Intelligent cervical vertebra medical device based on myoelectricity feedback device

Abstract

The invention relates to an intelligent cervical vertebra medical device based on a myoelectricity feedback device. The cervical vertebra supporting device comprises a supporting frame, a main shell, a distance adjusting device and a lower jaw supporting tray, the two ends of the lower jaw supporting tray are rotationally arranged on the supporting frame to support the lower jaw, and the main shell and the lower jaw supporting tray are connected through the distance adjusting device to form a space for containing the neck; the at least one electromyographic signal sensor is integrated on the main shell; the signal processing unit is installed on the main shell and electrically connected with the electromyographic signal sensor. The feedback system is arranged on the rear side of the main shell and is in signal connection with the signal processing unit. Through the electromyographic signal sensor, non-invasive monitoring of neck muscle activity of a patient is achieved, and discomfort and risks of the patient in the treatment process are reduced; the signal processing unit is used for processing the biological signals so as to analyze the muscle activity state to evaluate the health condition of the cervical vertebra, and the analysis result is visually transmitted to a patient through the feedback system.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to an intelligent cervical medical device based on an electromyographic feedback device. Background Art

[0002] Cervical spondylosis is one of the increasingly common chronic diseases in modern society. Its increasing incidence is closely related to the contemporary work and lifestyle. Maintaining a bad posture for a long time, performing repetitive neck movements, or suffering from accidental neck injuries may lead to degenerative changes in the cervical spine, causing a series of symptoms such as pain, stiffness, and even neurological dysfunction. Although there are various conventional treatments for cervical spondylosis, each has its limitations.

[0003] 1. Drug treatment: usually used to relieve pain and inflammation, but long-term use may lead to drug dependence and side effects, and cannot solve the structural problems of the cervical spine. (With the increasing pressure of life, the incidence of cervical radiculopathy is increasing, which has a serious impact on patients' daily life and work. Clinical treatment is mainly based on drugs that promote brain tissue metabolism and vasodilation, but the treatment effect cannot meet clinical expectations) 2. Physical therapy: including hot compress, cold compress, massage and traction, etc. Although it can temporarily relieve symptoms, the effect is limited and requires regular visits to the hospital for treatment. For patients with fixed movements, it is difficult to complete the treatment conveniently.

[0004] 3. Surgical treatment: It may be necessary for patients with severe cervical spondylosis, but the surgical risk is high, the recovery period is long, and not all patients are suitable for surgical treatment. (Anterior cervical decompression and bone grafting with or without internal fixation are classic surgeries for the treatment of cervical diseases, but the surgery is difficult because the anatomy is relatively complex, the surgical field is small, and there are important blood vessels and nerves adjacent to the surgery. The incidence of early surgical complications in anterior cervical surgery is 13%~30%, and the incidence of aggravated spinal cord damage is 1.21%.) 4. Rehabilitation training: Strengthen muscle strength and improve cervical spine mobility through specific neck exercises and posture training, such as traction therapy combined with exercise therapy. However, rehabilitation training often lacks personalized guidance, and patients find it difficult to obtain real-time feedback, which limits compliance and effectiveness.

[0005] 5. Traditional medical equipment: Although traditional cervical rehabilitation equipment can play a certain role, most cervical treatment equipment has a single function and cannot provide customized treatment plans based on the patient's specific conditions. It also has a low level of intelligence and cannot achieve remote monitoring and real-time adjustment. Summary of the invention

[0006] To this end, the technical problem to be solved by the present invention is to overcome the deficiencies in the prior art and provide an intelligent cervical spine medical device based on an electromyographic feedback device, which realizes non-invasive monitoring of the patient's neck muscle activity through a high-precision electromyographic signal sensor, thereby reducing the discomfort and risks of the patient during treatment; uses a signal processing unit to process biological signals to analyze the muscle activity state, thereby evaluating the health status of the cervical spine, and intuitively conveys the analysis results to the patient through a feedback system, helping them to adjust their neck posture and exercise habits in a timely manner.

