Intelligent spine orthopedic system based on visual force feedback

Abstract

The invention provides an intelligent spine orthopedic system based on visual force feedback, and relates to the field of medical instruments, the system comprises a reduction forceps main body, the reduction forceps main body is provided with a force sensing module, a printed circuit board and a display, and the force sensing module is used for detecting a force signal applied during orthopedic operation; a signal conditioning circuit and a microprocessor are arranged on the printed circuit board, the signal conditioning circuit is used for conditioning the force signal, and the microprocessor is used for converting the conditioned signal into force value data; and the display is used for displaying the force value data in real time. The force sensing module, the signal conditioning circuit, the display and the wireless communication module are highly integrated in the reduction forceps main body, so that the intelligent functions of local real-time detection, quantitative display and orthopedic force transmission of the reduction forceps main body are realized.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to an intelligent spinal correction system based on visual force feedback. Background Technology

[0002] Scoliosis, kyphosis, traumatic fractures and dislocations, and degenerative spondylolisthesis are challenging problems in spinal surgery. The core technique of posterior corrective surgery is the pedicle screw fixation system. One of the key steps in this surgery is applying precise mechanical intervention to the fixed spinal segments using techniques such as distraction, compression, and rotation. This is crucial for restoring the normal physiological curvature and alignment of the spine and achieving nerve decompression. However, this critical step still relies heavily on the surgeon's experience.

[0003] Existing technologies have the following drawbacks: Currently widely used orthopedic tools in clinical practice, such as spreaders and compression forceps, are all purely passive mechanical structures. Their working principle can only provide force transmission and amplification, but cannot quantify, monitor, or provide feedback on the magnitude of the applied force in any way.

[0004] The procedure is conducted in a "black box," inherently posing risks to surgical safety: the corrective force applied by the surgeon is entirely based on subjective estimation using their feel and clinical experience, making the magnitude of the force an unknown quantity. Numerous biomechanical studies have shown that there exists a relatively safe "mechanical window" for corrective force at different spinal segments and under varying bone density conditions. Insufficient force leads to inadequate correction, affecting surgical outcomes; excessive force is a direct cause of serious complications such as screw pull-out, vertebral fracture, pedicle fracture, and even nerve traction injury. This unquantifiable nature means that every corrective procedure carries potential risks, placing surgical safety in a state of uncertainty.

[0005] Although the industry has long recognized the importance of quantifying orthopedic force, there are currently no related inventions or designs in the field of spinal orthopedic devices. Therefore, developing an intelligent spinal orthopedic reduction clamp based on visualized force feedback that can overcome the aforementioned bottlenecks is not only an urgent need to address current clinical pain points, but also a key cornerstone for propelling spinal surgery into a new digital and intelligent stage. This invention is proposed precisely to fill this technological gap in a crucial area. Summary of the Invention

[0006] This application provides an intelligent spinal orthopedic system based on visualized force feedback to address the technical problem mentioned in the background: currently widely used orthopedic tools in clinical practice, such as spreaders and compression clamps, are all purely passive mechanical structures. Their working principle can only provide force transmission and amplification, but cannot quantify, monitor, or provide feedback on the magnitude of the applied force in any way.

[0007] To address the aforementioned technical problems, this invention discloses an intelligent spinal orthopedic system based on visual force feedback, comprising a reduction clamp body, wherein the reduction clamp body is provided with: Force sensing module: used to detect the force signal applied during orthopedic procedures; Printed circuit board: A signal conditioning circuit and a microprocessor are provided on the printed circuit board. The signal conditioning circuit is used to condition the force signal, and the microprocessor is used to convert the conditioned signal into force value data. Display: Used to display the force value data in real time.

[0008] Preferably, the reset clamp body includes: a first handle and a second handle rotatably connected by a connecting shaft, the first handle having a first arm extending from its front end, and the second handle having a second arm extending from its front end.

[0009] Preferably, the force sensing module includes four strain gauges, which are symmetrically attached in pairs to the force-bearing areas of the first arm and the second arm in the form of a Wheatstone full-bridge circuit.

[0010] Preferably, in the reset clamp body, the area where the strain gauge is attached and the lead wire are integrally potted and sealed using biocompatible medical-grade epoxy resin.

[0011] Preferably, the printed circuit board is mounted in the mounting cavity within the first or second handle.

