Design and Implement Strategy of Wireless Bite Force Device

Gao, Jinxia; Su, Zhiwen; Liu, Longjun

doi:10.3390/bioengineering10050507

Cited by 3 publications

(4 citation statements)

References 33 publications

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“…Moreover, since the piezoelectricity of these polymers is a consequence of their ferroelectricity and, subsequently, pyroelectricity, the ultimate signal is significantly affected by variations in temperature. 35,36 A significant number of recent in vitro studies support the efficacy of wireless sensors for measuring occlusal forces and bite force, 13,37,38 with applications also in patients with bruxism. 39,40 However, the validation of their results in humans is relevant, as observed in the studies included in the current systematic review.…”

Section: Percentage Score Of Compliancementioning

confidence: 99%

“…12 While existing research predominantly concentrates on bite force measurement, there is still a lack of comprehensive exploration into the effective utilization of the substantial amount of detected occlusal force data for informing clinical and scientific practices. 13 The extensive study of artificial intelligence applications in dentistry has also been undertaken, and transdisciplinary research might gain more significance. 14 As artificial intelligence technology advances, patients have the potential to independently monitor and manage oral-related disorders by utilizing a portable intelligent device.…”

Section: Introductionmentioning

confidence: 99%

“…This gadget can continuously collect data on oral biting force and conduct deep learning and neural network analysis. 13 The comprehensive data acquired using wireless sensors has the potential to facilitate the development of personalized treatment plans and enhance early detection and intervention in various oral health conditions. Especially, wireless sensors assume a pivotal role in oral health by evaluating aberrant force patterns indicative of temporomandibular joint disorders, surveilling occlusal forces for the identification and management of bruxism, contributing to the assessment of force distribution during mastication to provide insights into periodontal health, monitoring occlusal forces throughout orthodontic treatment to optimize interventions, furnishing real-time data on forces applied to dental implants for the assessment of stability, identifying abnormal force patterns associated with neuromuscular disorders and observing nocturnal occlusal forces to furnish diagnostic information for sleep-related issues, among other applications.…”

Section: Introductionmentioning

confidence: 99%

“…The developed apparatus demonstrated accurate and consistent measurement of bite force. Gao et al13 developed a wireless device for measuring bite force and investigated quantitative measurement approaches to contribute to the identification of effective strategies for managing occlusal disorders. The experimental findings validated suitable parameter measurements for the device carrier and confirmed the feasibility of the proposed system for quantifying bite force.…”

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confidence: 99%

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Efficacy of wireless sensors in assessing occlusal and bite forces: A systematic review

Ardila,

Jiménez‐Arbeláez,

Vivares‐Builes

2024

J of Oral Rehabilitation

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BackgroundThe noteworthy correlation between bite force and masticatory performance emphasizes its significance as a meaningful and objective method for assessing oral function. Furthermore, in the study of bruxism, the measurement of intraoral bite force assumes critical importance. Given the importance of assessing occlusal forces and bite force, this systematic review aims to assess the efficacy of wireless sensors in measuring these forces.MethodsThe search methodology employed in this systematic review adhered to the guidelines outlined by PRISMA. The strategy involved the exploration of various databases, including PubMed/MEDLINE, SCOPUS and SCIELO. An assessment tool was employed to evaluate the bias risk and study quality.ResultsThis systematic review encompassed six prospective clinical studies involving a total of 89 participants. Wireless sensors for measuring occlusal forces and bite forces were predominantly employed in healthy adults or individuals with bruxism, along with children undergoing orthodontic treatment. All wireless sensors employed in the studies underwent validation and reproducibility assessments, affirming their reliability. The findings indicated that all wireless sensors exhibited efficacy in detecting occlusal forces and bite forces.ConclusionWireless sensors offer real‐time monitoring of occlusal and bite forces, aiding in understanding force distribution and identifying bruxism patterns. Despite limited studies on their application, these sensors contribute to evolving insights. Integration into clinical practice requires careful consideration of factors like calibration and patient compliance. Ongoing research is crucial to address limitations and enhance the efficacy of wireless sensors in measuring occlusal and bite forces and managing bruxism.

