068-0
2
0.41
References 
Authors
7
10
Name
Order
Citations
PageRank
Fengyu Cong115124.72
Anh Huy Phan282851.60
Qibin Zhao390568.65
Asoke K. Nandi494795.46
Vinoo Alluri5686.07
Petri Toiviainen647037.54
Hanna Poikonen7101.20
Minna Huotilainen8325.16
Andrzej Cichocki95228508.42
Tapani Ristaniemi1052276.89