A remote monitoring system for dental orthodontics

Abstract

The present invention relates to the technical field of dental orthodontics, and specifically, to a remote monitoring system for dental orthodontics. It includes a key part identification unit and a recording interval preset unit. In the present invention, the key part identification unit is set to preset the threshold value of the severity of dental abnormalities of the patient, and the abnormal teeth exceeding the threshold value of the severity of dental abnormalities of the patient are identified as key points. The recording interval preset unit formulates corresponding shooting time intervals for teeth with different degrees of abnormality according to the identification information, and can conduct comparative analysis through multiple groups of images, more comprehensively analyze the orthodontic recovery situation of the teeth with severe abnormalities of the patient, conduct rough monitoring on the positions of teeth with relatively low degrees of abnormality, and more quickly obtain the recovery situation of the key parts of dental orthodontics, thereby improving the ability of medical staff to identify the dental orthodontic information of the patient, make timely judgments, and provide corresponding solutions for the patient.

Description

Technical Field

[0001] The present invention relates to the technical field of tooth correction, and specifically, to a remote monitoring system for tooth correction. Background Art

[0002] Tooth correction is a surgery for treating malocclusion through methods such as orthodontics or surgery. Generally, the correction takes about one and a half to two years. The treatment time for complex malocclusions is longer than that for simple malocclusions, and the treatment time for skeletal malformations is longer than that for simple dental malformations. The treatment time also needs to be analyzed according to specific situations. After the correction is completed, a retainer generally needs to be worn for about one and a half years.

[0003] Since the time for wearing the retainer is generally long, and tooth correction is a process of gradually wearing in the teeth by the retainer over time. As time changes, the corrected teeth gradually fix with the gums, but the patient's behavior habits will also affect the direction of tooth correction. During the process of wearing the retainer, the patient generally stays at home and does not contact the medical staff for a long time. When the patient's tooth correction shows adverse conditions due to bad behavior habits, at this time, the patient cannot discover the problem in time from a professional perspective, and at the same time, the medical staff cannot stop the patient immediately, resulting in the failure of the patient's tooth correction. Therefore, there is an urgent need for a remote monitoring system for tooth correction. Summary of the Invention

[0004] The purpose of the present invention is to provide a remote monitoring system for tooth correction to solve the problems raised in the above background art.

[0005] To achieve the above purpose, a remote monitoring system for tooth correction is provided, including a camera monitoring unit for photographing and monitoring the patient's tooth area. The output end of the camera monitoring unit is connected to a patient tooth abnormality recognition unit, which is used to analyze the patient's tooth abnormality degree, identify different positions of teeth according to the severity of tooth displacement, and generate identification information. The output end of the patient tooth abnormality recognition unit is connected to a key part identification unit, which presets a patient tooth abnormality severity threshold according to the identification information and focuses on identifying the abnormal teeth exceeding the patient tooth abnormality severity threshold. The output end of the patient tooth abnormality recognition unit is also connected to a recording interval preset unit, the input end of which is connected to the output end of the key part identification unit. The recording interval preset unit formulates corresponding shooting time intervals for teeth with different abnormality degrees according to the identification information. The output end of the recording interval preset unit is connected to a monitoring information summarization unit, the input end of which is connected to the input end of the key part identification unit. The monitoring information summarization unit is used to summarize the monitoring information of the patient's teeth at different positions and generate summary information.

[0006] As a further improvement of the present technical solution, the patient tooth abnormality recognition unit includes a judgment criterion formulation module, which is used to formulate judgment criteria for judging the severity of teeth at different positions of the patient. The output end of the judgment criterion formulation module is connected to an abnormal severity threshold formulation module, and the output end of the abnormal severity threshold formulation module is connected to a severity ranking and classification module.

