A Method and System for Remote Information Transmission of Medical Devices

Abstract

The present invention discloses a method and system for remote information transmission of medical devices, which belongs to the technical field of adaptive adjustment of remote information transmission. It includes medical devices collecting and transmitting remote information data of patients, including heart rate and blood pressure, and collecting the data volume, speed, time, time difference, successfully received and decoded volume, and error volume generated during the current transmission period from the sending end to the receiving end. Based on the data volume, speed, time, time difference, successfully received and decoded volume, and error volume collected during the current transmission period, calculate the data transmission efficiency C, data transmission quality Z, and new data transmission speed DL new , based on the adaptive update speed, and continuously automatically applying the update speed calculated in the current transmission period to the medical device for transmission adjustment. The present invention realizes real-time adjustment of the transmission speed and also improves the transmission efficiency and quality.

Description

Technical Field

[0001] The present invention relates to the technical field of remote information transmission adaptation, and particularly to a method and system for remote information transmission of medical devices. Background Art

[0002] With the continuous progress of medical technology and the increasing demand for telemedicine, methods and systems for remote information transmission of medical devices have gradually become an important part of the medical field. Traditional data transmission methods for medical devices often have problems such as slow transmission speed and unstable transmission quality, and thus cannot meet the requirements of modern medicine for real-time, accurate, and reliable data transmission. Therefore, it is particularly important to develop a method and system for remote information transmission of medical devices that can adjust the transmission speed in real time.

[0003] However, the inventor believes that the prior art often has the following defects: First, existing remote information transmission systems for medical devices often use a fixed transmission speed for data transmission, and cannot be dynamically adjusted according to factors such as network conditions, data volume, and receiver capabilities, resulting in low transmission efficiency and resource waste. Moreover, existing systems lack an effective dynamic adjustment mechanism and cannot adaptively adjust transmission parameters according to real-time transmission conditions to optimize transmission efficiency and quality. Due to network fluctuations and device performance factors, existing transmission systems often have problems with unstable transmission quality, which affects the accuracy and reliability of telemedicine. In addition, existing systems lack a mechanism for comprehensively evaluating transmission efficiency and quality, as well as a feedback adjustment mechanism based on the evaluation results, and cannot achieve the purpose of continuously improving transmission performance. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that the prior art has the disadvantages of fixed transmission speed, lack of dynamic adjustment mechanism and comprehensive evaluation and feedback, and unstable transmission quality. For this reason, we propose a method and system for remote information transmission of medical devices.

[0005] One of the technical solutions is mainly: A method for remote information transmission of medical devices, comprising the following steps:

[0006] Step 1: The medical device collects and transmits remote information data of the patient, including heart rate and blood pressure, and collects the data volume, speed, time, time difference, successfully received and decoded volume, and error volume generated during the current transmission period from the sender to the receiver.

[0007] Step 2: Based on the data volume, speed, time, time difference, successfully received and decoded volume, and error volume collected during the current transmission period, calculate the data transmission efficiency C, data transmission quality Z, and new data transmission speed DL during the current transmission period new ;

[0008] Step 3: Based on the adaptive update speed, continuously and automatically apply the update speed calculated during the current transmission period to the medical device for transmission adjustment.

[0009] Preferably, the calculation formula for the transmission efficiency during the current transmission period is as follows:

[0010] ;

[0011] Where:

[0012] C is the data transmission efficiency;

[0013] ZL is the actual amount of data transmitted, and ZL represents the total amount of data actually transmitted during the current transmission period;

[0014] ZT is the total transmission time, and ZT represents the amount of time elapsed from the start to the end of data transmission during the current transmission period, with the unit of milliseconds;

[0015] DL is the data transmission speed, and DL represents the average rate of transmission per unit time during the current transmission period;

[0016] DL max is the maximum data transmission speed, and DL max represents the maximum rate of transmission that has occurred per unit time during the current transmission period;

[0017] JG is the data reception success rate, and JG reflects the ratio of the amount of data successfully received and decoded at the receiving end to the amount of data sent by the sending end during the current transmission period;

[0018] JG max is the maximum data reception success rate, and JG max reflects the maximum ratio of the amount of data successfully received and decoded at the receiving end to the amount of data sent by the sending end during the past transmission periods;

[0019] After calculating the basis for reflecting the basic transmission "quantity", multiplying it by the basis for calculating the basic transmission "quality" to obtain the data transmission efficiency C comprehensively calculated from the basic transmission "quantity" and "quality".

