Medical instrument control method and system, electronic equipment and storage medium

Abstract

The invention provides a medical instrument control method and system, electronic equipment and a storage medium. The method comprises the steps of determining an operation mode of a medical instrument according to biological sample characteristics, input of an operator and changes of an operation environment; according to the operation mode, the biological sample characteristics, the input of an operator and the current state of the medical instrument, judging whether the operation parameters of the medical instrument need to be adjusted or not; if adjustment is needed, basic operation parameters are determined according to current biological sample physiological parameters, an experience compensation coefficient is determined according to experience and skills of an operator, and an environment compensation coefficient is determined according to changes of an operation environment; according to the operation mode, the empirical compensation coefficient and the environment compensation coefficient, the basic operation parameters are corrected to obtain final operation parameters, and the medical instrument is controlled according to the final operation parameters. The performance and the treatment effect of the medical instrument can be optimized, and the safety and the effectiveness of medical operation are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and more specifically, to a medical device control method, system, electronic device and storage medium. Background Art

[0002] In the medical field, precise control of medical devices is essential to improve treatment effects and ensure the safety of biological samples. Existing medical device control methods often rely on preset parameters and fixed operating modes, which may not be able to adapt to the rapid changes in the physiological state of biological samples and differences in operator skills. In addition, the uncertainty of the medical environment, such as temperature, humidity, and equipment aging, may also affect the performance of medical devices. These factors work together, which may result in medical devices failing to achieve optimal treatment effects and may even cause unnecessary risks to biological samples.

[0003] Traditional medical device control systems often lack sufficient flexibility and adaptability to dynamically adjust based on real-time data. For example, they may not be able to adjust treatment intensity based on real-time physiological parameter changes in biological samples, or optimize the operating interface based on the operator's experience level. In addition, existing systems may not take into account the impact of environmental factors on medical device performance, such as power supply fluctuations, mechanical wear, etc.

[0004] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing medical device control method fails to fully consider the impact of individual differences in biological samples, operator skill levels, and changes in the operating environment on the performance of medical devices, resulting in the inability to achieve accurate and personalized control of medical devices, thereby affecting the treatment effect and the safety of biological samples. Summary of the invention

[0005] The present invention provides a medical device control method, system, electronic equipment and storage medium.

[0006] In a first aspect of the present invention, a medical device control method is provided, comprising:

[0007] Determine the operating mode of the medical device based on biological sample characteristics, operator input, and changes in the operating environment;

[0008] determining whether an operating parameter of the medical device needs to be adjusted based on the operating mode and biological sample characteristics, operator input, and a current state of the medical device;

[0009] If adjustment is needed, the basic operating parameters are determined according to the current physiological parameters of the biological sample, the experience compensation coefficient is determined according to the operator's experience and skills, and the environmental compensation coefficient is determined according to changes in the operating environment;

[0010] The basic operating parameters are corrected according to the operating mode, the experience compensation coefficient and the environmental compensation coefficient to obtain final operating parameters, and the medical device is controlled with the final operating parameters.

[0011] Furthermore, the calculation formula of the final operating parameters is:

[0012] P final =P base ×C exp ×C env

[0013] Where P final is the final operating parameter, P base is the basic operating parameter, C exp is the empirical compensation coefficient, C env is the environmental compensation coefficient.

[0014] Furthermore, determining the operation mode of the medical device according to the biological sample characteristics, the operator's input and the change of the operation environment includes:

[0015] The weighted average physiological parameter value of the biological sample within the preset time is calculated according to the characteristics of the biological sample. The calculation formula is:

[0016]

[0017] Where P i is the physiological parameter value at the i-th time point, w i is the weight of the i-th time point;

[0018] The weighted average input value of the operator within the preset time is calculated based on the operator's input. The calculation formula is:

[0019] In the formula, I i is the operator input value at the i-th time point, w i is the weight of the i-th time point;

[0020] According to the changes in the operating environment, the weighted change rate of the environment within the preset time is calculated. The calculation formula is:

[0021] In the formula, E i is the environmental change rate at the i-th time point, w i is the weight of the i-th time point;

[0022] The operation mode is judged according to the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate to determine the operation mode of the medical device.

