Monitoring system and method for occlusal reconstruction and recovery of dentition-deficient patient

Abstract

The invention discloses a jaw biting reconstruction and recovery monitoring system and method for a dentition deficiency patient, and relates to the technical field of oral medical treatment, and the system comprises a nerve monitoring module which comprises an electromyogram electrode, a nerve signal processing unit and a nerve feedback unit; the biomechanical monitoring module comprises an intraoral jaw biting sensor, a head motion sensor and a biomechanical modeling unit, and the head motion sensor comprises an optical sensor or an inertial measurement unit; the biomechanical modeling unit is used for establishing a biomechanical model according to data of the intra-oral jaw biting sensor and the head motion sensor; a false tooth adjusting and locking module; a data storage module and a display module; by integrating multiple monitoring modules and innovative technical means, personalized occlusal reconstruction is provided for a patient with dentition deficiency, and comprehensive monitoring, adjustment and denture safety improvement are realized.

Description

Technical Field

[0001] The present invention relates to the field of oral medical technology, and in particular to a jaw reconstruction and restoration monitoring system and method for edentulous patients. Background Art

[0002] Edentulous teeth are a common oral disease that seriously affects the chewing, swallowing, speech function and facial beauty of patients, and also has a negative impact on the mental health of patients. Traditional treatment methods for edentulous teeth mainly focus on jaw reconstruction, and restore the chewing function of patients by installing dentures. However, these traditional methods lack effective monitoring methods to track the patient's recovery process after jaw reconstruction. It is difficult for doctors to grasp the patient's jaw occlusion in real time after jaw reconstruction, including the size of the bite force, the accuracy of the jaw position, and the coordination with the nerves and muscles. In addition, there is a lack of systematic monitoring and adjustment mechanisms for the use and safety of dentures in daily activities or under different physiological conditions, which may lead to various problems after jaw reconstruction, such as loose dentures, uncomfortable bite, accelerated alveolar bone absorption, etc. These problems not only affect the treatment effect, but also bring continuous distress and pain to patients. In addition, traditional treatment methods do not fully take into account the differences between individuals. For different oral structures, muscle strength, and nerve control ability of different patients, it is impossible to provide personalized treatment and recovery plans, and it is difficult to meet patients' higher requirements for treatment effect and comfort.

[0003] In view of this, this application is hereby filed. Summary of the invention

[0004] The object of the present invention is to provide a jaw reconstruction and restoration monitoring system and method for edentulous patients to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides a jaw reconstruction and restoration monitoring system and method for edentulous patients, comprising:

[0006] Nerve monitoring module: The nerve monitoring module includes an electromyogram (EMG) electrode, a nerve signal processing unit and a nerve feedback unit. The electromyogram (EMG) electrode is arranged on the surface of the chewing-related muscles to collect nerve electrical activity signals. The nerve signal processing unit processes the collected nerve electrical activity signals to extract frequency, amplitude and timing characteristics. The nerve feedback unit provides feedback to the patient based on the processed nerve signals.

[0007] Biomechanical monitoring module: The biomechanical monitoring module includes an intraoral bite sensor, a head movement sensor and a biomechanical modeling unit. The intraoral bite sensor is installed on the denture or a relevant position in the oral cavity to monitor the bite force and bite position. The head movement sensor includes an optical sensor or an inertial measurement unit (IMU), which is set in the head or neck area to monitor the movement and force of the head and neck. The biomechanical modeling unit establishes a biomechanical model based on the data of the intraoral bite sensor and the head movement sensor.

[0008] Denture adjustment and locking module: the denture adjustment and locking module automatically adjusts the position and jaw-bite relationship of the denture according to the biomechanical model, and locks or unlocks the denture according to the biomechanical information;

[0009] Data storage module and display module: the data storage module stores the data collected from the nerve monitoring module and the biomechanical monitoring module; the display module displays the stored data and relevant information of the system, and realizes the user interaction function;

[0010] Furthermore, the neural signal processing unit in the neural monitoring module adopts an artificial intelligence-based signal processing algorithm, which, by learning from a large number of clinical samples, can accurately analyze the neural electrical activity signals of different individuals to evaluate muscle nerve control.

