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Using Digital Technology to Analyze the Degree of Polymerization of Tooth Preparation

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Signal and Information Processing, Networking and Computers (ICSINC 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 895))

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Abstract

Dentistry aggregation analysis is a very basic technique in modern orthodontics. In modern orthodontics, the analysis of the degree of polymerization of the tooth preparation and the correction of the previous patient’s position are based on the correct detection of the viewpoint based on the mechanical jaw. Although the development of mechanical jaws has a history of hundreds of years, its various drawbacks have not been eliminated, and it has also brought great inconvenience to patients and doctors. Therefore, the demand for digital tooth preparation polymerization degree analysis system is becoming more and more urgent. This article aims at the use of digital technology to analyze the degree of polymerization of tooth preparation, a general understanding of digital technology on the basis of relevant literature data, and analysis of the relevant experimental steps of the degree of tooth preparation and its evaluation steps, which pave the way for the following experiments. The final experimental results show that the various preparation materials required by the 40 experimenters in the experimental group according to the requirements of the 46-type cast metal full crown were prepared respectively, ca was 3.3°–39.5°, the average polymerization angle (20.5°) is slightly smaller than the md polymerization angle (21.5°). Among them, <5°, 5°–10°, 10°–20°, 20°–30°, >5°accounted for 3.55%, 7.6%, 33.85%, 42.4%, 12.6%, respectively. The 125 teeth prepared in the control group had a polymerization angle of 2.2°–84°. The average experimental measurement data of CA was 30°, and the average measurement data of BL (30.18°) was larger than the average measurement data (29.64°). Among them, <5°, 5°–10°, 10°–20°, 20°–30°, >5°accounted for 0.83%, 0.63%, 13.67%, 37.86%, 46.91%, respectively.

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References

  1. Horikawa, Y., et al.: Assessment of endoglucanase activity by analyzing the degree of cellulose polymerization and high-throughput analysis by near-infrared spectroscopy. Cellulose 23(3), 1565–1572 (2016)

    Article  MathSciNet  Google Scholar 

  2. Li-Hua, W.U., Zhou, M., Zheng, B.S., et al.: Preparation of chitooligosaccharides with the degree of polymerization below six by oxidative degradation of chitosan. Mod. Food Sci. Technol. 33(9), 140–146, 155 (2017)

    Google Scholar 

  3. Kikuchi, M., Takahara, A., Kawaguchi, S.: dimensional characterizations from rod stars to brushes of polymers with a low degree of polymerization. Macromolecules 50(1), 324–331 (2016)

    Article  Google Scholar 

  4. Vidal, L., et al.: Determination of the polymerization degree of various alkaline solutions: Raman investigation. J. Sol-Gel Sci. Technol. 83(1), 1–11 (2017)

    Article  Google Scholar 

  5. Ye, Y., Xiao, L., He, B.B., et al.: Oxygen-tuned nanozyme polymerization for the preparation of hydrogels with printable and antibacterial properties. J. Mater. Chem. B 5(7), 1518–1524 (2017)

    Article  Google Scholar 

  6. Konoplev, I.A., et al.: Preparation of L-lactide of polymerization purity with removal of impurities by fractional melting. Russ. J. Appl. Chem. 90(3), 415–422 (2017)

    Article  Google Scholar 

  7. Wang, C., Chen, Y., You, Y., et al.: Surgical template to minimize the damage of tooth buds in young children with mandibular distraction osteogenesis. J. Craniofac. Surg. 27(7), 1732–1734 (2016)

    Article  Google Scholar 

  8. Solfisburg, Q.S., Baldwin-Hunter, B.L., Lightdale, C.J., Korem, T., Abrams, J.A.: Salivary microbiome composition is associated with advanced Neoplasia In Barrett’s Esophagus independent of tooth loss. Gastroenterology 160(6), S-635-S-636 (2021)

    Article  Google Scholar 

  9. Han, A., Rujijanagul, G., Randorn, C.: Preparation of hydroxyapatite hydrogel for bone-like materials via novel self-initiated photocatalytic polymerization. Mater. Lett. 193, 142–145 (2017)

    Article  Google Scholar 

  10. Gratton, D.G., Kwon, S.R., Blanchette, D., et al.: Impact of digital tooth preparation evaluation technology on preclinical dental students’ technical and self-evaluation skills. J. Dent. Educ. 80(1), 91–99 (2016)

    Article  Google Scholar 

  11. Saberi, E., Akbari, N., Ebrahimipour, S., et al.: In-vitro evaluation of coronal microbial leakage after post space tooth preparation. Minerva Stomatol. 65(3), 127–133 (2016)

    Google Scholar 

  12. Park, C., Sheinbaum, J.M., Tamada, Y., et al.: Dental students’ perceptions of digital assessment software for preclinical tooth preparation exercises. J. Dent. Educ. 81(5), 597–603 (2017)

    Article  Google Scholar 

  13. Wang, Z., Liu, R., Liu, Q., Thompson, J.S., Kadoch, M.: Energy-efficient data collection and device positioning in UAV-assisted IoT. IEEE Internet Things J. 7(2), 1122–1139 (2020)

    Article  Google Scholar 

  14. Chen, N., Rong, B., Zhang, X., Kadoch, M.: Scalable and flexible massive MIMO precoding for 5G H-CRAN. IEEE Wirel. Commun. Mag. 24(1), 46–52 (2017)

    Article  Google Scholar 

  15. Nessa, A., Kadoch, M., Rong, B.: Fountain coded cooperative communications for LTE-A connected heterogeneous M2M network. IEEE Access 4, 5280–5292 (2016)

    Article  Google Scholar 

Download references

Acknowledgements

Supported by the National Natural Science Foundation of China (81701014); Science and Technology Plan Project of Science and Technology and Industry Information Bureau of Xi’an Weiyang District (202126); The fourth batch of university level funds for key disciplines of Xi’an Medical University: Clinical Science of Stomatology.

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Correspondence to Danyang Wang .

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Xie, N., Ji, X., Wang, D., Li, Z., Tahack, B. (2022). Using Digital Technology to Analyze the Degree of Polymerization of Tooth Preparation. In: Sun, S., Hong, T., Yu, P., Zou, J. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2021. Lecture Notes in Electrical Engineering, vol 895. Springer, Singapore. https://doi.org/10.1007/978-981-19-4775-9_108

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  • DOI: https://doi.org/10.1007/978-981-19-4775-9_108

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  • Print ISBN: 978-981-19-4774-2

  • Online ISBN: 978-981-19-4775-9

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