Tactile perception information quantification method for ophthalmology department

Abstract

The invention discloses an ophthalmology tactile perception information quantification method, which relates to the technical field of medical treatment and comprises the following steps of early-stage preparation, sensor equipment installation, data conversion, data transmission, data analysis and calibration of force value data in tactile perception data by using a dynamic force calibration algorithm. The method comprises the following steps: calibrating a force value Fcal, obtaining a force value adjustment amount delta Fadj according to the calibrated force value Fcal by using a force value adjustment algorithm, finally obtaining a comprehensive quantitative index Qsur through a comprehensive quantitative algorithm in combination with the calibrated force value Fcal and the force value adjustment amount delta Fadj, setting a danger threshold value of the comprehensive quantitative index Qsur as Y1, and recording a result. The method has the advantages that the dynamic force control effect in the operation process can be quantified by comprehensively quantifying indexes, abnormal conditions can be prompted in time by setting threshold values, potential safety hazards are reduced, and the operation quality is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a method for quantifying ophthalmic tactile perception information. Background Art

[0002] The full name of ophthalmology is "eye disease specialist", which is a discipline that studies diseases that occur in the visual system, including the eyeball and its associated tissues. Ophthalmology generally studies vitreous and retinal diseases, optometry, glaucoma and optic neuropathy, cataracts and other eye diseases. Ophthalmic surgery is a highly sophisticated and complex operation that places extremely high demands on the doctor's skills and coordination. Ophthalmic surgery is extremely delicate and requires extremely high technical requirements. Surgical training requires the guidance of professional doctors, the configuration of expensive equipment, and the consumption of a large amount of materials. Touch is one of the important ways for people to interact with the external environment. With the help of touch, humans can feel information such as temperature, strength, and hardness. In the medical field, surgeons use touch to perceive tissue hardness, texture, and shape, so that they can perform precise operations.

[0003] Since ophthalmic surgery requires high skills and lacks auxiliary tools, it is currently difficult to avoid damage to tissues due to excessive gripping force during surgery. The surgical operation cannot be adjusted in time during the operation, and it is difficult to detect abnormal conditions during the operation, thereby reducing the surgical effect and increasing safety hazards. Summary of the invention

[0004] The purpose of the present invention is to provide a method for quantifying ophthalmic tactile perception information, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides a method for quantifying ophthalmic tactile perception information, comprising the following steps: Preliminary preparation: install sensor equipment, measure tactile perception data during ophthalmic surgery, and set the sampling frequency of the sensor equipment to ensure that dynamically changing tactile perception data is measured; Data conversion, pre-processing the tactile perception data, and then preparing an analog-to-digital converter to convert the analog signal output by the sensor device into a digital signal; Data transmission, using a wireless communication module to transmit the converted tactile perception data to a computer; Data analysis: Use the dynamic force calibration algorithm to calibrate the force value data in the tactile perception data to obtain the calibrated force value F cal , and then use the force adjustment algorithm according to the calibrated force value F cal Get the force adjustment ΔF adj Finally, through the comprehensive quantification algorithm and combined with the calibrated force value F cal And force adjustment ΔF adj Get the comprehensive quantitative index Qsur , set the comprehensive quantitative index Q sur The danger threshold is Y1, Q sur If it is greater than Y1, it means the force control effect is good and the operation can be continued; otherwise, the machine should be stopped for inspection; The results are recorded and a database is constructed to store the data during the ophthalmic surgery process in the database for subsequent use.

[0006] Optionally, the preprocessing includes filtering, smoothing and denoising.

[0007] Optionally, the dynamic force calibration algorithm process in the data analysis step is as follows: ; Where F is the force value, F cal is the force value after calibration; F maa is the initial force value; P act It is the pressure on the surface of the eyeball; P ref is the standard pressure value; α is the pressure influence coefficient, which ranges from 0 to 1 and is used to adjust the influence of pressure change on the force value. Optionally, the force value adjustment algorithm process in the data analysis step is as follows: ; Where ΔF adj is the force adjustment amount; F th is the force threshold; F cal is the force value after calibration; F max is the maximum force value; β is the force difference influence coefficient, with an initial value of 0.5, which is used to reflect the influence of the difference between the force value after calibration and the force value threshold on the force value adjustment amount.

