Document Detail


Statistical signal processing methods for intraoral pressure curve analysis in orthodontics.
MedLine Citation:
PMID:  21508265     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
A thorough understanding of the intraoral pressure conditions of patients with different forms of malocclusion may help to characterize their aetiology in more detail and improve orthodontic treatment approaches by adding strategies to achieve a normalization of intraoral pressure levels. These pressure curve analyses should not only provide information on intraoral activity or during rest but also detail characterization of swallowing features and pressure plateau stages. For this purpose, algorithms for extracting swallowing peaks and plateau stages were developed and evaluated. Established curve characteristics such as the average or maximum pressure as well as the number of swallowing peaks or resting phases were compared between each other. Their usefulness and correlation (Kendall's τ) were evaluated in a data example of different occlusal groups (Angle Class I: n = 30; Angle Class II division 1: n = 12; and Angle Class II division 2: n = 13). Curve characteristics were compared among these groups using the Kruskal-Wallis test. Some of the derived curve characteristics were found to be uncorrelated, thus providing different information concerning the intraoral pressure condition of subjects. Based on these findings, it is recommended to employ the curve characteristics described in this study to obtain a holistic image of factors that may affect the formation of the dentition.
Authors:
Klaus Jung; Wilfried Engelke; Michael Knösel
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-20
Journal Detail:
Title:  European journal of orthodontics     Volume:  -     ISSN:  1460-2210     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-4-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7909010     Medline TA:  Eur J Orthod     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Departments of Medical Statistics.
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