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Title: Fractional delay estimation for blind source separation and localization of temporomandibular joint sounds
Authors: Took, Clive Cheong
Sanei, Saeid
Rickard, Scott
Chambers, Jonathon
Dunne, Stephen
Keywords: Blind source separation
Fractional delay estimation
Temporomandibular joint sounds
Issue Date: 2008
Publisher: © IEEE
Citation: TOOK, C.C. ... et al., 2008. Fractional delay estimation for blind source separation and localization of temporomandibular joint sounds. IEEE Transactions on Biomedical Engineering, 55 (3), pp 949-946.
Abstract: Temporomandibular joint (TMJ) sound sources are generated from the two joints connecting the lower jaw to the temporal bone. Such sounds are important diagnostic signs in patients suffering from temporomandibular disorder (TMD). In this study, we address the problem of source separation of the TMJ sounds. In particular, we examine patients with only one TMJ generating “clicks.” Thereafter, we consider the TMJ sounds recorded from the two auditory canals as mixtures of clicks from the TMD joint and the noise produced by the other healthy/normal TMJ.We next exploit the statistical nonstationary nature of the TMJ signals by employing the degenerate unmixing estimation technique (DUET) algorithm, a time–frequency (T–F) approach to separate the sources. As the DUET algorithm requires the sensors to be closely spaced, which is not satisfied by our recording setup, we have to estimate the delay between the recorded TMJ sounds to perform an alignment of the mixtures. Thus, the proposed extension of DUET enables an essentially arbitrary separation of the sensors. It is also shown that DUET outperforms the convolutive Infomax algorithm in this particular TMJ source separation scenario. The spectra of both separated TMJ sources with our method are comparable to those available in existing literature. Examination of both spectra suggests that the click source has a better audible prominence than the healthy TMJ source. Furthermore, we address the problem of source localization. This can be achieved automatically by detecting the sign of our proposed mutual information estimator which exhibits a maximum at the delay between the two mixtures. As a result, the localized separated TMJ sources can be of great clinical value to dental specialists.
Description: This article was published in the journal IEEE Transactions on Biomedical Engineering [© IEEE] and is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/TBME.2007.909534
URI: https://dspace.lboro.ac.uk/2134/6021
ISSN: 0018-9294
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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