NDLI: Natural Frequency Analysis of Periodontal Conditions in Human Anterior Teeth

Content Provider	Springer Nature Link
Author	Huang, Haw Ming Lee, Sheng Yang Yeh, Ching Ying Wang, Mao Sheng Chang, Wei Jen Lin, Che Tong
Copyright Year	2001
Abstract	The purpose of this study was to evaluate the possibility of using natural frequency (NF) analysis to detect the attachment loss of periodontal tissue. In this study, 698 anterior teeth were examined by a conventional probing method and also by NF analysis. The teeth were triggered to vibrate with an impulse hammer, and the vibrational response was detected by an acoustic sensor. Our results demonstrate no significant difference in NF values between the upper–lower/left–right quadrants of the tested teeth, although the mean natural frequency value of central incisors with periodontal disease was found to be 1.24 ± 0.11 kHz which is significantly lower than that of teeth in a healthy condition (1.34 ± 0.20 kHz; p < 0.01). On the other hand, the mean frequency for periodontal disease involving canines (1.28 ± 0.09 kHz) was also significantly lower than the corresponding value for healthy analogs (1.35 ± 0.17 kHz; p < 0.05). These results suggest that NF analysis appears to be an effective method for assessing the periodontal condition of anterior teeth. Moreover, since this method is noninvasive, nondestructive, and necessitates minimal tooth contact, it can serve as an effective method for the early quantifiable testing and prevention of periodontal disease. © 2001 Biomedical Engineering Society. PAC01: 8780-y, 4380Ev, 8719Rr
Starting Page	915
Ending Page	920
Page Count	6
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	29
Issue Number	10
e-ISSN	15739686
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2001-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biochemistry Mechanics Biophysics/Biomedical Physics Vibration, Dynamical Systems, Control Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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