Remote information transmission method and system for medical equipment

Abstract

The invention discloses a remote information transmission method and system for medical equipment, and belongs to the technical field of remote information transmission adaptive adjustment. The method comprises the steps that the medical equipment collects and transmits remote information data, including heart rate and blood pressure, of a patient; the data volume, the speed, the time, the time difference, the successful receiving and decoding amount and the error amount generated by transmission from the sending end to the receiving end in the current transmission time period are collected, and the data volume, the speed, the time, the time difference, the successful receiving and decoding amount and the error amount are acquired based on the data volume, the speed, the time, the time difference, the successful receiving and decoding amount and the error amount collected in the current transmission time period; the data transmission efficiency C, the data transmission quality Z and the new data transmission speed DLnew in the current transmission time period are calculated, the updating speed obtained through calculation in the current transmission time period is continuously and automatically applied to the medical equipment for transmission adjustment based on the self-adaptive updating speed, and real-time adjustment of the transmission speed is achieved; and the transmission efficiency and quality are also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote information transmission adaptive adjustment, and in particular to a medical equipment remote information transmission method and system. Background Art

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

[0003] However, the inventors believe that the existing technologies often have the following defects: First, the existing medical equipment remote information transmission systems often use a fixed transmission speed for data transmission, and cannot be dynamically adjusted according to network conditions, data volume and receiving end capabilities, resulting in low transmission efficiency and waste of resources. The existing system lacks an effective dynamic adjustment mechanism and cannot adaptively adjust the transmission parameters according to real-time transmission conditions to optimize transmission efficiency and quality. Due to network fluctuations and equipment performance factors, the existing transmission system often has the problem of unstable transmission quality, which affects the accuracy and reliability of telemedicine. In addition, the existing system lacks 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 existing technology 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 medical equipment remote information transmission method and system.

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

[0006] 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;

[0007] 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 ;

[0008] Step 3: Based on the adaptive update speed, the update speed calculated during the current transmission period is continuously automatically applied to the medical device to adjust the transmission.

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

[0010] ;

[0011] in:

[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 in the current transmission period;

[0014] 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;

[0015] DL is the data transmission speed, which means the average transmission rate per unit time in the current transmission period;

[0016] 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;

[0017] 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;

[0018] 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;

[0019] exist The calculation reflects the basic transmission "quantity" on the basis of the calculation reflects the basic transmission "quality" Multiplying them together, we can get the data transmission efficiency C which is a comprehensive calculation of the basic transmission "quantity" and "quality".

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

[0021] ;

[0022] in:

[0023] Z is the data transmission quality;

[0024] 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;

[0025] 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;

[0026] Middle Pair The square root processing is used to balance the relationship between the error amount and the transmission speed;

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

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

[0029] ;

[0030] in:

[0031] DL new The new data transmission speed;

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

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

[0034] middle The square root of is processed to slow down its decline and avoid too fast decrease of data transmission speed DL;

[0035] As a reduction item, it is used to correct the excessive speed increase caused by unsuccessful reception that affects the transmission quality.

[0036] Preferably, based on the new data transmission speed DL new The result is that the new data transmission speed DL new During the next transmission period of the medical device, the transmission speed from the transmitting end to the receiving end is adjusted and executed, and the data transmission speed DL will be directly replaced during the next transmission period, and the data transmission efficiency C, data transmission quality Z and adaptive update speed during the next transmission period will be calculated in turn.

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

[0038] K = JG / JG0-1;

[0039] in:

[0040] JG0 is the target reception success rate, i.e., the reception success rate level set by manual entry;

[0041] 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;

[0042] 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.

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

[0044] The details are as follows:

[0045] 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;

[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 in the current transmission period. new ;

[0047] The adaptive adjustment execution module is used to adjust the adaptive update speed of the transmission execution of the medical device.