[0023] Further, the determining the operation mode of the medical device according to the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate includes:

[0024] When P avg ≥P threshold , I avg ≥I threshold , and E rate ≥E threshold , then the operation mode is mode 1;

[0025] When P avg ≥P threshold , I avg ≥I threshold , and E rate <E threshold , then the operation mode is mode 2;

[0026] When P avg ≥P threshold , I avg threshold , and E rate ≥E threshold , then the operation mode is mode three;

[0027] When P avg ≥P threshold , I avg threshold , and E rate <E threshold , then the operation mode is mode 4;

[0028] When P avg <P threshold , I avg ≥I threshold , and E rate ≥E threshold , then the operation mode is mode five;

[0029] When P avg <P threshold , I avg ≥I threshold , and E rate <E threshold , then the operation mode is mode six;

[0030] When P avg <P threshold , I avg threshold , and E rate ≥E threshold , then the operation mode is mode seven;

[0031] When P avg <P​​​threshold , I avg <I threshold , and E rate <E threshold , then the operation mode is mode eight;

[0032] Among them, P threshold , I threshold , E threshold They are physiological parameter threshold, input threshold and environmental change rate threshold;

[0033] Among them, P threshold , I threshold , E threshold They are physiological parameter threshold, input threshold and environmental change rate threshold;

[0034] The method of determining the operation mode of the medical device based on the biological sample characteristics, the operator's input and the changes in the operating environment also includes: when the biological sample characteristics, the operator's input or the changes in the operating environment do not meet the preset conditions, the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate are all default values.

[0035] Furthermore, judging whether it is necessary to adjust the operating parameters of the medical device according to the operating mode and the biological sample characteristics, the operator's input and the current state of the medical device includes:

[0036] Determine a minimum operating parameter adjustment threshold according to the operating mode; the minimum operating parameter adjustment threshold is positively correlated with the operating mode;

[0037] When the operator's input is 0, the current state of the medical device is a stable state, and the biological sample characteristic is greater than the minimum operating parameter adjustment threshold, it is determined that the operating parameters of the medical device need to be adjusted.

[0038] Furthermore, the determining of the experience compensation coefficient according to the operator's experience and skills includes:

[0039] Define the operator's experience level as L, the first experience level threshold as L1, and the second experience level threshold as L2;

[0040] If L≤L1, the empirical compensation coefficient is C exp1 ;

[0041] If L1<L≤L2, the empirical compensation coefficient is C exp2 ;

[0042] If L>L2, the empirical compensation coefficient is C exp3 ;

[0043] Among them, C exp1 , C exp2, C exp3 They are the experience compensation coefficients at different experience levels.

[0044] Further, determining the environment compensation coefficient according to the change of the operating environment includes:

[0045] Define the current operating environment change rate as E rate , the first environment change rate threshold is E rate1 , the second environment change rate threshold is E rate2 ;

[0046] If E rate ≤E rate1 , the environmental compensation coefficient is C exp1 ;

[0047] If E rate1 <E raet ≤E rate2 , the environmental compensation coefficient is C exp2 ;

[0048] If E rate >E rate2 , the environmental compensation coefficient is C exp3 ;

[0049] Among them, C exp1 , C exp2 , C exp3 are the environmental compensation coefficients under different environmental change rates.

[0050] In a second aspect of the present invention, there is provided a medical device control system, comprising:

[0051] An operation mode recognition module determines the operation mode of the medical device based on biological sample characteristics, operator input, and changes in the operating environment;

[0052] a parameter adjustment judgment module, which judges whether the operating parameters of the medical device need to be adjusted according to the operation mode and biological sample characteristics, the operator's input and the current state of the medical device;

[0053] The parameter determination module determines the basic operating parameters according to the current physiological parameters of the biological sample, determines the experience compensation coefficient according to the experience and skills of the operator, and determines the environment compensation coefficient according to the change of the operating environment if the parameter adjustment judgment module determines that adjustment is needed;

[0054] An operating parameter calculation module, which corrects the basic operating parameters according to the operating mode, the experience compensation coefficient and the environmental compensation coefficient to obtain final operating parameters;

[0055] A control module controls the medical device according to the final operating parameters to optimize the performance and treatment effect of the medical device.

[0056] In a third aspect of the present invention, an electronic device is provided, comprising: at least one processor, a memory and an input-output unit; wherein the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute any one of the methods described in the first aspect.

[0057] In a fourth aspect of the present invention, a computer-readable storage medium is provided, which includes instructions, and when the instructions are executed on a computer, the computer executes any one of the methods in the first aspect.

[0058] The above-mentioned embodiments of the present invention have at least the following beneficial effects: The medical device control method of the present invention can dynamically adjust the operating parameters of the medical device to adapt to different treatment needs and operating conditions by comprehensively considering the characteristics of the biological sample, the operator's input, and the changes in the operating environment. This method can optimize the performance and treatment effect of the medical device and improve the safety and effectiveness of medical operations. Through real-time monitoring and analysis, the method can respond to changes in the physiological state of the biological sample, as well as the operator's skills and experience, thereby achieving more personalized and precise medical operations.

