Blood oxygen probe performance evaluation method and system

Abstract

The invention provides a blood oxygen probe performance evaluation method and system, and relates to the technical field of medical instruments. Probe performance evaluation is directly carried out on existing physiological parameter monitoring equipment, the problems that a traditional detection process is low in efficiency, high in cost and long in turnover time are effectively solved, evaluation efficiency and convenience are improved, special equipment and professionals are not needed, and cost is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical devices, in particular to a blood oxygen probe performance evaluation method and system. BACKGROUND

[0002] In large medical institutions, physiological parameter monitoring devices are an important component for real-time monitoring of patients' vital signs, among which blood oxygen probes are used for non-invasive measurement of arterial oxygen saturation. However, the performance of blood oxygen probes will deteriorate due to factors such as use, disinfection, and aging, resulting in inaccurate measurement data and affecting clinical judgment. The traditional probe performance verification method is to send the probe to the biomedical engineering department for detection using special equipment, but this centralized detection process has limitations such as high logistics and time costs, long probe turnover time, etc.

[0003] In order to improve the efficiency and convenience of blood oxygen probe maintenance, medical institutions hope to use existing physiological parameter monitoring devices as a distributed evaluation platform to allow medical staff to directly perform rapid performance checks on the probes in the department without sending them to the central engineering department. However, integrating probe performance evaluation functions into existing monitoring devices poses technical challenges, including limited device computing resources, the need to simulate the optical properties and electrical environment of human tissue, and the need to avoid interfering with the normal function of the device during the evaluation process.

[0004] Therefore, there is a need for a simple and low-cost way to provide a stable test environment for the probe and make full use of the existing blood oxygen module hardware in the monitoring device, to achieve rapid evaluation of the performance of the blood oxygen probe under limited device computing resources, and to associate the evaluation results with the probe identifier and upload them to an external system to achieve effective management and traceability of blood oxygen probe assets.

[0005] There is currently no effective technical solution to the above problems. SUMMARY

[0006] The purpose of the present application is to provide a blood oxygen probe performance evaluation method and system that can directly evaluate the performance of blood oxygen probes on monitoring devices, improve evaluation efficiency and convenience, and reduce costs without the need for special equipment and professional personnel.

[0007] The present application provides a blood oxygen probe performance evaluation method for evaluating the optical function and cable electrical connectivity of a blood oxygen probe on a monitoring device. The steps of the method include:

[0008] Obtaining the signal characteristics of the blood oxygen probe interface, and triggering the monitoring device to enter a probe evaluation mode when the signal characteristics meet the preset conditions;

[0009] In the probe evaluation mode, the monitoring device controls the LED driving circuit of the blood oxygen module to drive the LED of the blood oxygen probe to emit light signals according to a preset test sequence, collects light signal data received by the blood oxygen probe by using the photodetector of the blood oxygen module, sends a test electrical signal by using the transmission circuit of the blood oxygen module, receives a return signal by the monitoring device, and measures electrical parameters of the cable loop;

[0010] According to the collected light signal data and the measured electrical parameters, the signal processing logic of the monitoring device is used to extract light signal parameter features and electrical parameter features from the light signal data, compare the light signal parameter features and the electrical parameter features with preset reference values, and obtain a performance state judgment result of the blood oxygen probe;

[0011] The performance state judgment result of the blood oxygen probe is presented on the display screen of the monitoring device, and after the performance state judgment result of the blood oxygen probe is associated with the identifier of the blood oxygen probe, the performance state judgment result is uploaded to an external system through the network interface of the monitoring device;

[0012] After the evaluation process is completed, the monitoring device automatically exits the probe evaluation mode and returns to the normal standby or patient monitoring mode.

[0013] Through the above scheme, the performance of the blood oxygen probe can be directly evaluated on the monitoring device, the evaluation efficiency and convenience are improved, a special device and professional personnel are not required, and the cost is reduced.

[0014] Optionally, the step of extracting light signal parameter features and electrical parameter features from the light signal data according to the collected light signal data and the measured electrical parameters, comparing the light signal parameter features and the electrical parameter features with preset reference values, and obtaining a performance state judgment result of the blood oxygen probe by using the signal processing logic of the monitoring device comprises the following steps:

[0015] S21, a preset probe aging model is obtained, the probe aging model is used to represent the mapping relationship between the use time of the blood oxygen probe and the drift amount of the light signal parameter features and the drift amount of the electrical parameter features, and the probe aging model is obtained by statistical analysis on historical blood oxygen probe performance data;

[0016] S22, according to the identifier of the blood oxygen probe, the use time of the blood oxygen probe is read from the blood oxygen probe interface, and based on the probe aging model, the light signal parameter feature drift amount and the electrical parameter feature drift amount corresponding to the use time of the blood oxygen probe are obtained;

[0017] S23, according to the light signal parameter feature drift amount and the electrical parameter feature drift amount, the preset reference value is corrected to obtain a corrected light signal parameter feature reference value and a corrected electrical parameter feature reference value, and the correction mode is to subtract the corresponding drift amount from the preset reference value;

[0018] S24, compare the optical signal parameter feature with the corrected optical signal parameter feature reference value to obtain an optical signal performance state judgment result, compare the electrical parameter feature with the corrected electrical parameter feature reference value to obtain an electrical performance state judgment result, and the comparison manner is to judge whether the optical signal parameter feature and the electrical parameter feature are within the corresponding corrected reference value range;

[0019] S25, according to the optical signal performance state judgment result and the electrical performance state judgment result, obtain a comprehensive performance state judgment result of the blood oxygen probe, and the comprehensive performance state judgment result includes three states of normal, aging and damage.

[0020] Through the above scheme, the aging factor of the blood oxygen probe is considered, and the accuracy of evaluation is improved.

[0021] Optionally, the probe aging model is obtained by the following statistical analysis method:

[0022] S211, collect optical signal parameter feature data and electrical parameter feature data of a plurality of historical blood oxygen probes at different use times, and record the corresponding use times;

[0023] S212, pre-process the collected optical signal parameter feature data and electrical parameter feature data, the pre-processing including data cleaning, outlier rejection and normalization processing, to obtain standardized optical signal parameter feature data and electrical parameter feature data;

[0024] S213, calculate the optical signal parameter feature drift and the electrical parameter feature drift according to the standardized optical signal parameter feature data and the electrical parameter feature data;

[0025] S214, taking the use time of the blood oxygen probe as the independent variable, taking the optical signal parameter feature drift and the electrical parameter feature drift as the dependent variable, using a regression analysis method, establishing a probe aging model, the probe aging model being a linear regression model, and the probe aging model parameters being estimated by a least square method;

[0026] S215, using a cross-validation method, calculate the root mean square error of the probe aging model, judge whether the root mean square error is less than a preset threshold, if yes, confirm that the probe aging model is effective.

[0027] Through the above scheme, a specific statistical analysis method for constructing the aging model is provided, and the effectiveness of the model is ensured.

[0028] Optionally, the step of obtaining the optical signal parameter feature drift and the electrical parameter feature drift corresponding to the use time of the blood oxygen probe based on the probe aging model according to the identifier of the blood oxygen probe, and reading the use time of the blood oxygen probe from the blood oxygen probe interface.