[0020] Preferably, the calculation formula for the transmission quality during the current transmission period is as follows:

[0021] ;

[0022] Where:

[0023] Z is the data transmission quality;

[0024] CL is the amount of data transmission errors, and CL represents the total amount of error data that occurs during the transmission process in the current transmission period;

[0025] YT is the data transmission delay difference, and YT represents the time difference experienced by the data from being sent at the sending end to being received at the receiving end during the current transmission period;

[0026] in the square root processing is used to balance the relationship between the amount of errors and the transmission speed;

[0027] It reflects the real-time nature of the transmission during the current transmission period.

[0028] Preferably, the calculation formula for the adaptive update speed within the current transmission period is as follows:

[0029] ;

[0030] Where:

[0031] DL new is the new data transmission speed;

[0032] DL last time is the data transmission speed in the previous transmission period;

[0033] K is an adjustment factor, and K is used to adjust the growth rate of the data transmission speed DL according to the data reception success rate JG;

[0034] in the square root processing is used to slow down its descent speed and avoid the data transmission speed DL from decreasing too quickly;

[0035] is used as a reduction term to correct the overly rapid increase in speed caused by unsuccessful reception and affecting the transmission quality.

[0036] Preferably, based on the result of the new data transmission speed DL new and taking the new data transmission speed DL new as the speed for transmission from the sending end to the receiving end within the next transmission period of the medical device for adjustment and execution, and directly replacing the data transmission speed DL within the next transmission period, and sequentially calculating the data transmission efficiency C, data transmission quality Z, and adaptive update speed within the next transmission period.

[0037] Preferably, the calculation formula for the adjustment factor K is as follows:

[0038] K = JG / JG 0 - 1;

[0039] Where:

[0040] JG 0 is the target reception success rate, that is, the reception success rate level set manually;

[0041] When the data reception success rate JG is higher than the target reception success rate JG 0 the adjustment factor K is positive, indicating that the data transmission speed DL should be increased;

[0042] When the data reception success rate JG is lower than the target reception success rate JG 0 the adjustment factor K is negative, indicating that the data transmission speed DL should be decreased.

[0043] Another technical solution mainly is: a remote information transmission system for medical devices, including a data acquisition module, a remote information transmission calculation and adjustment module, and an adaptive adjustment execution module;

[0044] Specifically as follows:

[0045] The data acquisition module is used to collect the data volume, speed, time, time difference, successfully received and decoded volume, and error volume generated during the current transmission period from the sending end to the receiving end;

[0046] The remote information transmission calculation and adjustment module is used to calculate the data transmission efficiency C, data transmission quality Z, and new data transmission speed DL during the current transmission period new ;

[0047] The adaptive adjustment execution module is used to perform adaptive update speed adjustment on the transmission of medical devices.

[0048] Preferably, the devices used by the data acquisition module include sensors, electrocardiographs, and sphygmomanometers;

[0049] The devices used by the remote information transmission calculation and adjustment module include servers and embedded systems;

[0050] The devices used by the adaptive adjustment execution module include wireless network devices and execution devices.

[0051] The technical effects and advantages of the present invention:

[0052] In the present invention, according to the calculation of the data transmission efficiency C during the current transmission period, the system can evaluate the current transmission status in real time, and dynamically adjust the transmission speed according to the evaluation result to adapt to the remote network status and data volume changes, thereby improving the transmission efficiency. And through the evaluation calculation of the data transmission quality Z, the system can comprehensively consider the transmission efficiency, error rate, and delay factors, comprehensively evaluate the transmission quality, and adaptively adjust the transmission parameters according to the evaluation result to optimize the transmission performance.