[0007] In order to solve the above technical problems, the present invention provides an intelligent cervical medical device based on an electromyographic feedback device, comprising: A cervical vertebra support device is used to wear on the patient's neck to provide stable support; the cervical vertebra support device includes a support frame, a main shell, a spacing adjustment device, and a mandibular support tray, both ends of the mandibular support tray are rotatably arranged on the support frame to support the mandibular, and the main shell and the mandibular support tray are connected by the spacing adjustment device to form a space for accommodating the neck; At least one electromyographic signal sensor, integrated on the main housing; the electromyographic signal sensor has multiple channels for receiving and transmitting electromyographic signals from the patient's neck; A signal processing unit, mounted on the main housing and electrically connected to the electromyographic signal sensor, for receiving the neck electromyographic signal collected by the electromyographic signal sensor, and performing real-time calculation and analysis of the electromyographic signal to enhance the accuracy of the analysis result of data processing; A feedback system is arranged on the rear side of the main shell and establishes a signal connection with the signal processing unit. The analysis results of the signal processing unit are fed back to the patient and medical personnel in real time and communicate with medical professionals and conduct remote data exchange and communication with medical personnel.

[0008] In one embodiment of the present invention, the feedback system includes a high-resolution display and an intelligent alarm system. The high-resolution display is used to display electromyographic signal data and treatment progress to the patient to enhance the user experience; the intelligent alarm system is used to promptly remind the patient when abnormal muscle activity is detected or when the device fails to ensure the safety of treatment.

[0009] In one embodiment of the present invention, the spacing adjustment device includes a buckle, a left distance mounting plate, and a right distance mounting plate. The buckle is provided with an inner groove. One end of the left distance mounting plate and the right distance mounting plate are provided with a rack segment. The rack segment is inserted into the inner groove and can move in the inner groove to achieve position adjustment.

[0010] In one embodiment of the present invention, a neck support tray is provided on the main shell for supporting the patient's neck; the neck support tray includes a plurality of tray metal pads arranged side by side, wherein a tray coccyx is provided on the tray metal pad at the lowest end.

[0011] In one embodiment of the present invention, a carrying tray for carrying the electromyographic signal sensor is provided between the main shell and the neck support tray.

[0012] In one embodiment of the present invention, the mandibular support tray comprises an arc-shaped support plate, both ends of the arc-shaped support plate are provided with connection holes, the inner wall of the arc-shaped support plate is provided with an inner pad, and the middle position of the arc-shaped support plate is provided with an outer pad.

[0013] In one embodiment of the present invention, the support frame is provided with an angle adjustment device for adjusting the mandibular support tray, and the angle adjustment device includes a first transmission rod, a second transmission rod, a first gear, a second gear, a rocker and a knob; the first transmission rod is connected to the mandibular support tray, the first gear is arranged on the first transmission rod, the second gear is arranged on the support frame through the second transmission rod, and is located on one side of the first gear, the first gear and the second gear are meshed, and the rocker is arranged on the other side of the first gear; the knob is fixedly connected to the second transmission rod, when the knob is manually turned counterclockwise, the second transmission rod is driven to rotate, and the second transmission rod drives the second gear to rotate clockwise; when the knob is manually turned clockwise, the second transmission rod is driven to rotate, and the rocker is meshed with the second gear to prevent the second gear from reversing and forming a self-locking. , used to receive the neck electromyographic signal collected by the electromyographic signal sensor, and perform real-time calculation and analysis of the electromyographic signal, and enhance the accuracy of the data processing analysis results; A data storage module, used to record the patient's neck electromyographic signal and the analysis results of the signal processing module; A wireless connection module, used to realize signal connection with the feedback system; The data transmission module is used to transmit the analysis results processed by the signal processing module to the feedback system.

[0014] In one embodiment of the present invention, the signal processing module includes: The signal preprocessing module is used for filtering, amplifying and AD converting the neck electromyographic signal collected by the electromyographic signal sensor; A feature extraction module is used to extract key information that can represent muscle activity from the neck electromyographic signal, including but not limited to the amplitude, frequency, time domain and frequency domain of the signal; A pattern recognition module that analyzes the extracted feature data through a machine learning model to identify muscle fatigue, tension, or abnormal activity patterns.