[0007] As a further improvement of the present technical solution, the patient tooth abnormality recognition unit adopts an abnormality calculation algorithm, and its algorithm formula is as follows:

[0008] ;

[0009] ;

[0010] ;

[0011] Among them, is the set of tooth abnormality values at each position, to are the tooth abnormality values at each position. n represents that the patient has n abnormal teeth. is the abnormal severity threshold, is the abnormal severity calculation function, is the tooth abnormality value of the tooth to be verified input. When the input tooth abnormality value a to be verified is less than the abnormal severity threshold , at this time, the abnormal severity calculation function outputs 0, indicating that the tooth abnormality value of the abnormal tooth at this position is relatively low and is classified as a low-class tooth abnormality. When the input tooth abnormality value a to be verified is not less than the abnormal severity threshold , the abnormal severity calculation function outputs 1, indicating that the tooth abnormality value of the abnormal tooth at this position is relatively high and is classified as a high-class tooth abnormality.

[0012] As a further improvement of the present technical solution, the output end of the monitoring information summary unit is connected to a monitoring image comparison unit, which is used to compare the tooth images taken at the same position of the teeth at different times to generate difference information.

[0013] As a further improvement of the present technical solution, the input end of the monitoring image comparison unit is connected to a patient initial image storage unit. The output end of the patient initial image storage unit is connected to the input end of the patient tooth abnormality recognition unit. The patient initial image storage unit is used to store the tooth images of the patient before correction and the images of the desired effect after the patient is corrected.

[0014] As a further improvement of the technical solution, the patient initial image storage unit includes an initial tooth image pre-storage module for storing the tooth images of the patient before orthodontics. The patient initial image storage unit further includes an expected tooth image pre-storage module for storing the images of the desired effect after the patient's orthodontics. The output end of the expected tooth image pre-storage module is connected to a tooth orthodontic direction simulation module, and the input end of the tooth orthodontic direction simulation module is connected to the output end of the initial tooth image pre-storage module.

[0015] As a further improvement of the technical solution, the output end of the monitoring image comparison unit is connected to an orthodontic situation self-analysis unit, which analyzes whether the orthodontic direction of the patient's teeth is normal according to the difference information.

[0016] As a further improvement of the technical solution, the orthodontic situation self-analysis unit includes a deviation degree calculation module for calculating the deviation degree between the tooth images at two adjacent time points. The output end of the deviation degree calculation module is connected to a deviation threshold setting module for setting the deviation threshold, and the output end of the deviation threshold setting module is connected to a comparison result output module.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0018] 1. In the remote monitoring system used for tooth orthodontics, by setting the key part identification unit to preset the threshold of the patient's tooth abnormality severity, the abnormal teeth exceeding the patient's tooth abnormality severity threshold are identified as key points. The recording interval unit formulates corresponding shooting time intervals for teeth with different abnormality degrees according to the identification information, and can conduct comparative analysis through multiple groups of images to more comprehensively analyze the orthodontic recovery situation of the patient's severely abnormal teeth. For some tooth positions with lower abnormality degrees, rough monitoring is carried out to more quickly obtain the recovery situation of the key parts of tooth orthodontics, thereby improving the medical staff's ability to identify the patient's tooth orthodontic information, making timely judgments, and providing corresponding solutions for the patient.

[0019] 2. In the remote monitoring system used for tooth orthodontics, the monitoring information summary unit summarizes the monitoring information of the patient's teeth at different positions, generates summary information, and transmits the summary information to the monitoring image comparison unit. The monitoring image comparison unit compares the tooth images at the same position provided at different time points, processes the tooth images at the same position taken in two adjacent time periods, obtains the differences between the two images, and generates difference information, and sends the difference information and the summary information to the medical staff together to help the medical staff more intuitively obtain the orthodontic trends of the patient's teeth at different positions, judge whether correct adjustments are needed, and reduce the workload of the medical staff.

[0020] 3. In the remote monitoring system used for tooth correction, the patient initial image storage unit stores the tooth images of the patient before correction and the images of the desired effect after correction, generates the information of the uncorrected tooth images and the information of the desired effect images, and transmits the information of the uncorrected tooth images and the information of the desired effect images to the monitoring image comparison unit. The monitoring image comparison unit compares the tooth images taken at different time points with the tooth images before correction, and at the same time compares them with the images of the desired effect after correction by the patient, determines whether the correction result is in the correction direction expected by the patient. When the correction direction is inconsistent with the patient's expectation, timely correction adjustments are made, and a new round of image comparison is carried out later until the final correction result reaches the correction direction expected by the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is the overall flowchart of the present invention;

[0022] Figure 2 is the flowchart of the patient tooth abnormality recognition unit of the present invention;

[0023] Figure 3 is the flowchart of the patient initial image storage unit of the present invention;

[0024] Figure 4 is the flowchart of the self-analysis unit for correction situation of the present invention.