[0059] In addition, the medical device control system of the present invention can achieve precise control of medical devices through intelligent algorithms, which can reduce medical risks caused by improper operation or environmental changes. The system can automatically adjust the operating parameters according to the specific conditions of the biological samples and the operator's experience to ensure that the medical devices can perform at their best under various conditions. This intelligent control method can not only improve the success rate of treatment, but also reduce the workload of medical staff and improve the overall quality of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0061] Figure 1 A schematic flow chart of a medical device control method provided by an embodiment of the present invention;

[0062] Figure 2 A schematic diagram of the structure of a medical device control system provided by an embodiment of the present invention;

[0063] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0065] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0066] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0067] Reference below Figure 1 , Figure 1 FIG. 1 is a flow chart of a medical device control method provided by an embodiment of the present invention. Figure 1 As shown, a medical device control method 100 includes:

[0068] Step 101, determining the operation mode of the medical device according to the biological sample characteristics, the operator's input and the change of the operation environment;

[0069] Step 102, judging whether it is necessary to adjust the operating parameters of the medical device according to the operating mode and the biological sample characteristics, the operator's input and the current state of the medical device;

[0070] Step 103, if adjustment is required, basic operating parameters are determined according to the current physiological parameters of the biological sample, experience compensation coefficients are determined according to the experience and skills of the operator, and environmental compensation coefficients are determined according to changes in the operating environment;

[0071] Step 104: Correct the basic operating parameters according to the operation mode, the experience compensation coefficient and the environment compensation coefficient to obtain final operating parameters, and control the medical device with the final operating parameters.

[0072] It should be noted that the integrated cell extractor is a highly integrated device, which is usually used in the fields of biomedical research, cell biology, molecular biology research, and clinical diagnosis. This device can automatically complete multiple functions such as cell extraction, separation, and culture, greatly improving the efficiency and quality of cell preparation.

[0073] Specifically, in this embodiment, the operation mode of the integrated cell extractor is determined by comprehensively considering the characteristics of the cell sample, the operator's input, and changes in the operating environment. For example, the characteristics of the cell sample include cell viability, cell number, metabolic activity, etc. These parameters can be obtained in real time by an automated detection system.

[0074] The data entered by the operator may include the type of cells desired to be extracted, the number of cells required, special requirements during the extraction process, etc. This information can be entered into the system through the operator interface. Changes in the operating environment, such as laboratory temperature, CO2 concentration, humidity, etc., will also be monitored and taken into account. For example, if the metabolic activity of the cell sample is below the normal range, the system may automatically select a more gentle extraction mode to reduce potential damage to the cell sample.

[0075] In this mode, the integrated cell extraction machine will dynamically adjust operating parameters based on real-time data to ensure the best extraction results under different experimental conditions and requirements.

[0076] More specifically, the operator input involves the operator's specific settings for the equipment, such as the type, quantity, and speed of extracted cells. Changes in the operating environment include the temperature and humidity of the laboratory, which can affect the efficiency and quality of cell extraction. Basic operating parameters include extraction speed, pressure, time, etc., which can be determined based on the preset values ​​and historical data of the equipment.

[0077] Preferably, the operation mode of the integrated cell extractor can be intelligently selected based on the characteristics of the cell sample, the operator's input, and changes in the operating environment. For example, if the metabolic activity of the cell sample is abnormally high, the system will automatically select a gentler cell extraction mode to avoid causing additional stress to the cell sample. If the operator is a novice, the system will automatically adjust the parameters and provide more detailed operation instructions to ensure the accuracy of the operation.

[0078] During this process, the system may comprehensively evaluate and determine the best extraction scheme based on characteristics such as cell viability and cell number of the cell sample, as well as environmental factors such as laboratory temperature and humidity. In addition, the system may automatically adjust the extraction parameters and provide corresponding operation prompts based on the operator's skill level and experience to help the operator extract cells more efficiently.

[0079] Furthermore, if the temperature of the laboratory is too high, the system will adjust the operation of the cooling system to maintain the optimal temperature required during the cell extraction process. When determining the basic operating parameters, the system can also adjust the experience compensation coefficient according to the operator's experience level and adjust the environmental compensation coefficient according to the environmental change rate to obtain the final operating parameters.

[0080] In some embodiments, the calculation formula of the final operating parameters is:

[0081] P final =P base ×C exp ×C env

[0082] Where P final is the final operating parameter, P base is the basic operating parameter, C exp is the empirical compensation coefficient, C exp is the environmental compensation coefficient.

[0083] It should be noted that this embodiment describes in detail a calculation method for determining the final operating parameters according to the operating mode of the integrated cell extractor and the characteristics of the biological sample, the operator's input, and changes in the operating environment.

