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Earables for Detection of Bruxism: a Feasibility Study

Authors:

Erika Bondareva,

Elín Rós Hauksdóttir,

Cecilia MascoloAuthors Info & Claims

UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Pages 146 - 151

https://doi.org/10.1145/3460418.3479327

Published: 24 September 2021 Publication History

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Abstract

Bruxism is a disorder characterised by teeth grinding and clenching, and many bruxism sufferers are not aware of this disorder until their dental health professional notices permanent teeth wear. Stress and anxiety are often listed among contributing factors impacting bruxism exacerbation, which may explain why the COVID-19 pandemic gave rise to a bruxism epidemic. It is essential to develop tools allowing for the early diagnosis of bruxism in an unobtrusive manner. This work explores the feasibility of detecting bruxism-related events using earables in a mimicked in-the-wild setting. Using inertial measurement unit for data collection, we utilise traditional machine learning for teeth grinding and clenching detection. We observe superior performance of models based on gyroscope data, achieving an 88% and 66% accuracy on grinding and clenching activities, respectively, in a controlled environment, and 76% and 73% on grinding and clenching, respectively, in an in-the-wild environment.

References

[1]

Toshiyuki Ando, Yuki Kubo, Buntarou Shizuki, and Shin Takahashi. 2017. CanalSense: Face-Related Movement Recognition System Based on Sensing Air Pressure in Ear Canals. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (Québec City, QC, Canada) (UIST ’17). Association for Computing Machinery, 679–689. https://doi.org/10.1145/3126594.3126649

Digital Library

[2]

H. Beddis, M. Pemberton, and Stephen Davies. 2018. Sleep Bruxism: an Overview for Clinicians. British Dental Journal 225, 6 (2018), 497–501. https://doi.org/10.1038/sj.bdj.2018.757

[3]

Abdelkareem Bedri, David Byrd, Peter Presti, Himanshu Sahni, Zehua Gue, and Thad Starner. 2015. Stick It in Your Ear: Building an in-Ear Jaw Movement Sensor(UbiComp/ISWC’15 Adjunct). Association for Computing Machinery, 1333–1338. https://doi.org/10.1145/2800835.2807933

Digital Library

[4]

E. Casett, J. C. Réus, J. Stuginski-Barbosa, A. Porporatti, M. Carra, M. Peres, G. De Luca Canto, and D. Manfredini. 2017. Validity of different tools to assess sleep bruxism: a meta‐analysis. Journal of Oral Rehabilitation 44 (2017), 722–734.

[5]

T. Castroflorio, A. Bargellini, G. Rossini, G. Cugliari, A. Deregibus, and D. Manfredini. 2015. Agreement between clinical and portable EMG/ECG diagnosis of sleep bruxism. Journal of Oral Rehabilitation 42, 10 (2015), 759–764.

[6]

Tommaso Castroflorio, Luca Mesin, Gianluca Martino Tartaglia, Chiarella Sforza, and Dario Farina. 2013. Use of Electromyographic and Electrocardiographic Signals to Detect Sleep Bruxism Episodes in a Natural Environment. IEEE Journal of Biomedical and Health Informatics 17, 6(2013), 994–1001. https://doi.org/10.1109/JBHI.2013.2274532

[7]

Dadnam D., Dadnam C. and Al-Saffar H.2021. Pandemic Bruxism | British Dental Journal 230, 271. https://www.nature.com/articles/s41415-021-2788-3#citeas.

[8]

C. González and A Díaz Lantada. 2009. A wearable passive force sensor powered by an active interrogator intended for intra-splint use for the detection and recording of bruxism. In 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare. 1–4. https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.5884

[9]

Nantawachara Jirakittayakorn and Yodchanan Wongsawat. 2014. An EMG instrument designed for bruxism detection on masseter muscle. In The 7th 2014 Biomedical Engineering International Conference. 1–5.