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

[0049] The equipment used by the remote information transmission calculation and adjustment module includes a server and an embedded system;

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

[0051] Technical effects and advantages of the present invention:

[0052] In the present invention, based on the calculation of the data transmission efficiency C in 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 results, so as to adapt to the remote network status and data volume changes, thereby improving the transmission efficiency. Moreover, through the evaluation and calculation of the data transmission quality Z, the system can comprehensively consider the transmission efficiency, error rate and delay factors, conduct a comprehensive evaluation of the transmission quality, and adaptively adjust the transmission parameters according to the evaluation results to optimize the transmission performance.

[0053] In the present invention, the new data transmission speed DLnew The calculation 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 and 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 of telemedicine for data transmission.

[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 A method flow chart of the medical device remote information transmission method;

[0056] Figure 2 This is a schematic diagram of the overall structure of the medical equipment remote information transmission system;

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

[0058] The present invention will now be described in further detail with reference to the accompanying drawings and preferred embodiments.

[0059] Reference Figure 1-Figure 3 As shown, the present invention provides a technical solution: a medical device remote information transmission method, comprising the following steps:

[0060] 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;

[0061] 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 ;

[0062] Step 3: Based on the adaptive update speed, the update speed calculated during the current transmission period is continuously automatically applied to the medical device to adjust the transmission.

[0063] Reference Figure 1-Figure 3 As shown, the present invention provides another technical solution: a medical equipment remote information transmission system, a data acquisition module, a remote information transmission calculation and adjustment module, and an adaptive adjustment execution module;

[0064] The details are as follows:

[0065] 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;

[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 in the current transmission period. new ;

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

[0068] The equipment used in the data acquisition module includes sensors, electrocardiographs, and blood pressure monitors;

[0069] The equipment used in the remote information transmission calculation and adjustment module includes 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 equipment used, this embodiment can construct a complete medical equipment remote information transmission method and system, and then realize real-time adjustment and optimization of the transmission speed, thereby improving the efficiency and quality of data transmission.

[0072] Reference Figure 1-Figure 3 As shown, in this implementation scheme: the calculation formula for the transmission efficiency in the current transmission period is as follows:

[0073] ;

[0074] in:

[0075] C is the data transmission efficiency;

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

[0077] 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;

[0078] DL is the data transmission speed, which means the average transmission rate per unit time in the current transmission period;

[0079] DL max The maximum data transmission speed, DL maxIndicates the maximum rate of transmission that has occurred within the unit time of the current transmission period;

[0080] 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;

[0081] 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;

[0082] exist The calculation reflects the basic transmission "quantity" on the basis of the calculation reflects the basic transmission "quality" Multiplying them together, we can get the data transmission efficiency C which is a comprehensive calculation of the basic transmission "quantity" and "quality".

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

[0084] The calculation part smoothes data fluctuations through square root processing, and comprehensively considers the impact of data transmission speed DL and data reception success rate JG on transmission efficiency. Square root processing can reduce the impact of data fluctuations on the final result, making the result more stable. Indicates the current data transmission speed DL and the maximum data transmission speed DL max The proportion of Indicates the current data reception success rate JG and the maximum data reception success rate JG max The square root of these two ratios can reflect the comprehensive situation of the actual efficiency and quality of data transmission, while avoiding the excessive impact on the final result caused by a single parameter being too large or too small;

[0085] It is worth noting that although The calculation part has given a transmission efficiency index for basic data, but this calculation only considers the "quantity" of transmission, but not the "quality" of transmission. Specifically, even if a large amount of data is transmitted, if this data is transmitted at a very slow speed, or if the receiving end frequently fails to receive, then the overall transmission efficiency is still not high. On the contrary, even if the amount of data transmitted is not large, 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, multiplying by This part is to evaluate the efficiency of data transmission more comprehensively, taking into account both the "quantity" and the "quality" of transmission;

[0086] In this embodiment, the actual transmission data volume ZL reflects the actual burden of the transmission task, and the total transmission time ZT measures the time required to complete these tasks. By calculating the data transmission efficiency C, the system can instantly identify the bottlenecks in the transmission process, including transmission delays caused by excessive data volume and inefficiency 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 the transmission process. The combination of the two provides a direct basis for the system to adjust the transmission strategy.

