Underdetermined Blind Source Separation of Temporomandibular Joint Sounds

Author

Clive Cheong Took ; Sanei, S. ; Chambers, J. ; Dunne, S.

Author_Institution

Sch. of Eng., Cardiff Univ.

Volume

53

Issue

10

fYear

2006

Firstpage

2123

Lastpage

2126

Abstract

The underdetermined blind source separation problem using a filtering approach is addressed. An extension of the FastICA algorithm is devised which exploits the disparity in the kurtoses of the underlying sources to estimate the mixing matrix and thereafter achieves source recovery by employing the lscr 1-norm algorithm. Besides, we demonstrate how promising FastICA can be to extract the sources. Furthermore, we illustrate how this scenario is particularly appropriate for the separation of temporomandibular joint (TMJ) sounds

Keywords

bioacoustics; biological tissues; blind source separation; independent component analysis; medical signal processing; FastICA algorithm; filtering approach; lscr1-norm algorithm; mixing matrix estimate; source recovery; temporomandibular joint sounds; underdetermined blind source separation; Acoustic noise; Additive noise; Biomedical engineering; Blind source separation; Filtering; Independent component analysis; Signal detection; Signal generators; Source separation; Sparse matrices; Filtering; negentropy; nongaussianity; sparsity; Algorithms; Auscultation; Diagnosis, Computer-Assisted; Humans; Sound; Sound Spectrography; Temporomandibular Joint; Temporomandibular Joint Disorders;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.881789

Filename

1703766