CN110811551A - Oral cavity analysis system and method based on near infrared spectrum - Google Patents
Oral cavity analysis system and method based on near infrared spectrum Download PDFInfo
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Abstract
The invention discloses an oral cavity analysis system and an analysis method based on near infrared spectroscopy, which relate to the technical field of oral cavity detection, wherein the system comprises a handheld terminal and an analysis display terminal, wherein: the handheld terminal comprises a near infrared spectrum module and a first data transmission module; the analysis display terminal comprises a cloud analysis system, a second data transmission module and a display; the cloud analysis system comprises a near infrared spectrum analysis module. The method of the invention comprises the following steps: collecting near-infrared characteristic spectrum information in the oral cavity; sending the collected information to a cloud analysis system; and receiving and displaying analysis information fed back by the cloud analysis system. According to the invention, the near-infrared characteristic spectrum information in the oral cavity of the patient is collected through the handheld terminal, and the collected near-infrared characteristic spectrum information in the oral cavity is matched with the internal model of the module through the cloud analysis system, so that the diagnosis of the oral disease is assisted, and the system is convenient, efficient and accurate and does not influence the human health.
Description
Technical Field
The invention relates to the technical field of oral cavity detection, in particular to an oral cavity analysis system and an oral cavity analysis method based on near infrared spectrum.
Background
The oral cavity is the initial part of the digestive tract, and the oral health comprises that all tissues in the oral cavity such as teeth, gingiva, jawbone and the like are not damaged and keep a normal state, so that the normal function can be completed. People often neglect the influence on human health caused by oral unhealthy, for example, the heart disease prevalence rate of patients with oral cancer and gum problems caused by oral lumps or blisters is 4 times higher than that of ordinary people. With the development of medical technology and the improvement of living standard of people, more and more advanced technologies can be used for oral detection to assist doctors in effective diagnosis and treatment of patients.
Near infrared light is a wave of electromagnetic radiation between the visible and mid-infrared, and the american society for testing and materials defines the near infrared spectral region as 780-2526nm, the first non-visible region found in the absorption spectrum by humans. The near infrared spectrum region is consistent with the frequency combination of the vibration of the hydrogen-containing groups in the organic molecules and the absorption region of each level of frequency multiplication, the characteristic information of the hydrogen-containing groups in the organic molecules in the samples can be obtained by scanning the near infrared spectrum of the samples, the spectrum is identified by using a characteristic analysis method, the characteristics of components, content and the like in the samples can be obtained, and the near infrared spectrum analysis has the characteristics of convenience, high efficiency, accuracy and no influence on the health of human bodies.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an oral cavity analysis system and an oral cavity analysis method based on near infrared spectrum.
In order to achieve the purpose, the invention adopts the following technical scheme:
in one aspect, the invention provides an oral analysis system based on near infrared spectroscopy, which comprises a handheld terminal and an analysis display terminal, wherein:
the handheld terminal comprises a near infrared spectrum module and a first data transmission module;
the near infrared spectrum module is used for collecting near infrared characteristic spectrum information;
the first data transmission module is used for transmitting the information to the analysis display terminal;
the analysis display terminal comprises a cloud analysis system, a second data transmission module and a display; the cloud analysis system comprises a near infrared spectrum analysis module;
the near infrared spectrum analysis module is used for matching the collected near infrared spectrum characteristic information in the oral cavity with an internal module of the module and sending a matching result to the display through the second data transmission module;
the second data transmission module is used for receiving information transmitted by the handheld terminal, distributing the information to the cloud analysis system, and then transmitting an analysis result to the display, wherein the distribution is sent to a corresponding module of the cloud analysis system according to the information identifier;
the display is used for displaying the analyzed information.
The near-infrared characteristic spectrum information in the oral cavity of the patient is collected through the handheld terminal, the collected near-infrared characteristic spectrum information in the oral cavity is matched with the internal model of the module through the cloud analysis system, diagnosis of the oral disease is assisted, and the system is convenient, efficient, accurate and free of influence on human health.
Preferably, the handheld terminal further comprises an odor sensing module, wherein the odor sensing module is used for identifying odor information characteristics in the oral cavity, recording odor information and transmitting the information to the analysis display terminal through the first data transmission module;
the cloud analysis system further comprises an odor analysis module, the odor analysis module is used for detecting, distinguishing and identifying different odor samples and sending information to the display through the second data transmission module.