[0029] S221, judge whether the blood oxygen probe interface supports reading the use time, if yes, execute S222, otherwise, execute S223;

[0030] S222, if the blood oxygen probe interface supports reading the use time, read the use time data from the blood oxygen probe interface to obtain the actual use time of the blood oxygen probe, and then execute S224;

[0031] S223, if the blood oxygen probe interface does not support reading the use time, establish a use time input interface for receiving manually input use time data, and take the manually input use time data as the actual use time of the blood oxygen probe, and then execute S224;

[0032] S224, according to the actual use time of the blood oxygen probe obtained by S222 or S223, substitute it into the probe aging model to obtain the optical signal parameter characteristic drift and the electrical parameter characteristic drift corresponding to the use time of the blood oxygen probe.

[0033] Optionally, the comparison of the optical signal parameter characteristic with the corrected optical signal parameter characteristic reference value to obtain the optical signal performance state judgment result, and the comparison of the electrical parameter characteristic with the corrected electrical parameter characteristic reference value to obtain the electrical performance state judgment result, the comparison manner is a step of judging whether the optical signal parameter characteristic and the electrical parameter characteristic are within the range of the corresponding corrected reference value, comprising:

[0034] S241, according to the corrected optical signal parameter characteristic reference value and the corrected electrical parameter characteristic reference value, calculating the upper limit threshold and the lower limit threshold of the optical signal parameter characteristic, and the upper limit threshold and the lower limit threshold of the electrical parameter characteristic, the calculation manner is that the corrected optical signal parameter characteristic reference value and the corrected electrical parameter characteristic reference value are multiplied by (1+ preset proportion) to obtain the upper limit threshold, and multiplied by (1-preset proportion) to obtain the lower limit threshold;

[0035] S242, according to the upper limit threshold and the lower limit threshold calculated by S241, judging whether the optical signal parameter characteristic is greater than or equal to the lower limit threshold of the optical signal parameter characteristic and less than or equal to the upper limit threshold of the optical signal parameter characteristic, if yes, determining that the optical signal performance state is normal, otherwise, determining that the optical signal performance state is abnormal;

[0036] S243, according to the upper limit threshold and the lower limit threshold calculated by S241, judging whether the electrical parameter characteristic is greater than or equal to the lower limit threshold of the electrical parameter characteristic and less than or equal to the upper limit threshold of the electrical parameter characteristic, if yes, determining that the electrical performance state is normal, otherwise, determining that the electrical performance state is abnormal.

[0037] Optionally, the step of obtaining the comprehensive performance state judgment result of the blood oxygen probe according to the light signal performance state judgment result and the electrical performance state judgment result, the comprehensive performance state judgment result including three states of normal, aging, and damage, comprises:

[0038] S251, obtaining the light signal performance state judgment result and the electrical performance state judgment result, if both the light signal performance state and the electrical performance state are normal, determining that the comprehensive performance state of the blood oxygen probe is normal, and ending the process;

[0039] S252, if the light signal performance state is abnormal and the electrical performance state is normal, determining that the comprehensive performance state of the blood oxygen probe is aging, generating a maintenance suggestion of replacing the light signal device, and ending the process;

[0040] S253, if the light signal performance state is normal and the electrical performance state is abnormal, determining that the comprehensive performance state of the blood oxygen probe is aging, generating a maintenance suggestion of replacing the cable, and ending the process;

[0041] S254, if both the light signal performance state and the electrical performance state are abnormal, determining that the comprehensive performance state of the blood oxygen probe is damage, generating a suggestion of replacing the blood oxygen probe, and ending the process.

[0042] Optionally, the step of presenting the performance state judgment result of the blood oxygen probe on the display screen of the monitoring device, and uploading the performance state judgment result of the blood oxygen probe to an external system through a network interface of the monitoring device after associating the performance state judgment result of the blood oxygen probe with the identification of the blood oxygen probe, comprises:

[0043] S71, obtaining the type of the monitoring device and the network configuration information, determining whether the monitoring device supports wireless network connection, if yes, executing S72, otherwise, executing S73;

[0044] S72, if the monitoring device supports wireless network connection, establishing a wireless network connection, associating the performance state judgment result of the blood oxygen probe with the identification of the blood oxygen probe, uploading the data to a cloud server through a wireless network interface using HTTPS transmission protocol, and recording the timestamp, upload state, and data packet size;

[0045] S73, if the monitoring device does not support wireless network connection, determining whether the monitoring device supports wired network connection, if yes, establishing a wired network connection, associating the performance state judgment result of the blood oxygen probe with the identification of the blood oxygen probe, uploading the data to a server through a wired network interface using TCP / IP protocol, and recording the timestamp, upload state, and data packet size.

[0046] Optionally, the step of obtaining the signal characteristics of the blood oxygen probe interface, and triggering the monitoring device to enter the probe evaluation mode when the signal characteristics meet the preset conditions, comprises:

[0047] S81, judge whether the blood oxygen probe interface is connected to the blood oxygen module, if yes, execute S82, otherwise, end the process;

[0048] S82, if the blood oxygen probe interface is connected to the blood oxygen module, detect the voltage value of the preset signal pin of the blood oxygen module interface, judge whether the voltage value is within the preset voltage range, if yes, execute S83, otherwise, end the process;

[0049] S83, if the voltage value of the preset signal pin of the blood oxygen module interface is within the preset voltage range, send a probe evaluation mode trigger instruction to the control module of the monitoring device, control the monitoring device to enter the probe evaluation mode.

[0050] Optionally, the expression of the linear regression model is:

[0051] Y = β0 + β1·T + ε;

[0052] In the formula, Y is the optical signal parameter feature drift or the electrical parameter feature drift, β0 is a model parameter, β1 is a regression coefficient of use time, T is the use time of the blood oxygen probe, and ε is an error term.

[0053] In a second aspect, the present application provides a blood oxygen probe performance evaluation system for evaluating the optical function and cable electrical connectivity of a blood oxygen probe on a monitoring device, which comprises:

[0054] A trigger module is configured to acquire a signal feature of a blood oxygen probe interface, and trigger the monitoring device to enter a probe evaluation mode when the signal feature meets a preset condition.

[0055] A signal acquisition module is configured to, in the probe evaluation mode, control an LED driving circuit of the blood oxygen module by using the monitoring device, drive the LED of the blood oxygen probe to emit an optical signal according to a preset test sequence, collect optical signal data received by the blood oxygen probe by using a photodetector of the blood oxygen module, send a test electrical signal by using a transmission circuit of the blood oxygen module, receive a return signal by using the monitoring device, and measure an electrical parameter of a cable loop.

[0056] A judgment module is configured to, according to the collected optical signal data and the measured electrical parameter, extract optical signal parameter features and electrical parameter features from the optical signal data by using a signal processing logic of the monitoring device, compare the optical signal parameter features and the electrical parameter features with preset reference values, and obtain a performance state judgment result of the blood oxygen probe.

[0057] A result presentation and uploading module is configured to present the performance state judgment result of the blood oxygen probe on a display screen of the monitoring device, associate the performance state judgment result of the blood oxygen probe with an identifier of the blood oxygen probe, and upload the performance state judgment result of the blood oxygen probe to an external system through a network interface of the monitoring device.

[0058] a mode exit module, configured to make the monitoring device automatically exit the probe evaluation mode and return to a normal standby or patient monitoring mode after the procedure is completed.

[0059] As can be seen, the blood oxygen probe performance evaluation method and system provided by the present application directly evaluate the probe performance on the existing physiological parameter monitoring device, effectively solves the problems of low efficiency, high cost and long turnover time in the traditional detection process, improves the evaluation efficiency and convenience, and reduces the cost without the need of special equipment and professional personnel.

