The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain

The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain

This project shows how an objective analysis of the TMJ sounds recorded from the microphone placed in the auditory tract can be achieved using the Time-Frequency (T-F) approach and, in particular, the Reduced Interference Distribution (RID). The theory of the T-F analysis is presented and choice of...

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Main Author: Ang, Beng Keong
Other Authors: Lim, Mong King
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Bioengineering
Online Access:http://hdl.handle.net/10356/5607
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-5607
record_format dspace
spelling sg-ntu-dr.10356-56072023-03-11T17:24:11Z The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain Ang, Beng Keong Lim, Mong King School of Mechanical and Production Engineering Koh, Christopher Kok Hwee DRNTU::Engineering::Bioengineering This project shows how an objective analysis of the TMJ sounds recorded from the microphone placed in the auditory tract can be achieved using the Time-Frequency (T-F) approach and, in particular, the Reduced Interference Distribution (RID). The theory of the T-F analysis is presented and choice of the Binomial kernel was discussed. Master of Engineering (MPE) 2008-09-17T10:54:50Z 2008-09-17T10:54:50Z 2000 2000 Thesis http://hdl.handle.net/10356/5607 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Ang, Beng Keong
The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
description This project shows how an objective analysis of the TMJ sounds recorded from the microphone placed in the auditory tract can be achieved using the Time-Frequency (T-F) approach and, in particular, the Reduced Interference Distribution (RID). The theory of the T-F analysis is presented and choice of the Binomial kernel was discussed.
author2 Lim, Mong King
author_facet Lim, Mong King
Ang, Beng Keong
format Theses and Dissertations
author Ang, Beng Keong
author_sort Ang, Beng Keong
title The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
title_short The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
title_full The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
title_fullStr The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
title_full_unstemmed The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
title_sort automatic classfication of temporomandibular joint (tmj) sounds using features in the time-frequency domain
publishDate 2008
url http://hdl.handle.net/10356/5607
_version_ 1761781817496567808

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