Set up smell sensing module and gather the smell information characteristic of patient's oral cavity, near-infrared characteristic spectral information of high in the clouds analytic system integrated analysis and smell information characteristic, the integrated analysis patient condition, it is more accurate.
Preferably, the handheld terminal further comprises a camera module, the camera module is used for taking a picture of the target part when the near infrared spectrum irradiates the target in the oral cavity, so as to form image information of the target part and transmit the information to the analysis display terminal through the first data transmission module;
the cloud analysis system further comprises an image recognition module, the image recognition module is used for enhancing the oral cavity internal picture shot by the camera module, the definition of the image is enhanced, interference is eliminated, the clearer oral cavity internal picture is obtained, and the oral cavity internal picture is sent to the display through the second data transmission module.
The camera module is arranged, so that a doctor can judge the condition of a patient more visually and accurately.
Preferably, the handheld terminal further comprises an illumination module, and the camera module is used as an auxiliary light source to illuminate the target part when the camera module takes an intraoral target picture, so that the imaging quality of the camera module is improved.
The imaging quality of the camera module can be improved by arranging the lighting module.
In another aspect, the present invention provides a method for oral cavity analysis based on near infrared spectroscopy, comprising the steps of:
s1, collecting near infrared characteristic spectrum information in the oral cavity;
s2, sending the collected information to a cloud analysis system;
and S3, receiving and displaying the analysis information fed back by the cloud analysis system.
The near-infrared characteristic spectrum information in the oral cavity of the patient is collected, so that the diagnosis of the oral disease is assisted, and the method is convenient, efficient and accurate and does not influence the human health.
Preferably, the cloud analysis system matches the received intraoral near infrared spectrum characteristic information with the module internal model, and feeds back a matching result.
The collected near infrared spectrum characteristic information in the oral cavity is matched with the internal model of the module through the cloud analysis system, so that the diagnosis of the oral disease is assisted, and the method is convenient, efficient and accurate and does not influence the human health.
Preferably, the step S1 further includes the steps of:
odor characteristic information in the oral cavity is collected, and the odor information is recorded.
The odor information characteristics in the oral cavity of the patient are collected, the cloud analysis system comprehensively analyzes the near-infrared characteristic spectrum information and the odor information characteristics, and the comprehensive analysis of the condition of the patient is more accurate.
Preferably, the cloud analysis system detects, distinguishes and identifies the received oral odor information, and feeds back the result.
Preferably, the step S1 further includes the steps of:
and photographing the target part when the near infrared spectrum irradiates the target in the oral cavity to form target part image information.
Has the advantages that:
1. the near-infrared characteristic spectrum information in the oral cavity of the patient is collected through the handheld terminal, and the collected near-infrared characteristic spectrum information in the oral cavity is matched with the internal model of the module through the cloud analysis system, so that the diagnosis of the oral disease is assisted, and the method is convenient, efficient and accurate and does not affect the human health;
2. the odor sensing module is arranged to collect odor information characteristics in the oral cavity of the patient, and the cloud analysis system comprehensively analyzes near-infrared characteristic spectrum information and odor information characteristics, so that the comprehensive analysis of the condition of the patient is more accurate;
3. the arrangement of the camera module is beneficial for doctors to judge the condition of the patient more intuitively and accurately;
4. the imaging quality of the camera module can be improved by arranging the lighting module;
5. the diagnosis of the oral disease is assisted by collecting the near-infrared characteristic spectrum information in the oral cavity of the patient, so that the method is convenient, efficient and accurate, and does not influence the health of the human body;
6. the collected near infrared spectrum characteristic information in the oral cavity is matched with the internal model of the module through the cloud analysis system, so that the diagnosis of the oral disease is assisted, and the method is convenient, efficient and accurate and does not influence the health of a human body;
7. the odor information characteristics in the oral cavity of the patient are collected, the cloud analysis system comprehensively analyzes the near-infrared characteristic spectrum information and the odor information characteristics, and the comprehensive analysis of the condition of the patient is more accurate.
8. The internal condition of the oral cavity of the patient is photographed, so that the condition of the patient can be judged more visually and accurately by a doctor.