[0011] Furthermore, the neural feedback unit includes a vibrator and a speaker. When the neural signal exceeds a preset range, the vibration frequency of the vibrator and the sound frequency of the speaker are automatically adjusted according to the degree of abnormality, and feedback information of different intensities is sent to the patient to guide the patient to adjust the jaw biting action.

[0012] Furthermore, the nerve monitoring module also includes a transcranial magnetic stimulation (TMS) device or a transcutaneous electrical nerve stimulation (TENS) device, which automatically adjusts stimulation parameters, including stimulation intensity, stimulation frequency and stimulation duration, according to the analysis results of the nerve signal processing unit to promote the regulation and rehabilitation of chewing-related nerve functions.

[0013] Furthermore, the intra-oral bite sensor has an adaptive range adjustment function, which can automatically adjust the measurement range according to the bite force range of different patients, and adopts a special protective coating to ensure good stability and biocompatibility in the oral environment.

[0014] Furthermore, the optical sensor in the head motion sensor adopts high-resolution optical imaging technology, which can accurately measure tiny movements and force changes of the head and neck, and has anti-interference capabilities to ensure the accuracy of the data.

[0015] Furthermore, the biomechanical modeling unit uses a multimodal data fusion algorithm to fuse the data of the intraoral bite sensor and the head movement sensor and the patient's individual characteristic information to establish a more accurate personalized biomechanical model.

[0016] Furthermore, the denture adjustment and locking module uses a micro-drive device to adjust the position and occlusal relationship of the denture. The micro-drive device has high-precision positioning and fine-tuning functions, its adjustment accuracy reaches the micron level, and the adjustment process is smooth, avoiding discomfort to the patient.

[0017] Furthermore, the denture locking module adopts an electromagnetic locking device to achieve rapid locking and unlocking of the denture according to different biomechanical signal strengths, and can automatically adjust the locking force according to real-time force conditions to ensure the safety and stability of the denture in various activities.

[0018] A method for monitoring jaw reconstruction and restoration of edentulous patients comprises the following steps: S1: a nerve monitoring module collects and processes nerve electrical activity signals; S2: a biomechanical monitoring module collects bite force, jaw position, head and neck movement and force data, and establishes a biomechanical model; when the nerve monitoring module detects abnormal nerve signals, a nerve feedback unit is used to provide feedback to the patient, and a transcranial magnetic stimulation (TMS) device or a transcutaneous electrical nerve stimulation (TENS) device is used to adjust nerve function according to the situation; S3: a denture adjustment and locking module adjusts the denture position and jaw relationship according to the biomechanical model, and performs denture locking or unlocking operations; S4: a display module performs display and interactive operations.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. Realize personalized jaw reconstruction and recovery monitoring: Provide personalized jaw reconstruction plan based on comprehensive information and individual patient characteristics; adjust dentures based on muscle strength and nerve control to improve adaptability and comfort; dynamically adjust plans based on recovery conditions to improve treatment experience and satisfaction; predict recovery problems and take preventive measures in advance;

[0021] 2. Improve the comprehensiveness and real-time nature of monitoring: Multi-module integration, comprehensive monitoring of jaw reconstruction and restoration indicators; real-time data collection and analysis to promptly identify potential problems; use advanced technology to ensure high frequency and high precision of data, support early intervention; visual interface facilitates doctors to remotely view and manage, improving efficiency;

[0022] 3. Improve the safety and stability of denture use: adjust dentures based on biomechanical signals to ensure stability under different conditions; adaptive locking mechanism ensures the safety of dentures and prevents loosening and displacement; monitoring avoids damage to dentures and tissues to extend service life; assists in regulating nerve function and enhances the safety of denture use. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a principle block diagram of a bite reconstruction and restoration monitoring system for edentulous patients;

[0024] Figure 2 Flow chart of a method for monitoring bite reconstruction and restoration in edentulous patients. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1-2 The present invention provides a technical solution: a jaw reconstruction and restoration monitoring system and method for edentulous patients, comprising:

[0027] 1. System preparation and patient information collection:

[0028] 1 System hardware preparation:

[0029] Check and ensure that all hardware components of the edentulous patient bite reconstruction and restoration monitoring system are intact and functioning properly, including the nerve monitoring module, biomechanical monitoring module, denture adjustment and locking module, data storage module and display module.