[0084] Specifically, the final operating parameters of the integrated cell extractor are calculated by multiplying the basic operating parameters with the experience compensation coefficient and the environmental compensation coefficient. The basic operating parameters are pre-set according to the characteristics of the biological sample. For example, if the biological sample to be extracted is hematopoietic stem cells, the basic operating parameters include a lower extraction speed and pressure to protect the integrity of the cells.

[0085] More specifically, the empirical compensation factor is adjusted based on the skills and experience of the operator. For example, a smaller compensation factor is used for experienced operators because they are able to control the extraction process more accurately. The environmental compensation factor is adjusted based on changes in the operating environment. For example, if the temperature in the laboratory suddenly rises and the cooling system needs to be operated more intensively, the environmental compensation factor will increase accordingly.

[0086] Preferably, the following steps can be used to calculate the final operating parameters: first, determine the basic operating parameters, such as extraction speed and pressure, based on the real-time physiological parameters of the biological sample. Then, determine the experience compensation coefficient based on the operator's experience level. For example, if the operator is a novice, the experience compensation coefficient will be set higher to provide more protection measures.

[0087] Furthermore, the environmental compensation coefficient is determined according to the changes in the operating environment, such as the temperature and humidity of the laboratory. Finally, the basic operating parameters are multiplied by the empirical compensation coefficient and the environmental compensation coefficient to obtain the final operating parameters. In addition, these parameters can be fine-tuned according to the real-time feedback and historical data of the cell extractor to ensure the stability of the extraction process and the survival rate of the cells.

[0088] In some embodiments, determining the operation mode of the medical device according to the biological sample characteristics, the operator's input and the change of the operation environment includes:

[0089] The weighted average physiological parameter value of the biological sample within the preset time is calculated according to the characteristics of the biological sample. The calculation formula is:

[0090]

[0091] Where P i is the physiological parameter value at the i-th time point, w i is the weight of the i-th time point;

[0092] The weighted average input value of the operator within the preset time is calculated based on the operator's input. The calculation formula is:

[0093]

[0094] In the formula, I i is the operator input value at the i-th time point, w i is the weight of the i-th time point;

[0095] According to the changes in the operating environment, the weighted change rate of the environment within the preset time is calculated. The calculation formula is:

[0096] In the formula, E i is the environmental change rate at the i-th time point, w i is the weight of the i-th time point;

[0097] The operation mode is judged according to the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate to determine the operation mode of the medical device.

[0098] It should be noted that this embodiment describes how to determine the operation mode of the integrated cell extractor according to the characteristics of the biological sample, the operator's input, and changes in the operating environment.

[0099] Specifically, the determination of the operating mode is based on real-time monitoring of key physiological parameters of the cell sample, such as cell viability, cell number, etc., as well as data entered by the operator, such as target cell type, expected extraction quantity, etc. Changes in the operating environment, such as laboratory temperature, CO2 concentration, etc., are also taken into account. For example, if the viability of the cell sample is lower than the normal range, a gentler extraction mode needs to be selected to avoid causing additional stress to the cell sample.

[0100] More specifically, the type of cells to be extracted input by the operator will affect the operating parameter settings of the extractor, such as different pressures and speeds are required to extract blood cells and skin cells. In addition, if the laboratory temperature is too high, an extraction mode that can adapt to the high temperature environment needs to be selected.

[0101] Preferably, the determination of the operation mode can be refined by the following steps: First, the weighted average cell viability of the biological sample within the preset time is calculated, for example, if the cell viability readings of the biological sample in the past 5 minutes are 85%, 88%, 90%, 92% and 93%, and each reading has the same weight, then the weighted average cell viability is 90%. Secondly, the weighted average input value of the operator within the preset time is calculated, for example, if the operator inputs the speed setting of the cell extraction 5 times within 5 minutes, which are 300, 350, 400, 450 and 500 respectively, and each input has the same weight, then the weighted average speed is 400.

[0102] Furthermore, the weighted rate of change of the environment within a preset time is calculated. For example, if the temperature of the laboratory has risen from 22°C to 24°C in the past 5 minutes, and each temperature reading has the same weight, the weighted rate of change is 23°C. Based on these weighted averages, the system can determine the most appropriate operating mode for the current situation.