[0025] The meanings of the various reference numerals in the drawings are as follows:

[0026] 10. Camera monitoring unit;

[0027] 20. Patient tooth abnormality recognition unit; 210. Judgment standard formulation module; 220. Abnormality severity threshold formulation module; 230. Severity ranking and classification module;

[0028] 30. Key part identification unit;

[0029] 40. Recording interval preset unit;

[0030] 50. Monitoring information summary unit;

[0031] 60. Monitoring image comparison unit;

[0032] 70. Patient initial image storage unit; 710. Initial tooth image pre-storage module; 720. Expected tooth image pre-storage module; 730. Tooth correction direction simulation module;

[0033] 80. Self-analysis unit for correction situation; 810. Deviation degree calculation module; 820. Deviation degree threshold formulation module; 830. Comparison result output module. DETAILED DESCRIPTION OF THE INVENTION

[0034] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] Please refer to Figures 1 - 4 As shown, a remote monitoring system for dental orthodontics is provided, including a camera monitoring unit 10. The camera monitoring unit 10 is used to perform camera monitoring on the patient's tooth area. The output end of the camera monitoring unit 10 is connected to a patient tooth abnormality recognition unit 20. The patient tooth abnormality recognition unit 20 is used to analyze the patient's tooth abnormality degree, and identify the teeth at different positions according to the severity of tooth ectopia, generating identification information. The output end of the patient tooth abnormality recognition unit 20 is connected to a key part identification unit 30. The key part identification unit 30 presets a threshold value for the severity of the patient's tooth abnormality according to the identification information, and key-identifies the abnormal teeth exceeding the threshold value of the severity of the patient's tooth abnormality. The output end of the patient tooth abnormality recognition unit 20 is also connected to a recording interval preset unit 40. The input end of the recording interval preset unit 40 is connected to the output end of the key part identification unit 30. The recording interval preset unit 40 formulates corresponding shooting time intervals for teeth with different abnormality degrees according to the identification information. The output end of the recording interval preset unit 40 is connected to a monitoring information summarization unit 50. The input end of the monitoring information summarization unit 50 is connected to the input end of the key part identification unit 30. The monitoring information summarization unit 50 is used to summarize the monitoring information of the patient's teeth at different positions, generating summary information.

[0036] During specific use, the camera monitoring unit 10 monitors the teeth of the patient through camera, and the patient tooth abnormality recognition unit 20 analyzes the tooth abnormality of the patient, and marks the teeth at different positions according to the severity of tooth displacement, generates marking information, and transmits the marking information to the key part marking unit 30 and the recording interval preset unit 40. The key part marking unit 30 presets the threshold of the severity of the patient's tooth abnormality according to the marking information, and focuses on identifying the abnormal teeth that exceed the threshold of the severity of the patient's tooth abnormality (for example, taking the gap between two teeth of the patient as the standard for measuring tooth abnormality, stipulating that the gap of 3 mm between two teeth is the threshold of the severity of the patient's tooth abnormality, and the two teeth with a gap exceeding 3 mm are the key abnormalities). The recording interval preset unit 40 formulates corresponding shooting time intervals for teeth with different abnormality degrees according to the marking information. For the teeth at positions with higher abnormality degrees, the shooting interval is shorter, and the number of images obtained by shooting at this position will increase, enabling comparative analysis through multiple groups of images. Subsequently, the image information obtained from the shooting monitoring is transmitted to the monitoring information summarizing unit 50. The monitoring information summarizing unit 50 is used to summarize the monitoring information of the teeth at different positions of the patient, generate summary information, and transmit the summary information to the medical staff.

