Giyilebilir Teknolojiler ile Dental Anksiyete Takibi

Yazarlar

Banu Çiçek Tez Yaşar
https://orcid.org/0000-0002-6053-5547

Referanslar

Grisolia, B. M., Dos Santos, A. P. P., Dhyppolito, I. M., Buchanan, H., Hill, K., & Oliveira, B. H. (2021). Prevalence of dental anxiety in children and adolescents globally: A systematic review with meta-analyses. International journal of paediatric dentistry, 31(2), 168-183. https://doi.org/10.1111/ipd.12712

Silveira, E. R., Cademartori, M. G., Schuch, H. S., Armfield, J. A., & Demarco, F. F. (2021). Estimated prevalence of dental fear in adults: A systematic review and meta-analysis. Journal of dentistry, 108, 103632. https://doi.org/10.1016/j.jdent.2021.103632

Howard, K. E., & Freeman, R. (2007). Reliability and validity of a faces version of the Modified Child Dental Anxiety Scale. International journal of paediatric dentistry, 17(4), 281-288. https://doi.org/10.1111/j.1365-263X.2007.00830.x

Liu Y, Chen L, Hong R, Dong X, Sha W, Jin Z, et al. A survey of mastication evaluation: from traditional approach to artificial intelligence. Food Nutr Health. 2025;2(1):18. https://doi.org/10.1007/s44403-025-00029-w

Li Y, Wang M, Qiu S, Chen J, Wang F. Current status and future perspectives of wearable technologies for oral health in clinical applications. Diagnostics (Basel). 2026;16(7):1015. doi:10.3390/diagnostics16071015.

González-Cañete FJ, Casilari E. UMATBrush: a dataset of inertial signals of toothbrushing activities. Data Brief. 2025;62:111980.

Jeon S, Kim SH, Heo G, Heo HJ, Chae SY, Kwon YW, et al. A wearable electrochemical biosensor for salivary detection of periodontal inflammation biomarkers: molecularly imprinted polymer sensor with deep learning integration. Adv Sci (Weinh). 2025;12:e09658.

Pan J, Li X, Sun R, Xu Y, Shi Z, Dai C, et al. Hydrogel-based radio frequency H2S sensor for in situ periodontitis monitoring and antibacterial treatment. Biosens Bioelectron. 2024;259:116404.

Ozawa A, Suzuki Y, Okura K, Tajima T, Taniwaki T, Shibagaki A, et al. Evaluation of sleep bruxism by three-dimensional analysis of the deformation of acrylic resin occlusal appliances. J Prosthodont Res. 2026;70(1):141-150. doi:10.2186/jpr.JPR_D_24_00315.

Liu Z, Sun T, Chen Y, Mo X, Kao H, Chen HJ. Integrated multiplex sensing clear aligner for in situ monitoring of dental enamel demineralization. ACS Biomater Sci Eng. 2023;9:3680-3689.

Xu S, Xiao Y, Xiong P, Zheng P, Wu S, Wang X, et al. Boosting mechanoluminescence performance in doped CaZnOS by the facile self-reduction approach. Adv Mater. 2026;38(3):e11643. doi:10.1002/adma.202511643.

Stocchero M, Gobbato L, De Biagi M, Bressan E, Sivolella S. Pulsed electromagnetic fields for postoperative pain: a randomized controlled clinical trial in patients undergoing mandibular third molar extraction. Oral Surg Oral Med Oral Pathol Oral Radiol. 2015;119:293-300.

Trusculescu LM, Pitic DE, Sălcudean A, Popovici RA, Forna N, Badoiu SC, et al. Virtual reality as a non-pharmacological aid for reducing anxiety in pediatric dental procedures. Children (Basel). 2025;12(7):930.

Chau RCW, Thu KM, Chaurasia A, Hsung RTC, Lam WY. A systematic review of the use of mHealth in oral health education among older adults. Dent J (Basel). 2023;11(8):189. doi:10.3390/dj11080189.

Fernández CE, Maturana CA, Coloma SI, Carrasco-Labra A, Giacaman RA. Teledentistry and mHealth for promotion and prevention of oral health: a systematic review and meta-analysis. J Dent Res. 2021;100(9):914-927. doi:10.1177/00220345211003828.

McGrath C, Chau CWR, Molina GF. Monitoring oral health remotely: ethical considerations when using AI among vulnerable populations. Front Oral Health. 2025;6:1587630. doi:10.3389/froh.2025.1587630.

Elgendi, M., Markov, K., Liu, H. et al. Wearable devices for anxiety assessment: a systematic review. Commun Med 6, 20 (2026). https://doi.org/10.1038/s43856-025-01234-6

Ates, H. C. et al. End-to-end design of wearable sensors. Nat. Rev. Mater. 7, 887-907 (2022).

Nath, R. & Thapliyal, H. Machine learning-based anxiety detection in older adults using wristband sensors and context feature. SN Comp. Sci. 2, 359 (2021).