[0053] In the present invention, the calculation of the new data transmission speed DL new involves the data transmission quality Z and the data reception success rate JG from the data transmission efficiency C, thus forming a closed-loop feedback system, which enables the system to dynamically adjust the transmission parameters according to the current transmission situation, continuously improve the transmission performance. By adjusting the transmission speed in real time and comprehensively evaluating the transmission quality, this method can significantly reduce the data loss rate and error rate, improve the stability and reliability of the transmission, and meet the high requirements for data transmission in telemedicine.

[0054] In addition, dynamically adjusting the transmission speed enables the system to reasonably allocate network resources according to actual needs, avoid resource waste, and improve resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 is the method flow chart of the remote information transmission method of this medical device;

[0056] Figure 2 is the overall structural schematic diagram of the remote information transmission system of this medical device;

[0057] Figure 3 is the schematic diagram of the specific adjustment from step 2 to step 3 in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] The present invention will be further described in detail below in conjunction with the drawings and preferred embodiments.

[0059] Referring to Figures 1 - 3 as shown, the present invention provides a technical solution: a remote information transmission method for a medical device, including the following steps:

[0060] Step 1: The medical device collects and transmits the remote information data of the patient, including heart rate and blood pressure, and collects the data volume, speed, time, time difference, successfully received and decoded volume, and error volume generated during the current transmission period from the sending end to the receiving end;

[0061] Step 2: Based on the data volume, speed, time, time difference, successfully received and decoded volume, and error volume collected during the current transmission period, calculate the data transmission efficiency C, data transmission quality Z, and new data transmission speed DL during the current transmission period new ;

[0062] Step 3: Based on the adaptive update speed, and continuously automatically apply the updated speed calculated during the current transmission period to the medical device for transmission adjustment.

[0063] Referring to Figures 1 - 3As shown in the figure, the present invention provides another technical solution: a medical device remote information transmission system, a data acquisition module, a remote information transmission calculation and adjustment module, and an adaptive adjustment execution module;

[0064] Specifically as follows:

[0065] The data acquisition module is used to collect the data volume, speed, time, time difference, successfully received and decoded volume, and error volume generated during the current transmission period from the sending end to the receiving end;

[0066] The remote information transmission calculation and adjustment module is used to calculate the data transmission efficiency C, data transmission quality Z, and new data transmission speed DL during the current transmission period new ;

[0067] The adaptive adjustment execution module is used to adjust the transmission execution of the medical device with an adaptive update speed;

[0068] The devices used by the data acquisition module include sensors, electrocardiographs, and sphygmomanometers;

[0069] The devices used by the remote information transmission calculation and adjustment module include servers and embedded systems;

[0070] The devices used by the adaptive adjustment execution module include wireless network devices and execution devices.

[0071] Through the detailed description of the above method steps, modules, and devices used in this embodiment, a complete medical device remote information transmission method and system can be constructed, thereby realizing real-time adjustment and optimization of the transmission speed, and improving the efficiency and quality of data transmission.

[0072] Referring to Figures 1 - 3 As shown in the figure, in this implementation scheme: the calculation formula of the transmission efficiency during the current transmission period is as follows:

[0073] ;

[0074] Where:

[0075] C is the data transmission efficiency;

[0076] ZL is the actual transmitted data volume, and ZL represents the total amount of data actually transmitted during the current transmission period;

[0077] ZT is the total transmission time, and ZT represents the amount of time elapsed from the start to the end of data transmission during the current transmission period, with the unit of millisecond;

[0078] DL is the data transmission speed, and DL represents the average rate of transmission per unit time during the current transmission period;

[0079] DL max DL is the maximum data transfer speed max which represents the maximum rate that has occurred during the current transmission period for data transfer per unit time;

[0080] JG is the data reception success rate, and JG reflects the ratio of the amount of data successfully received and decoded by the receiving end to the amount of data sent by the sending end during the current transmission period;

[0081] JG max JG is the maximum data reception success rate max which reflects the maximum ratio of the amount of data successfully received and decoded by the receiving end to the amount of data sent by the sending end during past transmission periods;

[0082] Based on calculating the basis for reflecting the basic transmission "quantity", and multiplying it with the one for calculating the basic transmission "quality" to obtain the data transmission efficiency C which is a comprehensive calculation of the basic transmission "quantity" and "quality".