[0015] In the second aspect, in order to solve the above technical problems, the present invention provides a working method of an intelligent cervical medical device based on an electromyographic feedback device, which is as follows: Step 1: Activate and calibrate the electromyographic signal sensor; Step 2: The electromyographic signal sensor collects bioelectric signals of the neck muscles in real time; Step 3: The signal processing unit receives the electromyographic signal collected by the electromyographic signal sensor, and performs data analysis and processing to obtain analysis results; Step 4: The feedback system provides personalized rehabilitation guidance to patients based on the analysis results to enhance the personalization of treatment.

[0016] Step 5: Record and store treatment data for long-term tracking and effect evaluation to ensure the traceability of treatment effects.

[0017] The above technical solution of the present invention has the following beneficial effects compared with the prior art: The intelligent cervical medical device and method based on the electromyographic feedback device described in the present invention realizes non-invasive monitoring of the patient's neck muscle activity through a high-precision electromyographic signal sensor, reduces the patient's discomfort and risk during treatment, and uses a signal processing unit to perform real-time analysis on the collected electromyographic signals. The analysis results are conveyed to the patient through an intuitive feedback system, thereby realizing real-time and accurate monitoring of the neck muscle status, and providing personalized medical intervention accordingly, helping the wearer to adjust the neck posture and exercise habits in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to make the contents of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments of the present invention in conjunction with the accompanying drawings.

[0019] Figure 1 This is a schematic diagram of the structure of an intelligent cervical medical device based on an electromyographic feedback device in Embodiment 1 of the present invention; Figure 2 yes Figure 1 An exploded diagram of an intelligent cervical spine medical device based on an electromyographic feedback device is shown; Figure 3 It is a schematic diagram of the structure of the center distance adjustment device and the lower jaw support tray of the present invention; Figure 4 It is a schematic diagram of the structure of the neck support tray and the load-bearing tray in the present invention; Figure 5 It is a schematic diagram of the structure of the carrying tray and the electromyographic signal sensor in the present invention; Figure 6 This is a structural schematic diagram of the left distance mounting plate of the present invention; Figure 7 It is a structural schematic diagram of the support frame and the first transmission rod in the present invention; Figure 8 It is a structural schematic diagram of the angle adjustment device in the present invention.

[0020] Fig. 9 It is a structural schematic diagram of the signal processing unit in the present invention.

[0021] Explanation of the reference numerals in the specification: 1. main shell; 11. front opening of the main shell; 12. tail shell of the main shell; 2. buckle; 21. inner groove; 3. left distance mounting plate; 31. first through hole; 32. inner pad of the left plate; 33. mounting groove of the left plate; right distance mounting plate; 5. neck support tray; 51. load-bearing tray; 52. tray metal pad; 53. tray connecting knob; 54. tray coccyx; 6. support frame; 61. second through hole; 62. first transmission rod; 63. second transmission rod; 64. first gear; 65. second gear; 66. rocker; 7. jaw support tray; 70. arc support plate; 71. inner pad; 72. outer pad; 73. connecting hole; 8. electromyographic signal sensor; 122. signal processing unit; 1221. data storage module; 1222. wireless connection module; 1223. signal processing module; 1224. data transmission module. DETAILED DESCRIPTION

[0022] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0023] Embodiment 1 Reference Figure 1-9 As shown, an intelligent cervical medical device based on an electromyographic feedback device of the present invention comprises: A cervical vertebra support device is used to wear on the patient's neck to provide stable support; the cervical vertebra support device includes a support frame 6, a main shell 1, a spacing adjustment device, and a lower jaw support tray 7. Both ends of the lower jaw support tray 7 are rotatably arranged on the support frame 6 to support the lower jaw. The main shell 1 and the lower jaw support tray 7 are connected by the spacing adjustment device to form a space for accommodating the neck; At least one electromyographic signal sensor 8 is integrated on the main housing 1; the electromyographic signal sensor 8 has multiple channels for receiving and transmitting electromyographic signals from the patient's neck; The signal processing unit 122 is installed on the main housing 1 and is electrically connected to the electromyographic signal sensor 8, and is used to receive the neck electromyographic signal collected by the electromyographic signal sensor, and perform real-time calculation and analysis of the electromyographic signal to enhance the accuracy of the data processing analysis results; The feedback system is arranged on the rear side of the main shell 1 and establishes a signal connection with the signal processing unit 122. The analysis results of the signal processing unit 122 are fed back to the patient and medical personnel in real time and communicate with medical professionals and conduct remote data exchange and communication with medical personnel.