Main S, Carrilho MR, Alessandri-Bonetti A, Sawicki C, Rao J, Hall S, Sangalli L. Salivary markers as potential stress descriptors for pediatric dental patients: a literature review. Children (Basel). 2025;12(4):500. doi:10.3390/children12040500

AlMaummar M, AlThabit HO, Pani S. The impact of dental treatment and age on salivary cortisol and alpha-amylase levels of patients with varying degrees of dental anxiety. BMC Oral Health. 2019;19(1):211. doi:10.1186/s12903-019-0901-7

Furlan NF, Gaviao MBD, Barbosa TS, Nicolau J, Castelo PM. Salivary cortisol, alpha-amylase and heart rate variation in response to dental treatment in children. J Clin Pediatr Dent. 2012;37(1):83-87. doi:10.17796/jcpd.37.1.n32m21n08417v363

Alaki SM, Safi A, Ouda S, Nadhreen A. Comparing dental stress in new child patients and returning patients using salivary cortisol, immunoglobulin-A and alpha-amylase. J Clin Pediatr Dent. 2017;41(6):462-466. doi:10.17796/1053-4628-41.6.8

Gomes HS, Anabuki AA, Viana KA, Abreu LG, Batista AC, Hosey MT, Costa LR. Assessment of child's dental anxiety/fear and stress during dental treatment: a systematic review by CEDACORE. Braz Oral Res. 2022;36:e0067. doi:10.1590/1807-3107bor-2022.vol36.0067

Abd-alrazaq A, AlSaad R, Harfouche M, Aziz S, Ahmed A, Damseh R, Sheikh J. Wearable artificial intelligence for detecting anxiety: systematic review and meta-analysis. J Med Internet Res. 2023;25:e48754. doi:10.2196/48754

Krogstad AL, Mork C, Piechnik SK (2006) Daily pattern of sweating and response to stress and exercise in patients with palmar hyperhidrosis. Br J Dermatol 154(6), 1118-1122.

Tran HT, Kong Y, Talati A, Posada-Quintero H, Chon KH, Chen IP. The use of electrodermal activity in pulpal diagnosis and dental pain assessment. Int Endod J. 2023;56(4):356-368. doi:10.1111/iej.13868

Bari DS, Rammoo MNS, Youssif AA, Najman HM, Aldosky HYY, Tronstad C, Hou J, Martinsen ØG. Electrodermal activity for quantitative assessment of dental anxiety. J Sens Actuator Netw. 2024;13(6):88. doi:10.3390/jsan13060088

Giardino, Nicholas D., Seth D. Friedman, and Stephen R. Dager. "Anxiety, respiration, and cerebral blood flow: implications for functional brain imaging." Comprehensive psychiatry 48.2 (2007): 103-112.

Šalkevicius J, Damaševičius R, Maskeliunas R, Laukienė I.Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals. Electronics 2019, 8, 1039. https://doi.org/10.3390/electronics8091039

SHAUKAT-JALI, Ruksana; VAN ZALK, Nejra; BOYLE, David Edward. Detecting subclinical social anxiety using physiological data from a wrist-worn wearable: small-scale feasibility study. JMIR Formative Research, 2021, 5.10: e32656.

Nelson BW, Allen NB. Accuracy of consumer wearable heart rate measurement during an ecologically valid 24-hour period: intraindividual validation study. JMIR Mhealth Uhealth. 2019;7(3):e10828. doi:10.2196/10828

Pelizzo G, Guddo A, Puglisi A, De Silvestri A, Comparato C, Valenza M, Bordonaro E, Calcaterra V. Accuracy of a wrist-worn heart rate sensing device during elective pediatric surgical procedures. Children (Basel). 2018;5(3):38. doi:10.3390/children5030038

Oh JE, Kim JS, Yoo SH. The assessment of stress of children under dental procedures using wrist watch type heart rate monitoring devices. J Korean Acad Pediatr Dent. 2015;42(2):119-125. doi:10.5933/JKAPD.2015.42.2.119

Haridoss S, Swaminathan K, Madiraju GS, Ravi R, Mohan R, Thadani M. Technology-enhanced behavior guidance for pediatric dental anxiety: a systematic review and meta-analysis of effectiveness and safety of virtual reality, augmented reality, biofeedback, and games. Front Dent Med. 2026;7:1819864. doi:10.3389/fdmed.2026.1819864

Roy B, Samir PV, Kumari GA, Anusha S, Nithya S, Bagchi A. Development of an AI integrated virtual reality system for reducing dental anxiety among pediatric patients. Bioinformation. 2025;21(9): 2992-2995. doi:10.6026/973206300212992

Huang C, Meng M, Yin Z, Zhou Y, Tan H, Tang T, Zhao Z, Li P. Technology-enhanced chairside and remote compliance management techniques in paediatric dentistry and early orthodontic treatment. J Clin Pediatr Dent. 2026;50(4):10-24. doi:10.22514/jocpd.2026.087

Abd-Alrazaq A, Alajlani M, Ahmad R, AlSaad R, Aziz S, Ahmed A, Alsahli M, Damseh R, Sheikh J. The performance of wearable AI in detecting stress among students: systematic review and meta-analysis. J Med Internet Res. 2024;26:e52622. doi:10.2196/52622

Yayınlanan

30 Ekim 2026

Lisans

Lisans