[0083] The calculation part of this algorithm unit calculates the actual transmission efficiency, that is, the proportion of the actual amount of data transmitted per unit time to the total transmission time ZT. The result reflects the data flow situation during the actual transmission process. The higher this proportion, the more data is transmitted within a given time and the higher the efficiency;

[0084] The calculation part smooths data fluctuations through square root processing and comprehensively considers the influence of the data transfer speed DL and the data reception success rate JG on the transmission efficiency. Among them, square root processing can reduce the influence of data fluctuations on the final result, making the result more stable, represents the ratio of the current data transfer speed DL to the maximum data transfer speed DL max ; represents the ratio of the current data reception success rate JG to the maximum data reception success rate JG max ; The square root of the product of these two ratios can reflect the comprehensive situation of the actual efficiency and quality of data transmission, and at the same time avoid having too large an impact on the final result due to individual parameters being too large or too small;

[0085] It should be noted that although The calculation part has given an index for the transmission efficiency of basic data. However, this calculation only considers the "quantity" of the transmission and does not consider the "quality" of the transmission. Specifically, even if a large amount of data is transmitted, if this data is transmitted at a very slow speed or the receiving end frequently experiences receiving failures, then the overall transmission efficiency is still not high. On the contrary, even if the amount of data transmitted is not large, but if the transmission speed is very fast and the receiving end can stably receive all the data, then the overall transmission efficiency is still relatively high. Therefore, multiply This part is to more comprehensively evaluate the efficiency of data transmission, considering both the "quantity" and the "quality" of the transmission;

[0086] In this embodiment, the actual amount of transmitted data ZL reflects the actual burden of the transmission task, while the total transmission time ZT measures the time required to complete these tasks. Through the calculation of the data transmission efficiency C, the system can immediately identify the bottlenecks in the transmission process, including transmission delays caused by excessive data volume and inefficiencies caused by insufficient transmission speed. The data transmission speed DL directly reflects the utilization efficiency of network bandwidth and device processing capabilities, while the data reception success rate JG reveals the integrity and accuracy of the data during transmission. The combination of these two provides a direct basis for the system to adjust the transmission strategy;

[0087] Based on the intelligent scheduling of the data transmission efficiency C, the system can intelligently adjust the priorities and resource allocations of different transmission tasks according to the value of the data transmission efficiency C to improve the overall transmission efficiency. And through the feedback of the data transmission efficiency C, the system can finely adjust transmission parameters such as the transmission rate and coding method to adapt to the transmission requirements in different scenarios and achieve the maximization of resource utilization. Through the real-time monitoring and adjustment of the data transmission efficiency C, the system can timely discover and correct resource waste phenomena in the transmission process;

[0088] Long-term optimization strategies for the data transmission efficiency C will significantly improve the overall efficiency of data transmission, reduce transmission costs, and improve the response speed and quality of medical services.

[0089] Refer to Figures 1 - 3 As shown, in this implementation plan: The calculation formula for the transmission quality in the current transmission period is as follows:

[0090] ;

[0091] Among them:

[0092] Z is the data transmission quality;

[0093] CL is the amount of data transmission errors, and CL represents the total amount of error data that appears during the transmission process in the current transmission period;

[0094] YT is the data transmission delay difference, which represents the time difference experienced by data from being sent at the sending end to being received at the receiving end during the current transmission period;

[0095] in the square root processing is used to balance the relationship between the error amount and the transmission speed;

[0096] It reflects the real-time nature of the transmission during the current transmission period.