[0024] Furthermore, the feedback system includes a high-resolution display and an intelligent alarm system. The high-resolution display is used to display electromyographic signal data and treatment progress to the patient to enhance the user experience; the intelligent alarm system is used to promptly remind the patient when abnormal muscle activity is detected or when the device fails to ensure the safety of treatment.

[0025] During the entire treatment process of the intelligent cervical medical device, the feedback system plays a vital role. One of the core functions of the feedback system is to automatically generate real-time feedback based on the analysis results of the signal processing unit 122. These feedbacks are designed to help patients understand their current muscle activity status and guide them to make appropriate adjustments to optimize the treatment effect. It not only provides patients with real-time treatment feedback, but also enhances the user experience and interactivity of the treatment.

[0026] The high-resolution display is the main interface for patients to interact with the device. It not only displays EMG data and treatment progress, but also provides treatment advice and guidance. The user interface is intuitive and can clearly display the patient's treatment data, progress charts and feedback information. Through the device's user interface, professionals can monitor the patient's training progress and changes in EMG signals in real time. This information can be used to evaluate the patient's response to the rehabilitation plan and adjust the treatment plan in a timely manner.

[0027] For example, if a patient responds well to certain exercises, a professional may increase the frequency or intensity of those exercises; conversely, if discomfort or ineffectiveness occurs, they may reduce the intensity or substitute other exercises.

[0028] During the configuration process, medical professionals will set display parameters based on the patient's specific needs and preferences, including font size, color contrast, and information display format. In addition, the brightness and contrast of the display will be adjusted to be suitable for reading under various ambient light conditions, ensuring that patients can clearly see feedback information at all times. Feedback information may include suggestions for adjusting neck posture, guidance on relaxation exercises, or specific neck exercise recommendations. These suggestions are designed to help patients improve their neck muscle usage habits, reduce discomfort and pain, and promote the rehabilitation of the cervical spine. The feedback system is also able to adjust the feedback content based on the patient's treatment progress and response to ensure personalized and effective treatment.

[0029] The smart alarm system is a key component of the device, which ensures the safety of treatment by monitoring the patient's muscle activity and device status in real time. When configuring the smart alarm system, professionals will set alarm thresholds to determine when the alarm is triggered. These thresholds are based on the patient's health status and treatment goals. The alarm system needs to be closely integrated with the signal processing unit 122 so that it can respond immediately when abnormal muscle activity or device failure is detected.

[0030] The configuration of the intelligent alarm system includes setting alarm parameters, selecting alarm modes, and defining alarm response processes. Alarm parameters are based on the patient's health status and treatment goals, and may include abnormal thresholds for muscle activity, abnormal indicators of device performance, etc. The alarm mode can be sound, light, or vibration, and can even send alarm information to the patient's smartphone or other mobile device through the wireless connection module 1222.

[0031] When the intelligent alarm system detects an abnormal situation, it will immediately trigger a preset alarm mode to ensure that the patient can immediately notice and take appropriate actions. At the same time, the alarm information will also be sent to medical professionals through the wireless connection module 1222, so that they can understand the patient's condition in time and provide necessary help.

[0032] In addition, the intelligent alarm system can also record and store alarm events, including the time, type and duration of the alarm. These records are of great value to medical professionals in evaluating the patient's treatment progress, adjusting treatment plans and improving equipment performance. The intelligent alarm system consists of a monitoring system and a transmission system, which is used to promptly remind patients when muscle activity is detected. When the patient's muscles may be at risk of injury or the device is damaged, the intelligent alarm system will execute the alarm procedure. The installation of this system can greatly reduce the risk of the device, thereby ensuring the safety of treatment.