[0087] Based on intelligent scheduling of data transmission efficiency C, the system can intelligently adjust the priority and resource allocation of different transmission tasks according to the value of data transmission efficiency C to improve the overall transmission efficiency. Through the feedback of data transmission efficiency C, the system can finely adjust the transmission parameters of transmission rate and encoding method to adapt to the transmission requirements in different scenarios and maximize the utilization of resources. Through real-time monitoring and adjustment of data transmission efficiency C, the system can timely discover and correct the waste of resources in the transmission process.

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

[0089] Reference Figure 1-Figure 3 As shown, in this implementation scheme: the calculation formula for the transmission quality in the current transmission period is as follows:

[0090] ;

[0091] in:

[0092] Z is the data transmission quality;

[0093] 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;

[0094] 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;

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

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

[0097] This algorithm unit The calculation part comprehensively considers the impact of transmission efficiency and error rate on data transmission quality, where data transmission efficiency C represents data transmission efficiency. The square root processing smoothes out the error fluctuations during high-speed transmission. It is an adjustment factor used to reduce the impact 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 after comprehensively considering 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 performance of the transmission. The data transmission delay difference YT divided by the data transmission speed DL is the ratio of delay to speed. The higher the ratio, the greater the delay relative to the transmission speed, and the worse the real-time performance.

[0099] The data transmission efficiency C of this embodiment reflects the efficiency in terms of the “quantity” of transmission, while the data transmission error quantity CL further reflects the efficiency in terms of the “quantity” of transmission. The calculation part reveals the "quality" problem of transmission. By comprehensively considering the two, the system can more comprehensively evaluate the completion of the transmission task. The data transmission delay difference YT is a key indicator to measure the real-time performance of transmission. The real-time performance of medical data is extremely high. Through the calculation of the data transmission quality Z, the system can accurately identify the transmission tasks with excessive delay and take corresponding optimization measures. Z, as the output result of data transmission quality, provides a direct basis for the system to adjust the 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] Real-time calculation of data transmission quality Z enables the system to respond promptly to quality issues in the transmission process. Through the evaluation and adjustment strategy of data transmission quality Z, the system can significantly reduce the error rate and delay in the transmission process and improve the reliability of data transmission. 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] Reference Figure 1-Figure 3 As shown, in this implementation scheme: the calculation formula for the adaptive update speed in the current transmission period is as follows:

[0102] ;

[0103] in:

[0104] DL new The new data transmission speed;

[0105] DLlast time The data transmission speed in the previous transmission period;

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

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

[0108] K = JG / JG0-1;

[0109] in:

[0110] JG0 is the target reception success rate, i.e., the reception success rate level set by manual entry;

[0111] 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;

[0112] 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;

[0113] middle The square root of is processed to slow down its decline and avoid too fast decrease of data transmission speed DL;

[0114] As a reduction item, it is used to correct the excessive speed increase caused by unsuccessful reception.

[0115] This algorithm unit In the calculation part, DL is the data transmission speed. The influence of the data receiving success rate JG on the adjustment range is smoothed by square root processing. The adjustment factor K is used to adjust the growth range of the data transmission speed DL according to the current receiving success rate. After the factors related to the data receiving success adjusted by the adjustment factor K are added to the data transmission speed DL, the data transmission speed DL will be affected by the data receiving success after the adjustment range to adjust the original data transmission speed DL, that is, it reflects the part that should be increased or decreased in the new speed due to the increase or decrease in the receiving 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 portion of the old speed that is retained due to unsuccessful reception when calculating the new speed, where Indicates the probability of unsuccessful data reception, DL last time is the data transmission speed in the previous transmission period. Multiplying the 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 data transmission quality Z and data reception success rate JG. Specifically, the data transmission quality Z reflects the quality of the current transmission task, while the data reception success rate JG reveals the processing capacity of the data receiving end. By comprehensively considering the two, the system can intelligently adjust the new data transmission speed DL new To adapt to different network conditions and data volume requirements;

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

[0119] New data transfer speed DL new The adjustment application forms a closed-loop feedback system, which enables the system to continuously monitor performance changes during transmission and make optimization adjustments based on real-time data. This continuous optimization mechanism will continuously improve transmission efficiency and quality. The establishment of a 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 to ensure the continuity and stability of data transmission. The strategy of adaptively adjusting the 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 adjustments, 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 solid technical support for medical services.