[0097] The calculation part of this algorithm unit comprehensively considers the influence of transmission efficiency and error rate on data transmission quality. Among them, the data transmission efficiency C represents the data transmission efficiency, the error fluctuations during high-speed transmission are smoothed through square root processing, is an adjustment factor used to reduce the influence of the error rate on the transmission quality evaluation Z. Multiplying the data transmission efficiency C by this adjustment factor can obtain a part of the data transmission quality Z that comprehensively considers the transmission efficiency C and the error rate;

[0098] Calculate the ratio of the backup evaluation transmission delay to the transmission speed to reflect the real-time nature of the transmission. The ratio obtained by dividing the data transmission delay difference YT by the data transmission speed DL is the ratio of delay to speed. The higher this ratio, the greater the delay relative to the transmission speed and the worse the real-time nature;

[0099] The data transmission efficiency C in this embodiment reflects the efficiency in terms of the "quantity" of the transmission, while the data transmission error amount CL further reveals the problem in terms of the "quality" of the transmission on the basis of the calculation part. By comprehensively considering these two aspects, the system can more comprehensively evaluate the completion of the transmission task. The data transmission delay difference YT, as a key indicator for measuring transmission real-time nature, has extremely high requirements for the real-time nature of medical data. Through the calculation of the data transmission quality Z, the system can accurately identify transmission tasks with excessive delays and take corresponding optimization measures. Z, as the output result of the data transmission quality, provides a direct basis for the system to adjust transmission parameters. The system can intelligently adjust the transmission rate and retransmission strategy parameters according to the value of the data transmission quality Z to optimize the transmission quality;

[0100] The real-time calculation of the data transmission quality Z enables the system to respond in a timely manner to quality problems during the transmission process. Through the evaluation and adjustment strategy of the data transmission quality Z, the system can significantly reduce the error rate and delay during the transmission process, improve the reliability of data transmission, and the long-term data transmission quality Z optimization strategy will help improve the integrity of data during transmission and ensure the accuracy and availability of medical data.

[0101] Refer toFigures 1 - 3 As shown in the figure, in this implementation: The calculation formula for the adaptive update speed within the current transmission period is as follows:

[0102] ;

[0103] Where:

[0104] DL new is the new data transmission speed;

[0105] DL last time is the data transmission speed in the previous transmission period;

[0106] K is an adjustment factor, and K is used to adjust the growth rate of the data transmission speed DL according to the data reception success rate JG;

[0107] The calculation formula for the adjustment factor K is as follows:

[0108] K = JG / JG 0 - 1;

[0109] Where:

[0110] JG 0 is the target reception success rate, that is, the reception success rate level set manually;

[0111] When the data reception success rate JG is higher than the target reception success JG 0 , the adjustment factor K is positive, indicating that the data transmission speed DL should be increased;

[0112] When the data reception success rate JG is lower than the target reception success JG 0 , the adjustment factor K is negative, indicating that the data transmission speed DL should be decreased;

[0113] in the square root processing is used to slow down its descent speed and avoid the data transmission speed DL from decreasing too fast;

[0114] is used as a subtraction term to correct the overly fast growth of the speed caused by unsuccessful reception.

[0115] In the calculation part of this algorithm unit, DL is the data transmission speed, The impact of the adjustment range on the success rate of data reception JG is smoothed through square root processing. The adjustment factor K is used to adjust the growth rate of the data transmission speed DL according to the current reception success rate. After adding the factor related to successful data reception adjusted by the adjustment factor K to the data transmission speed DL, the data transmission speed DL will be adjusted based on the original data transmission speed DL affected by the adjusted success rate of data reception, that is, it reflects the part that should be increased and decreased in the new speed due to the increase and decrease of the reception success rate, and a new basic value of the data transmission speed is obtained after the adjustment and addition;

[0116] The calculation part reduces the part retained in the old speed due to unsuccessful reception when calculating the new speed, where represents the probability of unsuccessful data reception, and DL last time is the data transmission speed in the previous transmission period. Multiplying these two and then multiplying by the data transmission quality Z can obtain the part that affects the transmission quality due to unsuccessful reception and needs to be reduced in the new speed;

[0117] This embodiment is based on the intelligent adjustment of the data transmission quality Z and the data reception success rate JG. Specifically, the data transmission quality Z reflects the quality status of the current transmission task, while the data reception success rate JG reveals the processing ability of the data reception end. By comprehensively considering these two, the system can intelligently adjust the new data transmission speed DL new to adapt to different network conditions and data volume requirements;

