Remote processing system for post-operation follow-up visit data of cardiac pacemaker

Abstract

The invention relates to the technical field of medical data processing, in particular to a cardiac pacemaker postoperative follow-up data remote processing system which comprises a pacemaker, a pacing electrode wire, a fixed electrode, a forwarding device and a cloud end. The fixed electrode obtains myocardial impedance measured in real time; the cloud has a medical record library; the cloud records the measured myocardial impedance uploaded by the fixed electrode through the forwarding device into a corresponding medical record of the patient; the cloud establishes a myocardial impedance fluctuation rate detection algorithm, and if the patient has emphysema, the cloud establishes a respiration correction myocardial impedance fluctuation rate detection algorithm; the cloud side judges whether the myocardial impedance fluctuation rate or the breathing correction myocardial impedance fluctuation rate moves in a preset range or not; according to the method, the myocardial impedance volatility is converted into the heartbeat cycle dimension, the heart rate normalization factor is introduced to peel off the interference of heart rate change on impedance, the influence of heartbeat cycle shortening is avoided, different heart rates have comparability, and respiration is introduced to correct the myocardial impedance volatility to restore the real myocardial impedance change.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data processing, and in particular to a remote processing system for follow-up data after cardiac pacemaker surgery. Background Art

[0002] Pacemaker actually refers to the entire pacing system. The pacing system consists of a pacemaker, pacing electrode wires and a programmer. The pacemaker and pacing electrode wires are implanted in the human body. The pacemaker consists of a circuit and a battery installed in a metal box. The pacemaker sends tiny electrical pulses to the heart when needed. The pacing electrode wires are composed of insulated wires, which are responsible for transmitting tiny electrical pulses to the heart to stimulate the heart to beat.

[0003] At present, there is a probability of electrode dislocation after the fixation of the pacemaker electrode in clinical practice, which increases the risk of cardiac arrest in patients, and the patient needs to return to the interventional room to adjust the electrode position. However, in the prior art, the follow-up after cardiac pacemaker surgery is generally required to go to the hospital for follow-up after one month, three months, six months, or one year; once the electrode dislocation occurs between the follow-up intervals, the electrode dislocation leads to an increase in the pacing threshold, a decrease in the sensing function, and excessive pacing, and even pacing failure, which easily misses the best treatment time. Therefore, there is a need for a remote processing system for cardiac pacemaker postoperative follow-up data that can detect electrode dislocation in advance to ensure patient safety. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a remote processing system for postoperative follow-up data of a cardiac pacemaker, which can detect electrode dislocation in advance to ensure the safety of patients.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A remote processing system for cardiac pacemaker postoperative follow-up data, comprising a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;

[0007] The fixed electrode is implanted in the patient's body, the pacemaker includes a battery and a circuit board, and the circuit board is provided with a first data transmission module and a controller; the battery is connected to the pacemaker through the circuit board and the pacing electrode lead, and the controller obtains real-time measurement of myocardial impedance through the fixed electrode;

[0008] The forwarding device includes a second data transmission module;

[0009] The cloud has a third data transmission module and a medical record library; the first data transmission module is data-connected with the third data transmission module through the second data transmission module; the cloud records the measured myocardial impedance uploaded by the first data transmission module into the patient's corresponding medical record;

[0010] The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:

[0011] Z= ×Norm(HR(t));Norm(HR(t))= ;

[0012] in, is the myocardial impedance at time t obtained by the fixed electrode, is the time window; is the myocardial impedance measured by the reverse time difference, i.e. Myocardial impedance measured at all times; Norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at time t, is the patient's resting heart rate;

[0013] The cloud calls the patient's medical records in the medical record database. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm: = Z× ;

[0014] in, It is the baseline value of the patient's breathing, obtained at the first follow-up after surgery; It is the real-time respiratory amplitude, calculated by chest wall impedance fluctuations collected synchronously by fixed electrodes;

[0015] Determine myocardial impedance fluctuation rate through the cloud Z or Whether the activity is within the preset range, if so, no action is taken, if not, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

[0016] Preferably, the cloud determines any two consecutive myocardial impedance fluctuation rates Z or any two consecutive respiratory corrected myocardial impedance fluctuation rates Whether the slope exceeds the preset value, if not, no action is taken; if so, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

[0017] Preferably, the patient's baseline breathing value Updates were made when the patient came to the hospital for follow-up.