Drawings
FIG. 1 is a block diagram of the system components of an embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings in which:
example (b):
as shown in fig. 1, an oral cavity analysis system based on near infrared spectrum comprises a handheld terminal and an analysis display terminal, wherein the handheld terminal can extend into the oral cavity of a patient, wherein:
the handheld terminal comprises a near infrared spectrum module and a first data transmission module;
the near infrared spectrum module is used for collecting near infrared characteristic spectrum information; the handheld terminal enters the oral cavity of a patient, various information data in the oral cavity of the patient are collected by the near infrared spectrum module and are transmitted to the analysis display terminal by the first data transmission module. The near infrared spectrum module mainly comprises a near infrared spectrometer, an object in the oral cavity, such as teeth, gums, internal ulceration and the like, is irradiated by a near infrared light source, the irradiated part and the near infrared light generate resonance to absorb the near infrared light with a certain frequency, and the near infrared characteristic spectrum information reflecting the components of the irradiated part is recorded by using an instrument.
The first data transmission module is used for transmitting the information to the analysis display terminal;
the analysis display terminal comprises a cloud analysis system, a second data transmission module and a display; the cloud analysis system comprises a near infrared spectrum analysis module;
the near infrared spectrum analysis module is used for matching the collected near infrared spectrum characteristic information in the oral cavity with an internal module of the module and sending a matching result to the display through the second data transmission module;
the second data transmission module is used for receiving information transmitted by the handheld terminal, distributing the information to the cloud analysis system, and then transmitting an analysis result to the display, wherein the distribution is sent to a corresponding module of the cloud analysis system according to the information identifier;
the display is used for displaying the analyzed information.
Taking the gum problem as an example, the specific implementation manner of the handheld terminal is that a doctor extends the handheld terminal into the oral cavity of a patient, the near infrared spectrum module is aligned with the gum target part to perform near infrared light emission, and after the near infrared characteristic spectrum information is recorded, the first data transmission module transmits the near infrared spectrum information of the gum to the analysis display terminal.
The near-infrared characteristic spectrum information in the oral cavity of the patient is collected through the handheld terminal, the collected near-infrared characteristic spectrum information in the oral cavity is matched with the internal model of the module through the cloud analysis system, diagnosis of the oral disease is assisted, and the system is convenient, efficient, accurate and free of influence on human health.
The near infrared spectrum analysis module is used for matching the collected intraoral near infrared spectrum characteristic information with the module internal model and sending a matching result to the display through the second data transmission module. The model, namely the near infrared spectrum characteristic model generated by modeling, takes the gum problem as an example, and the specific modeling steps are as follows:
a certain amount of healthy gum crowd samples, such as 80 cases, are selected, a near infrared spectrum analyzer is used for irradiating healthy gum tissues, and gum near infrared characteristic spectrum digitalized information is obtained to serve as a positive sample.
A certain amount of samples of gingivitis patients are selected, for example, 80 samples are irradiated on the gingivitis diseased part by using a near infrared spectrum analyzer, and the digitized information of the near infrared characteristic spectrum of the gingivitis is obtained as a negative sample.
A pattern recognition method is used for training classifiers for gingivitis, such as an Adaboost method, which combines a group of simple weak classifiers with limited number into a strong classifier. By utilizing the characteristic that the training errors can be converged and are infinitely close to 0, the selection which is the best in the current view is always made in the training process, only the weight of the feature data in the current iteration is focused, the high-weight data which are wrongly classified in the last iteration are classified correctly at this time to the greatest extent, and the overall optimum is not taken as the target of the iterative classification. In the actual training process, the Adaboost algorithm selects the features, namely the weak classifier corresponds to a feature value, in the iteration process, each iteration is to select an effective feature, and for the selected features, the weak classifier selects the most appropriate threshold value to enable the classification effect to be the best in the current iteration. Finally, all trained classifiers are combined into a strong classifier, in the example, 80 healthy gum crowds are used as positive samples, 80 gingivitis patient crowds are used as negative samples to carry out Adaboost algorithm training, and the trained classifier can carry out rapid classification and identification on the gum near-infrared characteristic spectrum.
The method is only an application example of near infrared spectrum analysis in oral disease analysis, does not limit the patent right of the patent, and can be used for modeling other oral diseases which can form near infrared characteristic spectrum, such as decayed teeth and the like; other pattern recognition methods can also be used for performing classification recognition on the near-infrared characteristic spectrum, such as a Support Vector Machine (SVM) method, a minimum adjacent distance method and the like.
In one embodiment, as shown in fig. 1, the handheld terminal further includes a smell sensing module, where the smell sensing module is configured to identify the characteristics of smell information in the oral cavity, record the smell information, and transmit the information to the analysis and display terminal through the first data transmission module;
the cloud analysis system further comprises an odor analysis module, the odor analysis module is used for detecting, distinguishing and identifying different odor samples and sending information to the display through the second data transmission module.