[0008] Optionally, the comprehensive quantization algorithm process is as follows: ; Where Q sur It is a comprehensive quantitative indicator; F cal is the force value after calibration; RMS(F seq ) is the RMS value of the force value sequence during the operation, indicating the average fluctuation level of the force value; |ΔF adj | is the absolute value of the force adjustment; F max is the maximum force value; γ is the influence coefficient of force adjustment; Comprehensive quantitative index Q sur It can provide intuitive reference for medical staff, comprehensive quantitative index Q sur The higher the value, the better the force control effect during ophthalmic surgery, and the more accurate and safe the surgical operation; on the contrary, it means that the force control effect is poor. Specifically, set the comprehensive quantitative index Q sur The danger threshold is Y1, when Q sur When it is less than the dangerous threshold value Y1, stop the operation, check and adjust the surgical parameters; Specifically, RMS(F seq )The calculation process is as follows: ; Where RMS(F seq ) is the RMS value of the force sequence during the operation; F i is the i-th force value in the sequence; N is the total number of force values ​​in the sequence; The root mean square value (RMS) of the force sequence during surgery seq ) indicates the average level of force fluctuation during surgery. The larger the value, the more drastic the force fluctuation, and the smaller the value, the more stable the force fluctuation.

[0009] Optionally, the set root mean square value RMS (F seq ) is Y2, when the root mean square value RMS(F seq ) is greater than the fluctuation threshold Y2, indicating that the force fluctuation during the operation is large. At this time, the force difference influence coefficient β in the force adjustment algorithm should be increased, specifically: ; Where β is the influence coefficient of force difference; F cal is the force value after calibration; F max is the maximum force value; By increasing the force difference influence coefficient β in the force adjustment algorithm, the force adjustment amount ΔF can be increased. adj , thereby reducing the comprehensive quantitative index Q sur , so that it can be adjusted in real time according to force fluctuations.

[0010] Optionally, the database is constructed by combining cloud storage and local storage, and the local storage includes a mechanical hard disk.

[0011] Optionally, the wireless communication module is a Wi-Fi module, and the analog-to-digital converter is a pipeline analog-to-digital converter.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains the calibrated force value F by combining the changes in eyeball pressure during surgery cal , the force data is calibrated according to the actual situation of the surgery, which improves the data quality obtained by the sensor equipment, and then the force adjustment algorithm is used according to the calibrated force value F cal Get the force adjustment ΔF adj , can remind doctors to adjust the force in real time, reduce the influence of subjective factors, avoid damage to tissues caused by excessive surgical force, and achieve the effect of auxiliary adjustment. Finally, through the comprehensive quantitative algorithm and combined with the calibrated force value F cal And force adjustment ΔF adj Get the comprehensive quantitative index Q sur , can quantify the control effect of force value, provide intuitive reference for doctors, so that they can make timely adjustments, and set comprehensive quantitative index Q sur The danger threshold Y1 can provide timely warnings when abnormal situations occur, avoiding the expansion of damage, reducing safety hazards and ensuring the quality of surgery.

[0013] 2. The present invention adjusts the force difference influence coefficient β according to the root mean square value, so that the method can be automatically optimized according to the actual data in ophthalmic surgery, and the reaction to the force difference is more sensitive, so as to reduce the safety hazards caused by the large fluctuation of force. Therefore, by setting the force difference influence coefficient β that can be adjusted according to the actual situation, the response speed and sensitivity can be improved, the influence of force fluctuation on the surgery can be reduced, and the stability of ophthalmic surgery can be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0015] 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.

[0016] For examples, see Figure 1 This embodiment provides a method for quantifying ophthalmic tactile perception information, comprising the following steps: Preliminary preparation: install sensor equipment, measure tactile perception data during ophthalmic surgery, and set the sampling frequency of the sensor equipment to ensure that dynamically changing tactile perception data is measured; Data conversion, pre-processing the tactile perception data, and then preparing an analog-to-digital converter to convert the analog signal output by the sensor device into a digital signal; Preprocessing includes filtering, smoothing, and denoising; Specifically, filtering methods including limiting filtering, median filtering, mean filtering and recursive averaging filtering can smooth the analog signal output by the sensor device, suppress noise, reduce random fluctuations and outliers in the data, and improve the quality of data acquired by the sensor device; Data transmission, using a wireless communication module to transmit the converted tactile perception data to a computer; Specifically, the wireless communication module is a Wi-Fi module, and the analog-to-digital converter is a pipeline analog-to-digital converter. During ophthalmic surgery, a large amount of medical data needs to be transmitted in real time, and the Wi-Fi module can provide a good data transmission rate, and has good compatibility and interoperability, can be easily connected with various medical devices, and supports a variety of security encryption algorithms, such as WPA and WPA2, to effectively protect the security of user data; The pipeline analog-to-digital converter divides the conversion process into multiple stages so that each stage can work in parallel, thereby significantly improving the efficiency of data conversion, and has high precision, which can ensure the real-time and accuracy of data collected by the sensor device. The pipeline analog-to-digital converter can handle different types of input signals, making it suitable for sensor devices used in various medical devices, thereby improving the versatility and adaptability of the method; Data analysis: Use the dynamic force calibration algorithm to calibrate the force value data in the tactile perception data to obtain the calibrated force value F cal , and then use the force adjustment algorithm according to the calibrated force value F cal Get the force adjustment ΔF adj Finally, through the comprehensive quantification algorithm and combined with the calibrated force value F cal And force adjustment ΔF adj Get the comprehensive quantitative index Q sur , set the comprehensive quantitative index Q sur The danger threshold is Y1, Q sur If it is greater than Y1, it means the force control effect is good and the operation can be continued. Otherwise, the machine should be stopped for inspection. After the inspection, the operation should be repeated from step 1. The results are recorded and a database is constructed to store the data during the ophthalmic surgery process in the database for subsequent use.