[0103] In some embodiments, determining the operation mode of the medical device according to the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate includes:

[0104] When P avg ≥P threshold , I avg ≥I threshold , and E rate ≥E threshold , then the operation mode is mode 1;

[0105] When P avg ≥P threshold , I avg ≥I threshold , and E rate <E threshold , then the operation mode is mode 2;

[0106] When P avg ≥P threshold , I avg <I threshold , and E rate ≥E threshold , then the operation mode is mode three;

[0107] When P avg ≥P threshold , I avg<T threshold , and E rate <E threshold , then the operation mode is mode 4;

[0108] When P avg <P threshold , I avg >I threshold , and E rate ≥E threshold , then the operation mode is mode five;

[0109] When P avg ≥P threshold , I avg <P threshold , and E rate <E threshold , then the operation mode is mode six;

[0110] When P avg ≥P threshold , I avg ≥I threshold , and E rate ≥E threshold , then the operation mode is mode seven;

[0111] When P avg <P threshold , I avg <I threshold , and E rate <E threshold , then the operation mode is mode eight;

[0112] Among them, P threshold , I threshold , E threshold They are physiological parameter threshold, input threshold and environmental change rate threshold;

[0113] Among them, P threshold , I threshold , E threshold They are physiological parameter threshold, input threshold and environmental change rate threshold;

[0114] The method of determining the operation mode of the medical device based on the biological sample characteristics, the operator's input and the changes in the operating environment also includes: when the biological sample characteristics, the operator's input or the changes in the operating environment do not meet the preset conditions, the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate are all default values.

[0115] Specifically, mode 1 is a basic extraction mode, which is suitable for standardized samples and conventional extraction conditions. For example, when the cell viability of the sample is high, the quantity is sufficient, and the operator has no special input requirements, the system may select this mode.

[0116] Mode 2 is suitable for cases where the sample cell viability is high but the number is small, or the operator specifies a lower extraction speed. This mode may use milder extraction conditions to reduce cell damage.

[0117] Mode 3 is suitable for situations where the sample cell viability is high and there are special requirements for the extraction speed. For example, the operator may need to extract cells quickly but at the same time require high cell viability.

[0118] Mode 4 is suitable for cases where the cell viability of the sample is low but the number of cells is sufficient. This mode may use special extraction procedures to improve the recovery rate of cells.

[0119] Mode 5 is suitable for cases where the sample has low cell viability and number. This mode may use more complex extraction strategies, such as the use of special enzyme treatments or optimized extraction buffers.

[0120] Mode six is ​​suitable for cases where the operator has special input, such as a specific type of cell extraction or specific extraction conditions, even if these conditions may not be optimal.

[0121] Mode 7 is suitable for situations where the current state of the device is not optimal, such as temperature or pressure is not within the optimal range, but cell extraction is still required. This mode may adjust the extraction parameters to adapt to the actual state of the device.

[0122] Mode 8 is an advanced or custom extraction mode that is suitable for special cell types or complex extraction requirements. This mode may require detailed input from the operator or determine the best extraction strategy based on historical data and experience.

[0123] Each mode includes different operating parameters, such as extraction speed, pressure, temperature, enzyme treatment time, etc. These parameters are dynamically adjusted according to the characteristics of the biological sample, the operator's input and the status of the equipment to ensure the efficiency of the cell extraction process and the activity of the cells.

[0124] In practical applications, the integrated cell extraction machine will automatically determine the current mode through built-in algorithms and sensors, and adjust the extraction process according to preset conditions and parameters. This ensures that the best extraction results can be obtained under different experimental conditions and requirements.

[0125] Preferably, the determination of the operation mode is based on a comprehensive evaluation of the physiological parameters of the biological sample, the operator input and the environmental changes. For example, the weighted average physiological parameter value includes the cell viability, cell number, etc. of the biological sample, which are monitored in real time by sensors and assigned different weights. The weighted average input value involves the extraction cell type, extraction conditions and speed selected by the operator, etc., which are also weighted according to their importance.

[0126] More specifically, the weighted environmental change rate includes changes in environmental factors such as temperature and humidity in the laboratory, which are also weighted according to their impact on the extraction process. The calculation formula for these weighted values ​​can be a simple arithmetic mean or a more complex algorithm, such as a weighted harmonic mean, to reflect the importance of different parameters.

[0127] Preferably, the determination of the operation mode can be further refined by the following steps: First, thresholds are set, such as physiological parameter thresholds, input thresholds, and environmental change rate thresholds, which are determined based on historical data and expert advice. Then, the corresponding operation mode is selected based on the comparison results of the weighted average values ​​and the thresholds. For example, if the weighted average physiological parameter value is higher than the physiological parameter threshold, the weighted average input value is higher than the input threshold, and the weighted environmental change rate is lower than the environmental change rate threshold, then mode 2 is selected.

[0128] Furthermore, an intelligent algorithm can be introduced to optimize the mode selection process, which can learn from past operation data to predict and recommend the best operation mode. A feedback mechanism can also be set up to adjust the threshold and weight according to the extraction results to achieve more precise control.

[0129] In some embodiments, judging whether it is necessary to adjust the operating parameters of the medical device according to the operating mode and the biological sample characteristics, the operator's input and the current state of the medical device includes:

[0130] Determine a minimum operating parameter adjustment threshold according to the operating mode; the minimum operating parameter adjustment threshold is positively correlated with the operating mode;

[0131] When the operator's input is 0, the current state of the medical device is a stable state, and the biological sample characteristic is greater than the minimum operating parameter adjustment threshold, it is determined that the operating parameters of the medical device need to be adjusted.