[0018] Preferably, the Obtain the patient's medical records by calling the medical records database in the cloud. If there is no record in the medical records, , then Set to 60.

[0019] Preferably, if the patient's HR (t) is greater than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range is automatically adjusted upward by 20%.

[0020] Preferably, if the patient's HR (t) is less than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range is restored to the original value.

[0021] Preferably, if the patient's HR (t) is less than 50 times / minute and lasts for more than 10 minutes, the maximum value of the preset range is adjusted downward.

[0022] Preferably, the The value is 300.

[0023] Preferably, the forwarding device is a mobile phone and / or an electronic watch.

[0024] Preferably, the controller detects the battery power through the circuit board, and if the battery power is lower than a preset value, sends a low-battery reminder to the second data transmission module through the first data transmission module.

[0025] The beneficial effects of the present invention are as follows: a myocardial impedance fluctuation detection algorithm is established through the cloud, the myocardial impedance fluctuation is converted from the existing absolute time dimension to the heartbeat cycle dimension, and a heart rate normalization factor is introduced to remove the interference of heart rate changes on impedance, thereby avoiding the impact of shortening the heartbeat cycle, thereby making the conditions under different heart rates comparable, and avoiding triggering unnecessary clinical interventions due to the influence of exercise; at the same time, a respiratory correction myocardial impedance fluctuation is further introduced. Since the air content of the lung tissue of emphysema patients increases, the lung impedance decreases, and the chest impedance near the right ventricle where the fixed electrode is located is "diluted" and also decreases, so it needs to be corrected, and the larger the respiratory amplitude, the better the correction. The greater the impact of Z, the true myocardial impedance change is restored by inverse scaling. If the pacemaker needs to send data to the cloud in real time or store data locally, the battery cannot support it. Therefore, remote communication between the forwarding device and the cloud is used to reduce the load. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural schematic diagram of a remote processing system for postoperative follow-up data of a cardiac pacemaker according to the present invention;

[0027] Explanation of numbers: 1. Patient; 2. Pacemaker; 3. Pacing electrode lead; 4. Forwarding device; 5. Cloud. DETAILED DESCRIPTION

[0028] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

[0029] Please refer to Figure 1 , a cardiac pacemaker postoperative follow-up data remote processing system, comprising a pacemaker 2, a pacing electrode lead 3, a fixed electrode, a forwarding device 4 and a cloud 5;

[0030] The fixed electrode is implanted in the body of the patient 1, the pacemaker includes a battery, a circuit board, and a first data transmission module and a controller are arranged on the circuit board; the battery is connected to the pacemaker through the circuit board and the pacing electrode wire, and the controller obtains real-time measurement of myocardial impedance through the fixed electrode;

[0031] The forwarding device includes a second data transmission module;

[0032] The cloud has a third data transmission module and a medical record library; the first data transmission module is data-connected with the third data transmission module through the second data transmission module; the cloud records the measured myocardial impedance uploaded by the first data transmission module into the patient's corresponding medical record;

[0033] The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:

[0034] Z= ×Norm(HR(t));Norm(HR(t))= ;

[0035] in, is the myocardial impedance at time t obtained by the fixed electrode, is the time window; is the myocardial impedance measured by the reverse time difference, i.e. Myocardial impedance measured at all times; Norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at time t, is the patient's resting heart rate;

[0036] The cloud calls the patient's medical records in the medical record database. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm: = Z× ;

[0037] in, It is the baseline value of the patient's breathing, obtained at the first follow-up after surgery; It is the real-time respiratory amplitude, calculated by chest wall impedance fluctuations collected synchronously by fixed electrodes;

[0038] Determine myocardial impedance fluctuation rate through the cloud Z or Whether the activity is within the preset range, if so, no action is taken, if not, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

[0039] From the above description, it can be seen that the myocardial impedance fluctuation rate detection algorithm is established through the cloud, and the myocardial impedance fluctuation rate is converted from the existing absolute time dimension to the heartbeat cycle dimension. At the same time, the heart rate normalization factor is introduced to remove the interference of heart rate changes on impedance, avoid the impact of shortening the heartbeat cycle, and thus make the conditions under different heart rates comparable, avoiding the triggering of unnecessary clinical interventions due to the influence of exercise; at the same time, the respiratory correction myocardial impedance fluctuation rate is further introduced. Since the air content of the lung tissue of emphysema patients increases, the lung impedance decreases, and the chest impedance near the right ventricle where the fixed electrode is located is "diluted" and also decreases, so it needs to be corrected, and the larger the respiratory amplitude, the more The greater the influence of Z, the more the true myocardial impedance changes are restored by inverse scaling.