[0033] This embodiment also includes a control system, which constructs a force controller based on angular displacement and current feedback, and its outer loop input is angular displacement, and outputs the ideal motor torque through PID feedback control. The inner loop is a PID current loop, and the output current controls the movement of the neck support tray included in the myoelectric device. It achieves the purpose of cervical rehabilitation by adjusting the force applied to the neck.

[0034] In this embodiment, the distance adjustment device includes a buckle 2, a left distance mounting plate 3, and a right distance mounting plate 4. The buckle 2 is provided with an inner groove 21. One end of the left distance mounting plate 3 and the right distance mounting plate 4 are provided with a rack segment 33. The rack segment 33 is inserted into the inner groove 21 and can be moved in the inner groove 21 to achieve position adjustment. The end of the left distance mounting plate 3 is provided with a first mounting hole 31, and the inner concave surface of the left distance mounting plate 3 is provided with an inner pad 32. The structure of the right distance mounting plate 4 is the same as that of the left distance mounting plate. When in use, the position of the left distance mounting plate 3 and the right distance mounting plate 4 in the buckle 2 can be adjusted according to the size and shape of the neck, so that the user can easily find the wearing method that best suits him or her.

[0035] In this embodiment, the main shell 1 and the left distance mounting plate 3 and the right distance mounting plate 4 are all made of breathable materials to ensure that the skin on the patient's neck can remain ventilated and dry during long-term wearing, reducing skin irritation and discomfort.

[0036] Furthermore, a neck support tray 5 is provided on the main shell 1 for supporting the patient's neck; the neck support tray 5 includes a plurality of tray metal pads 52 arranged side by side, wherein a tray coccyx 54 is provided on the tray metal pad at the lower end.

[0037] Furthermore, a carrying tray 51 for carrying the electromyographic signal sensor 8 is provided between the main housing 1 and the neck support tray 5. The tray metal pad 52 is fixedly connected to the carrying tray 51 via a tray connection knob 53.

[0038] When the electromyographic signal sensor 8 is installed in the main housing 1, the sensor and the neck contact area must first be cleaned to ensure accurate signal reading. Subsequently, the electromyographic signal sensor 8 is installed in a predetermined position by a precise fixing device to ensure good contact with the skin while avoiding discomfort to the patient due to friction or excessive pressure. The cable of the electromyographic signal sensor 8 needs to be routed through a dedicated channel inside the main housing 1 to protect the cable from being pulled or damaged.

[0039] In this embodiment, the main housing 1 is provided with a main housing front opening 11 and a main housing tail shell 12; the main housing front opening 11 is connected to the carrying tray 51 via a connecting block, and the main housing tail shell 12 is connected to the buckle 2 of the spacing adjustment device. The main housing 1 adopts a high-performance composite body and an internal lattice structure, integrating buffering and shock absorption functions, while reducing the weight and material waste of the device, reducing costs to a certain extent, thereby ensuring the biocompatibility and safety of the device, and the high-performance composite material can effectively improve comfort and reduce patient discomfort.

[0040] Preferably, the mandibular support tray 7 comprises an arc-shaped support plate 70 , two ends of the arc-shaped support plate 70 are provided with connecting holes 73 , the inner wall of the arc-shaped support plate 70 is provided with an inner pad 71 , and the middle position of the arc-shaped support plate 70 is provided with an outer pad 72 .

[0041] In addition, the support frame 6 is provided with an angle adjustment device 61 for adjusting the lower jaw support tray 7, and the angle adjustment device 61 includes a first transmission rod 62, a second transmission rod 63, a first gear 64, a second gear 65, a rocker 66 and a knob; the first transmission rod 62 is connected to the lower jaw support tray 7, the first gear 64 is arranged on the first transmission rod 62, the second gear 65 is arranged on the support frame 6 through the second transmission rod 63, and is located on one side of the first gear 64, the first gear 64 and the second gear 65 are meshed, and the rocker 66 is arranged on the other side of the first gear 64; the knob is fixedly connected to the second transmission rod 63, when the knob is manually rotated counterclockwise, the second transmission rod 63 is driven to rotate, and the second transmission rod 63 drives the second gear 65 to rotate clockwise; when the knob is manually rotated clockwise, the second transmission rod 631 is driven to rotate, and the rocker 66 is meshed with the second gear 65 to prevent the second gear 65 from reversing, forming a self-locking. The height and diameter of the mandibular support tray 7 can be adjusted to different positions through the above-mentioned angle adjustment device, thereby achieving a preliminary traction effect on the patient's neck and assisting the patient to complete the treatment.