[0132] It should be noted that this embodiment describes in detail how to determine whether the operating parameters of the integrated cell extractor need to be adjusted based on the operating mode and biological sample characteristics, the operator's input, and the current state of the medical device.

[0133] Specifically, the judgment process involves analysis of the operation mode and evaluation of the current physiological state of the biological sample, the operator input command and the current state of the device. For example, the operation mode is determined based on the biological sample characteristic threshold, the input threshold and the environmental change rate threshold.

[0134] Further, the biological sample characteristics include cell viability, cell number, etc., the operator input includes the type and number of extracted cells, and the current state of the equipment includes the operating temperature and pressure of the machine, etc. The minimum operating parameter adjustment threshold is determined based on the operating mode, for example, for mode one, a lower adjustment threshold is set, and for mode eight, a higher adjustment threshold is set.

[0135] Preferably, the judgment process can be further refined by the following steps: First, a minimum operating parameter adjustment threshold is determined according to the current operating mode, which can be pre-set or dynamically adjusted based on historical operating data. Then, it is evaluated whether the operator's input is zero, that is, whether the operator has not made any input, which means that the operator is observing the device status or waiting for certain conditions to be met.

[0136] More specifically, it is checked whether the current state of the medical device is a stable state, for example, whether the pressure and temperature of the device are within the normal range. Finally, if the biological sample characteristic is greater than the minimum operating parameter adjustment threshold, it is determined that the operating parameter needs to be adjusted.

[0137] Furthermore, an intelligent monitoring system can be introduced that can analyze the biological sample status and equipment status in real time and automatically recommend whether the operating parameters need to be adjusted. A user interface can also be set up to allow the operator to manually input instructions on whether adjustments are needed to increase the flexibility of the system.

[0138] In some embodiments, determining the experience compensation coefficient according to the operator's experience and skills includes:

[0139] Define the operator's experience level as L, the first experience level threshold as L1, and the second experience level threshold as L2;

[0140] If L≤L1, the empirical compensation coefficient is C exp1 ;

[0141] If L1<L≤L2, the empirical compensation coefficient is C exp2 ;

[0142] If L>L2, the empirical compensation coefficient is C exp3 ;

[0143] Among them, C exp1 , C exp2 , C exp3 They are the experience compensation coefficients at different experience levels.

[0144] It should be noted that this embodiment describes in detail how to determine the experience compensation coefficient based on the operator's experience and skills in order to adjust the operating parameters of the integrated cell extractor.

[0145] Specifically, the experience compensation coefficient is determined based on the operator's experience level. The operator's experience level can be assessed based on their past operating records, training level, or certification level obtained through assessment. For example, operators can be divided into three levels: primary, intermediate, and senior, and each level corresponds to a different experience compensation coefficient.

[0146] More specifically, junior operators require a higher compensation factor to ensure safety of operation, while senior operators require a lower compensation factor because they are more proficient in controlling the extraction process. The first experience level threshold and the second experience level threshold are boundary values ​​for distinguishing different experience levels.

[0147] Preferably, the process of determining the experience compensation coefficient can be further refined by the following steps: First, a threshold is set for each experience level, for example, the experience level threshold of a primary operator is 1, that of an intermediate operator is 2, and that of an advanced operator is 3. Then, according to the actual experience level of the operator, a corresponding experience compensation coefficient is selected, such as the experience compensation coefficient of a primary operator is 0.8, that of an intermediate operator is 0.9, and that of an advanced operator is 1.0.

[0148] Furthermore, a dynamic adjustment mechanism can be introduced to adjust the operator's experience level and the corresponding compensation coefficient according to the operator's performance in actual operation. A feedback system can also be designed to let the operator understand his or her own operation level and improve his or her skills based on the feedback.

[0149] In some embodiments, determining the environment compensation coefficient according to the change of the operating environment includes:

[0150] Define the current operating environment change rate as E rate , the first environment change rate threshold is E rate1 , the second environment change rate threshold is E rate2 ;

[0151] If E rate ≤E rate1 , the environmental compensation coefficient is C env1 ;

[0152] If E rate1 <E rate ≤E rate2 , the environmental compensation coefficient is C env2 ;

[0153] If E rate >E rate2 , the environmental compensation coefficient is C env3 ;

[0154] Among them, C env1 , C env2 , Cenv3 are the environmental compensation coefficients under different environmental change rates.

[0155] It should be noted that this embodiment describes in detail how to determine the environmental compensation coefficient according to changes in the operating environment so as to adjust the operating parameters of the integrated cell extractor.