[0012] Preferably, the signal conditioning circuit includes an amplification module and an active low-pass filter; the amplification module is used to amplify the differential signal output by the strain gauge, and the active low-pass filter is used to filter out high-frequency electrical noise in the operating room environment.

[0013] Preferably, the microprocessor is an ARM Cortex-M series MCU; the display is a digital OLED display.

[0014] Preferably, the reset clamp body is further provided with a power module, which supplies power to the force sensing module, the printed circuit board, and the display; The printed circuit board is also provided with a wireless communication module, which is communicatively connected to the management terminal. The microprocessor is electrically connected to the display, the wireless communication module, and the power module, respectively. The wireless communication module is a Bluetooth module.

[0015] Preferably, the microprocessor includes: Acquisition Unit: During the operation, the strain gauge signal intensity after conditioning under no-load conditions is periodically acquired and converted into no-load force value, while the current gain parameter of the amplification module is acquired simultaneously; The no-load signal strength analysis unit is used to determine the equivalent no-load strain gauge signal strength and the reference signal stability coefficient based on the latest M no-load conditioned strain gauge signal strengths acquired before the amplification module gain parameters are adjusted. Gain Analysis Unit: Used to determine the adjusted gain coefficient based on the equivalent unloaded strain gauge signal strength, the reference signal stability coefficient, and the current gain parameters; Deviation prediction unit: used to determine the force data deviation value based on the current gain parameter and the reference signal stability coefficient. The force data deviation value is displayed on the screen.

[0016] Preferably, the microprocessor also includes: Force drift analysis unit: used to determine the latest force drift based on the N latest no-load force values, and to construct a trend line of the latest force drift based on the multiple latest determined force drift values; Force trend analysis unit: used to analyze the slope of the latest force drift trend line; Construction Unit: Used to construct a detection time-force trend line when the force value data is greater than the preset force value; Equivalent force value analysis unit: used to determine the equivalent force value based on the detection time-force value trend line; Correction calculation unit: used to determine the corrected current force value based on the slope of the latest force value drift trend line, the latest force value drift, and the current force value after analog-to-digital conversion; The corrected equivalent force value is determined based on the slope of the latest force drift trend line, the latest force drift, and the equivalent force value.

[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. It achieves precise quantification and visualization of orthopedic force. Real-time, in-situ, digital measurement and display of orthopedic force are realized on the spinal orthopedic reduction clamp.

[0019] By integrating high-precision strain gauges into key force-bearing areas of the arm and employing a Wheatstone full-bridge circuit design, the micro-strain of the instrument can be captured with high fidelity and converted into an electrical signal proportional to the orthopedic force, ensuring high sensitivity and accuracy of force sensing. Amplification modules and filters effectively eliminate electromagnetic interference in the surgical environment, ensuring signal purity. The microprocessor performs real-time calculations based on precisely calibrated parameters, resulting in highly reliable and repeatable force values. Most importantly, a miniature digital display is integrated into the handle, directly and continuously displaying the calculated force value in Newtons (N) to the surgeon. This design transforms the previously entirely subjective experience-based feel into objective and readable data.

[0020] This directly solves the problem of unquantifiable force application in previous techniques. The surgeon can precisely know the magnitude of the applied corrective force, much like reading blood pressure or heart rate. Based on the values ​​displayed on the screen, the surgeon can actively control the corrective force within a safe range set based on parameters such as the patient's bone density, effectively avoiding serious complications such as screw pullout and vertebral fractures caused by excessive force, and also preventing insufficient correction due to insufficient force. This improves surgical precision and makes surgical outcomes more controllable.

[0021] 2. It has promoted the standardization and transferability of surgical techniques, laying the foundation for digital surgery.

[0022] This system establishes measurable, recordable, and analyzable data standards for spinal correction procedures. The quantification of corrective force values ​​in spinal deformity correction surgery makes procedures comparable and evaluable across different doctors and hospitals. The data recording function of the terminal system ensures that the biomechanical data of each correction procedure is completely preserved, forming a valuable "surgical biomechanics database." This contributes to the development of standardized operating procedures based on evidence-based medicine. The accumulated correctional data can be used to study the optimal biomechanical parameters for different surgical techniques and patient groups, feeding back into clinical practice and promoting scientific research.

[0023] 3. While achieving intelligent functionality, the clinical usability and reliability of the instrument are ensured. The integration of intelligent modules does not sacrifice the core attributes of the instrument as a surgical tool; on the contrary, its environmental adaptability is enhanced through ingenious design.