[0120] Reference Figure 1-Figure 3 As shown, in this embodiment: based on the new data transmission speed DL new The result is that the new data transmission speed DL new During the next transmission period of the medical device, the transmission speed from the transmitting end to the receiving end is adjusted and executed, and the data transmission speed DL will be directly replaced during the next transmission period, and the data transmission efficiency C, data transmission quality Z and adaptive update speed during the next transmission period will be calculated in turn.

[0121] In this embodiment, due to the new data transmission speed DL new The transmission speed can be adaptively adjusted according to the current transmission quality evaluation results, which will directly affect the calculation of the data transmission efficiency C. As the transmission speed is optimized, the value of the data transmission efficiency C will also continue to increase, thereby achieving continuous optimization of the transmission efficiency. By continuously calculating the new data transmission speed DL newThe closed-loop feedback system can continuously adjust and optimize according to the current transmission status, which will help reduce fluctuations and uncertainties in the transmission process and enhance the stability of the system.

[0122] New data transfer speed DL new The application of adjustment enables the system to adaptively adjust the transmission parameters according to real-time data, which makes it possible to realize intelligent control of the system. With the continuous development of technology, this adaptive adjustment mechanism will be further improved and optimized to promote the intelligent development of medical equipment remote information transmission system.

[0123] By calculating the data transmission efficiency C, the system can accurately evaluate the data transmission situation in 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 data transmission always maintains a high efficiency level. 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 the 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 reduce operating costs. When the transmission speed is too high and not necessary, the system can appropriately reduce the speed to reduce resource consumption. Conversely, when the transmission demand increases, the system can quickly increase the speed to meet the demand. This flexible adjustment strategy helps to achieve rational use of resources and effective cost control.

[0125] In summary, according to data transmission efficiency C, data transmission quality Z, and new data transmission speed DL new The system automatically and in real time adjusts the speed of remote information transmission, which can improve transmission efficiency, optimize transmission quality, enhance system stability and reduce operating costs. These effects together constitute the unique advantages of the system in the field of remote information transmission of medical equipment.

[0126] It should be noted that any modification, equivalent substitution, improvement, etc. made within the spirit and principles of the present invention should also be 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 continuously automatically applied to the medical device to adjust the transmission.

2. A medical device remote information transmission method according to claim 1, characterized in that: 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; exist The calculation reflects the basic transmission "quantity" on the basis of the calculation reflects the basic transmission "quality" Multiplying them together, we get the data transmission efficiency C which is a comprehensive calculation of the basic transmission "quantity" and "quality".

3. A medical device remote information transmission method according to claim 2, characterized in that: 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; Middle Pair The square root processing is used to balance the relationship between the error amount and the transmission speed; Reflects the real-time nature of transmission during the current transmission period.

4. A medical device remote information transmission method according to claim 3, characterized in that: 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; K is an adjustment factor, and K is used to adjust the increase of the data transmission speed DL according to the data reception success rate JG; middle The square root of is processed to slow down its decline and avoid too fast decrease of data transmission speed DL; As a reduction item, it is used to correct the excessive speed increase caused by unsuccessful reception that affects the transmission quality.

5. A medical device remote information transmission method according to claim 4, 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 .

6. A medical device remote information transmission method according to claim 4, 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.

7. A medical equipment remote information transmission system, using a medical equipment remote information transmission method according to any one of claims 1 to 6, 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.

8. A medical equipment remote information transmission system according to claim 7, 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.

Images