[0037] In the present invention, by setting the key part marking unit 30 to preset the threshold of the severity of the patient's tooth abnormality, and focusing on identifying the abnormal teeth that exceed the threshold of the severity of the patient's tooth abnormality, the recording interval preset unit 40 formulates corresponding shooting time intervals for teeth with different abnormality degrees according to the marking information. For the teeth at positions with higher abnormality degrees, the shooting interval is shorter, and the number of images obtained by shooting at this position will increase, enabling comparative analysis through multiple groups of images, and more comprehensively analyzing the orthodontic recovery situation of the patient's severely abnormal teeth. For some teeth positions with lower abnormality degrees, rough monitoring is carried out to more quickly obtain the recovery situation of the key parts of tooth orthodontics, thereby improving the medical staff's ability to identify the patient's tooth orthodontic information, making timely judgments, and providing corresponding solutions for the patient.

[0038] In addition, the patient tooth abnormality recognition unit 20 includes a judgment criterion formulation module 210, which is used to formulate judgment criteria to judge the severity of the patient's teeth at different positions. The output end of the judgment criterion formulation module 210 is connected to an abnormal severity threshold formulation module 220, and the output end of the abnormal severity threshold formulation module 220 is connected to a severity ranking and classification module 230. When in specific use, the judgment criterion formulation module 210 formulates judgment criteria to judge the severity of the patient's teeth at different positions, generates standard judgment information, and transmits the standard judgment information to the abnormal severity threshold formulation module 220. The abnormal severity threshold formulation module 220 formulates corresponding abnormal severity thresholds according to the standard judgment information, compares the tooth abnormality values at different positions with the abnormal severity thresholds, generates comparison information, and transmits the comparison information to the severity ranking and classification module 230. The severity ranking and classification module 230 classifies the teeth at different positions according to the comparison information for subsequent monitoring and processing based on the abnormality values.

[0039] Further, the patient tooth abnormality recognition unit 20 adopts an abnormality calculation algorithm, and its algorithm formula is as follows:

[0040] ;

[0041] ;

[0042] ;

[0043] Among them, is the set of tooth abnormality values at each position, to are the tooth abnormality values at each position, n represents that the patient has n abnormal teeth, is the abnormal severity threshold, is the abnormal severity calculation function, is the tooth abnormality value to be verified as input. When the input tooth abnormality value a to be verified is less than the abnormal severity threshold , at this time, the abnormal severity calculation function outputs 0, indicating that the tooth abnormality value of the abnormal tooth at this position is relatively low and belongs to the low-class tooth abnormality. When the input tooth abnormality value a to be verified is not less than the abnormal severity threshold , the abnormal severity calculation function outputs 1, indicating that the tooth abnormality value of the abnormal tooth at this position is relatively high and belongs to the high-class tooth abnormality.

[0044] Furthermore, the output end of the monitoring information summarization unit 50 is connected to a monitoring image comparison unit 60, which is used to compare dental images of the same tooth position taken at different times and generate difference information. Specifically, in use, the monitoring information summarization unit 50 summarizes the monitoring information of the teeth at different positions of the patient to generate summary information, and transmits the summary information to the monitoring image comparison unit 60. The monitoring image comparison unit 60 compares the dental images of the same position provided at different time points, processes the comparison of the dental images of the same position taken in two adjacent time periods, obtains the differences between the two images, generates difference information, and sends the difference information and the summary information to the medical staff together, helping the medical staff to more intuitively obtain the orthodontic trends of the teeth at different positions of the patient, judge whether correct adjustments are needed, and reduce the workload of the medical staff.

[0045] Specifically, the input end of the monitoring image comparison unit 60 is connected to a patient initial image storage unit 70, and the output end of the patient initial image storage unit 70 is connected to the input end of the patient dental abnormality recognition unit 20. The patient initial image storage unit 70 is used to store the dental images of the patient before orthodontics and the images of the desired effect after orthodontics. The patient initial image storage unit 70 stores the dental images of the patient before orthodontics and the images of the desired effect after orthodontics, generates uncorrected dental image information and expected effect image information, and transmits the uncorrected dental image information and the expected effect image information to the monitoring image comparison unit 60. The monitoring image comparison unit 60 compares the dental images taken at different time points with the dental images before orthodontics, and at the same time compares them with the images of the desired effect after orthodontics of the patient, judges whether the orthodontic result is in the orthodontic direction expected by the patient, and makes orthodontic adjustments in a timely manner when it is inconsistent with the orthodontic direction expected by the patient. Later, a new round of image comparison is carried out until the final orthodontic result reaches the orthodontic direction expected by the patient.