[0042] In addition, under the action of the self-locking device, two gears and a rocker 66 together form a transmission device with a self-locking function and are fixed above the patient's neck muscles, which plays a role in fixing the patient's neck. When the patient wants to remove the fixing device, he turns the knob counterclockwise to drive the first gear 64 and the second gear 65 to mesh and drive, and the first gear 64 drives the lower jaw support tray 7 to be lowered through the first transmission rod 62, so that the patient can easily remove the device. The use of the self-locking device not only makes the wearing and removal of the device more convenient, but also greatly improves the comfort of the patient.

[0043] In this embodiment, the signal processing unit 122 includes: The signal processing module 1223 is used to receive the neck electromyographic signal collected by the electromyographic signal sensor, and to perform real-time calculation and analysis of the electromyographic signal to enhance the accuracy of the data processing analysis result; The data storage module 1221 is used to record the patient's neck electromyographic signals and the analysis results of the signal processing module 1223; the data storage module 1221 can efficiently record the analysis results of the signal processing unit 122, so that the signal processing module 122 can calculate and analyze the electromyographic signals in real time according to the neck muscle bioelectric signals collected by the electromyographic signal sensor 8, and enhance the accuracy of the data processing analysis results; the patient's neck electromyographic signals recorded by the data storage module 1221 and the real-time feedback of the treatment results can be set according to the patient's age, condition, and needs. The specific operation is that at regular intervals, the data storage unit will organize, summarize and analyze the data for this period of time, and feedback the analysis results to the patient and medical staff to achieve the optimization of treatment; The wireless connection module 1222 is used to realize the signal connection with the feedback system; the wireless connection module 1222 supports the connection of standard signals such as Bluetooth and Wi-Fi, so as to realize the remote communication between the patient and the medical staff, thereby improving the convenience of the patient in the correction treatment; the wireless connection function of the device further enhances its practicality, allowing the patient to carry out rehabilitation training in different environments, and enabling medical professionals to remotely monitor the patient's treatment progress and adjust the treatment plan in time; The data transmission module 1225 is used to transmit the analysis results processed by the signal processing module 1223 to the feedback system.

[0044] In one embodiment of the present invention, the signal processing module 1223 includes: The signal preprocessing module is used for filtering, amplifying and AD converting the neck electromyographic signal collected by the electromyographic signal sensor; A feature extraction module is used to extract key information that can represent muscle activity from the neck electromyographic signal, including but not limited to the amplitude, frequency, time domain and frequency domain of the signal; A pattern recognition module that analyzes the extracted feature data through a machine learning model to identify muscle fatigue, tension, or abnormal activity patterns.

[0045] Among them, the machine learning model is trained by analyzing a large amount of electromyographic signal data, which comes from the neck muscle activities of different patients, thus ensuring the generalization ability and accuracy of the model.

[0046] During training, the machine learning model learns to recognize characteristic patterns associated with specific muscle states. This includes a wide range of situations, from normal muscle activity to pathological conditions. In this way, the model is able to provide detailed classifications and explanations for different types of muscle activity. In addition, the machine learning model is able to adapt to new data and situations, thereby continuously improving its performance and accuracy over time.

[0047] After feature extraction and machine learning model training are completed, the machine learning model will be used to analyze the real-time collected electromyographic signals to identify muscle fatigue, tension or abnormal activity patterns. This step is the key to achieving personalized treatment and real-time feedback. The machine learning model analyzes the extracted feature data and identifies the specific state and activity pattern of the muscle through complex algorithms and calculation processes. The recognition results will be used to generate real-time feedback, which will guide the patient to make corresponding adjustments, such as changing posture, performing specific exercises, or taking other measures to reduce muscle tension or fatigue. This real-time feedback mechanism not only improves the treatment effect, but also enhances the patient's sense of participation and self-management ability.