[0060] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0061] Fig. 1 A flow chart of the blood oxygen probe performance evaluation method provided by the present application.

[0062] Fig. 2 A structure schematic diagram of the blood oxygen probe performance evaluation system provided by the present application.

[0063] Label explanation: 21, trigger module; 22, signal acquisition module; 23, judgment module; 24, result presentation and uploading module; 25, mode exit module. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0065] It should be noted that: similar labels and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish description, and cannot be understood as indicating or implying relative importance.

[0066] Please refer to Figs. 1-2 The application provides a blood oxygen probe performance evaluation method and system, which can directly evaluate the performance of a blood oxygen probe on an existing physiological parameter monitoring device, improve evaluation efficiency and convenience, does not require special equipment and professional personnel, and reduces costs.

[0067] The application provides a blood oxygen probe performance evaluation method, which is used for evaluating the optical function and cable electrical connectivity of a blood oxygen probe on a monitoring device. The steps of the method include:

[0068] Obtaining signal characteristics of a blood oxygen probe interface, triggering the monitoring device to enter a probe evaluation mode when the signal characteristics meet preset conditions;

[0069] In the probe evaluation mode, the monitoring device controls the LED driving circuit of the blood oxygen module, drives the LED of the blood oxygen probe to emit light signals according to a preset test sequence, collects light signal data received by the blood oxygen probe by using the photodetector of the blood oxygen module, sends test electrical signals by using the transmission circuit of the blood oxygen module, receives return signals by the monitoring device, and measures electrical parameters of the cable loop;

[0070] According to the collected light signal data and measured electrical parameters, the signal processing logic of the monitoring device is used to extract light signal parameter characteristics and electrical parameter characteristics in the light signal data, compare the light signal parameter characteristics and the electrical parameter characteristics with preset reference values, and obtain a performance state judgment result of the blood oxygen probe;

[0071] The performance state judgment result of the blood oxygen probe is presented on the display screen of the monitoring device. After the performance state judgment result of the blood oxygen probe is associated with the identification of the blood oxygen probe, the performance state judgment result is uploaded to an external system through the network interface of the monitoring device;

[0072] After the evaluation process is completed, the monitoring device automatically exits the probe evaluation mode and returns to the normal standby or patient monitoring mode.

[0073] The signal characteristics of the blood oxygen probe interface refer to detecting electrical signals or physical connection states on the blood oxygen probe connection interface by the monitoring device. It can be achieved by detecting voltage, current, impedance changes of specific pins or identifying handshake signals of the probe built-in chip, such as detecting whether a preset voltage level exists on the interface, detecting the resistance value between the interface pins, or reading the probe information through the communication protocol. The main purpose is to judge whether the blood oxygen probe is correctly connected and in an evaluatable state, and to provide a basis for starting the evaluation process.

[0074] The preset test sequence refers to a specific timing and parameter combination for driving the blood oxygen probe LED to emit light in the probe evaluation mode. The preset test sequence can be achieved by setting the driving current, pulse width, frequency and duration of different wavelength LEDs, for example, first driving the red light LED to emit light in a specific pulse mode, and then driving the infrared light LED to emit light in another pulse mode. The main purpose is to simulate the light-emitting state of the probe in actual work, and to provide standardized input for collecting light signal data.

[0075] The blood oxygen module is provided in the monitoring device, and includes an LED driving circuit, a photodetector and a transmission circuit. The connection relationship and specific structure of the LED driving circuit, the photodetector and the transmission circuit are prior art, and will not be described in detail here.

[0076] Specifically, the method first detects the signal characteristics of the blood oxygen probe interface to determine the probe connection state. When the detected signal characteristics meet the preset conditions, the monitoring device is triggered to enter the probe evaluation mode. In the probe evaluation mode, the monitoring device controls the LED driving circuit of the built-in blood oxygen module to drive the LED of the blood oxygen probe to emit light according to the preset test sequence, and simultaneously collects the light signal data received by the blood oxygen probe by using the photodetector of the blood oxygen module. In addition, the monitoring device also sends a test electrical signal to the probe by using the transmission circuit of the blood oxygen module, and receives the signal returned by the probe to measure the electrical parameters of the cable loop. The collected light signal data and measured electrical parameters are then input into the signal processing logic of the monitoring device. The logic extracts light signal parameter characteristics from the light signal data and electrical parameter characteristics from the electrical parameters. These extracted characteristics are compared with the preset reference values. According to the comparison result, the monitoring device obtains a judgment result about the performance state of the blood oxygen probe. The judgment result is then presented to the user on the display screen of the monitoring device. At the same time, the performance state judgment result is associated with the identification information of the blood oxygen probe, and is uploaded to an external system through the network interface of the monitoring device for centralized management and traceability. After the entire evaluation process is completed, the monitoring device automatically exits the probe evaluation mode and returns to the normal standby or patient monitoring mode, ensuring that the normal functions of the device are not affected.

[0077] By the above scheme, the present application realizes rapid performance evaluation of the blood oxygen probe on the existing physiological parameter monitoring device, without the need to send the probe to a special detection department, significantly reducing the evaluation time and logistics cost. The present scheme fully utilizes the existing blood oxygen module hardware and processing capacity of the monitoring device, avoids the investment of additional special test equipment, and reduces the implementation cost. Through standardized test sequence and parameter comparison, the evaluation result is objective and reliable. The evaluation result is associated with the probe identifier and uploaded to an external system, providing data support for blood oxygen probe asset management, maintenance plan formulation and performance traceability, improving the efficiency and refinement level of probe management. The evaluation process is carried out in an independent mode, and after completion, the normal function is automatically restored, ensuring the clinical usability and safety of the device.

[0078] In some embodiments, according to the collected light signal data and the measured electrical parameters, the signal processing logic of the monitoring device is used to extract the light signal parameter features and the electrical parameter features from the light signal data, compare the light signal parameter features and the electrical parameter features with the preset reference values, and obtain the performance state judgment result of the blood oxygen probe. The step includes:

[0079] S21, obtaining a preset probe aging model, the probe aging model being used to represent the mapping relationship between the use time of the blood oxygen probe and the drift amount of the light signal parameter feature and the drift amount of the electrical parameter feature, the probe aging model being obtained by statistical analysis on historical blood oxygen probe performance data;

[0080] S22, according to the identifier of the blood oxygen probe, reading the use time of the blood oxygen probe from the blood oxygen probe interface, and based on the probe aging model, obtaining the light signal parameter feature drift amount and the electrical parameter feature drift amount corresponding to the use time of the blood oxygen probe;

[0081] S23, correcting the preset reference values according to the light signal parameter feature drift amount and the electrical parameter feature drift amount, to obtain the corrected light signal parameter feature reference values and the corrected electrical parameter feature reference values, and the correction mode is to subtract the corresponding drift amount from the preset reference values;

[0082] S24, comparing the light signal parameter feature with the corrected light signal parameter feature reference value to obtain the light signal performance state judgment result, and comparing the electrical parameter feature with the corrected electrical parameter feature reference value to obtain the electrical performance state judgment result, and the comparison mode is to judge whether the light signal parameter feature and the electrical parameter feature are within the corresponding corrected reference value range;

[0083] S25, obtaining the comprehensive performance state judgment result of the blood oxygen probe according to the light signal performance state judgment result and the electrical performance state judgment result, the comprehensive performance state judgment result including three states of normal, aging and damage.