[0030] For the nerve monitoring module, confirm that the electromyography (EMG) electrodes are not damaged and connected properly, and the vibrator, speaker, and transcranial magnetic stimulation (TMS) device or transcutaneous electrical nerve stimulation (TENS) device in the nerve signal processing unit and the nerve feedback unit are in a usable state. Calibrate the electromyography (EMG) electrodes to their initial zero potential state, and place the electrodes on the surface of chewing-related muscles, such as the masseter and temporalis muscles, based on the patient's muscle anatomy and previous clinical experience.

[0031] For the biomechanical monitoring module, ensure that the intraoral bite sensor and head motion sensor (including optical sensor or inertial measurement unit IMU) are properly installed. The intraoral bite sensor is installed in the appropriate position of the denture or the oral cavity, such as the alveolar bone, adjacent teeth or specific parts of the denture, to ensure that it can accurately sense the bite force and bite position; the head motion sensor is accurately installed on the forehead, behind the ear or in the neck area according to the physiological structure of the human head and neck, and a suitable fixing device is used to ensure that it is stable and does not affect the patient's normal activities.

[0032] Check the micro-drive device and electromagnetic lock device in the denture adjustment and locking module to ensure that they can drive and lock the defined teeth normally, and confirm that their power supply is sufficient and the control circuit is normal.

[0033] Check the data storage module to ensure that the storage medium has enough space to store data, initialize the storage module, and establish the corresponding data storage structure, such as creating a data storage folder identified by patient identity information to store different types of data.

[0034] Turn on the display module, ensure that the display screen is clearly displayed, and that the communication with other modules is normal to realize the information interaction function.

[0035] 2. Patient information collection:

[0036] Collect the patient's basic information, including age, gender, height, weight, medical history (especially those related to the oral and nervous systems), living habits (such as eating habits, exercise habits), etc. This information will serve as an important basis for subsequent data analysis and personalized processing.

[0037] Perform an oral examination on the patient and record the specific conditions of edentulism, including the location of missing teeth, the condition of the alveolar bone, the health of the oral mucosa, etc. Use an intraoral scanner or other imaging techniques (such as CT scan) to obtain the three-dimensional structural information of the oral cavity to provide basic data for bite reconstruction.

[0038] 2. The process of jaw reconstruction:

[0039] 1. Formulation of jaw reconstruction plan:

[0040] Based on the collected patient information and oral examination data, computer-aided design (CAD) software and 3D modeling technology are used to develop a personalized jaw reconstruction plan for the patient. The initial design model of the denture is generated by considering the patient's oral anatomy, muscle strength, facial symmetry and other factors.

[0041] The generated denture design model is sent to the denture production center, and the denture is produced according to the design plan. The selection of denture materials can be based on the specific situation of the patient, taking into account factors such as strength, biocompatibility, and aesthetics. Metals, ceramics, or polymer composite materials can be used.

[0042] 2. Denture installation and initialization:

[0043] Install the denture into the patient's mouth to ensure that the position, angle and occlusion of the denture meet the design requirements. During the installation process, check the fit between the denture and the oral tissue to ensure that the patient is comfortable wearing it without obvious tenderness or discomfort.

[0044] Initialize the denture adjustment and locking module, and input the initial position and bite relationship parameters of the denture into the system as the reference value for subsequent adjustment and monitoring.

[0045] 3. Data collection stage:

[0046] 1. Neural electrical activity data collection:

[0047] The electromyography (EMG) electrodes in the nerve monitoring module are turned on to start collecting nerve electrical activity signals of chewing-related muscles. According to a preset sampling frequency (for example, it can be set to 500 Hz to 2000 Hz), the signals are continuously collected and transmitted to the nerve signal processing unit in real time.