[0156] Specifically, the environmental compensation coefficient is determined based on the rate of change of the current operating environment. The rate of change of the operating environment includes changes in parameters such as the temperature, humidity, and air pressure of the laboratory. For example, if the temperature of the laboratory rises significantly in a short period of time, this will affect the efficiency of cell extraction and the activity of the cells, so it is necessary to adjust the environmental compensation coefficient to compensate for this change. The first environmental change rate threshold and the second environmental change rate threshold are used to distinguish the boundary values ​​of different degrees of environmental changes.

[0157] Preferably, the process of determining the environmental compensation coefficient can be further refined by the following steps: First, monitor the environmental parameters of the laboratory and calculate their rate of change, such as the temperature change rate. Then, determine which environmental compensation coefficient to use based on the comparison between the environmental change rate and the preset threshold. For example, if the temperature change rate is lower than the first environmental change rate threshold, the environmental compensation coefficient is set to 1.0; if the change rate is between the two thresholds, the environmental compensation coefficient is set to 1.1; if the change rate is higher than the second environmental change rate threshold, the environmental compensation coefficient is set to 1.2.

[0158] Furthermore, a real-time monitoring system can be introduced, which can continuously track changes in environmental parameters and automatically adjust environmental compensation coefficients to adapt to environmental changes. An early warning mechanism can also be designed. When the environmental change exceeds a certain critical value, the system will automatically notify the operator and recommend appropriate adjustment measures.

[0159] The above-mentioned embodiments of the present invention have the following beneficial effects: The medical device control method of the present invention can adjust the operation parameters in a personalized manner according to different biological sample physiological states, operator skills and operating environments. This method can dynamically optimize the operation mode of the medical device according to real-time data, ensuring that the medical device can operate in a manner that best suits the current situation under various conditions. Through precise adjustment, the accuracy and safety of treatment can be improved, and the medical risks caused by parameter mismatch can be reduced.

[0160] In addition, the method can improve the adaptability and flexibility of medical devices. By real-time monitoring of biological sample characteristics, operator input and environmental changes, and adjusting operating parameters accordingly, the method can ensure that medical devices can still maintain efficient and stable performance when facing complex and changing medical environments. This intelligent adjustment mechanism can not only improve treatment efficiency, but also provide a more comfortable and personalized medical experience for biological samples.

[0161] like Figure 2 As shown, a medical device control system 200 of some embodiments includes:

[0162] An operation mode recognition module 201 determines the operation mode of the medical device according to the biological sample characteristics, the operator's input and the change of the operation environment;

[0163] A parameter adjustment determination module 202 determines whether the operation parameters of the medical device need to be adjusted according to the operation mode and biological sample characteristics, the operator's input and the current state of the medical device;

[0164] The parameter determination module 203 determines the basic operating parameters according to the current physiological parameters of the biological sample, determines the experience compensation coefficient according to the experience and skills of the operator, and determines the environment compensation coefficient according to the change of the operating environment if the parameter adjustment judgment module determines that adjustment is needed;

[0165] An operating parameter calculation module 204 amends the basic operating parameters according to the operation mode, the experience compensation coefficient and the environment compensation coefficient to obtain final operating parameters;

[0166] The control module 205 controls the medical device according to the final operating parameters to optimize the performance and treatment effect of the medical device.

[0167] It is understandable that the modules recorded in the medical device control system 200 are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the medical device control method are also applicable to the medical device control system 200 and the modules contained therein, and will not be described in detail here.

[0168] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0169] like Figure 3As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0170] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0171] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0172] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A medical device control method, characterized in that: The method comprises: Determine the operating mode of the medical device based on biological sample characteristics, operator input, and changes in the operating environment; determining whether an operating parameter of the medical device needs to be adjusted based on the operating mode and biological sample characteristics, operator input, and a current state of the medical device; If adjustment is needed, the basic operating parameters are determined according to the current physiological parameters of the biological sample, the experience compensation coefficient is determined according to the operator's experience and skills, and the environmental compensation coefficient is determined according to changes in the operating environment; The basic operating parameters are corrected according to the operating mode, the experience compensation coefficient and the environmental compensation coefficient to obtain final operating parameters, and the medical device is controlled with the final operating parameters.

2. The method according to claim 1, characterized in that The calculation formula of the final operating parameters is: P final =P base ×C exp ×C env Where P final is the final operating parameter, P base is the basic operating parameter, C exp is the empirical compensation coefficient, C env is the environmental compensation coefficient.