[0084] The light signal parameter characteristic drift amount and the electrical parameter characteristic drift amount refer to the deviation or attenuation of the light signal parameter characteristic and the electrical parameter characteristic of the blood oxygen probe relative to the preset reference value under the full new state of the blood oxygen probe at a certain use time. The preset reference value refers to the ideal or benchmark value or range that the light signal parameter characteristic and the electrical parameter characteristic of the blood oxygen probe should meet under the full new or normal working state.

[0085] The present scheme improves the performance judgment method of directly using a fixed preset reference value in view of the problem that the performance of the blood oxygen probe will drift with the use time. The working principle is that a preset probe aging model is first obtained, which is established by statistical analysis of a large amount of historical probe data and can quantify the relationship between the use time and the performance drift of the probe. Then, the actual use time of the blood oxygen probe to be evaluated is obtained. Based on the use time, the light signal parameter characteristic drift amount and the electrical parameter characteristic drift amount that the current probe is expected to occur are calculated using the probe aging model. Then, the original fixed preset reference value is corrected using these calculated drift amounts to obtain a corrected reference value considering the current aging degree of the probe. Subsequently, the actually collected light signal parameter characteristic and electrical parameter characteristic are compared with the corrected reference values to determine whether the actual performance is still within the normal range considering the aging factor, so as to obtain the judgment results of the light signal performance and the electrical performance respectively. Finally, according to the two independent judgment results, the overall performance state of the blood oxygen probe is comprehensively determined, and is subdivided into states such as normal, aging or damage. By introducing the aging model and dynamically correcting the reference value, the present scheme makes the performance evaluation more close to the actual state of the probe, can effectively distinguish between normal aging attenuation and abnormal performance failure, thereby improving the accuracy and guidance of the evaluation. Therefore, more reliable probe maintenance and replacement decision basis can be provided for medical institutions, avoiding unnecessary probe scrapping or measurement inaccuracy caused by probe performance degradation.

[0086] In some embodiments, the probe aging model is obtained by the following statistical analysis method:

[0087] S211, collecting light signal parameter characteristic data and electrical parameter characteristic data of a plurality of historical blood oxygen probes at different use times, and recording the corresponding use times;

[0088] S212, preprocessing the collected light signal parameter characteristic data and electrical parameter characteristic data, the preprocessing including data cleaning, outlier rejection and normalization processing, to obtain standardized light signal parameter characteristic data and electrical parameter characteristic data;

[0089] S213, calculating the light signal parameter characteristic drift amount and the electrical parameter characteristic drift amount according to the standardized light signal parameter characteristic data and electrical parameter characteristic data;

[0090] S214, using regression analysis method, taking the use time of the blood oxygen probe as the independent variable, and taking the light signal parameter feature drift and the electrical parameter feature drift as the dependent variable, a probe aging model is established, the probe aging model is a linear regression model, and the probe aging model parameters are estimated by least square method;

[0091] S215, using cross-validation method, the root mean square error of the probe aging model is calculated, and it is judged whether the root mean square error is less than a preset threshold, if yes, it is confirmed that the probe aging model is effective.

[0092] The establishment method of the probe aging model ensures that the established model can accurately reflect the change rule of the blood oxygen probe performance with the use time through the systematic data collection, preprocessing, drift calculation, model establishment and model verification process. Specifically, first, a large amount of historical probe data at different use time points is collected to obtain basic information covering the performance change of the probe throughout its life cycle. Then, the original data is strictly preprocessed, including cleaning, outlier rejection and normalization, which greatly improves the data quality and usability, and eliminates the influence of noise and dimension difference on subsequent analysis. On this basis, the drift of the performance parameters is calculated, and the abstract performance change is converted into a quantifiable index. Then, using regression analysis method, taking the use time as the independent variable and the calculated drift as the dependent variable, a mathematical model capable of predicting performance drift is established, especially using linear regression model and estimating parameters by least square method, which is an efficient and easy-to-implement modeling method. Finally, the model is evaluated by cross-validation and root mean square error, and a preset threshold is set for effectiveness judgment to ensure that only the model with sufficient prediction accuracy is adopted. This series of steps are closely linked and work together to make the established probe aging model have high accuracy and reliability, which can more accurately represent the mapping relationship between the use time of the blood oxygen probe and the performance drift. The accurate model is used to correct the preset reference value, which can more effectively compensate for the performance degradation caused by probe aging, thereby significantly improving the accuracy of blood oxygen probe performance evaluation and avoiding false positives or false negatives caused by inaccurate models.

[0093] In some embodiments, according to the identification of the blood oxygen probe, the use time of the blood oxygen probe is read from the blood oxygen probe interface, and based on the probe aging model, the light signal parameter feature drift and the electrical parameter feature drift corresponding to the use time of the blood oxygen probe are obtained, the step comprising:

[0094] S221, it is judged whether the blood oxygen probe interface supports reading the use time, if yes, S222 is executed, otherwise, S223 is executed;

[0095] S222, if the blood oxygen probe interface supports reading the use time, read the use time data from the blood oxygen probe interface to obtain the actual use time of the blood oxygen probe, and then execute S224;

[0096] S223, if the blood oxygen probe interface does not support reading the use time, establish a use time input interface for receiving manually input use time data, and use the manually input use time data as the actual use time of the blood oxygen probe, and then execute S224;

[0097] S224, according to the actual use time of the blood oxygen probe obtained in S222 or S223, substitute it into the probe aging model to obtain the optical signal parameter characteristic drift and the electrical parameter characteristic drift corresponding to the use time of the blood oxygen probe.

[0098] Specifically, step S221 judges whether the blood oxygen probe interface supports reading the use time, which is the key first step to solve the problem. It identifies the differences in providing use time data by different blood oxygen probe interfaces, and designs the subsequent branch process based on this difference, ensuring the universality of the scheme. If the interface supports reading, step S222 is executed to directly read the use time data from the blood oxygen probe interface to obtain the actual use time of the blood oxygen probe. This step utilizes the existing function of the interface, which can efficiently and accurately obtain the use time, avoiding errors that may be caused by manual intervention. If the interface does not support reading, step S223 is executed to establish a use time input interface for receiving manually input use time data, and use the manually input data as the actual use time of the blood oxygen probe. This step provides a backup data acquisition approach, which can obtain use time information through manual means even in the case of limited interface function, ensuring the continuity of the evaluation process. Finally, step S224 substitutes the actual use time of the blood oxygen probe obtained in S222 or S223 into the probe aging model to obtain the optical signal parameter characteristic drift and the electrical parameter characteristic drift corresponding to the use time. Through the above steps, the present scheme effectively solves the problem of obtaining the use time under different blood oxygen probe interface compatibility, improves the reliability and applicability of performance evaluation based on the aging model. The present application solves the problem of different blood oxygen probe interface compatibility differences leading to the inability to obtain the probe use time, ensuring that the actual use time data required for probe aging model calculation can be obtained in various situations. This enables the performance evaluation method based on the probe aging model to be reliably applied to different types of blood oxygen probes, improves the accuracy of the evaluation results, and expands the applicability of the blood oxygen probe performance evaluation method.

