Literature DB >> 17945966

Development of smart toothbrush monitoring system for ubiquitous healthcare.

Jeong-Whan Lee1, Kang-Hwi Lee, Kyeong-Seop Kim, Dong-Jun Kim, Kyungho Kim.   

Abstract

The design of an intelligent toothbrush, capable of monitoring brushing motion, orientation through the grip axis, during toothbrushing is described. Inappropriate tooth-brushing styles, even in adults, sometimes cause dental problems, cavities, gingivitis, etc. This smart system provides user to monitor his or her brushing pattern using accelerometer and magnetic sensors for evaluation of toothbrushing style. Directional information of toothbrush with respect to the earth's magnetic field and activity data were measured by a miniaturized low-power micro-controller, MSP430 and transmitted to personal computer by 2.4 GHz radio transmitter, nRF2401. A personal computer provides an on-line display of activity and orientation measurements during toothbrushing. The signal trace is then analyzed to extract clinically relevant information. This preliminary study showed that the proposed monitoring system was conceived to aid dental care personnel in patient education and instruction in oral hygiene regarding brushing style.

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Year:  2006        PMID: 17945966     DOI: 10.1109/IEMBS.2006.259232

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Efficacy of computer-assisted, 3D motion-capture toothbrushing instruction.

Authors:  Kee-Deog Kim; Jin-Sun Jeong; Hae Na Lee; Yu Gu; Kyeong-Seop Kim; Jeong-Whan Lee; Wonse Park
Journal:  Clin Oral Investig       Date:  2014-11-14       Impact factor: 3.573

2.  Using smartphone video "selfies" to monitor change in toothbrushing behavior after a brief intervention: A pilot study.

Authors:  Parangimalai Diwakar Madan Kumar; Anusa Arunachalam Mohandoss; Theodore Walls; Thavarajah Rooban; Lance T Vernon
Journal:  Indian J Dent Res       Date:  2016 May-Jun

3.  Intelligent Brushing Monitoring Using a Smart Toothbrush with Recurrent Probabilistic Neural Network.

Authors:  Ching-Han Chen; Chien-Chun Wang; Yan-Zhen Chen
Journal:  Sensors (Basel)       Date:  2021-02-10       Impact factor: 3.576

4.  Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review.

Authors:  Ruby Dwivedi; Divya Mehrotra; Shaleen Chandra
Journal:  J Oral Biol Craniofac Res       Date:  2021-12-11
  4 in total

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