Underdetermined blind source separation of temporomandibular joint sounds.

Clive Cheong Took, Saeid Sanei, Jonathon Chambers, Stephen Dunne
Author Information
  1. Clive Cheong Took: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK. cheongc@cf.ac.uk

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 ll-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.

MeSH Term

Algorithms
Auscultation
Diagnosis, Computer-Assisted
Humans
Sound
Sound Spectrography
Temporomandibular Joint
Temporomandibular Joint Disorders

Word Cloud

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