[0048] In addition, the recognition results will also provide important information for medical professionals to help them evaluate the treatment effect, adjust the treatment plan and monitor the patient's recovery process. In this way, the intelligent cervical medical device of the present invention can provide a comprehensive, personalized and efficient treatment and management plan for patients with cervical spondylosis.

[0049] Based on the intelligent cervical medical device based on the electromyographic feedback device in the above embodiment, the high-precision electromyographic signal sensor 8 is used to realize non-invasive monitoring of the patient's neck muscle activity, reduce the patient's discomfort and risk during treatment, and use the signal processing unit 122 to analyze the collected electromyographic signals in real time, and convey the analysis results to the patient through an intuitive feedback system to help them adjust their neck posture and exercise habits in time. According to the electromyographic signal characteristics and treatment response of each patient, a personalized rehabilitation training plan can be generated to improve the pertinence and effectiveness of the treatment; the data storage function of the device can record and analyze a large amount of treatment data, provide valuable data support for the scientific research of cervical diseases and the improvement of treatment methods, and promote scientific research on the treatment of cervical diseases.

[0050] Embodiment 2 In order to solve the above technical problems, the present invention provides a working method of an intelligent cervical medical device based on an electromyographic feedback device, which is as follows: Step 1: Activate and calibrate the electromyographic signal sensor 5; Step 2: The electromyographic signal sensor 5 collects bioelectric signals of the neck muscles in real time; Step 3: The signal processing unit 122 receives the electromyographic signal collected by the electromyographic signal sensor 5, and performs data analysis and processing to obtain analysis results; Step 4: The feedback system provides personalized rehabilitation guidance to patients based on the analysis results to enhance the personalization of treatment.

[0051] After the patient is ready in step 1, the medical professional will activate the EMG sensor 8 and perform a series of calibration steps to ensure the accuracy of signal acquisition. The process begins by adjusting the gain of the sensor to match the electrical activity level of the patient's neck muscles. The gain adjustment will ensure that the signal can be fully amplified without overloading, so that all important details can be captured.

[0052] The filter settings will then be optimized to remove noise that may interfere with the signal. This may include filtering out power line frequency interference, as well as other noise that may be generated by the patient or the surrounding environment. The filter settings will be personalized based on the patient's specific situation and the acquisition environment.

[0053] During the calibration process, other signal processing parameters may also be adjusted, such as sampling rate and signal path selection. The adjustment of these parameters will ensure that the signal processing unit 122 can receive high-quality signals and provide a solid foundation for subsequent data analysis.

[0054] Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the protection scope of the invention.

Claims

1. An intelligent cervical medical device based on electromyographic feedback device, characterized in that: include: Cervical support device, used to wear on the patient's neck to provide stable support; The cervical vertebra support device comprises a support frame, a main shell, a spacing adjustment device, and a mandibular support tray. Both ends of the mandibular support tray are rotatably arranged on the support frame to support the mandibular, and the main shell and the mandibular support tray are connected by the spacing adjustment device to form a space for accommodating the neck. At least one electromyographic signal sensor, integrated on the main housing; the electromyographic signal sensor has multiple channels for receiving and transmitting electromyographic signals from the patient's neck; A signal processing unit, mounted on the main housing and electrically connected to the electromyographic signal sensor, for receiving the neck electromyographic signal collected by the electromyographic signal sensor, and performing real-time calculation and analysis of the electromyographic signal to enhance the accuracy of the analysis result of data processing; A feedback system is arranged on the rear side of the main shell and establishes a signal connection with the signal processing unit. The analysis results of the signal processing unit are fed back to the patient and medical personnel in real time and communicate with medical professionals and conduct remote data exchange and communication with medical personnel.

