Recording of bruxism events in sleeping humans at home with a smart instrumented splint

Robin, Olivier; Claude, Arthur; Géhin, Claudine; Massot, Bertrand; McAdams, Eric

doi:10.1080/08869634.2019.1708608

Cited by 11 publications

(17 citation statements)

References 22 publications

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“…This results in the following output voltage V OUT = 4.9. Similar developments have been carried out in other studies for other medical applications [ 19 ].…”

Section: Methodsmentioning

confidence: 58%

“…Thanks to the use of different methods of industrial three-dimensional digitization and reverse engineering, advanced manufacturing has generated a recent emergence of solutions. Based on additive manufacturing it has allowed a great advance in products of mass use such as splints, braces, prostheses, or assistive devices [ 19 ]. Moreover, these techniques, combined with new sensors and actuators, have revolutionized the applications of exoskeletons by the hand of robotics [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Smart Splint to Monitor Different Parameters during the Treatment Process

Burgo

Haro

D’Amato

et al. 2020

Sensors

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For certain musculoskeletal complex rupture injuries, the only treatment available is the use of immobilization splints. This type of treatment usually causes discomfort and certain setbacks in patients. In addition, other complications are usually generated at the vascular, muscular, or articular level. Currently, there is a really possible alternative that would solve these problems and even allows a faster and better recovery. This is possible thanks to the application of engineering on additive manufacturing techniques and the use of biocompatible materials available in the market. This study proposes the use of these materials and techniques, including sensor integration inside the splints. The main parameters considered to be studied are pressure, humidity, and temperature. These aspects are combined and analyzed to determine any kind of unexpected evolution of the treatment. This way, it will be possible to monitor some signals that would be studied to detect problems that are associated to the very initial stage of the treatment. The goal of this study is to generate a smart splint by using biomaterials and engineering techniques based on the advanced manufacturing and sensor system, for clinical purposes. The results show that the prototype of the smart splint allows to get data when it is placed over the arm of a patient. Two temperatures are read during the treatment: in contact with the skin and between skin and splint. The humidity variations due to sweat inside the splint are also read by a humidity sensor. A pressure sensor detects slight changes of pressure inside the splint. In addition, an infrared sensor has been included as a presence detector.

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“…This results in the following output voltage V OUT = 4.9. Similar developments have been carried out in other studies for other medical applications [ 19 ].…”

Section: Methodsmentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Development of a Smart Splint to Monitor Different Parameters during the Treatment Process

Burgo

Haro

D’Amato

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Thus, healthcare providers need to encourage their patients to seek out reliable sources of information and to provide guidance on how to evaluate the quality and reliability of information available on the internet. Bruxism can be defined as a movement disorder characterised by involuntary, unconscious, and excessive grinding and teeth clenching 26–29 . If untreated, teeth grinding can cause headaches, neck pain, disease in the muscles that make up the masticatory system, oral mucosa damage, tooth and periodontal damage, temporomandibular, 30–37 and hearing disorders 38 .…”

Section: Discussionmentioning

confidence: 99%

Online Bruxism‐related information: Can people understand what they read? A Cross‐Sectional Study

Minervini

Cicciù²

2023

J of Oral Rehabilitation

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BackgroundBruxism patients often access the web to search for information. Unfortunately, the low text readability of online material and the limited medical literacy in the general population may prevent patients' understanding of health information.Objective(s)We aimed to assess the home page's readability of the top 10 patients‐oriented bruxism‐related websites and the educational level required to approach them.MethodsUsing the word bruxism in the “no country redirect” extension of Google Chrome browser (www.google.com/ncr), we identified the first 10 patient‐oriented English language websites. The readability of the material was determined using six commonly recommended readability tests (1): Gunning Fog Index (GFI), Coleman Liau Index (CLI), Automated Readability Index (ARI) Simple Measure of Gobbledygook (SMOG), Flesch Kincald Grade Level (FKGL), Flesh Reasing Ease (FRE).ResultsThe USA National Institutes of Health requirements, which call for websites to be readable at a 6th to 7th‐grade level, were not followed by any of the most popular websites.ConclusionThe average consumer frequently finds the health information on the Internet to be too complex to understand, which can lead to misinterpretation, a delay in diagnosis, and poorer health consequences.

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“…measure masticatory muscle activity during sleep, investigating rhythmic masticatory muscle activity (RMMA), which is a diagnostic sign of sleep bruxism [9,10]. Another approach using an instrumented splint to measure peaks in bite force has been proposed previously [11].…”

Section: Methodsmentioning

confidence: 99%

“…Since PSG is very expensive and time consuming for the patient, many studies have used electromyography (EMG) [8] devices to measure masticatory muscle activity during sleep, investigating rhythmic masticatory muscle activity Diagnostics 2021, 11, 1483 2 of 10 (RMMA), which is a diagnostic sign of sleep bruxism [9,10]. Another approach using an instrumented splint to measure peaks in bite force has been proposed previously [11].…”

Section: Introductionmentioning

confidence: 99%

A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning

et al. 2021

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Sleep bruxism is an oral parafunction that involves involuntary tooth grinding and clenching. Splints with a colored layer that gets removed during tooth grinding are a common tool for the initial diagnosis of sleep bruxism. Currently, such splints are either assessed qualitatively or using 2D photographs, leading to a non-neglectable error due to the 3D nature of the dentition. In this study we propose a new and fast method for the quantitative assessment of tooth grinding surfaces using 3D scanning and mesh processing. We assessed our diagnostic method by producing 18 standardized splints with 8 grinding surfaces each, giving us a total of 144 surfaces. Moreover, each splint was scanned and analyzed five times. The accuracy and repeatability of our method was assessed by computing the intraclass correlation coefficient (ICC) as well reporting means and standard deviations of surface measurements for intra- and intersplint measurements. An ICC of 0.998 was computed as well as a maximum standard deviation of 0.63 mm2 for repeated measures, suggesting an appropriate accuracy of our proposed method. Overall, this study proposes an innovative, fast and cost effective method to support the initial diagnosis of sleep bruxism.

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Recording of bruxism events in sleeping humans at home with a smart instrumented splint

Cited by 11 publications

References 22 publications

Development of a Smart Splint to Monitor Different Parameters during the Treatment Process

Development of a Smart Splint to Monitor Different Parameters during the Treatment Process

Online Bruxism‐related information: Can people understand what they read? A Cross‐Sectional Study

A Novel Quantitative Method for Tooth Grinding Surface Assessment Using 3D Scanning

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