[10]

Fahim Kawsar, Chulhong Min, Akhil Mathur, and Alessandro Montanari. 2018. Earables for Personal-Scale Behavior Analytics. IEEE Pervasive Computing 17, 3 (2018), 83–89. https://doi.org/10.1109/MPRV.2018.03367740

Digital Library

[11]

Prerna Khanna, Tanmay Srivastava, Shijia Pan, Shubham Jain, and Phuc Nguyen. 2021. JawSense: Recognizing Unvoiced Sound Using a Low-Cost Ear-Worn System. In Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications(Virtual, United Kingdom) (HotMobile ’21). Association for Computing Machinery, 44–49. https://doi.org/10.1145/3446382.3448363

Digital Library

[12]

Rio Kinjo, Takahiro Wada, Hiroshi Churei, Takehiro Ohmi, Kairi Hayashi, Kazuyoshi Yagishita, Motohiro Uo, and Toshiaki Ueno. 2021. Development of a Wearable Mouth Guard Device for Monitoring Teeth Clenching during Exercise. Sensors 21, 4 (2021). https://doi.org/10.3390/s21041503

[13]

Michael Knierim, Max Schemmer, and Dominik Woehler. 2021. Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes. In 12th International Conference on Applied Human Factors and Ergonomics (AHFE 2021).

[14]

Dong Ma, Andrea Ferlini, and Cecilia Mascolo. 2021. OESense: Employing Occlusion Effect for in-Ear Human Sensing. In Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services(Virtual Event, Wisconsin) (MobiSys ’21). Association for Computing Machinery, 175–187. https://doi.org/10.1145/3458864.3467680

Digital Library

[15]

Chulhong Min, Akhil Mathur, and Fahim Kawsar. 2018. Exploring Audio and Kinetic Sensing on Earable Devices. In Proceedings of the 4th ACM Workshop on Wearable Systems and Applications (Munich, Germany) (WearSys ’18). Association for Computing Machinery, 5–10. https://doi.org/10.1145/3211960.3211970

Digital Library

[16]

Lucas B Pigozzi, Daniela D S Rehm, Simone C Fagondes, Eduardo P Pellizzer, and Márcio L Grossi. 2019. Current Methods of Bruxism Diagnosis: A Short Communication. The International journal of prosthodontics 32, 3 (2019), 263—264. https://doi.org/10.11607/ijp.6196

[17]

Jay Prakash, Zhijian Yang, Yu-Lin Wei, Haitham Hassanieh, and Romit Roy Choudhury. 2020. EarSense: Earphones as a Teeth Activity Sensor. In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking (London, United Kingdom) (MobiCom ’20). Association for Computing Machinery, Article 40. https://doi.org/10.1145/3372224.3419197

Digital Library

[18]

Siddharth Rupavatharam and Marco Gruteser. 2019. Towards In-Ear Inertial Jaw Clenching Detection. In Proceedings of the 1st International Workshop on Earable Computing (London, United Kingdom) (EarComp’19). Association for Computing Machinery, 54–55. https://doi.org/10.1145/3345615.3361134

Digital Library

[19]

Shetty, S., Pitti, V., C.L., Babu, S., G.P., Kumar, S. and Deepthi, B. C. 2010. Bruxism: A Literature Review. J Indian Prosthodont Soc 10, 141–148 (2010).https://link.springer.com/article/10.1007/s13191-011-0041-5.

[20]

M. van Dijk. 1995. The binary symmetric broadcast channel with confidential messages, with tampering. In Proceedings of 1995 IEEE International Symposium on Information Theory. 487–. https://doi.org/10.1109/ISIT.1995.550474

[21]

Wataru Yachida, Taro Arima, Eduardo E. Castrillon, Lene Baad-Hansen, Noboru Ohata, and Peter Svensson. 2016. Diagnostic validity of self-reported measures of sleep bruxism using an ambulatory single-channel EMG device. Journal of Prosthodontic Research 60, 4 (2016), 250–257. https://doi.org/10.1016/j.jpor.2016.01.001

[22]

Zoom Video Communications Inc.2016. Zoom Video Communications Inc. (2016). Security guide. Zoom Video Communications Inc.https://d24cgw3uvb9a9h.cloudfront.net/static/81625/doc/Zoom-Security-White-Paper.pdf.

Cited By

Jia HKwon YMat DPham NQendro LVu TMascolo C(2024)UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers2024 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom59722.2024.10494467(1-10)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerCom59722.2024.10494467
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314

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cover image ACM Conferences

UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

September 2021

711 pages

ISBN:9781450384612

DOI:10.1145/3460418

Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2021

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UbiComp '21

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UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 21 - 26, 2021

Virtual, USA

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Jia HKwon YMat DPham NQendro LVu TMascolo C(2024)UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers2024 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom59722.2024.10494467(1-10)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerCom59722.2024.10494467
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314

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