Bruxism Detection System Synchronizing Force and Myoelectric Sensors
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Solution Overview
Problem
Existing methods for detecting human bruxism, such as those using force sensors or myoelectric sensors, often struggle to accurately distinguish between data caused by bruxism and data not caused by bruxism, due to similarities in output from non-bruxism related activities like tongue or lip movement, or eyelid closure.
Innovation Solution
A detection system comprising a detection device with a force sensor integrated into a mouthpiece and a myoelectric sensor attachable to the cheek, along with a controller that synchronizes the output of both sensors. This system processes data to differentiate between bruxism and other activities through machine learning-based classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only a force sensor is used for detection, then the device structure is simple, but the detection precision is insufficient to distinguish bruxism from other activities
Solution Approach 1:
The patent combines a force sensor and a myoelectric sensor into a single detection device. The force sensor detects forces applied to the mouthpiece, while the myoelectric sensor detects muscle activity in the cheek. By merging these two sensing mechanisms, the system achieves more precise detection that can distinguish bruxism from other activities like tongue or lip movement, resolving the contradiction between detection precision and device complexity.
2Measurement precision
If only a myoelectric sensor is used for detection, then the device structure is simple, but the detection precision is insufficient to distinguish bruxism from other activities
Solution Approach 1:
The patent merges a myoelectric sensor that detects cheek muscle activity with a force sensor that detects forces on the mouthpiece. This combination allows the system to differentiate between bruxism-related muscle activity and force, and other activities like eyelid closure that may produce similar myoelectric signals. The merged sensing approach resolves the contradiction by achieving high detection precision while maintaining reasonable device complexity through integrated design.
3Measurement precision
If multiple sensors are used for detection, then the detection precision is improved, but the device complexity increases
Solution Approach 1:
The patent integrates multiple sensors (force sensor and myoelectric sensor) into a single unified detection device with a common controller that synchronizes their outputs. This merging approach allows the system to achieve high detection precision through multi-parameter sensing while managing device complexity through integrated housing and synchronized data processing. The controller correlates signals from both sensors to accurately identify bruxism events, resolving the contradiction between precision and complexity.
Data Source
AI summary
According to an aspect, a detection system includes: a detection device configured to perform sensing related to bruxism; and an information processing device configured to determine presence or absence of bruxism based on data indicating a result of sensing by the detection device. The detection device includes a force sensor disposed at a mouthpiece, a myoelectric sensor attachable to a human cheek, and a controller configured to output data in which an output of the force sensor is synchronized with an output of the myoelectric sensor.