[0024] The complete encapsulation with medical-grade epoxy resin ensures that the entire sensing and electronic system can withstand rigorous high-temperature and high-pressure steam sterilization, meeting the core requirements of hospital infection control. This is a crucial prerequisite for the clinical use of intelligent surgical instruments. The wireless charging design completely eliminates intraoperative wiring, ensuring a sterile surgical field while simplifying preoperative preparation and postoperative maintenance procedures. It also solves the technical challenge of compatibility between sophisticated electronic systems and the harsh surgical environment. Attached Figure Description

[0025] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the overall composition of the present invention; Figure 2 This is a schematic diagram of the structure of the reset clamp body of the present invention.

[0026] In the diagram: 1. Connecting shaft; 2. First handle; 3. Second handle; 4. First arm; 5. Second arm; 6. Display. Detailed Implementation

[0027] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0028] Furthermore, in this invention, the use of terms such as "first" and "second" is for descriptive purposes only and does not specifically refer to any order or sequence, nor is it intended to limit the invention. They are merely used to distinguish components or operations described using the same technical terms and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions and features of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If a combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0029] The present invention provides the following embodiments: Example 1: This embodiment of the invention provides an intelligent spinal correction system based on visual force feedback, such as... Figures 1-2 As shown, it includes: Includes a reset clamp body, wherein the reset clamp body is provided with: Force sensing module: used to detect the force signal applied during orthopedic procedures; Printed circuit board: A signal conditioning circuit and a microprocessor are provided on the printed circuit board. The signal conditioning circuit is used to condition the force signal, and the microprocessor is used to convert the conditioned signal into force value data. Display: Used to display the force value data in real time.

[0030] The reset clamp body includes a first handle and a second handle that are rotatably connected by a connecting shaft. The first handle has a first arm extending from its front end, and the second handle has a second arm extending from its front end.

[0031] Four strain gauges are symmetrically attached in pairs to the stress-bearing areas of the first and second arms in the form of a Wheatstone bridge circuit. The bending strain generated in these stress-bearing areas during the straightening operation (expansion or compression) has a definite and sensitive correspondence with the applied straightening force. When the arm is subjected to force and deformation, the resistance value of the strain gauges changes accordingly, causing the Wheatstone bridge to lose balance and output a millivolt-level differential voltage signal proportional to the straightening force.

[0032] In the reset clamp body, the area where the strain gauge is attached and the leads are integrally potted and sealed with biocompatible medical-grade epoxy resin. This design ensures the sensor module's insulation, moisture resistance, corrosion resistance, and ability to withstand repeated high-temperature and high-pressure steam sterilization.

[0033] The printed circuit board is installed in the mounting cavity within the first or second handle.

[0034] The signal conditioning circuit includes an amplification module with high input impedance and high common-mode rejection ratio, and an active low-pass filter. The amplification module is used to amplify the differential signal output by the strain gauge, and the active low-pass filter is used to filter out high-frequency electrical noise (such as electrosurgical interference) in the operating room environment.

[0035] The microprocessor is a low-power ARM Cortex-M series MCU. Its core tasks are: 1. Analog-to-digital conversion: converting the conditioned analog voltage signal into a high-resolution digital quantity. 2. Force calculation: based on the calibration coefficient matrix pre-stored in flash memory, executing an algorithm to convert the digital voltage quantity into a precise force value in Newtons (N) in real time.

[0036] The repositioning forceps body of the present invention can be made using existing spinal orthopedic repositioning forceps.

[0037] The reset clamp body is also equipped with a power module, which supplies power to the force sensing module, the printed circuit board, and the display. The printed circuit board is also provided with a wireless communication module, which is communicatively connected to the management terminal. The microprocessor is electrically connected to the display, the wireless communication module, and the power supply module, respectively.

[0038] The display is a miniature, low-power digital OLED screen. This screen directly, continuously, and clearly displays the real-time orthopedic force values ​​(e.g., compressive force: 185 N) calculated by the microprocessor. It transforms the invisible "feel" into objective, quantifiable visual information, allowing the surgeon to obtain the most critical operational parameters without taking their eyes off the instruments and surgical field during the procedure.

[0039] The power module uses a rechargeable micro lithium polymer battery to power all electronic modules.

[0040] The wireless communication module is a Bluetooth module. Its function is to wirelessly transmit information such as real-time force value, device ID, and battery status to the terminal display and management system.