[0046] In addition, the patient initial image storage unit 70 includes an initial dental image pre-storage module 710, which is used to store the dental images of the patient before orthodontics. The patient initial image storage unit 70 also includes an expected dental image pre-storage module 720, which is used to store the images of the desired effect after the patient's orthodontics. The output end of the expected dental image pre-storage module 720 is connected to a dental orthodontic direction simulation module 730, and the input end of the dental orthodontic direction simulation module 730 is connected to the output end of the initial dental image pre-storage module 710. In specific use, the initial dental image pre-storage module 710 stores the dental images of the patient before orthodontics, generates uncorrected image information, and transmits the uncorrected image information to the dental orthodontic direction simulation module 730. The expected dental image pre-storage module 720 stores the images of the desired effect after the patient's orthodontics, generates expected image information, and transmits the expected image information to the dental orthodontic direction simulation module 730. The dental orthodontic direction simulation module 730 combines the expected image information and the uncorrected image information to obtain the period that the patient's teeth need to go through from the uncorrected state to the expected state and the state of the teeth at each period point, so as to help medical staff judge more quickly whether the orthodontic direction is consistent with the patient's expectation.

[0047] Furthermore, the output end of the monitoring image comparison unit 60 is connected to an orthodontic situation self-analysis unit 80, and the orthodontic situation self-analysis unit 80 analyzes whether the orthodontic direction of the patient's teeth is normal according to the difference information. In specific use, the monitoring image comparison unit 60 compares the dental images of the same tooth taken at different times, generates difference information, and transmits the difference information to the orthodontic situation self-analysis unit 80. The orthodontic situation self-analysis unit 80 formulates a deviation threshold according to the difference information. When there is a deviation between two images at adjacent time points, the deviation degree is obtained and compared with the deviation threshold. When the deviation degree is lower than the deviation threshold, it indicates that the deviation degree does not affect the orthodontic direction of the patient. When the deviation degree is higher than the deviation threshold, it indicates that the deviation degree will affect the orthodontic direction of the patient, and the orthodontic plan needs to be adjusted by medical staff to avoid further change in the orthodontic direction of the patient's teeth, resulting in irreparable consequences in the later stage.

[0048] Further, the orthodontic situation self-analysis unit 80 includes a deviation degree calculation module 810, which is configured to calculate the deviation degree between dental images at two adjacent time points. The output end of the deviation degree calculation module 810 is connected to a deviation degree threshold setting module 820, which is configured to set a deviation threshold. The output end of the deviation degree threshold setting module 820 is connected to a comparison result output module 830. In specific use, the deviation degree calculation module 810 calculates the deviation degree between dental images at two adjacent time points, generates deviation degree information, and transmits the deviation degree information to the deviation degree threshold setting module 820. The deviation degree threshold setting module 820 sets a deviation degree threshold according to the deviation degree information, generates deviation degree threshold information, and transmits the deviation threshold information to the comparison result output module 830. The comparison result output module 830 compares each deviation degree with the corresponding deviation degree threshold, so as to determine whether the orthodontic deviation affects the patient's expected orthodontic direction.

