Nova Southeastern University Office of Academic Affairs Search NSU Site Map Nova Southeastern University
President's Faculty R & D Grant 
Home
Committees, Councils
  and Boards
Faculty Policy Manual
NSU Scholarly Journals
Professional Journals
Prof. Memberships
Policies & Procedures
Provost's Research and Scholarship Award
President's Faculty
 R & D Grant
PFRDG Application Review Process by NSU Librarians
Faculty Resources
Student Resources
Contact Us

Print this page  

 


With a focus on learning, we employ a range of strategies to support innovation, collaboration across centers, and university-wide discussion and decision-making

 

Fourth Annual Grant Winners 2003-2004

Rodolfo Acosta-Ortiz, D.D.S, HPD College of Dental Medicine
Wallace Marsh, Ph.D., HPD College of Pharmacy
Keith Sherwood, D.D.S., HPD College of Dental Medicine
Malcom Meister, D.D.S., HPD College of Dental Medicine
Robert Brandt, D.D.S., HPD College of Dental Medicine

Dean Robert Uchin – HPD College of Dental Medicine
Dean William Hardigan – HPD College of Pharmacy

Title: Classification of Different Masticatory Activities by EMG Signal Levels in Patient with Different Types of Malocclusion

Abstract:

Differentiation between functional and parafunctional mandibular activities has always been a challenging task; and objective measurement of these activities is of critical importance in the design of studies investigating epidemiological factors and treatment approaches for a variety of disorders of the masticatory system. Our research studies, using Electromyography (EMG), have shown that EMG may allow the identification of these mandibular activities. Overall, the results have suggested that masticatory activities can be predicted with a high level of accuracy based upon the EMG amplitude signal level of the activities, which may facilitate the identification of mandibular masticatory activities in patients with a full compliment of teeth. Although, EMG has been used to quantify muscle activity in different types of malocclusion and during orthodontic treatment, prediction of masticatory activities by EMG signal levels in patients with different types of malocclusion have not been performed. Our main objective is to use EMG signals produced by normal masticatory activities to classify jaw masticatory activities in patients with different type of malocclusion. In addition, the changes that orthodontic treatment will have in the classification of muscle activities will also be analyzed. The sample will consist of ninety patients whose orthodontic treatment has been planned. Six separate recording sessions were performed for each subject. (Three sessions before and three sessions after the orthodontic treatments are started). During each session the subjects will be asked to perform different voluntary mandibular tasks. EMG activity for each task will be recorded for the anterior temporalis (Ta) and masseter muscles (Mm) bilaterally. The potential benefit of this study is if we can develop an EMG method to easily identify different mandibular activities, treatment outcomes for the masticatory system will better be evaluated.