3. The method according to claim 1 or 2, characterized in that: The step of determining the operation mode of the medical device according to the biological sample characteristics, the operator's input and the change of the operation environment includes: The weighted average physiological parameter value of the biological sample within the preset time is calculated according to the characteristics of the biological sample. The calculation formula is: Where P i is the physiological parameter value at the i-th time point, w i is the weight of the i-th time point; The weighted average input value of the operator within the preset time is calculated based on the operator's input. The calculation formula is: In the formula, I i is the operator input value at the i-th time point, w i is the weight of the i-th time point; According to the changes in the operating environment, the weighted change rate of the environment within the preset time is calculated. The calculation formula is: In the formula, E i is the environmental change rate at the i-th time point, w i is the weight of the i-th time point; The operation mode is judged according to the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate to determine the operation mode of the medical device.

4. The method according to claim 3, characterized in that Determining the operation mode of the medical device according to the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate includes: When P avg ≥P threshold , I avg ≥I threshold , and E rate ≥E threshold , then the operation mode is mode 1; When P avg ≥P threshold , I avg ≥I threshold , and E rate <E threshold′ , then the operation mode is mode 2; When P avg ≥P threshold , I avg <I threshold , and E rate ≥E threshold , then the operation mode is mode three; When P avg ≥P threshold , I avg <I threshold , and E rate <E threshold , then the operation mode is mode 4; When P avg <P threshold , I avg ≥I threshold , and E rate ≥E threshold , then the operation mode is mode five; When P avg <P threshold , I avg ≥I threshold , and E rate <E threshold , then the operation mode is mode six; When P avg <P threshold , I avg <I threshold , and E rate ≥E threshold’ , then the operation mode is mode seven; When P avg <P threshold , I avg <I threshold , and E rate <E threshold , then the operation mode is mode eight; Among them, P threshold , I threshold , E threshold They are physiological parameter threshold, input threshold and environmental change rate threshold; Among them, P threshold , I threshold , E threshold They are physiological parameter threshold, input threshold and environmental change rate threshold; The method of determining the operation mode of the medical device based on the biological sample characteristics, the operator's input and the changes in the operating environment also includes: when the biological sample characteristics, the operator's input or the changes in the operating environment do not meet the preset conditions, the weighted average physiological parameter value, the weighted average input value and the weighted environment change rate are all default values.

5. The method according to claim 4, characterized in that The determining whether it is necessary to adjust the operating parameters of the medical device according to the operating mode and the biological sample characteristics, the operator's input and the current state of the medical device includes: Determine a minimum operating parameter adjustment threshold according to the operating mode; the minimum operating parameter adjustment threshold is positively correlated with the operating mode; When the operator's input is 0, the current state of the medical device is a stable state, and the biological sample characteristic is greater than the minimum operating parameter adjustment threshold, it is determined that the operating parameters of the medical device need to be adjusted.

6. The method according to claim 5, characterized in that The experience compensation coefficient is determined according to the operator's experience and skills, including: Define the operator's experience level as L, the first experience level threshold as L1, and the second experience level threshold as L2; If L≤L1, the empirical compensation coefficient is C exp1 ; If L1<L≤L2, the empirical compensation coefficient is C exp2 ; If L>L2, the empirical compensation coefficient is C exp3 Among them, C exp1 , C exp2 , C exp3 They are the experience compensation coefficients at different experience levels.

7. The method according to claim 6, characterized in that Determining the environmental compensation coefficient according to the change of the operating environment includes: Define the current operating environment change rate as E rate , the first environment change rate threshold is E rate1 , the second environment change rate threshold is E rate2 If E rate ≤E rate1 , the environmental compensation coefficient is C exp1 ; If E rate1 <E rate ≤E rate2 , the environmental compensation coefficient is C exp2 ; If E rate >E rate2 , the environmental compensation coefficient is C exp3 ; Among them, C exp1 , C exp2 , C exp3 are the environmental compensation coefficients under different environmental change rates.

8. A medical device control system, characterized in that: The system comprises: An operation mode recognition module determines the operation mode of the medical device based on biological sample characteristics, operator input, and changes in the operating environment; a parameter adjustment judgment module, which judges whether the operating parameters of the medical device need to be adjusted according to the operation mode and biological sample characteristics, the operator's input and the current state of the medical device; The parameter determination module determines the basic operating parameters according to the current physiological parameters of the biological sample, determines the experience compensation coefficient according to the experience and skills of the operator, and determines the environment compensation coefficient according to the change of the operating environment if the parameter adjustment judgment module determines that adjustment is needed; An operating parameter calculation module, which corrects the basic operating parameters according to the operating mode, the experience compensation coefficient and the environmental compensation coefficient to obtain final operating parameters; A control module controls the medical device according to the final operating parameters to optimize the performance and treatment effect of the medical device.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor implements the medical device control method according to any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the medical device control method according to any one of claims 1 to 8.

Images