[0041] To completely resolve the fundamental contradiction between "wired charging" and "aseptic operation" for precision surgical instruments, a completely sealed wireless charging chamber with a built-in receiving coil was creatively designed at the end of the handle. The entire instrument can be wirelessly charged after surgery by placing it in a dedicated sterile charging base, achieving the goal of completely wireless operation and meeting the highest level of aseptic requirements.

[0042] Display and Management System: Receives Bluetooth data and displays it on the screen as a dynamic force-time curve, with a clear overlay of the pre-operative planned safety force window. Data Management Module: Records orthopedic biomechanical data throughout the surgery, generating a traceable digital surgical report. It also allows users to preset safety force thresholds, issuing an alarm when the real-time force value exceeds the threshold.

[0043] Inside the mechanical structure of the reset clamp, through careful spatial layout and sealing technology, an intelligent system integrating force sensing (strain gauges), signal processing, and information output (display screen, wireless module) has been fully integrated for the first time, realizing the "mechatronics" of the instrument.

[0044] Integrating a real-time digital display on the orthopedic forceps handle provides the most direct and essential quantitative feedback, completely changing the operation mode that relies on touch and greatly improving the accuracy and safety of the surgery.

[0045] By using medical potting compound for sealing and wireless charging design, this invention solves two core problems in the clinical application of intelligent surgical instruments: sterilization tolerance and energy supply. This makes the intelligent solution of this invention highly clinically feasible and worthy of promotion.

[0046] The beneficial effects of the above technical solution are as follows: 1. It achieves precise quantification and visualization of orthopedic force. Real-time, in-situ, digital measurement and display of orthopedic force are realized on the spinal orthopedic reduction clamp.

[0047] By integrating high-precision strain gauges into key force-bearing areas of the arm and employing a Wheatstone full-bridge circuit design, the micro-strain of the instrument can be captured with high fidelity and converted into an electrical signal proportional to the orthopedic force, ensuring high sensitivity and accuracy of force sensing. Amplification modules and filters effectively eliminate electromagnetic interference in the surgical environment, ensuring signal purity. The microprocessor performs real-time calculations based on precisely calibrated parameters, resulting in highly reliable and repeatable force values. Most importantly, a miniature digital display is integrated into the handle, directly and continuously displaying the calculated force value in Newtons (N) to the surgeon. This design transforms the previously entirely subjective experience-based feel into objective and readable data.

[0048] This directly solves the problem of unquantifiable force application in previous techniques. The surgeon can precisely know the magnitude of the applied corrective force, much like reading blood pressure or heart rate. Based on the values ​​displayed on the screen, the surgeon can actively control the corrective force within a safe range set based on parameters such as the patient's bone density, effectively avoiding serious complications such as screw pullout and vertebral fractures caused by excessive force, and also preventing insufficient correction due to insufficient force. This improves surgical precision and makes surgical outcomes more controllable.

[0049] 2. It has promoted the standardization and transferability of surgical techniques, laying the foundation for digital surgery.

[0050] This system establishes measurable, recordable, and analyzable data standards for spinal correction procedures. The quantification of corrective force values ​​in spinal deformity correction surgery makes procedures comparable and evaluable across different doctors and hospitals. The data recording function of the terminal system ensures that the biomechanical data of each correction procedure is completely preserved, forming a valuable "surgical biomechanics database." This contributes to the development of standardized operating procedures based on evidence-based medicine. The accumulated correctional data can be used to study the optimal biomechanical parameters for different surgical techniques and patient groups, feeding back into clinical practice and promoting scientific research.

[0051] 3. While achieving intelligent functionality, the clinical usability and reliability of the instrument are ensured. The integration of intelligent modules does not sacrifice the core attributes of the instrument as a surgical tool; on the contrary, its environmental adaptability is enhanced through ingenious design.

[0052] The complete encapsulation with medical-grade epoxy resin ensures that the entire sensing and electronic system can withstand rigorous high-temperature and high-pressure steam sterilization, meeting the core requirements of hospital infection control. This is a crucial prerequisite for the clinical use of intelligent surgical instruments. The wireless charging design completely eliminates intraoperative wiring, ensuring a sterile surgical field while simplifying preoperative preparation and postoperative maintenance procedures. It also solves the technical challenge of compatibility between sophisticated electronic systems and the harsh surgical environment.