2. The intelligent cervical medical device based on myoelectric feedback device according to claim 1, characterized in that: The feedback system includes a high-resolution display and an intelligent alarm system. The high-resolution display is used to display electromyographic signal data and treatment progress to the patient to enhance the user experience; the intelligent alarm system is used to promptly remind the patient when abnormal muscle activity is detected or when the device fails to ensure the safety of treatment.

3. The intelligent cervical medical device based on myoelectric feedback device according to claim 1, characterized in that: The spacing adjustment device includes a buckle, a left distance mounting plate, and a right distance mounting plate. The buckle is provided with an inner groove. One end of the left distance mounting plate and the right distance mounting plate are provided with a rack segment. The rack segment is inserted in the inner groove and can move in the inner groove to achieve position adjustment.

4. The intelligent cervical medical device based on myoelectric feedback device according to claim 1, characterized in that: The main shell is provided with a neck support tray for supporting the patient's neck; the neck support tray includes a plurality of tray metal pads arranged side by side, wherein a tray coccyx is provided on the tray metal pad at the lowest end.

5. The intelligent cervical medical device based on myoelectric feedback device according to claim 4, characterized in that: A carrying tray for carrying the electromyographic signal sensor is provided between the main shell and the neck support tray.

6. The intelligent cervical medical device based on myoelectric feedback device according to claim 1, characterized in that: The mandibular support tray comprises an arc-shaped support plate, two ends of the arc-shaped support plate are provided with connection holes, the inner wall of the arc-shaped support plate is provided with an inner pad, and the middle position of the arc-shaped support plate is provided with an outer pad.

7. The intelligent cervical medical device based on myoelectric feedback device according to claim 6, characterized in that: The support frame is provided with an angle adjustment device for adjusting the lower jaw support tray, and the angle adjustment device includes a first transmission rod, a second transmission rod, a first gear, a second gear, a rocker and a knob; the first transmission rod is connected to the lower jaw support tray, the first gear is arranged on the first transmission rod, the second gear is arranged on the support frame through the second transmission rod, and is located on one side of the first gear, the first gear and the second gear are meshed, and the rocker is arranged on the other side of the first gear; the knob is fixedly connected to the second transmission rod, when the knob is manually turned counterclockwise, the second transmission rod is driven to rotate, and the second transmission rod drives the second gear to rotate clockwise; when the knob is manually turned clockwise, the second transmission rod is driven to rotate, and the rocker is meshed with the second gear to prevent the second gear from reversing, thereby forming a self-locking state.

8. The intelligent cervical medical device based on electromyographic feedback according to claim 2, characterized in that: The signal processing unit comprises: A signal processing module is used to receive the neck electromyographic signal collected by the electromyographic signal sensor, and to perform real-time calculation and analysis of the electromyographic signal to enhance the accuracy of the data processing analysis results; A data storage module, used to record the patient's neck electromyographic signal and the analysis results of the signal processing module; A wireless connection module, used to realize signal connection with the feedback system; The data transmission module is used to transmit the analysis results processed by the signal processing module to the feedback system.

9. The intelligent cervical medical device based on myoelectric feedback device according to claim 2, characterized in that: The signal processing module comprises: The signal preprocessing module is used for filtering, amplifying and AD converting the neck electromyographic signal collected by the electromyographic signal sensor; A feature extraction module is used to extract key information that can represent muscle activity from the neck electromyographic signal, including but not limited to the amplitude, frequency, time domain and frequency domain of the signal; A pattern recognition module that analyzes the extracted feature data through a machine learning model to identify muscle fatigue, tension, or abnormal activity patterns.

10. The intelligent cervical medical device based on myoelectric feedback device according to any one of claims 1 to 9, characterized in that: The working methods are as follows: Step 1: Activate and calibrate the electromyographic signal sensor; Step 2: The electromyographic signal sensor collects the bioelectric signals of the neck muscles in real time; Step 3: The signal processing unit receives the electromyographic signal collected by the electromyographic signal sensor, and performs data analysis and processing to obtain analysis results; Step 4: The feedback system provides personalized rehabilitation guidance to patients based on the analysis results to enhance the personalization of treatment.

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