Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Elementary identification of a gnathosonic classification using an autoregressive model

C S Shi1, Y Mao

  • 1Prosthodontic Department, Stomatological College, Fourth Military Medical University, Xian Shaanxi, China.

Journal of Oral Rehabilitation
|July 1, 1993
PubMed
Summary

An autoregressive (AR) model can effectively classify human occlusal sounds. This method aids in identifying characteristic parameters for computer-aided diagnosis of dental occlusal disorders.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Clinical characteristics analysis of 6 children with anomalous origin of coronary artery supported by extracorporeal membrane oxygenation].

Zhonghua er ke za zhi = Chinese journal of pediatrics·2025
Same author

[Research advances on the roles of exosomes derived from mesenchymal stem cells in wound healing and prevention and treatment of hypertrophic scars].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns·2021
Same author

[Risk factors for mortality in pediatric acute respiratory distress syndrome requiring extracorporeal membrane oxygenation support].

Zhonghua er ke za zhi = Chinese journal of pediatrics·2021
Same author

[Influence of human amniotic mesenchymal stem cells on macrophage phenotypes and inflammatory factors in full-thickness skin wounds of mice].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns·2020
Same author

[Effect of silencing FABP3 gene on LPS-induced apoptosis and endoplasmic reticulum stress in alveolar epithelial cells].

Zhonghua yi xue za zhi·2019
Same author

[Clinical effects of superior gluteal artery perforator island flap in repair of sacral pressure ulcer].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns·2019

Area of Science:

  • Biomedical Engineering
  • Dental Science
  • Signal Processing

Background:

  • Occlusal sounds contain characteristic parameters useful for dental diagnosis.
  • Traditional methods for occlusal sound analysis can be subjective and time-consuming.

Purpose of the Study:

  • To investigate the feasibility of using autoregressive (AR) modeling for occlusal sound analysis.
  • To develop a classification system for occlusal sounds based on AR model parameters.
  • To assess the potential for computer-aided diagnosis of occlusal disorders.

Main Methods:

  • Recorded occlusal sounds from 34 healthy subjects.
  • Classified sounds into gnathosonic categories (A, B, C) based on wave patterns and duration.
  • Calculated a 20th-order AR model for the occlusal sound data.

Related Experiment Videos

  • Utilized Bayes' discriminatory analysis to compare AR coefficients with classification indices.

    • Main Results:

    • AR model coefficients showed similarity to Bayes' discriminatory analysis indices.
    • High conformation rates for left (97.06%) and right (88.24%) occlusal sounds were achieved using Bayes' discriminant functions.
    • AR coefficients effectively represent characteristics of human occlusal sounds.

    Conclusions:

    • Autoregressive modeling is a feasible method for analyzing and classifying occlusal sounds.
    • AR coefficients can serve as reliable indices for gnathosonic classification.
    • This approach holds promise for the computer-aided diagnosis of occlusal disorders.