[0048] During the acquisition process, the neural signal processing unit performs preliminary processing on the collected raw neural electrical activity signals, such as removing baseline drift and high-frequency noise in the signals to ensure signal quality.

[0049] 2. Biomechanical data collection:

[0050] At the same time, the bite sensor in the mouth starts working to monitor the bite force and bite position of the denture. The sensor sends the measured bite force and bite position data to the biomechanical modeling unit in real time. The sensor automatically adjusts the range according to the bite force to ensure accurate measurement under different bite force conditions. The measurement range can be from a few Newtons to hundreds of Newtons, depending on the patient's bite force assessment.

[0051] The optical sensor or inertial measurement unit (IMU) in the head motion sensor begins to monitor the movement and force of the head and neck. The optical sensor uses high-resolution optical imaging technology to accurately measure the tiny angle, displacement, velocity and acceleration changes of the head and neck, while the inertial measurement unit (IMU) obtains the movement information of the head and neck in real time by measuring acceleration and angular velocity. The collected data is transmitted to the biomechanical modeling unit.

[0052] 4. Data processing and analysis stage:

[0053] 1. Neural signal processing and analysis:

[0054] The neural signal processing unit uses an artificial intelligence-based signal processing algorithm to perform a detailed analysis of the collected neural electrical activity signals. The algorithm extracts features from neural electrical activity signals, including frequency, amplitude, and timing features. Specifically, the time domain signal is converted into a frequency domain signal through Fourier transform, and the power spectrum density is calculated to identify the energy distribution of different frequency components; the timing features of the neural signal, such as peaks, troughs, and pulse width, are obtained through time domain analysis.

[0055] The extracted features are compared with the normal range data in the clinical database. These normal range data are obtained by analyzing the neural electrical activity signals of a large number of healthy and diseased individuals. At the same time, a comprehensive evaluation is performed based on the patient's individual information (such as age, gender, and medical history) to determine whether the current neural signal is normal.

[0056] 2. Establishment and analysis of biomechanical model:

[0057] After receiving the data from the intraoral bite sensor and head motion sensor, the biomechanical modeling unit uses a multimodal data fusion algorithm to fuse the bite force, bite position, head and neck movement and force data, and the patient's individual characteristic information (such as muscle strength, bone density, etc.). For example, through finite element analysis, these data are input into the pre-established oral biomechanical model to calculate the stress distribution and deformation of the denture, alveolar bone and surrounding tissues under different motion and occlusal states.

[0058] Based on the multimodal data fusion algorithm, a personalized biomechanical model is established. This model not only considers the mechanical conditions during static jaw clenching, but also the biomechanical changes in dynamic conditions (such as chewing, swallowing, head movement, etc.), providing a basis for subsequent adjustments and evaluations.

[0059] 5. Feedback and Adjustment Phase:

[0060] 1. Neurofeedback:

[0061] When the neural signal processing unit detects that the neural signal exceeds the preset range, the neural feedback unit automatically adjusts the vibration frequency of the vibrator and the sound frequency of the speaker according to the degree of abnormality. For example, for minor abnormalities, low-frequency vibration and soft sound reminders can be used; for more serious abnormalities, high-frequency vibration and sharp sound reminders are used. At the same time, specific neural signal abnormality information is displayed on the display module, such as "The neural signal frequency is too high, please reduce the jaw bite strength."

[0062] According to the analysis results of abnormal nerve signals, the transcranial magnetic stimulation (TMS) device or transcutaneous electrical nerve stimulation (TENS) device in the nerve monitoring module automatically adjusts the stimulation parameters. In the case of weak nerve electrical activity, the stimulation intensity can be appropriately increased, the stimulation duration can be extended, and the stimulation frequency can be adjusted to promote the regulation and recovery of chewing-related nerve functions; in the case of strong nerve electrical activity, the stimulation intensity can be reduced to avoid excessive stimulation of the nerves.