[0040] Furthermore, the cloud determines the fluctuation rate of any two consecutive myocardial impedances Z or any two consecutive respiratory corrected myocardial impedance fluctuation rates Whether the slope exceeds the preset value, if not, no action is taken; if so, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

[0041] From the above description, it can be seen that by judging the slope, since electrode dislocation is not a sudden fall but a process, if the slope exceeds the preset value, it means that the fixed electrode may have been displaced.

[0042] Furthermore, the patient's breathing baseline value Updates were made when the patient came to the hospital for follow-up.

[0043] As can be seen from the above description, regular updates are also required because lung impedance decreases year by year due to the progression of emphysema, or emphysema changes with treatment.

[0044] Furthermore, the Obtain the patient's medical records by calling the medical records database in the cloud. If there is no record in the medical records, , then Set to 60.

[0045] From the above description, we can see that by calling , which can ensure the personalization of data processing. However, if not, the data will be directly set according to the ordinary standard of 60 to ensure the monitoring effect.

[0046] Furthermore, if the patient's HR (t) is greater than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range is automatically adjusted upward by 20%.

[0047] From the above description, it can be seen that by automatically increasing the maximum value of the preset range, it is possible to avoid triggering an alarm due to an overly conservative strategy during exercise.

[0048] Furthermore, if the patient's HR (t) is less than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range is restored to the original value.

[0049] Furthermore, if the patient's HR (t) is less than 50 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range is adjusted downward.

[0050] From the above description, it can be seen that if the patient's HR (t) is less than 50 times / minute, it is considered that the patient is bedridden for a long time to avoid the bradycardia masking impedance abnormalities.

[0051] Furthermore, the The value is 300.

[0052] From the above description, we can see that The value is 300, which means 300 seconds, 5 minutes. Generally, 5 minutes as a cycle will not lead to over-frequent detection, but also ensure that the time is long enough for a cycle to detect whether there is any problem with the myocardial impedance fluctuation rate. If it is too short, it is easy to cause detection errors or over-sensitivity.

[0053] Furthermore, the forwarding device is a mobile phone and / or an electronic watch.

[0054] From the above description, it can be seen that by using mobile phones and / or electronic watches, since mobile phones and electronic watches are already very popular devices, it is convenient to prompt warnings to patients through mobile phones or bracelets.

[0055] Furthermore, the controller detects the battery power through the circuit board, and if the battery power is lower than a preset value, sends a low-battery reminder to the second data transmission module through the first data transmission module.

[0056] Embodiment 1

[0057] A remote processing system for cardiac pacemaker postoperative follow-up data, comprising a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;

[0058] The fixed electrode is implanted in the patient's body, the pacemaker includes a battery and a circuit board, and the circuit board is provided with a first data transmission module and a controller; the battery is connected to the pacemaker through the circuit board and the pacing electrode lead, and the controller obtains real-time measurement of myocardial impedance through the fixed electrode;

[0059] The forwarding device includes a second data transmission module;

[0060] The cloud has a third data transmission module and a medical record library; the first data transmission module is data-connected with the third data transmission module through the second data transmission module; the cloud records the measured myocardial impedance uploaded by the first data transmission module into the patient's corresponding medical record;

[0061] The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:

[0062] Z= ×Norm(HR(t));Norm(HR(t))= ;

[0063] The heart rate normalization factor converts the heart rate (beats / minute) into heart beats (seconds / beat). Here we assume that =60;

[0064] Resting HR = 60 beats / min → heart rate = 1 second / beat → Norm = 1;

[0065] Exercise HR = 120 beats / min → heart rate = 2 seconds / beat → Norm = 2;

[0066] Myocardial impedance fluctuation rate Z is converted from the existing "absolute time dimension" to the "heartbeat cycle dimension", removing the interference of heart rate changes on impedance;

[0067] For example, when the heart rate HR(t) increases during exercise, the value of ΔZ will decrease (the number of heartbeats per unit time is more, the heart ejects more blood, the myocardial blood volume increases, and the myocardial impedance measured by the electrode decreases (blood is a good conductor, and impedance is negatively correlated with blood volume)). The increase in the Norm factor can avoid the impact of a shortened heart rate cycle (equivalent to a hedging measure, and the ΔZ after hedging is similar), thereby making ΔZ at different heart rates comparable, and avoiding the single factor influence of heart rate HR, which makes it difficult for the cloud to determine whether electrode dislocation has occurred or is affected by exercise, and easily triggers unnecessary clinical interventions.