[0053] Example 2, based on Example 1, the microprocessor includes: Acquisition Unit: During the operation, the strain gauge signal intensity after conditioning under no-load conditions is periodically acquired and converted into no-load force value, while the current gain parameter of the amplification module is acquired simultaneously; In this embodiment, the cycle is set according to the surgical needs, mainly in the preoperative instrument debugging and interoperative operation testing. The gain parameter of an amplifier module is a core indicator for measuring the ratio of its output signal to its input signal, and is usually expressed as voltage gain, current gain, or power gain; here it refers to voltage gain. The no-load signal strength analysis unit is used to determine the equivalent no-load strain gauge signal strength and the reference signal stability coefficient based on the latest M no-load conditioned strain gauge signal strengths acquired before the amplification module gain parameters are adjusted. The equivalent unloaded strain gauge signal intensity is taken as the average value of the latest M unloaded conditioned strain gauge signal intensities before the gain parameters of the amplification module are adjusted. M is 3 to 5; Reference signal stability coefficient = (maximum value of the latest M no-load conditioned strain gauge signal strengths before the amplifier module gain parameter is adjusted - minimum value of the latest M no-load conditioned strain gauge signal strengths before the amplifier module gain parameter is adjusted) ÷ equivalent no-load strain gauge signal strength; Gain Analysis Unit: Used to determine the adjusted gain coefficient based on the equivalent unloaded strain gauge signal strength, the reference signal stability coefficient, and the current gain parameters; Deviation prediction unit: used to determine the force data deviation value based on the current gain parameter and the reference signal stability coefficient (finally displaying the deviation between the force value and the actual applied force); A pre-defined table corresponds to the gain coefficient range, the reference signal stability coefficient range, and the force data deviation range. The determination is based on this table.

[0054] The corresponding table is obtained by testing strain gauges and amplification modules of the same model before the equipment leaves the factory, and then correcting it in conjunction with hospital surgical data.

[0055] The beneficial effects of the above technical solution are as follows: By analyzing the equivalent no-load signal strength and the stability coefficient of the reference signal, accidental interference with signal values ​​is avoided, making the judgment of the deviation between no-load signal and force data more accurate. The gain analysis unit combines signal strength matching and stability correction to ensure that the signal is within the optimal range of the subsequent modules while avoiding amplification of fluctuating signals.

[0056] The final display of force deviation indicates that doctors can adjust the applied force based on the deviation, reducing the risk of tissue damage caused by force value errors.

[0057] Example 3, based on Example 2, further includes the following microprocessor: Force drift analysis unit: used to determine the latest force drift based on the N latest no-load force values, and to construct a trend line of the latest force drift based on the multiple latest determined force drift values; In this embodiment, N can be 3 to 5; Calculate the difference (and force drift) between each of the N most recently collected no-load force values ​​and the foundation no-load force value. Construct a trend line for the latest force drift by plotting the detection time on the x-axis and the force drift on the y-axis for multiple latest force drift values. The basic no-load force value is the benchmark no-load force value determined by the standard calibration process under the "original qualified state" of the reset clamp of the present invention after leaving the factory / repair; Force trend analysis unit: used to analyze the slope of the latest force drift trend line; A positive slope indicates that the drift is continuously increasing, while a slope close to 0 indicates that the drift is stable. Construction Unit: Used to construct a detection time-force trend line when the force value data is greater than the preset force value; For example, a preset force value of 120N indicates that an effective orthopedic procedure has begun; the detection time-force trend line is used to reflect the force during the effective orthopedic process. Equivalent force value analysis unit: used to determine the equivalent force value based on the detection time-force value trend line; Identify the stable segment where "force fluctuation is ≤5%". In this segment, the applied force has reached the target strength and the force is stable. Calculate the arithmetic mean of all force values ​​in this stable segment, which is the equivalent force value.

[0058] Force fluctuation is: (maximum force value in the stable segment - minimum force value in the stable segment) ÷ average force value in the stable segment; Correction calculation unit: used to determine the corrected current force value based on the slope of the latest force value drift trend line, the latest force value drift, and the current force value after analog-to-digital conversion; Corrected current force value = Current force value after analog-to-digital conversion - Latest force value drift - Slope of the trend line of the latest force value drift × Time interval from the acquisition time of the latest force value drift to the acquisition time of the current force value; The corrected equivalent force value is determined based on the slope of the latest force drift trend line, the latest force drift, and the equivalent force value.