[0017] In this embodiment: By installing the sensor device and setting a suitable sampling frequency, the sensor device can obtain the tactile perception data in ophthalmic surgery in real time, ensuring the real-time nature of subsequent data processing. The analog signal output by the sensor device is then converted into a digital signal through an analog-to-digital converter to facilitate subsequent computer processing of the data. The dynamic force calibration algorithm can calibrate the data obtained by the sensor device and obtain the calibrated force value F by combining the changes in eyeball pressure during surgery. cal , so that the force data can be calibrated according to the actual situation of the surgery, improving the data quality obtained by the sensor equipment, and then using the force adjustment algorithm according to the calibrated force value F cal Get the force adjustment ΔF adj , can remind doctors to adjust the force in real time, reduce the influence of subjective factors, avoid damage to tissues caused by excessive surgical force, and achieve the effect of auxiliary adjustment. Finally, through the comprehensive quantitative algorithm and combined with the calibrated force value F cal And force adjustment ΔF adj Get the comprehensive quantitative index Q sur It can quantify the control effect of dynamic force during surgery, provide intuitive reference for doctors, and enable them to quickly understand the current dynamic force control status of the surgery so as to make timely adjustments. By setting thresholds, it can provide timely reminders when abnormal situations occur, avoid the expansion of damage, reduce safety hazards, and ensure the effectiveness of the surgery.

[0018] Furthermore, the dynamic force calibration algorithm process in the data analysis step is as follows: ; Where F is the force value, F cal is the force value after calibration; F maa is the initial force value; P act It is the pressure on the surface of the eyeball; P ref is the standard pressure value; α is the pressure influence coefficient, ranging from 0 to 1, which is used to adjust the effect of pressure changes on the force value; The force value F indicates the size of the mechanical action generated when objects interact with each other. In ophthalmic surgery, the force value F indicates the force applied by the surgical instrument to the eyeball. The tonometer measures the slight pressure on the eyeball, or the operating force of surgical forceps, probes and other tools on the eyeball tissue. The measurement of the pressure on the surface of the eyeball depends on pressure-sensitive sensors, such as the pressure measuring head in the tonometer. When the pressure measuring head contacts the surface of the eyeball, the pressure inside the eyeball will cause the pressure measuring head to deform. This deformation is also converted into an electrical signal and output as the value of the intraocular pressure through electronic mechanical components and readout display components.

[0019] Specifically, the force data measured by the sensor device is adjusted in real time based on the deviation between the current eye surface pressure and the standard pressure value to reduce errors and ensure data accuracy, so as to facilitate further analysis of the force data.

[0020] Furthermore, the force value adjustment algorithm process in the data analysis step is as follows: ; Where ΔF adj is the force adjustment amount; F th is the force threshold; F cal is the force value after calibration; F max is the maximum force value; β is the force difference influence coefficient, with an initial value of 0.5, which is used to reflect the influence of the difference between the force value after calibration and the force value threshold on the force value adjustment amount.

[0021] Specifically, by calculating the force adjustment ΔF adj , and it makes dynamic adjustments based on real-time measurement data to reduce delays and errors, making force control during surgery more precise. It is suitable for ophthalmic surgery environments that require real-time feedback and adjustment, achieving the effect of auxiliary adjustment, reducing the burden on surgeons in force control, making medical operations easier, reducing human errors, avoiding damage to tissues due to excessive gripping force, and improving stability during surgery.