[0099] For example, when the blood oxygen probe is connected to the monitoring device, the device first attempts to communicate with the probe interface through the communication protocol, reads the information in the internal storage chip of the probe, and determines whether there is a specific register or data field recording the use time. If the reading is successful and valid use time data is identified, the data is taken as the actual use time. If the reading attempt fails, or the internal database is queried according to the probe identification and it is found that the probe interface of this model does not support direct reading of the use time, a dialog box is popped up on the touch screen of the monitoring device, prompting the user to input the cumulative use time of the probe. The user inputs the time data through the screen keyboard and confirms. Whether the use time is obtained through the interface reading or manual input, it is substituted into the pre-established probe aging model to calculate the expected drift of the optical signal parameters and electrical parameters corresponding to the current use time.

[0100] In some embodiments, the optical signal parameter feature is compared with the corrected optical signal parameter feature reference value to obtain an optical signal performance state judgment result, and the electrical parameter feature is compared with the corrected electrical parameter feature reference value to obtain an electrical performance state judgment result. The comparison manner is a step of judging whether the optical signal parameter feature and the electrical parameter feature are within the range of the corresponding corrected reference values, which includes:

[0101] S241, according to the corrected optical signal parameter feature reference value and the corrected electrical parameter feature reference value, calculating the upper limit threshold and the lower limit threshold of the optical signal parameter feature, and the upper limit threshold and the lower limit threshold of the electrical parameter feature, the calculation manner is that the corrected optical signal parameter feature reference value and the corrected electrical parameter feature reference value are multiplied by (1+ preset proportion) to obtain the upper limit threshold, and multiplied by (1-preset proportion) to obtain the lower limit threshold;

[0102] S242, according to the upper limit threshold and the lower limit threshold calculated in S241, judging whether the optical signal parameter feature is greater than or equal to the lower limit threshold of the optical signal parameter feature and less than or equal to the upper limit threshold of the optical signal parameter feature, if yes, determining that the optical signal performance state is normal, otherwise, determining that the optical signal performance state is abnormal;

[0103] S243, according to the upper limit threshold and the lower limit threshold calculated in S241, judging whether the electrical parameter feature is greater than or equal to the lower limit threshold of the electrical parameter feature and less than or equal to the upper limit threshold of the electrical parameter feature, if yes, determining that the electrical performance state is normal, otherwise, determining that the electrical performance state is abnormal.

[0104] Wherein, the preset proportion refers to a value set in advance, which is used to determine the tolerance range of performance judgment, which can be realized by using a fixed percentage value.

[0105] Specifically, after obtaining the light signal parameter characteristic reference value and the electrical parameter characteristic reference value corrected according to the probe use time, the scheme dynamically determines the upper limit threshold and the lower limit threshold of the light signal parameter characteristic and the electrical parameter characteristic respectively by using a preset ratio in a mathematical calculation manner through the S241 step. This calculation manner provides a specific quantitative definition for the "corrected reference value range", solving the problem of unclear range. It is because of the explicit threshold boundary that the subsequent S242 and S243 steps can perform accurate interval judgment. The S242 step compares the actually extracted light signal parameter characteristic with the upper limit threshold and the lower limit threshold of the light signal parameter characteristic calculated, judges whether it falls within the preset normal interval, and thus obtains whether the light signal performance state is normal or abnormal. Similarly, the S243 step performs the same interval judgment on the electrical parameter characteristic, and obtains the electrical performance state. This judgment logic based on the explicit threshold interval provides a specific algorithm for the judgment of the light signal and electrical performance state, solving the problem of how to judge. By comparing the actually measured parameter with the dynamic threshold range determined based on the reference value corrected according to the probe aging model, the scheme can more accurately reflect the real performance state of the blood oxygen probe at the current use time, improving the accuracy and reliability of the performance evaluation result.

[0106] In some embodiments, according to the light signal performance state judgment result and the electrical performance state judgment result, a comprehensive performance state judgment result of the blood oxygen probe is obtained, and the step of the comprehensive performance state judgment result including three states of normal, aging and damage includes:

[0107] S251, obtaining the light signal performance state judgment result and the electrical performance state judgment result, if the light signal performance state and the electrical performance state are both normal, determining that the comprehensive performance state of the blood oxygen probe is normal, and the process ends;

[0108] S252, if the light signal performance state is abnormal and the electrical performance state is normal, determining that the comprehensive performance state of the blood oxygen probe is aging, generating a maintenance suggestion of replacing the light signal device, and the process ends;

[0109] S253, if the light signal performance state is normal and the electrical performance state is abnormal, determining that the comprehensive performance state of the blood oxygen probe is aging, generating a maintenance suggestion of replacing the cable, and the process ends;

[0110] S254, if the light signal performance state and the electrical performance state are both abnormal, determining that the comprehensive performance state of the blood oxygen probe is damaged, generating a suggestion of replacing the blood oxygen probe, and the process ends.

[0111] Specifically, when both the optical signal performance and the electrical performance are in normal state, the system determines that the overall performance of the probe is in normal state, indicating that the probe function is in normal working state. If the optical signal performance is in abnormal state while the electrical performance is in normal state, it is identified that the problem is concentrated in the optical part, and it is determined that the probe is in aging state, and a maintenance suggestion of replacing the optical signal device is generated, which helps to restore the probe function through local repair. Conversely, if the optical signal performance is in normal state while the electrical performance is in abnormal state, it indicates that the problem is in the cable connection or electrical transmission, and the probe is also determined to be in aging state, and a maintenance suggestion of replacing the cable is generated to repair the electrical path. Only when both the optical signal performance and the electrical performance are abnormal, it is determined that the probe has reached the preset abnormal degree, which is difficult to restore through higher cost or complex operation, and a suggestion of replacing the entire blood oxygen probe is generated. By combining the judgment results of the optical signal performance state and the electrical performance state, the type and degree of probe failure can be distinguished, avoiding general abnormal judgment, so that the comprehensive performance evaluation result conforms to the actual state. Especially when the probe is in aging state, it can further identify whether the problem is in the optical part or the electrical part, so as to generate a maintenance suggestion according to different specific conditions, such as replacing the optical signal device or replacing the cable. When the probe reaches the preset abnormal degree, it is suggested to replace the whole. This judgment and suggestion mechanism of distinguishing different situations avoids general abnormal processing, can provide different processing methods for users to maintain or replace the blood oxygen probe according to specific conditions, and improves the efficiency of probe asset management.

[0112] In some embodiments, the step of presenting the performance state judgment result of the blood oxygen probe on the display screen of the monitoring device, associating the performance state judgment result of the blood oxygen probe with the identification of the blood oxygen probe, and uploading to the external system through the network interface of the monitoring device includes:

[0113] S71, acquire the type and network configuration information of the monitoring device, judge whether the monitoring device supports wireless network connection, if yes, execute S72, otherwise, execute S73;

[0114] S72, if the monitoring device supports wireless network connection, establish a wireless network connection, associate the performance state judgment result of the blood oxygen probe with the identification of the blood oxygen probe, and then upload the data to the cloud server through the wireless network interface using the HTTPS transmission protocol, and record the timestamp, upload state and data packet size;

[0115] S73, if the monitoring device does not support wireless network connection, it is judged whether the monitoring device supports wired network connection, if it supports, a wired network connection is established, the performance state judgment result of the blood oxygen probe is associated with the identification of the blood oxygen probe, then through the wired network interface, using TCP / IP protocol, the data is uploaded to the server, and the time stamp, upload status and data packet size are recorded.

[0116] Among them, the monitoring device type and network configuration information refers to the hardware model, operating system version, installed network adapter information and current IP address, subnet mask, gateway, DNS server and other network settings of the monitoring device. The time stamp refers to a sequence of numbers representing the time of a specific event. The upload status refers to the execution result of the data upload operation, such as success or failure. The data packet size refers to the amount of data transmitted in one upload operation.