Set up smell sensing module and gather the smell information characteristic of patient's oral cavity, near-infrared characteristic spectral information of high in the clouds analytic system integrated analysis and smell information characteristic, the integrated analysis patient condition, it is more accurate.
Still taking the gum problem as an example, the specific implementation manner of the handheld terminal is that a doctor extends the handheld terminal into the oral cavity of a patient, the odor sensor collects odor information in the oral cavity, and meanwhile, the near infrared spectrum module is aligned to the gum target part to perform near infrared light emission, and when the recording of the near infrared characteristic spectrum information is completed. The first data transmission module transmits the near infrared spectrum information and the smell information of the gum to the analysis display terminal.
Analysis show terminal is with near infrared spectral information and smell information transmission to high in the clouds analytic system, and high in the clouds analytic system's near infrared spectral analysis module carries out the analysis to near infrared spectral information, and smell analytic module carries out the analysis to smell information, and near infrared spectral analysis module's principle is the same with the above, and smell analytic module also is called "electron nose", and the electron nose is one kind by having the chemical sensor array of part selectivity and the instrument of suitable pattern recognition system constitution, can discern simple or complicated smell. When the odor of the target environment is sucked into the air chamber of the sensor through the vacuum pump, the odor acts with each sensor in the air chamber, and the odor fingerprint of the sample can be sensed by the sensor and is identified and extracted through a special intelligent mode. Different odor samples can be detected, distinguished and identified by using different 'odor fingerprint' information of different samples. The classification of oral diseases can be correspondingly searched through the identified odor, so that a doctor is assisted to diagnose.
In one embodiment, as shown in fig. 1, the handheld terminal further includes a camera module, where the camera module is configured to take a picture of a target portion when the near infrared spectrum irradiates an oral target, form image information of the target portion, and transmit the information to the analysis display terminal through the first data transmission module;
the cloud analysis system further comprises an image recognition module, the image recognition module is used for enhancing the oral cavity internal picture shot by the camera module, the definition of the image is enhanced, interference is eliminated, the clearer oral cavity internal picture is obtained, and the oral cavity internal picture is sent to the display through the second data transmission module.
The camera module is arranged, so that a doctor can judge the condition of a patient more visually and accurately.
The camera module carries a pinhole camera, and takes a picture of a target part when the near infrared spectrum irradiates an oral target, so that image information of the target part is formed, and the camera module takes a picture after the near infrared spectrum module works in order not to influence the absorption of the near infrared spectrum. And when the near-infrared characteristic spectrum information is recorded, starting shooting by the camera module.
The image recognition module carries out enhancement processing on the oral cavity internal pictures shot by the camera module, and the image definition is enhanced, interference is eliminated and clearer oral cavity internal pictures are presented by adopting methods such as image balancing, sharpening, Laplace transform and the like.
In one embodiment, as shown in fig. 1, the handheld terminal further includes an illumination module, and the camera module is used as an auxiliary light source to illuminate the target region when the camera module takes an intra-oral target picture, so as to improve the imaging quality of the camera module. The lighting module is turned on when the camera module starts shooting, so as to assist shooting.
The imaging quality of the camera module can be improved by arranging the lighting module.
The invention also provides an oral cavity analysis method based on the near infrared spectrum, which comprises the following steps:
s1, collecting near infrared characteristic spectrum information in the oral cavity;
s2, sending the collected information to a cloud analysis system;
and S3, receiving and displaying the analysis information fed back by the cloud analysis system.
The near-infrared characteristic spectrum information in the oral cavity of the patient is collected, so that the diagnosis of the oral disease is assisted, and the method is convenient, efficient and accurate and does not influence the human health.
The near infrared characteristic spectrum information is collected by a near infrared spectrum module, the near infrared spectrum module mainly comprises a near infrared spectrometer, an oral cavity target such as teeth, gums, internal ulceration and the like is irradiated by a near infrared light source, an irradiated part and the near infrared light generate resonance to absorb the near infrared light with a certain frequency, and the near infrared characteristic spectrum information reflecting the components of the irradiated part is recorded by using an instrument.