[0049] The foregoing shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A remote monitoring system for dental orthodontics, comprising a camera monitoring unit (10), wherein the camera monitoring unit (10) is used for camera monitoring of the patient's tooth area, and is characterized in that: The output end of the camera monitoring unit (10) is connected to the patient tooth abnormality recognition unit (20). The patient tooth abnormality recognition unit (20) is used to analyze the patient tooth abnormality, identify teeth at different positions according to the severity of tooth ectopia, and generate identification information. The output end of the patient tooth abnormality recognition unit (20) is connected to the key part identification unit (30). The key part identification unit (30) presets the patient tooth abnormality severity threshold according to the identification information, and focuses on identifying abnormal teeth exceeding the patient tooth abnormality severity threshold. The output end of the patient tooth abnormality recognition unit (20) is also connected to the recording interval preset unit (40). The input end of the recording interval preset unit (40) is connected to the output end of the key part identification unit (30). The recording interval preset unit (40) formulates corresponding shooting time intervals for teeth with different abnormality degrees according to the identification information. The output end of the recording interval preset unit (40) is connected to the monitoring information summarizing unit (50). The input end of the monitoring information summarizing unit (50) is connected to the input end of the key part identification unit (30). The monitoring information summarizing unit (50) is used to summarize the monitoring information of teeth at different positions of the patient and generate summary information.

2. The remote monitoring system for dental orthodontics according to claim 1, wherein: The patient tooth abnormality recognition unit (20) includes a judgment standard formulation module (210). The judgment standard formulation module (210) is used to formulate judgment standards to judge the severity of teeth at different positions of the patient. The output end of the judgment standard formulation module (210) is connected to an abnormality severity threshold formulation module (220). The output end of the abnormality severity threshold formulation module (220) is connected to a severity ranking and classification module (230).

3. The remote monitoring system for dental orthodontics according to claim 2, wherein: The patient tooth abnormality recognition unit (20) adopts an abnormality calculation algorithm, and its algorithm formula is as follows: ； ； ； Among them, is the set of tooth anomaly values at each position, to are the tooth anomaly values at each position. n represents that the patient has n abnormal teeth. is the anomaly severity threshold, is the anomaly severity calculation function, is the input tooth anomaly value to be verified. When the input tooth anomaly value a to be verified is less than the anomaly severity threshold , at this time, the anomaly severity calculation function outputs 0, indicating that the tooth anomaly value of the abnormal tooth at this position is relatively low and is classified as a low-class tooth anomaly. When the input tooth anomaly value a to be verified is not less than the anomaly severity threshold , the anomaly severity calculation function outputs 1, indicating that the tooth anomaly value of the abnormal tooth at this position is relatively high and is classified as a high-class tooth anomaly.

4. The remote monitoring system for dental orthodontics according to claim 1, characterized in that: The output end of the monitoring information summarizing unit (50) is connected to a monitoring image comparison unit (60). The monitoring image comparison unit (60) is used to compare tooth images of the same tooth position taken at different times and generate difference information.

5. The remote monitoring system for dental orthodontics according to claim 4, characterized in that: The input end of the monitoring image comparison unit (60) is connected to a patient initial image storage unit (70). The output end of the patient initial image storage unit (70) is connected to the input end of the patient tooth abnormality recognition unit (20). The patient initial image storage unit (70) is used to store the tooth images of the patient before correction and the images of the desired effect after correction.

6. The remote monitoring system for dental orthodontics according to claim 5, characterized in that: The patient initial image storage unit (70) includes an initial dental image pre-storage module (710) for storing the dental images of the patient before orthodontics. The patient initial image storage unit (70) further includes an expected dental image pre-storage module (720) for storing the images of the desired effect after the patient's orthodontics. The output end of the expected dental image pre-storage module (720) is connected to a dental orthodontic direction simulation module (730), and the input end of the dental orthodontic direction simulation module (730) is connected to the output end of the initial dental image pre-storage module (710).

7. The remote monitoring system for dental orthodontics according to claim 5, wherein: The output end of the monitoring image comparison unit (60) is connected to an orthodontic situation self-analysis unit (80), and the orthodontic situation self-analysis unit (80) analyzes whether the dental orthodontic direction of the patient is normal according to the difference information.

8. The remote monitoring system for orthodontic use according to claim 7, characterized in that: The orthodontic situation self-analysis unit (80) includes a deviation degree calculation module (810) for calculating the deviation degree between the dental images at two adjacent time points. The output end of the deviation degree calculation module (810) is connected to a deviation threshold setting module (820) for setting a deviation threshold, and the output end of the deviation threshold setting module (820) is connected to a comparison result output module (830).

Images