[0022] Furthermore, the comprehensive quantization algorithm process is as follows: ; Where Q sur It is a comprehensive quantitative indicator; F cal is the force value after calibration; RMS(F seq ) is the RMS value of the force value sequence during the operation, indicating the average fluctuation level of the force value; |ΔF adj | is the absolute value of the force adjustment; F max is the maximum force value; γ is the influence coefficient of force adjustment; Specifically, the comprehensive quantitative index Q sur It can provide intuitive reference for medical staff, comprehensive quantitative index Q sur The higher the value, the better the force control effect during ophthalmic surgery, and the more accurate and safe the surgical operation; on the contrary, it means that the force control effect is poor. Specifically, set the comprehensive quantitative index Q sur The danger threshold is Y1, when Qsur When it is less than the dangerous threshold value Y1, stop the operation, check and adjust the surgical parameters. A good force control effect indicates that the pressure applied during the ophthalmic surgery is relatively stable as a whole, with a small fluctuation, thus ensuring the quality of the surgery. A poor force control effect indicates that the pressure fluctuates greatly during the ophthalmic surgery, which causes greater damage to the patient. Comprehensive quantitative index Q sur Taking into account the calibrated force value F cal And force adjustment ΔF adj The impact can more comprehensively reflect the effect of force control during surgery, and quantify the effect of force control, which can provide doctors with an intuitive reference and enable them to quickly understand the current dynamic force control status so that they can make timely adjustments during ophthalmic surgery. Doctors can receive real-time feedback during ophthalmic surgery, and it is easier to understand after quantification, thereby improving the safety and effectiveness of surgical operations.

[0023] And by providing a comprehensive quantitative indicator Q sur Set the danger threshold Y1, when the comprehensive quantitative index Q sur When it is less than Y1, it indicates that the current force control effect is poor, which will seriously affect the quality of the operation. At this time, an alarm will be issued to remind the doctor of the abnormal situation. The doctor will stop the operation and check and adjust the operation parameters to avoid the expansion of damage, reduce safety hazards and ensure the quality of the operation.

[0024] Specifically, RMS(F seq )The calculation process is as follows: ; Where RMS(F seq ) is the RMS value of the force sequence during the operation; F i is the i-th force value in the sequence; N is the total number of force values ​​in the sequence; The root mean square value (RMS) of the force sequence during surgery seq ) indicates the average level of force fluctuation during surgery. The larger the value, the more drastic the force fluctuation, and the smaller the value, the more stable the force fluctuation.

[0025] Further, the root mean square value RMS (F seq ) is Y2, when the root mean square value RMS(F seq ) is greater than the fluctuation threshold Y2, indicating that the force fluctuation during the operation is large. At this time, the force difference influence coefficient β in the force adjustment algorithm should be increased, specifically: ; Among them, β force value difference influence coefficient; Fcal is the force value after calibration; F max is the maximum force value; By increasing the force difference influence coefficient β in the force adjustment algorithm, the force adjustment amount ΔF can be increased. adj , thereby reducing the comprehensive quantitative index Q sur , so that it can be adjusted in real time according to force fluctuations.

[0026] Specifically, by calculating the root mean square value RMS (F seq ) is used to adjust the force difference influence coefficient β, so that the method can be automatically optimized according to the actual data in ophthalmic surgery, making the algorithm more sensitive to the force difference and able to be adjusted more effectively according to the actual situation to reduce the safety hazards caused by large fluctuations in force. By setting the force difference influence coefficient β that can be adjusted according to the actual situation, the response speed and sensitivity can be improved, the impact of force fluctuations on the surgery can be reduced, and the stability of ophthalmic surgery can be ensured.

[0027] Furthermore, the database is constructed by combining cloud storage with local storage, and the local storage includes a mechanical hard disk.

[0028] Specifically, during ophthalmic surgery, a large amount of medical data needs to be transmitted in real time. Mechanical hard drives can usually provide a large storage capacity, which is suitable for storing large amounts of medical data. In addition, as a local storage device, mechanical hard drives can access data without a network connection, reducing the risk of data unavailability due to network failures, and effectively protecting data during ophthalmic surgery. Cloud storage provides data backup and recovery functions, effectively preventing local data loss or damage. The combination of mechanical hard drives and cloud storage can make full use of the advantages of both, achieve complementarity in capacity and cost, data security, flexibility and scalability, collaborative work and data sharing, and meet the needs of hospitals.