[0117] Specifically, by providing wired connection as an alternative, this scheme enhances the adaptability in different network environments, ensuring that data upload can be completed through wired mode even in the absence of wireless network coverage or unstable wireless connection. This application can adaptively select wireless or wired mode for data upload according to the actual network connection capability of the monitoring device, and use the corresponding transmission protocol, so as to ensure that the performance state judgment result of the blood oxygen probe can be reliably and safely uploaded to the external system. At the same time, the key information of the uploading process is recorded, which is helpful for subsequent data management and troubleshooting, improves the success rate and traceability of the evaluation result upload, effectively solves the problem of upload failure caused by the diversity of network environment, and improves the efficiency and reliability of probe asset management.

[0118] For example, in a specific embodiment, the monitoring device can be a patient monitor. In step S71, the system software of the monitor can read the hardware configuration information of the device, such as whether there is a built-in Wi-Fi module or an external wireless network card, and the current Ethernet interface state. If the Wi-Fi module is detected and the wireless network connection is configured, it is determined that the wireless network connection is supported. If the Wi-Fi module is not detected or the wireless connection is not configured, it is checked whether the Ethernet interface is connected and configured with a valid IP address, and if it is connected and configured, it is determined that the wired network connection is supported. In step S72, if it is determined that the wireless network connection is supported, the communication module of the monitor can call the wireless network API provided by the operating system to establish a connection with a preset SSID (specific identifier of the wireless network). Then, the performance state judgment result (such as "normal", "aging") and the probe identifier (such as serial number) of the blood oxygen probe are packaged into JSON format data, and a POST request is initiated to the preset cloud server address through the HTTPS client library to upload the JSON data. After the upload is completed, the current system time, the HTTP response code (indicating whether the upload is successful or failed) and the number of bytes of the data packet sent are recorded in the local log file of the device. In step S73, if it is determined that the wireless network connection is not supported but the wired network connection is supported, the communication module of the monitor can ensure that the Ethernet interface is in an active state. Then, the same packaged JSON data is sent through a TCP / IP socket connection to a preset server IP address and port. After the transmission is completed, the current system time, the TCP connection state (indicating whether the transmission is completed) and the number of bytes of the data packet sent are recorded in the local log file. In this way, no matter what network capabilities the monitor has, it can try to find the appropriate path to upload the evaluation results.

[0119] In some embodiments, the step of triggering the monitoring device to enter the probe evaluation mode when the signal characteristics of the blood oxygen probe interface meet the preset conditions includes:

[0120] S81, determining whether the blood oxygen probe interface is connected to the blood oxygen module, if yes, executing S82, otherwise, ending the process;

[0121] S82, if the blood oxygen probe interface is connected to the blood oxygen module, detecting the voltage value of the preset signal pin of the blood oxygen module interface, determining whether the voltage value is within the preset voltage range, if yes, executing S83, otherwise, ending the process;

[0122] S83, if the voltage value of the preset signal pin of the blood oxygen module interface is within the preset voltage range, sending a probe evaluation mode trigger instruction to the control module of the monitoring device to control the monitoring device to enter the probe evaluation mode.

[0123] Firstly, it is judged whether the blood oxygen probe interface is connected to the blood oxygen module, which is a prerequisite for subsequent evaluation. It ensures that the evaluation process can only be triggered when the probe is physically connected to the device, avoiding invalid operations in the unconnected state. On the basis of confirming that the probe has been connected, the voltage value of the preset signal pin of the blood oxygen module interface is further detected, and it is judged whether the voltage value is within the preset voltage range. By detecting the voltage value of a specific signal pin, the signal change at the hardware level can be used as a signal feature to trigger the evaluation mode. For example, the pin may exhibit a specific voltage state when the probe is connected and the device is in a specific mode (such as standby or maintenance mode). Judging whether the voltage value is within the preset voltage range provides a specific, quantifiable condition to determine whether the signal feature meets the triggering requirements. If the signal features detected in the previous step (connection state and specific pin voltage) meet the preset conditions (connected and voltage within range), a probe evaluation mode trigger instruction is sent to the control module of the monitoring device, thereby controlling the monitoring device to enter the probe evaluation mode and officially starting the probe performance evaluation process. This triggering method based on hardware signal detection avoids false triggering or starting the evaluation in an inappropriate state, improving the accuracy and reliability of the evaluation process.

[0124] In some embodiments, the expression of the linear regression model is:

[0125] Y = β0 + β1 · T + ε;

[0126] where Y is the light signal parameter feature drift or the electrical parameter feature drift, β0 is a model parameter, β1 is the regression coefficient of usage time, T is the usage time of the blood oxygen probe, and ε is an error term.

[0127] Specifically, based on the expression of the linear regression model described above, after reading the usage time of the blood oxygen probe according to its identifier, the usage time is substituted as an independent variable into the model expression. Through the model parameters and the regression coefficient of the usage time, the predicted values of the light signal parameter feature drift and the electrical parameter feature drift corresponding to the usage time can be calculated. This calculation process is directly based on explicit mathematical formulas, and the model parameters and the regression coefficient are fixed values obtained by statistical analysis of historical data (e.g., estimated using the least squares method) in advance. The calculated drift is then used to correct the preset performance reference value, thereby obtaining the corrected reference value. Comparing the light signal parameter features and electrical parameter features of the currently collected blood oxygen probe with these corrected reference values can more accurately judge the actual performance state of the probe, taking into account the natural aging effect caused by the usage time. By providing a specific mathematical expression, the mapping relationship from usage time to drift is quantified and implemented, providing an accurate mathematical basis for subsequent performance reference value correction based on the aging model, thereby improving the accuracy and reliability of the blood oxygen probe performance evaluation method.

[0128] In a second aspect, the present application provides a blood oxygen sensor performance evaluation system for evaluating the optical function and cable electrical connectivity of a blood oxygen sensor on a monitoring device, the system comprising:

[0129] The trigger module 21 is used to obtain the signal characteristics of the blood oxygen sensor interface and trigger the monitoring device to enter the probe evaluation mode when the signal characteristics meet the preset conditions;

[0130] The signal acquisition module 22 is used in the probe evaluation mode to control the LED drive circuit of the blood oxygen module using the monitoring device, drive the LED of the blood oxygen sensor to emit light signals according to a preset test sequence, use the photoelectric detector of the blood oxygen module to collect the light signal data received by the blood oxygen sensor, use the transmission circuit of the blood oxygen module to send test electrical signals, use the monitoring device to receive the return signal, and measure the electrical parameters of the cable loop;

[0131] The judgment module 23 is configured to extract optical signal parameter characteristics and electrical parameter characteristics from the optical signal data based on the collected optical signal data and the measured electrical parameters using the signal processing logic of the monitoring device, compare the optical signal parameter characteristics and electrical parameter characteristics with preset reference values, and obtain a performance status judgment result of the blood oxygen sensor;

[0132] The result presentation and upload module 24 is used to present the performance status judgment result of the blood oxygen sensor on the display screen of the monitoring device, associate the performance status judgment result of the blood oxygen sensor with the identification of the blood oxygen sensor, and upload it to the external system through the network interface of the monitoring device;

[0133] The mode exit module 25 is used to automatically exit the probe evaluation mode and return to the normal standby mode or patient monitoring mode after the evaluation process is completed.

