Blind separation of temporomandibular joint sound signals

Author

Guo, Y. ; Sattaj, F. ; Koh, C.

Author_Institution

Sch. of Mech. & Production Eng., Nanyang Technol. Inst., Singapore

Volume

2

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1069

Abstract

In order to develop a cheap, efficient and reliable diagnostic tool for the detection of temporomandibular joint disorders (TMD), sounds from the temporomandibular joint (TMJ) are recorded using a pair of microphone inserted in the auditory canals. However, the TMJ sounds originating from one side of the head can also be picked up by a microphone at the other side. Blind source separation (BSS) is thus proposed as a method to recover the original sound. The authors propose to use non-casual filters for the separation of TMJ signals. The algorithm is based on information theory and is an extension of early work by Torkkola (see IEEE workshop on Neural Networks for Signal Processing, Kyoto, Japan, 1996). The separation was successful and the output can now be used for subsequent analysis of TMJ sounds

Keywords

acoustic signal processing; audio signal processing; diseases; filtering theory; medical diagnostic computing; medical signal processing; orthopaedics; auditory canals; blind separation; head; information theory; microphone; noncasual filters; original sound recovery; reliable diagnostic tool; temporomandibular joint disorders; temporomandibular joint sound signals; Blind source separation; Conferences; Filters; Information theory; Irrigation; Magnetic heads; Microphones; Neural networks; Signal processing algorithms; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.759928

Filename

759928