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Section: Percentage Score Of Compliancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Efficacy of wireless sensors in assessing occlusal and bite forces: A systematic review

Ardila,

Jiménez‐Arbeláez,

Vivares‐Builes

2024

J of Oral Rehabilitation

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Advanced Sensing System for Sleep Bruxism across Multiple Postures via EMG and Machine Learning

Gul,

Fatima,

Mohy Ud Din

et al. 2024

Sensors

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Diagnosis of bruxism is challenging because not all contractions of the masticatory muscles can be classified as bruxism. Conventional methods for sleep bruxism detection vary in effectiveness. Some provide objective data through EMG, ECG, or EEG; others, such as dental implants, are less accessible for daily practice. These methods have targeted the masseter as the key muscle for bruxism detection. However, it is important to consider that the temporalis muscle is also active during bruxism among masticatory muscles. Moreover, studies have predominantly examined sleep bruxism in the supine position, but other anatomical positions are also associated with sleep. In this research, we have collected EMG data to detect the maximum voluntary contraction of the temporalis and masseter muscles in three primary anatomical positions associated with sleep, i.e., supine and left and right lateral recumbent positions. A total of 10 time domain features were extracted, and six machine learning classifiers were compared, with random forest outperforming others. The models achieved better accuracies in the detection of sleep bruxism with the temporalis muscle. An accuracy of 93.33% was specifically found for the left lateral recumbent position among the specified anatomical positions. These results indicate a promising direction of machine learning in clinical applications, facilitating enhanced diagnosis and management of sleep bruxism.

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Digital methods for diagnosing dental occlusion disorders

Yarygina,

Poroyskiy,

Makedonova

et al. 2024

Parodontologiâ

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Relevance. Occlusal disorders are not only predictors of oral diseases but are also associated with systemic conditions such as endocrine, cardiovascular, and cognitive disorders, highlighting their broader significance in medicine. The digitization of diagnostic processes and the integration of computer technologies into traditional methods offer promising advancements in assessing occlusal status. This makes the analysis of digital methods for diagnosing occlusal relationship disorders particularly relevant.Purpose. To evaluate digital methods and devices used for diagnosing occlusal relationship disorders.Material and methods. A systematic review was conducted, analyzing 40 scientific publications from 2016 to 2024 that focus on digital methods for diagnosing occlusal imbalance. The study assessed electronic devices that measure occlusal force by converting mechanical force into electrical signals using various sensors. These digital methods are employed to evaluate the functional state of the masticatory system, including the detection of temporomandibular joint disorders, mandibular fractures, and occlusal deformities, as well as to monitor occlusal force dynamics during treatment. Recent advancements in portable electronic sensors suggest potential applications for their integration with control chips into dental prostheses or occlusal stabilization splints, allowing real-time monitoring of tooth compression forces, potentially enhanced by artificial intelligence.Results. The development of new diagnostic methods and devices equipped with highly sensitive sensors for measuring masticatory pressure opens new avenues for identifying clinical parameters that were previously difficult to analyze. Recent advances in hardware technology, particularly those utilizing neural network analysis, have the potential to expedite accurate diagnosis and predict the risk of complications.Conclusion. Both in Russia and internationally, significant progress is being made in the development of digital methods for diagnosing occlusal imbalance. These methods are poised to become a priority in the future of dental practice. However, the adoption of digital occlusal methods into routine dental practice is currently hindered by challenges related to the availability of digital equipment in clinics and the insufficient digital skills of many dentists. Addressing these challenges is crucial for improving the quality of dental care for patients with occlusal disorders.

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Design and Implement Strategy of Wireless Bite Force Device

Cited by 3 publications

References 33 publications

Efficacy of wireless sensors in assessing occlusal and bite forces: A systematic review

Efficacy of wireless sensors in assessing occlusal and bite forces: A systematic review

Advanced Sensing System for Sleep Bruxism across Multiple Postures via EMG and Machine Learning

Digital methods for diagnosing dental occlusion disorders

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