[0029] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for quantifying ophthalmic tactile perception information, characterized in that: The following steps are involved: Step S1: Preliminary preparation, installing sensor equipment, measuring tactile perception data during ophthalmic surgery, and setting the sampling frequency of the sensor equipment to ensure that dynamically changing tactile perception data is measured; Step S2: data conversion, pre-processing the tactile perception data, and then preparing an analog-to-digital converter to convert the analog signal output by the sensor device into a digital signal; Step S3: data transmission, using a wireless communication module to transmit the converted tactile perception data to a computer; Step S4: Data analysis: Use the dynamic force calibration algorithm to calibrate the force value data in the tactile perception data to obtain the calibrated force value F cal , and then use the force adjustment algorithm according to the calibrated force value F cal Get the force adjustment ΔF adj Finally, through the comprehensive quantification algorithm and combined with the calibrated force value F cal And force adjustment ΔF adj Get the comprehensive quantitative index Q sur , set the comprehensive quantitative index Q sur The danger threshold is Y1, Q sur If it is greater than Y1, it means the force control effect is good and the operation can be continued; otherwise, the machine should be stopped for inspection; Step S5: Record the results, build a database, and store the data during the ophthalmic surgery in the database.

2. The method for quantifying ophthalmic tactile perception information according to claim 1, characterized in that: The preprocessing includes filtering, smoothing and denoising.

3. The method for quantifying ophthalmic tactile perception information according to claim 1, characterized in that: The dynamic force calibration algorithm process in the data analysis step is as follows: ； Where F is the force value, F cal is the force value after calibration; F maa is the initial force value; P act It is the pressure on the surface of the eyeball; P ref is the standard pressure value; α is the pressure influence coefficient, which ranges from 0 to 1 and is used to adjust the effect of pressure changes on the force value.

4. The method for quantifying ophthalmic tactile perception information according to claim 3, characterized in that: The force value adjustment algorithm process in the data analysis step is as follows: ； Where ΔF adj is the force adjustment amount; F th is the force threshold; F cal is the force value after calibration; F max is the maximum force value; β is the force difference influence coefficient, with an initial value of 0.5, which is used to reflect the influence of the difference between the force value after calibration and the force value threshold on the force value adjustment amount.

5. The method for quantifying ophthalmic tactile perception information according to claim 4, characterized in that: The comprehensive quantization algorithm process is as follows: ； Where Q sur It is a comprehensive quantitative indicator; F cal is the force value after calibration; RMS(F seq ) is the RMS value of the force value sequence during the operation, indicating the average fluctuation level of the force value; |ΔF adj | is the absolute value of the force adjustment; F max is the maximum force value; γ is the influence coefficient of force adjustment; Comprehensive quantitative index Q sur It can provide intuitive reference for medical staff, comprehensive quantitative index Q sur The higher the value, the better the force control effect during ophthalmic surgery, and the more accurate and safe the surgical operation is. On the contrary, the force control effect is poor. Specifically, set the comprehensive quantitative index Q sur The danger threshold is Y1, when Q sur When it is less than the dangerous threshold value Y1, stop the operation, check and adjust the surgical parameters; Specifically, RMS(F seq )The calculation process is as follows: ； Where RMS(F seq ) is the RMS value of the force sequence during the operation; F i is the i-th force value in the sequence; N is the total number of force values ​​in the sequence; The root mean square value (RMS) of the force sequence during surgery seq ) indicates the average level of force fluctuation during surgery. The larger the value, the more drastic the force fluctuation, and the smaller the value, the more stable the force fluctuation.

6. The method for quantifying ophthalmic tactile perception information according to claim 5, characterized in that: Set the root mean square value RMS(F seq ) is Y2, when the root mean square value RMS(F seq ) is greater than the fluctuation threshold Y2, indicating that the force fluctuation during the operation is large. At this time, the force difference influence coefficient β in the force adjustment algorithm should be increased, specifically: ； Where β is the influence coefficient of force difference; F cal is the force value after calibration; F max is the maximum force value; By increasing the force difference influence coefficient β in the force adjustment algorithm, the force adjustment amount ΔF can be increased. adj , thereby reducing the comprehensive quantitative index Q sur , so that it can be adjusted in real time according to force fluctuations.

7. The method for quantifying ophthalmic tactile perception information according to claim 1, characterized in that: The database is constructed by combining cloud storage with local storage, and the local storage includes a mechanical hard disk.

8. The method for quantifying ophthalmic tactile perception information according to claim 1, characterized in that: The wireless communication module is a Wi-Fi module, and the analog-to-digital converter is a pipeline analog-to-digital converter.

Images