[0068] in, is the myocardial impedance at time t obtained by the fixed electrode, is the time window; is the myocardial impedance measured by the reverse time difference, i.e. Myocardial impedance measured at any time; for example, t is the 7200th second of a certain day, is 300s, then The moment is the myocardial impedance at the 6900th second; Norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at the moment t, is the patient's resting heart rate;

[0069] The cloud calls the patient's medical records in the medical record database. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm: = Z× ;

[0070] in, It is the baseline value of the patient's breathing, obtained at the first follow-up after surgery; It is the real-time respiratory amplitude, calculated by chest wall impedance fluctuations collected synchronously by fixed electrodes;

[0071] Determine myocardial impedance fluctuation rate through the cloud Z or Is it within the preset range (assuming: -0.015Ω / s to 0.015Ω / s, you can If not, no action is taken. If yes, a warning is issued and a warning message is issued to the forwarding device through the third data transmission module.

[0072] Determine the fluctuation rate of any two consecutive myocardial impedances in the cloud Z or any two consecutive respiratory corrected myocardial impedance fluctuation rates Whether the slope exceeds a preset value (assuming it is 0.15), if not, no action is taken; if so, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

[0073] The patient's baseline value of breathing Updates were made when the patient came to the hospital for follow-up.

[0074] Said Obtain the patient's medical records by calling the medical records database in the cloud. If there is no record in the medical records, , then Set to 60.

[0075] If the patient's HR (t) is greater than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range will be automatically adjusted up by 20%.

[0076] If the patient's HR (t) is less than 100 beats / min and lasts for more than 10 minutes, the maximum value of the preset range will be restored to the original value.

[0077] If the patient's HR (t) is less than 50 beats / min and lasts for more than 10 minutes, the maximum value of the preset range is adjusted downward.

[0078] Said The value is 300.

[0079] The forwarding device is a mobile phone and / or an electronic watch.

[0080] The controller detects the battery power through the circuit board, and if the battery power is lower than a preset value, sends a low-power reminder to the second data transmission module through the first data transmission module.

[0081] Embodiment 2

[0082] A remote processing system for cardiac pacemaker postoperative follow-up data, comprising a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;

[0083] The fixed electrode is implanted in the patient's body, the pacemaker includes a battery and a circuit board, and the circuit board is provided with a first data transmission module and a controller; the battery is connected to the pacemaker through the circuit board and the pacing electrode lead, and the controller obtains real-time measurement of myocardial impedance through the fixed electrode;

[0084] The forwarding device includes a second data transmission module;

[0085] The cloud has a third data transmission module and a medical record library; the first data transmission module is data-connected with the third data transmission module through the second data transmission module; the cloud records the measured myocardial impedance uploaded by the first data transmission module into the patient's corresponding medical record;

[0086] The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:

[0087] Z= ×Norm(HR(t));Norm(HR(t))= ;

[0088] The heart rate normalization factor converts the heart rate (beats / minute) into heart beats (seconds / beat). Here we assume that =60;

[0089] Resting HR = 60 beats / min → heart rate = 1 second / beat → Norm = 1;

[0090] Exercise HR = 120 beats / min → heart rate = 2 seconds / beat → Norm = 2;

[0091] Myocardial impedance fluctuation rate Z is converted from the existing "absolute time dimension" to the "heartbeat cycle dimension", removing the interference of heart rate changes on impedance;

[0092] For example: When exercising, the heart rate HR increases. The value of Z will decrease (the number of heartbeats per unit time is high, the heart ejects more blood, the myocardial blood volume increases, and the myocardial impedance measured by the electrode decreases (blood is a good conductor, and impedance is negatively correlated with blood volume)). The increase in the Norm factor can avoid the impact of a shortened heartbeat cycle (equivalent to a hedging method, after hedging Z are similar), so that Z is comparable and avoids the unilateral influence of heart rate HR, which makes it difficult for the cloud to determine whether electrode dislocation or exercise has occurred, and easily triggers unnecessary clinical intervention.