[0059] Corrected equivalent force value = Equivalent force value - Latest force value drift - Slope of the latest force value drift trend line × Time interval from the latest force value drift acquisition time to the end of the stable segment acquisition time.

[0060] The current force value and the corrected equivalent force value displayed on the screen; The beneficial effects of the above technical solution are as follows: By pre-setting force values ​​for screening, the core force value for orthopedic application is determined, focusing on the orthopedic process and achieving precise force value extraction. The force value of the stable segment is simplified into an equivalent force value, which can quickly determine whether the applied force has reached the required strength for orthopedic treatment and ensure the quality of the surgery.

[0061] It also covers the latest force drift amount and the slope of the latest force drift trend line, as well as the corresponding time interval, so that the displayed corrected current force value / equivalent force value is closer to the actual applied force, making the force value display more accurate.

[0062] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A smart spinal orthopedic system based on visual force feedback, comprising a reduction forceps body, characterized in that: The reset forceps body is provided with: Force sensing module: for detecting the force signal applied during orthopedic operation; Printed circuit board: the printed circuit board is provided with a signal conditioning circuit and a microprocessor, the signal conditioning circuit is used for conditioning the force signal, and the microprocessor is used for converting the conditioned signal into force value data; Display: for real-time display of the force value data.

2. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein, The reset forceps body includes: a first handle and a second handle connected by a connecting shaft, a first arm extended from the front end of the first handle, and a second arm extended from the front end of the second handle.

3. The intelligent spinal orthotic system based on visual force feedback according to claim 2, wherein, The force sensing module includes four strain gauges, which are symmetrically attached to the stress areas of the first arm and the second arm in the form of a Wheatstone full-bridge circuit.

4. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein, The reset forceps body is provided with:

5. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein, The printed circuit board is installed in the mounting cavity in the first handle or the second handle.

6. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein: The signal conditioning circuit includes: an amplification module and an active low-pass filter; the amplification module is used for amplifying the differential signal output by the strain gauge, and the active low-pass filter is used for filtering high-frequency electrical noise in the operating room environment.

7. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein: The microprocessor is an ARM Cortex-M series MCU, and the display is a digital OLED display screen.

8. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein, The reset forceps body is also provided with a power module, which supplies power to the force sensing module, the printed circuit board, and the display; The printed circuit board is also provided with a wireless communication module, which is in communication connection with a management terminal; The microprocessor is in electrical connection with the display, the wireless communication module, and the power module; The wireless communication module is a Bluetooth module.

9. The intelligent spinal orthotic system based on visual force feedback according to claim 1, wherein, The microprocessor includes: The acquisition unit periodically acquires the strain gauge signal intensity conditioned during idle state during the operation process, and converts it into idle force value, and synchronously acquires the current gain parameter of the amplification module; The idle signal intensity analysis unit is used for determining the equivalent idle strain gauge signal intensity and the reference signal stability coefficient based on the latest M idle conditioned strain gauge signal intensities acquired before the gain parameter of the amplification module is adjusted; The gain analysis unit is used for determining the adjusted gain coefficient based on the equivalent idle strain gauge signal intensity, the reference signal stability coefficient, and the current gain parameter; The bias prediction unit is used for determining the force data bias value based on the current gain parameter and the reference signal stability coefficient, and the force data bias value is displayed through the display.

10. The intelligent spinal orthotic system based on visual force feedback according to claim 9, wherein, The microprocessor further includes: The force value drift analysis unit is used for determining the latest force value drift amount based on the latest N idle force values, and constructing a latest force value drift amount trend line based on the latest determined multiple latest force value drift amounts; The force value trend analysis unit is used for analyzing the slope of the latest force value drift amount trend line; The construction unit is used for constructing a detection time-force value trend line during the process that the force value data is greater than a preset force value; The equivalent force value analysis unit is used for determining the equivalent force value based on the detection time-force value trend line; The correction calculation unit is used for determining the corrected current force value based on the slope of the latest force value drift amount trend line, the latest force value drift amount, and the current force value after analog-to-digital conversion; The corrected equivalent force value is determined based on the slope of the trend line of the latest force value drift amount, the latest force value drift amount, and the equivalent force value. The corrected equivalent force value is determined based on the slope of the trend line of the latest force value drift amount, the latest force value drift amount, and the equivalent force value.

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