The use of noise information for detection of temporomandibular disorder

Ghodsi, Mansoureh, Hassani, Hossein, Sanei, Saeid ORCID: https://orcid.org/0000-0002-7179-4587 and Hicks, Yulia Alexandrovna 2009. The use of noise information for detection of temporomandibular disorder. Biomedical Signal Processing and Control 4 (2) , pp. 79-85. 10.1016/j.bspc.2008.10.001

Full text not available from this repository.

Abstract

A new method for detection of temporomandibular disorder based on singular spectrum analysis is presented. In this method the motion data of markers placed on the points of special interest on the faces of several subjects is extracted and analysed. The individuals are classified into a group of healthy subjects and a group of those with temporomandibular disorder by extracting the signal components of the original time series and separating the noise using the proposed technique. The results for both simulated and real data verify the effectiveness of the proposed algorithm.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering Mathematics
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Uncontrolled Keywords:	Temporomandibular disorder; Singular spectrum analysis; Separation; Noise; Detection
Publisher:	Elsevier
ISSN:	1746-8094
Last Modified:	17 Oct 2022 09:43
URI:	https://orca.cardiff.ac.uk/id/eprint/5421

Citation Data

Cited 29 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item