[0134] Specifically, the blood oxygen probe performance evaluation system builds a complete blood oxygen probe performance evaluation process on the existing monitoring device through the cooperative work of the above-mentioned modules. The start of the evaluation process is responsible by the trigger module, which continuously monitors the signal characteristics of the blood oxygen probe interface. Once the signal state meeting the preset condition is detected, for example, the probe is correctly connected and is in the state of being evaluated, the trigger module 21 will send an instruction to the main control unit of the monitoring device, so that the monitoring device enters a special probe evaluation mode. After entering the evaluation mode, the signal acquisition module 22 starts to work. It uses the existing blood oxygen module hardware in the monitoring device to accurately control the LED driving circuit to drive the LED of the blood oxygen probe according to the preset test sequence, and at the same time, it collects the light signal data received by the probe through the photodetector. In addition, the signal acquisition module 22 also uses the transmission circuit of the blood oxygen module to send test electrical signals, and measures the electrical parameters of the cable loop of the blood oxygen probe by receiving the return signals. These collected light signal data and electrical parameters are then transmitted to the judgment module 23. The judgment module 23 uses the signal processing logic built-in the monitoring device to process the original data and extract the key parameter features that can reflect the optical performance of the probe and the electrical connectivity of the cable. Then, the judgment module 23 compares these extracted parameter features with the pre-set reference values, so as to obtain the judgment result about the performance state of the blood oxygen probe. After the judgment result is generated, the result presentation and uploading module 24 is responsible for displaying it on the display screen of the monitoring device for the user to see. At the same time, in order to realize the management and traceability of the probe assets, the result presentation and uploading module 24 will associate the judgment result with the identification information of the blood oxygen probe, and upload it to the external system through the network interface of the monitoring device. After the completion of the entire evaluation process, the mode exit module 25 will automatically trigger, so that the monitoring device exits the probe evaluation mode and returns to the normal standby or patient monitoring mode, releasing the resources occupied by the evaluation mode. By integrating the evaluation function into the monitoring device, the department-level rapid check of the probe performance is realized, which overcomes the limitations of the traditional centralized detection process, such as high logistics and time cost, long probe turnover time, etc., improves the efficiency and convenience of probe maintenance, and reduces the evaluation cost without relying on expensive special detection equipment.

[0135] The blood oxygen probe performance evaluation system provided in this embodiment is used to perform the steps in the blood oxygen probe performance evaluation method provided in the first aspect, and the principle of the blood oxygen probe performance evaluation system provided in this embodiment is the same as that of the blood oxygen probe performance evaluation method provided in the first aspect, which will not be discussed in detail here.

[0136] In this document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any such actual relationship or order between such entities or actions.

[0137] The above merely provides an example of the present application, and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A blood oxygen sensor performance evaluation method for evaluating the optical function and cable electrical connectivity of a blood oxygen sensor on a monitoring device, characterized in that: The steps of the method include: Obtain the signal characteristics of the blood oxygen sensor interface. When the signal characteristics meet the preset conditions, trigger the monitoring device to enter the probe evaluation mode; In probe evaluation mode, the monitoring device controls the LED driver circuit of the blood oxygen module to drive the LED of the blood oxygen sensor to emit light signals according to a preset test sequence. The photoelectric detector of the blood oxygen module collects the light signal data received by the blood oxygen sensor. The transmission circuit of the blood oxygen module sends a test electrical signal. The monitoring device receives the return signal and measures the electrical parameters of the cable loop. Based on the collected optical signal data and measured electrical parameters, the signal processing logic of the monitoring device is used to extract the optical signal parameter characteristics and electrical parameter characteristics from the optical signal data, and the optical signal parameter characteristics and electrical parameter characteristics are compared with preset reference values ​​to obtain the performance status judgment result of the blood oxygen sensor; The performance status judgment result of the blood oxygen sensor is displayed on the display screen of the monitoring device, and after associating the performance status judgment result of the blood oxygen sensor with the identification of the blood oxygen sensor, it is uploaded to the external system through the network interface of the monitoring device; After the evaluation process is completed, the monitoring device automatically exits the probe evaluation mode and returns to normal standby or patient monitoring mode.

2. A blood oxygen sensor performance evaluation method according to claim 1, characterized in that: The steps of extracting optical signal parameter characteristics and electrical parameter characteristics from the optical signal data using the signal processing logic of the monitoring device based on the collected optical signal data and the measured electrical parameters, and comparing the optical signal parameter characteristics and electrical parameter characteristics with preset reference values ​​to obtain a performance status judgment result of the blood oxygen sensor include: S21. Obtain a preset probe aging model. The probe aging model is used to characterize the mapping relationship between the usage time of the blood oxygen sensor and the characteristic drift of the optical signal parameter and the characteristic drift of the electrical parameter. The probe aging model is obtained by statistically analyzing historical blood oxygen sensor performance data. S22. Read the usage time of the blood oxygen sensor from the blood oxygen sensor interface according to the identification of the blood oxygen sensor, and obtain the optical signal parameter characteristic drift and electrical parameter characteristic drift corresponding to the usage time of the blood oxygen sensor based on the sensor aging model; S23. Correcting a preset reference value based on the optical signal parameter characteristic drift and the electrical parameter characteristic drift to obtain a corrected optical signal parameter characteristic reference value and a corrected electrical parameter characteristic reference value, wherein the correction is performed by subtracting the corresponding drift from the preset reference value. S24. Compare the optical signal parameter characteristics with the corrected optical signal parameter characteristic reference value to obtain an optical signal performance status judgment result, and compare the electrical parameter characteristics with the corrected electrical parameter characteristic reference value to obtain an electrical performance status judgment result, wherein the comparison method is to determine whether the optical signal parameter characteristics and the electrical parameter characteristics are within the corresponding corrected reference value range; S25. Obtain a comprehensive performance status judgment result of the blood oxygen sensor based on the optical signal performance status judgment result and the electrical performance status judgment result. The comprehensive performance status judgment result includes three states: normal, aging, and damaged.

3. The blood oxygen sensor performance evaluation method according to claim 2, characterized in that: The probe aging model is obtained by the following statistical analysis: S211. Collect optical signal parameter characteristic data and electrical parameter characteristic data of multiple historical blood oxygen sensors at different usage times, and record the corresponding usage time; S212, preprocessing the collected optical signal parameter characteristic data and electrical parameter characteristic data, wherein the preprocessing includes data cleaning, outlier removal, and normalization to obtain standardized optical signal parameter characteristic data and electrical parameter characteristic data; S213. Calculating an optical signal parameter characteristic drift and an electrical parameter characteristic drift based on the standardized optical signal parameter characteristic data and the electrical parameter characteristic data; S214. Using the usage time of the blood oxygen sensor as the independent variable and the characteristic drift of the optical signal parameter and the characteristic drift of the electrical parameter as the dependent variables, a regression analysis method is used to establish a probe aging model. The probe aging model is a linear regression model, and the parameters of the probe aging model are estimated using the least squares method. S215. Calculate the root mean square error of the probe aging model using a cross-validation method, and determine whether the root mean square error is less than a preset threshold. If so, confirm that the probe aging model is valid.