[0118] The new data transmission speed DL new The adjustment strategy aims to achieve a dynamic balance between transmission efficiency and quality. On the premise of ensuring transmission quality, it improves transmission efficiency as much as possible. When the transmission efficiency is limited, the speed is reduced to ensure the integrity and accuracy of the data;

[0119] The new data transmission speed DL new The adjustment application forms a closed-loop feedback system, enabling the system to continuously monitor the performance changes during the transmission process and optimize the adjustment according to real-time data. This continuous optimization mechanism will continuously improve the transmission efficiency and quality. The establishment of the closed-loop feedback system helps to enhance the stability of the system. By adjusting the transmission parameters in real time, the system can cope with various external interferences and changes, ensuring the continuity and stability of data transmission. The strategy of adaptively adjusting transmission parameters enables the system to better adapt to different network environments and data volume requirements. No matter what challenges it faces, the system can maintain efficient and stable transmission performance through intelligent adjustment, and the long-term adaptive adjustment strategy will significantly improve the overall reliability of the system. By continuously optimizing the transmission parameters, the system can ensure the accurate and timely transmission of medical data, providing a solid technical guarantee for medical services.

[0120] Referring to Figures 1 - 3 as shown, in this embodiment: Based on the result of the new data transmission speed DL new and taking the new data transmission speed DL new as the speed for transmission from the sending end to the receiving end during the next transmission period of the medical device for adjustment and execution, and directly replacing the data transmission speed DL during the next transmission period, and sequentially calculating the data transmission efficiency C, data transmission quality Z, and adaptive update speed during the next transmission period.

[0121] In this embodiment, since the new data transmission speed DL new can adaptively adjust the transmission speed according to the current transmission quality assessment result, this will directly affect the calculation of the data transmission efficiency C. With the optimization of the transmission speed, the value of the data transmission efficiency C will also continuously increase, thereby achieving continuous optimization of the transmission efficiency. By continuously calculating the new data transmission speed DL new in a closed-loop feedback system, the system can continuously adjust and optimize according to the current transmission situation, which will help reduce fluctuations and uncertainties during the transmission process and enhance the stability of the system;

[0122] The adjustment and application of the new data transmission speed DL new enable the system to adaptively adjust the transmission parameters according to real-time data, which provides the possibility for realizing the intelligent control of the system. With the continuous development of technology, this adaptive adjustment mechanism will be further improved and optimized, promoting the intelligent development of the medical device remote information transmission system;

[0123] Through the calculated data transmission efficiency C, the system can accurately evaluate the data transmission situation during the current transmission cycle. When the transmission efficiency is low, the system can adjust the parameters according to the subsequent formula to improve the efficiency of the next transmission. This dynamic adjustment mechanism ensures that the data transmission always maintains a high efficiency level. And the data transmission quality Z comprehensively considers multiple factors such as transmission efficiency, error rate, and delay, and comprehensively evaluates the data transmission quality. Through this formula, the system can identify the key factors affecting the transmission quality and make targeted adjustments accordingly. When the error rate is high, the system will reduce the transmission speed to reduce errors. When the delay is long, the system will optimize the transmission path and increase transmission resources to improve real-time performance. This optimization strategy helps to improve the overall transmission quality;

[0124] Dynamically adjusting the transmission speed also helps to reduce operating costs. When the transmission speed is too high and not necessary, the system can appropriately reduce the speed to reduce resource consumption. On the contrary, when the transmission demand increases, the system can quickly increase the speed to meet the demand. This flexible adjustment strategy helps to achieve the rational utilization of resources and the effective control of costs;

[0125] In summary, according to the calculation of the data transmission efficiency C, the data transmission quality Z, and the new data transmission speed DL new the system continuously adjusts the speed of remote information transmission in real time and automatically, which can bring beneficial effects in terms of improving transmission efficiency, optimizing transmission quality, enhancing system stability, and reducing operating costs. These effects together constitute the unique advantages of the system in the field of remote information transmission of medical devices.

[0126] It should be noted that any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall also fall within the protection scope of the present invention.