[0063] 2. Denture adjustment and locking operation:

[0064] The denture adjustment and locking module uses a micro-drive device to adjust the position and bite relationship of the denture according to the information of the biomechanical model. The micro-drive device is driven by electromagnetic or electric drive, and adjusts the position and bite relationship of the denture with high precision (micrometer level precision) according to the calculated adjustment amount (such as the displacement and angle adjustment of the denture). During the adjustment process, a closed-loop control algorithm is used to monitor the adjustment effect in real time to ensure that the adjustment process is smooth and continuous, and to avoid discomfort to the patient caused by sudden position changes.

[0065] The denture locking module uses an electromagnetic lock device to lock or unlock the denture according to the different biomechanical signal strengths. When the patient is resting or slightly active, the denture can be locked based on the biomechanical signal to determine that the denture does not need to be moved; when the patient starts chewing, swallowing or moving the head, the denture is unlocked according to the changes in the biomechanical signal to ensure the safety and stability of the denture in various activities. At the same time, the electromagnetic lock device automatically adjusts the locking force according to the real-time force conditions to prevent the denture from shifting or loosening when subjected to unexpected external forces.

[0066] 6. Data storage and display stage:

[0067] 1. Data storage:

[0068] The data storage module stores all collected data, including neural electrical activity signals and their analysis results, bite force, jaw position, head and neck movement and force information, denture adjustment records, denture locking status, etc. The data is timestamped to form time series data, which is convenient for subsequent data tracing and trend analysis.

[0069] The stored data are stored in categories, for example, the neural electrical activity data are stored in the "neural monitoring" subfolder, and the biomechanical data are stored in the "biomechanical monitoring" subfolder, which facilitates data management and retrieval.

[0070] 2. Information display and interaction:

[0071] The display module presents the stored data to doctors and patients in a visual way. For doctors, detailed data charts can be displayed, such as power spectrum of neural electrical activity signals, curve of bite force change over time, head and neck movement trajectory, etc., as well as system adjustment records and evaluation information. For patients, concise information can be displayed, such as "current jaw bite status normal / abnormal" and "number of jaw bite adjustments today", etc., while providing patients with a simple operation interface so that they can view their recovery progress and receive system adjustment suggestions.

[0072] Doctors can remotely access and modify some parameters of the system through the display module, such as adjusting the threshold of neural feedback, the sensitivity of denture adjustment, etc., to achieve personalized treatment and monitoring.

[0073] 7. System maintenance and optimization stage: regular inspection and maintenance:

[0074] 1. Check the system hardware regularly (such as weekly or monthly), including checking the adhesion of electromyography (EMG) electrodes to ensure good contact between the electrodes and the muscle surface; check the position and performance of the intraoral bite sensor and head movement sensor to prevent sensor displacement or damage caused by the oral environment or daily use; check the operating status of the micro-drive device and electromagnetic lock device in the denture adjustment and locking module to ensure the normal operation of its mechanical parts.

[0075] Update and optimize the system software, update the artificial intelligence algorithm in the neural signal processing unit based on new clinical data and user feedback, and optimize the multimodal data fusion algorithm of the biomechanical modeling unit to improve the performance and accuracy of the system.

[0076] 2. Long-term monitoring and adjustment:

[0077] The patient's long-term bite reconstruction and recovery monitoring is carried out, and data is continuously collected and analyzed. As the patient's recovery progresses, the system adjusts the treatment and monitoring strategies according to the changes in the data. For example, as the patient's bite function gradually recovers, the intensity and frequency of neural feedback are gradually reduced; according to the long-term trend of the biomechanical model, the denture adjustment strategy is adjusted, such as reducing the adjustment frequency or reducing the adjustment range.