[0093] in, is the myocardial impedance at time t obtained by the fixed electrode, is the time window; is the myocardial impedance measured by the reverse time difference, i.e. Myocardial impedance measured at any time; for example, t is the 7200th second of a certain day, is 180s, then The moment is the myocardial impedance at the 7020th second; Norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at the moment t, is the patient's resting heart rate;

[0094] The cloud calls the patient's medical records in the medical record database. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm: = Z× ;

[0095] in, It is the baseline value of the patient's breathing, obtained at the first follow-up after surgery; It is the real-time respiratory amplitude, calculated by chest wall impedance fluctuations collected synchronously by fixed electrodes;

[0096] Determine myocardial impedance fluctuation rate through the cloud Z or Is it within the preset range (assuming: -0.025Ω / s to 0.025Ω / s, you can If not, no action is taken. If yes, a warning is issued and a warning message is issued to the forwarding device through the third data transmission module.

[0097] The patient's baseline value of breathing Updates were made when the patient came to the hospital for follow-up.

[0098] Said Obtain the patient's medical records by calling the medical records database in the cloud. If there is no record in the medical records, , then Set to 60.

[0099] If the patient's HR (t) is greater than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range will be automatically adjusted up by 20%.

[0100] If the patient's HR (t) is less than 100 beats / min and lasts for more than 10 minutes, the maximum value of the preset range will be restored to the original value.

[0101] If the patient's HR (t) is less than 50 beats / min and lasts for more than 10 minutes, the maximum value of the preset range is adjusted downward.

[0102] The forwarding device is a mobile phone and / or an electronic watch.

[0103] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A remote processing system for follow-up data after cardiac pacemaker surgery, characterized in that: Including pacemaker, pacing electrode lead, fixed electrode, repeater and cloud; The fixed electrode is implanted in the patient's body, the pacemaker includes a battery and a circuit board, and the circuit board is provided with a first data transmission module and a controller; the battery is connected to the pacemaker through the circuit board and the pacing electrode lead, and the controller obtains real-time measurement of myocardial impedance through the fixed electrode; The forwarding device includes a second data transmission module; The cloud has a third data transmission module and a medical record library; the first data transmission module is data-connected with the third data transmission module through the second data transmission module; the cloud records the measured myocardial impedance uploaded by the first data transmission module into the patient's corresponding medical record; The cloud establishes myocardial impedance fluctuation rate Z detection algorithm: Z= ×Norm(HR(t));Norm(HR(t))= ; in, is the myocardial impedance at time t obtained by the fixed electrode, is the time window; is the myocardial impedance measured by the reverse time difference, i.e. Myocardial impedance measured at all times; Norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at time t, is the patient's resting heart rate; The cloud calls the patient's medical records in the medical record database. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm: = Z× ; in, It is the baseline value of the patient's breathing, obtained at the first follow-up after surgery; It is the real-time respiratory amplitude, calculated by chest wall impedance fluctuations collected synchronously by fixed electrodes; Determine myocardial impedance fluctuation rate in the cloud Z or respiratory corrected myocardial impedance fluctuation rate Whether the activity is within the preset range, if so, no action is taken, if not, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

2. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 1, characterized in that: Determine the fluctuation rate of any two consecutive myocardial impedances in the cloud Z or any two consecutive respiratory corrected myocardial impedance fluctuation rates Whether the slope exceeds the preset value, if not, no action is taken; if so, a warning is issued, and a warning message is sent to the forwarding device through the third data transmission module.

3. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 1, characterized in that: The patient's baseline value of breathing Updates were made when the patient visited the hospital for follow-up.

4. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 3, characterized in that: Said Obtain the patient's medical records by calling the medical records database in the cloud. If there is no record in the medical records, , then Set to 60.

5. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 1, characterized in that: If the patient's HR (t) is greater than 100 beats / minute and lasts for more than 10 minutes, the maximum value of the preset range will be automatically adjusted up by 20%.

6. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 5, characterized in that: If the patient's HR (t) is less than 100 beats / min and lasts for more than 10 minutes, the maximum value of the preset range will be restored to the original value.

7. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 1, characterized in that: If the patient's HR (t) is less than 50 beats / min and lasts for more than 10 minutes, the maximum value of the preset range is adjusted downward.

8. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 1, characterized in that: Said The value is 300.

9. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 1, characterized in that: The forwarding device is a mobile phone and / or an electronic watch.

10. The remote processing system for cardiac pacemaker postoperative follow-up data according to claim 9, characterized in that: The controller detects the battery power through the circuit board, and if the battery power is lower than a preset value, sends a low-power reminder to the second data transmission module through the first data transmission module.

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