The near infrared spectrum analysis module of the cloud analysis system completes analysis of near infrared characteristic spectrum information, and the analysis principle is as follows:
the near infrared spectrum analysis module is used for matching the collected intraoral near infrared spectrum characteristic information with the module internal model and sending a matching result to the display through the second data transmission module. The model, namely the near infrared spectrum characteristic model generated by modeling, takes the gum problem as an example, and the specific modeling steps are as follows:
a certain amount of healthy gum crowd samples, such as 80 cases, are selected, a near infrared spectrum analyzer is used for irradiating healthy gum tissues, and gum near infrared characteristic spectrum digitalized information is obtained to serve as a positive sample.
A certain amount of samples of gingivitis patients are selected, for example, 80 samples are irradiated on the gingivitis diseased part by using a near infrared spectrum analyzer, and the digitized information of the near infrared characteristic spectrum of the gingivitis is obtained as a negative sample.
A pattern recognition method is used for training classifiers for gingivitis, such as an Adaboost method, which combines a group of simple weak classifiers with limited number into a strong classifier. By utilizing the characteristic that the training errors can be converged and are infinitely close to 0, the selection which is the best in the current view is always made in the training process, only the weight of the feature data in the current iteration is focused, the high-weight data which are wrongly classified in the last iteration are classified correctly at this time to the greatest extent, and the overall optimum is not taken as the target of the iterative classification. In the actual training process, the Adaboost algorithm selects the features, namely the weak classifier corresponds to a feature value, in the iteration process, each iteration is to select an effective feature, and for the selected features, the weak classifier selects the most appropriate threshold value to enable the classification effect to be the best in the current iteration. Finally, all trained classifiers are combined into a strong classifier, in the example, 80 healthy gum crowds are used as positive samples, 80 gingivitis patient crowds are used as negative samples to carry out Adaboost algorithm training, and the trained classifier can carry out rapid classification and identification on the gum near-infrared characteristic spectrum.
The method is only an application example of near infrared spectrum analysis in oral disease analysis, does not limit the patent right of the patent, and can be used for modeling other oral diseases which can form near infrared characteristic spectrum, such as decayed teeth and the like; other pattern recognition methods can also be used for performing classification recognition on the near-infrared characteristic spectrum, such as a Support Vector Machine (SVM) method, a minimum adjacent distance method and the like.
In one embodiment, the cloud analysis system matches the received intra-oral near infrared spectrum characteristic information with the module internal model, and feeds back a matching result.
The collected near infrared spectrum characteristic information in the oral cavity is matched with the internal model of the module through the cloud analysis system, so that the diagnosis of the oral disease is assisted, and the method is convenient, efficient and accurate and does not influence the human health.
In one embodiment, the step S1 further includes the following steps:
odor characteristic information in the oral cavity is collected, and the odor information is recorded.
The odor information characteristics in the oral cavity of the patient are collected, the cloud analysis system comprehensively analyzes the near-infrared characteristic spectrum information and the odor information characteristics, and the comprehensive analysis of the condition of the patient is more accurate.
In one embodiment, the cloud analysis system detects, distinguishes and identifies the received intraoral odor information and feeds back the result.
The principle of analyzing the odor information by the odor analysis module of the cloud analysis system is as follows:
the odor analysis module is also called "electronic nose", an instrument consisting of an array of chemical sensors with partial selectivity and a suitable pattern recognition system, able to recognize simple or complex odors. When the odor of the target environment is sucked into the air chamber of the sensor through the vacuum pump, the odor acts with each sensor in the air chamber, and the odor fingerprint of the sample can be sensed by the sensor and is identified and extracted through a special intelligent mode. Different odor samples can be detected, distinguished and identified by using different 'odor fingerprint' information of different samples. The classification of oral diseases can be correspondingly searched through the identified odor, so that a doctor is assisted to diagnose.
In one embodiment, the step S1 further includes the following steps:
and photographing the target part when the near infrared spectrum irradiates the target in the oral cavity to form target part image information.
The internal condition of the oral cavity of the patient is photographed, so that the condition of the patient can be judged more visually and accurately by a doctor.