[0078] In summary, by integrating neural monitoring devices (such as electromyography (EMG) electrodes) and biomechanical monitoring devices (such as intraoral bite sensors, optical sensors, and inertial measurement units (IMUs)) into the bite reconstruction system, and combining neural signal processing, biomechanical modeling, denture adjustment and locking, etc., comprehensive, real-time monitoring and personalized adjustment of the bite reconstruction of edentulous patients can be achieved. The data storage and display modules are used to facilitate doctors and patients to view data and system information at any time. By developing a neural feedback algorithm, real-time feedback is provided to patients, and transcranial magnetic stimulation (TMS) or transcutaneous electrical nerve stimulation (TENS) technology is used to assist in regulating neural function and promote patients' neurological rehabilitation and muscle coordination. In addition, the position and bite relationship of the denture are automatically adjusted according to the biomechanical signals, and an adaptive denture locking mechanism is developed to ensure the safety and stability of the denture in various situations, thereby achieving efficient monitoring and personalized treatment of bite reconstruction and restoration of edentulous patients, and improving the treatment effect and user experience of patients.

Claims

1. A jaw reconstruction and restoration monitoring system for edentulous patients, characterized by: include: Nerve monitoring module: The nerve monitoring module includes an electromyography (EMG) electrode, a nerve signal processing unit and a nerve feedback unit. The electromyography (EMG) electrode is used to collect nerve electrical activity signals. The nerve signal processing unit processes the collected nerve electrical activity signals to extract frequency, amplitude and timing characteristics. Biomechanical monitoring module: The biomechanical monitoring module includes an intraoral bite sensor, a head movement sensor and a biomechanical modeling unit. The intraoral bite sensor is used to monitor bite force and bite position; the head movement sensor is used to monitor the movement and force of the head and neck; the biomechanical modeling unit establishes a biomechanical model based on the data of the intraoral bite sensor and the head movement sensor; Denture adjustment and locking module: the denture adjustment and locking module automatically adjusts the position and jaw-bite relationship of the denture according to the biomechanical model; Data storage module and display module.

2. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The neural signal processing unit in the neural monitoring module adopts an artificial intelligence-based signal processing algorithm, which can accurately analyze the neural electrical activity signals of different individuals by learning from a large number of clinical samples to evaluate muscle nerve control.

3. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The neural feedback unit includes a vibrator and a speaker. When the neural signal exceeds a preset range, the vibration frequency of the vibrator and the sound frequency of the speaker are automatically adjusted according to the degree of abnormality, and feedback information of different intensities is sent to the patient to guide the patient to adjust the jaw biting action.

4. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The nerve monitoring module also includes a transcranial magnetic stimulation device or a transcutaneous electrical nerve stimulation device, which automatically adjusts stimulation parameters according to the analysis results of the nerve signal processing unit.

5. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The intra-oral bite and jaw sensor has an adaptive range adjustment function and can automatically adjust the measurement range according to the bite force range of different patients.

6. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The optical sensor in the head motion sensor can accurately measure the tiny movements and force changes of the head and neck, and has anti-interference ability.

7. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The biomechanical modeling unit uses a multimodal data fusion algorithm to fuse the data of the intraoral bite sensor and the head movement sensor and the patient's individual characteristic information to establish a more accurate personalized biomechanical model.

8. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The denture adjustment and locking module uses a micro-drive device to adjust the position and jaw-bite relationship of the denture.

9. The occlusal reconstruction and restoration monitoring system for edentulous patients according to claim 1, characterized in that: The denture locking module adopts an electromagnetic locking device to achieve rapid locking and unlocking of the denture according to different biomechanical signal strengths, and can automatically adjust the locking force according to real-time force conditions to ensure the safety and stability of the denture in various activities.

10. A method for monitoring the jaw reconstruction and restoration of edentulous patients according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: The neural monitoring module collects and processes neural electrical activity signals; S2: The biomechanical monitoring module collects bite force, jaw position, head and neck movement and force data, and establishes a biomechanical model; When the neuromonitoring module detects abnormal nerve signals, the neurofeedback unit is used to provide feedback to the patient, and the transcranial magnetic stimulation device or transcutaneous electrical nerve stimulation device is used to adjust the nerve function according to the situation; S3: The denture adjustment and locking module adjusts the denture position and jaw relationship according to the biomechanical model, and performs denture locking or unlocking operations; S4: The display module performs display and interactive operations.

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