Gingivitis Detector Probe Positioning via Slope Signal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current gingivitis detection using diffuse reflective spectroscopy (DRS) faces challenges due to the difficulty in accurately positioning probes in hard-to-reach oral cavity areas, leading to disrupted measurements and inclusion of specular reflected light, which complicates the detection of diffuse reflected light and reduces measurement accuracy.
Innovation Solution
An oral healthcare system employing a light emitter and detector configured to emit and detect diffuse reflected light, utilizing a wavelength-sensitive slope detector to provide user feedback for precise probe positioning and selecting the best measurement signal, independent of specular reflection, by analyzing signals from hemoglobin-dominated and tissue-dominated wavelength ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-contact mode is used for DRS measurement, then tissue pressure is reduced and blood displacement is avoided, but specular reflected light is detected in addition to diffuse reflected light
Solution Approach 1:
The patent extracts and removes the harmful specular reflected light component from the measurement signal through computational processing. The system separates specular and diffuse reflection components using polarization analysis and signal processing algorithms, then discards the specular component to retain only the useful diffuse reflected light for accurate DRS measurement.
Solution Approach 2:
The patent changes the polarization state parameter of light to differentiate between specular and diffuse reflection. By using polarized light sources and polarization-sensitive detectors, the system exploits the different polarization characteristics of specular and diffuse reflected light to separate and eliminate the harmful specular component while preserving the useful diffuse signal.
2Ease of operation
If small angled probes are used to reach interproximal areas, then access to hard-to-reach locations is improved, but large pressure is exerted on tissue pushing away blood
Solution Approach 1:
The patent replaces the mechanical contact-based probing system with a non-contact optical measurement system. Instead of using physical probes that exert mechanical pressure on tissue, the system uses light emission and detection to perform DRS measurements from a distance, eliminating the mechanical pressure problem while maintaining access to interproximal areas.
3Reliability
If diffuse reflected light is measured in non-contact mode, then tissue integrity is maintained, but the highly attenuated diffuse reflected light signal is contaminated by specular components
Solution Approach 1:
The patent introduces polarization analysis as an intermediary mechanism to separate the mixed light signal. By using polarized light sources and polarization-sensitive detectors, the system creates an intermediate polarization-based classification system that allows differentiation and separation of specular and diffuse reflection components, enabling pure diffuse signal extraction without tissue contact.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables more accurate and precise detection of tissue inflammation, specifically gingivitis, by providing real-time feedback for optimal probe placement and selecting the best measurement signal, thereby improving the sensitivity and reliability of gingivitis detection.
Implementation Method 1
detecting, via a light detector, optical signals diffusely reflected through the tissue region
Implementation Method 2
a wavelength-sensitive slope detector configured to measure a reflected light slope from two or more wavelengths, where at least one wavelength is taken from a hemoglobin-dominated wavelength range
Data Source
AI summary
A system (100) for detecting tissue inflammation, and gingivitis specifically, including a light emitter (102) configured to emit light at a tissue region (104) within a user's mouth; a light detector (106) configured to detect optical signals diffusely reflected through the tissue region over a period of time; a controller (130) configured to: determine a slope signal (Q) based on at least two signals (R(λ1), R(λ2)) from the optical signals, the at least two signals including at least one signal from a hemoglobin-dominated wavelength range; determine one or more characteristics of the slope signal; and select a best measurement signal based on the one or more characteristics of the slope signal. The system further includes a user interface (116) configured to provide information regarding a position of a probe for accurate detection of tissue inflammation based on the one or more characteristics of the slope signal.