The photographing is carried out through the camera module, the camera module carries the pinhole camera, and when the near infrared spectrum irradiates the target in the oral cavity, the target part is photographed to form target part image information, and in order not to influence the absorption of the near infrared spectrum, the camera module photographs after the near infrared spectrum module works.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (9)
1. The utility model provides an oral cavity analytic system based on near infrared spectroscopy which characterized in that, includes handheld terminal and analysis show terminal, wherein:
the handheld terminal comprises a near infrared spectrum module and a first data transmission module;
the near infrared spectrum module is used for collecting near infrared characteristic spectrum information;
the first data transmission module is used for transmitting the information to the analysis display terminal;
the analysis display terminal comprises a cloud analysis system, a second data transmission module and a display; the cloud analysis system comprises a near infrared spectrum analysis module;
the near infrared spectrum analysis module is used for matching the collected near infrared spectrum characteristic information in the oral cavity with an internal module of the module and sending a matching result to the display through the second data transmission module;
the second data transmission module is used for receiving information transmitted by the handheld terminal, distributing the information to the cloud analysis system, and then transmitting an analysis result to the display, wherein the distribution is sent to a corresponding module of the cloud analysis system according to the information identifier;
the display is used for displaying the analyzed information.
2. The oral cavity analysis system based on the near infrared spectrum according to claim 1, wherein the hand-held terminal further comprises a smell sensing module, the smell sensing module is used for identifying the smell information characteristics in the oral cavity, recording the smell information and transmitting the information to the analysis display terminal through the first data transmission module;
the cloud analysis system further comprises an odor analysis module, the odor analysis module is used for detecting, distinguishing and identifying different odor samples and sending information to the display through the second data transmission module.
3. The oral cavity analysis system based on near infrared spectrum according to claim 1, wherein the hand-held terminal further comprises a camera module, the camera module is used for taking a picture of the target part when the near infrared spectrum irradiates the target in the oral cavity, forming image information of the target part and transmitting the information to the analysis display terminal through the first data transmission module;
the cloud analysis system further comprises an image recognition module, the image recognition module is used for enhancing the oral cavity internal picture shot by the camera module, the definition of the image is enhanced, interference is eliminated, the clearer oral cavity internal picture is obtained, and the oral cavity internal picture is sent to the display through the second data transmission module.
4. The near infrared spectroscopy-based oral analysis system of claim 3, wherein the handheld terminal further comprises an illumination module, and the camera module is used as an auxiliary light source when the camera module takes a picture of the target in the oral cavity.
5. An oral cavity analysis method based on near infrared spectrum is characterized by comprising the following steps:
s1, collecting near infrared characteristic spectrum information in the oral cavity;
s2, sending the collected information to a cloud analysis system;
and S3, receiving and displaying the analysis information fed back by the cloud analysis system.
6. The oral analysis method based on near infrared spectrum according to claim 5, wherein the cloud analysis system matches the received oral near infrared spectrum characteristic information with the module internal model, and feeds back the matching result.
7. The method for oral analysis based on near infrared spectroscopy of claim 5, wherein the step S1 further comprises the steps of:
odor characteristic information in the oral cavity is collected, and the odor information is recorded.
8. The method of claim 7, wherein the cloud analysis system detects, distinguishes and identifies the received oral odor information and feeds back the results.
9. The method for oral analysis based on near infrared spectroscopy of claim 5, wherein the step S1 further comprises the steps of:
and photographing the target part when the near infrared spectrum irradiates the target in the oral cavity to form target part image information.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111631681A (en) * | 2020-04-21 | 2020-09-08 | 上海市杨浦区市东医院 | Diagnosis system for detecting oral cancer based on infrared Fourier spectrum |
| CN114324191A (en) * | 2022-01-07 | 2022-04-12 | 柳州职业技术学院 | Smell survey system based on intelligent control |
| CN115797560A (en) * | 2022-11-28 | 2023-03-14 | 广州市碳码科技有限责任公司 | Head model construction method and system based on near infrared spectrum imaging |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105527246A (en) * | 2016-01-14 | 2016-04-27 | 昆明睿意铂科技股份有限公司 | Portable near infrared spectrum detection system |
| CN105973837A (en) * | 2016-05-13 | 2016-09-28 | 深圳市比特原子科技有限公司 | Detecting method and detecting system of organic matter |
| WO2018172103A1 (en) * | 2017-03-24 | 2018-09-27 | Henkel Ag & Co. Kgaa | Method and device for determining a condition of the mouth |
| CN109645961A (en) * | 2019-01-23 | 2019-04-19 | 范玉宏 | A kind of examination of mouth system |
-
2019
- 2019-10-16 CN CN201910985167.0A patent/CN110811551A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105527246A (en) * | 2016-01-14 | 2016-04-27 | 昆明睿意铂科技股份有限公司 | Portable near infrared spectrum detection system |
| CN105973837A (en) * | 2016-05-13 | 2016-09-28 | 深圳市比特原子科技有限公司 | Detecting method and detecting system of organic matter |
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