Claims

1. A medical device remote information transmission method, characterized in that: The method comprises the following steps: Step 1: The medical device collects and transmits the patient's remote information data, including heart rate and blood pressure, and collects the data volume, speed, time, time difference, successful reception and decoding volume, and error volume generated by the transmission from the sender to the receiver during the current transmission period; Step 2: Based on the amount of data, speed, time, time difference, amount of successfully received and decoded data, and amount of errors collected during the current transmission period, calculate the data transmission efficiency C, data transmission quality Z, and new data transmission speed DL during the current transmission period. new ; Step 3: Based on the adaptive update speed, the update speed calculated during the current transmission period is automatically applied to the medical device to adjust the transmission; The calculation formula of the transmission efficiency in the current transmission period is as follows: ； in: C is the data transmission efficiency; ZL is the actual amount of data transmitted, and ZL represents the total amount of data actually transmitted in the current transmission period; ZT is the total transmission time, which represents the amount of time from the start to the end of data transmission in the current transmission period, in milliseconds; DL is the data transmission speed, which means the average transmission rate per unit time in the current transmission period; DL max The maximum data transmission speed, DL max Indicates the maximum rate of transmission that has occurred within the unit time of the current transmission period; JG is the data reception success rate, which reflects the ratio of the amount of data successfully received and decoded by the receiving end to the amount of data sent by the sending end during the current transmission period; JG max is the maximum success rate of data reception, JG max Reflects the maximum ratio of the amount of data successfully received and decoded by the receiving end to the amount of data sent by the sending end during the past transmission period; The calculation formula of the transmission quality in the current transmission period is as follows: ； in: Z is the data transmission quality; CL is the amount of data transmission errors, which indicates the total amount of erroneous data that occurs during the transmission process in the current transmission period; YT is the data transmission delay difference, which means the time difference between the data being sent from the sender and received by the receiver during the current transmission period; The calculation formula of the adaptive update speed in the current transmission period is as follows: ； in: DL new The new data transmission speed; DL last time The data transmission speed in the previous transmission period, DL last time Indicates the data transmission speed in the previous transmission period, that is, the data transmission speed DL of the previous transmission period; K is an adjustment factor, and K is used to adjust the increase range of the data transmission speed DL according to the data reception success rate JG.

2. A medical device remote information transmission method according to claim 1, characterized in that: Based on the new data transmission speed DL new The result is that the new data transmission speed DL new As the speed of transmission from the sending end to the receiving end in the next transmission period of the medical device, the data transmission speed DL will be directly replaced in the next transmission period, and the data transmission efficiency C, data transmission quality Z and new data transmission speed DL in the next transmission period will be calculated in turn. new .

3. A medical device remote information transmission method according to claim 1, characterized in that: The calculation formula of the adjustment factor K is as follows: K = JG / JG0-1; in: JG0 is the target reception success rate, i.e., the reception success rate level set by manual entry; When the data reception success rate JG is higher than the target reception success rate JG0, the adjustment factor K is positive, indicating that the data transmission speed DL should be increased; When the data reception success rate JG is lower than the target reception success rate JG0, the adjustment factor K is negative, indicating that the data transmission speed DL should be reduced.

4. A medical equipment remote information transmission system, using a medical equipment remote information transmission method according to any one of claims 1 to 3, characterized in that: The medical equipment remote information transmission system includes a data acquisition module, a remote information transmission calculation and adjustment module, and an adaptive adjustment execution module; The details are as follows: The data collection module is used to collect the data volume, speed, time, time difference, successful reception and decoding volume, and error volume generated by the transmission from the sending end to the receiving end during the current transmission period; The remote information transmission calculation and adjustment module is used to calculate the data transmission efficiency C, data transmission quality Z and new data transmission speed DL in the current transmission period. new ; The adaptive adjustment execution module is used to adjust the adaptive update speed of the transmission execution of the medical device.

5. A medical equipment remote information transmission system according to claim 4, characterized in that: The equipment used in the data acquisition module includes sensors, electrocardiographs, and sphygmomanometers; The equipment used by the remote information transmission calculation and adjustment module includes a server and an embedded system; The devices used by the adaptive adjustment execution module include wireless network devices and execution devices.

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