4. The blood oxygen sensor performance evaluation method according to claim 2, characterized in that: The steps of reading the usage time of the blood oxygen sensor from the blood oxygen sensor interface according to the identification of the blood oxygen sensor, and obtaining the optical signal parameter characteristic drift and the electrical parameter characteristic drift corresponding to the usage time of the blood oxygen sensor based on the probe aging model include: S221. Determine whether the blood oxygen sensor interface supports reading usage time. If so, execute S222; otherwise, execute S223. S222. If the blood oxygen sensor interface supports reading usage time, read usage time data from the blood oxygen sensor interface to obtain actual usage time of the blood oxygen sensor, and then execute S224. S223. If the blood oxygen sensor interface does not support reading usage time, establish a usage time input interface for receiving manually input usage time data, and use the manually input usage time data as the actual usage time of the blood oxygen sensor, and then execute S224. S224: Substitute the actual usage time of the blood oxygen sensor obtained in S222 or S223 into the probe aging model to obtain the optical signal parameter characteristic drift and electrical parameter characteristic drift corresponding to the usage time of the blood oxygen sensor.

5. The blood oxygen sensor performance evaluation method according to claim 2, characterized in that: The steps of comparing the optical signal parameter characteristics with the corrected optical signal parameter characteristic reference value to obtain an optical signal performance status judgment result, and comparing the electrical parameter characteristics with the corrected electrical parameter characteristic reference value to obtain an electrical performance status judgment result, wherein the comparison method is to determine whether the optical signal parameter characteristics and the electrical parameter characteristics are within the corresponding corrected reference value range, include: S241. Calculate, based on the corrected optical signal parameter characteristic reference value and the corrected electrical parameter characteristic reference value, an upper threshold and a lower threshold of the optical signal parameter characteristic, as well as an upper threshold and a lower threshold of the electrical parameter characteristic, by multiplying the corrected optical signal parameter characteristic reference value and the corrected electrical parameter characteristic reference value by (1+preset ratio) to obtain the upper threshold and multiplying them by (1-preset ratio) to obtain the lower threshold. S242. Determine, based on the upper and lower thresholds calculated in S241, whether the optical signal parameter characteristic is greater than or equal to the lower threshold of the optical signal parameter characteristic and less than or equal to the upper threshold of the optical signal parameter characteristic; if so, determine that the optical signal performance status is normal; otherwise, determine that the optical signal performance status is abnormal; S243. According to the upper and lower threshold values ​​calculated in S241, determine whether the electrical parameter characteristic is greater than or equal to the lower threshold value of the electrical parameter characteristic and less than or equal to the upper threshold value of the electrical parameter characteristic. If so, determine that the electrical performance state is normal; otherwise, determine that the electrical performance state is abnormal.

6. The blood oxygen sensor performance evaluation method according to claim 5, characterized in that: The step of obtaining a comprehensive performance status judgment result of the blood oxygen sensor based on the optical signal performance status judgment result and the electrical performance status judgment result, wherein the comprehensive performance status judgment result includes three states: normal, aging, and damaged, comprises: S251. Obtain the optical signal performance status judgment result and the electrical performance status judgment result. If both the optical signal performance status and the electrical performance status are normal, the overall performance status of the blood oxygen sensor is determined to be normal, and the process ends. S252: If the optical signal performance status is abnormal and the electrical performance status is normal, the comprehensive performance status of the blood oxygen sensor is determined to be aging, and a maintenance suggestion is generated to replace the optical signal component. The process ends. S253: If the optical signal performance status is normal and the electrical performance status is abnormal, the comprehensive performance status of the blood oxygen sensor is determined to be aging, and a maintenance suggestion for replacing the cable is generated, and the process ends; S254: If both the optical signal performance status and the electrical performance status are abnormal, the comprehensive performance status of the blood oxygen sensor is determined to be damaged, and a suggestion to scrap and replace the blood oxygen sensor is generated, and the process ends.

7. The blood oxygen sensor performance evaluation method according to claim 1, characterized in that: The steps of presenting the performance status judgment result of the blood oxygen sensor on the display screen of the monitoring device, associating the performance status judgment result of the blood oxygen sensor with the identifier of the blood oxygen sensor, and uploading the result to the external system through the network interface of the monitoring device include: S71. Obtain the monitoring device type and network configuration information, and determine whether the monitoring device supports wireless network connection. If so, execute 72; otherwise, execute S73. S72. If the monitoring device supports wireless network connection, establish a wireless network connection, associate the performance status determination result of the blood oxygen sensor with the identification of the blood oxygen sensor, and upload the data to the cloud server through the wireless network interface using the HTTPS transmission protocol, and record the timestamp, upload status, and data packet size. S73. If the monitoring device does not support wireless network connection, determine whether the monitoring device supports wired network connection. If it does, establish a wired network connection, associate the performance status judgment result of the blood oxygen sensor with the identification of the blood oxygen sensor, and upload the data to the server through the wired network interface using the TCP / IP protocol, and record the timestamp, upload status, and data packet size.

8. The blood oxygen sensor performance evaluation method according to claim 1, characterized in that: The step of obtaining the signal characteristics of the blood oxygen sensor interface and triggering the monitoring device to enter the probe evaluation mode when the signal characteristics meet the preset conditions includes: S81: Determine whether the blood oxygen sensor interface is connected to the blood oxygen module. If so, execute S82; otherwise, end the process. S82: If the blood oxygen sensor interface is connected to the blood oxygen module, the voltage value of the preset signal pin of the blood oxygen module interface is detected to determine whether the voltage value is within the preset voltage range. If so, execute S83; otherwise, end the process; S83. If the voltage value of the preset signal pin of the blood oxygen module interface is within the preset voltage range, a probe evaluation mode trigger instruction is sent to the control module of the monitoring device to control the monitoring device to enter the probe evaluation mode.

9. The blood oxygen sensor performance evaluation method according to claim 3, characterized in that: The linear regression model is expressed as: Y=β0+β1·T+ε; Where Y is the characteristic drift of the optical signal parameter or the electrical parameter, β0 is the model parameter, β1 is the regression coefficient of usage time, T is the usage time of the blood oxygen sensor, and ε is the error term.

10. A blood oxygen sensor performance evaluation system for evaluating the optical function and cable electrical connectivity of a blood oxygen sensor on a monitoring device, the system comprising: The trigger module is used to obtain the signal characteristics of the blood oxygen sensor interface and trigger the monitoring device to enter the probe evaluation mode when the signal characteristics meet the preset conditions; The signal acquisition module is used in the probe evaluation mode to control the LED drive circuit of the blood oxygen module using the monitoring equipment, drive the LED of the blood oxygen sensor to emit light signals according to the preset test sequence, use the photoelectric detector of the blood oxygen module to collect the light signal data received by the blood oxygen sensor, use the transmission circuit of the blood oxygen module to send test electrical signals, use the monitoring equipment to receive the return signal, and measure the electrical parameters of the cable loop; A judgment module is used to extract optical signal parameter characteristics and electrical parameter characteristics from the optical signal data based on the collected optical signal data and the measured electrical parameters using the signal processing logic of the monitoring device, compare the optical signal parameter characteristics and electrical parameter characteristics with preset reference values, and obtain a performance status judgment result of the blood oxygen sensor; The result presentation and upload module is used to present the performance status judgment result of the blood oxygen sensor on the display screen of the monitoring device, associate the performance status judgment result of the blood oxygen sensor with the identification of the blood oxygen sensor, and upload it to the external system through the network interface of the monitoring device; The mode exit module is used to automatically exit the probe evaluation mode and return to the normal standby or patient monitoring mode after the evaluation process is completed.

Images