A remote processing system for follow-up data after cardiac pacemaker implantation

Abstract

The present invention relates to the technical field of medical data processing, and particularly relates to a remote processing system for follow-up data after cardiac pacemaker implantation, including a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device, and a cloud; the fixed electrode acquires the myocardium impedance measured in real time; the cloud has a medical record library; the cloud records the measured myocardium impedance uploaded by the fixed electrode through the forwarding device into the medical record corresponding to the patient; the cloud establishes a detection algorithm for myocardial impedance volatility, and if the patient has emphysema, the cloud establishes a respiration-corrected myocardial impedance volatility detection algorithm; the cloud determines whether the myocardial impedance volatility or the respiration-corrected myocardial impedance volatility is within a preset range; by converting the myocardial impedance volatility into the heartbeat cycle dimension, the present invention introduces a heart rate normalization factor to strip the interference of heart rate changes on the impedance, avoids the influence of shortened heartbeat cycles, makes different heart rates comparable, and introduces the respiration-corrected myocardial impedance volatility to restore the true myocardial impedance changes.

Description

Technical Field

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

[0002] A pacemaker actually refers to the entire pacing system. The pacing system consists of a pacemaker, pacing electrode leads, and a programmer. Among them, the pacemaker and pacing electrode leads are implanted into the human body. The pacemaker is composed 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 lead is composed of insulated wires and is responsible for transmitting tiny electrical pulses to the heart to stimulate the heart to beat.

[0003] Currently, there is a probability of electrode dislocation after the fixation of pacemaker electrodes in clinical practice. After electrode dislocation, the risk of cardiac arrest in patients increases, and patients need to return to the intervention room to adjust the electrode position. However, in the prior art, for the follow-up after cardiac pacemaker implantation, generally, follow-up visits to the hospital are required at one month, three months, six months, and one year. Once electrode dislocation occurs during the follow-up interval period, the electrode dislocation leads to an increase in pacing threshold, attenuation of sensing function, and over-pacing, and even leads to pacing failure, easily missing the best treatment time. Therefore, a remote processing system for follow-up data after cardiac pacemaker implantation that can detect electrode dislocation in advance to ensure patient safety is needed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a remote processing system for follow-up data after cardiac pacemaker implantation that can detect electrode dislocation in advance to ensure patient safety.

[0005] To solve the above technical problem, the technical solution adopted by the present invention is:

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

[0007] The fixed electrodes are implanted into the patient's body. The pacemaker includes a battery and a circuit board. 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 leads. The controller obtains the real-time measured myocardial impedance through the fixed electrodes;

[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 to 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 medical record corresponding to the patient;

[0010] The cloud establishes the myocardial impedance volatility Z detection algorithm:

[0011] Z = ×Norm(HR(t)); Norm(HR(t)) = ;

[0012] Wherein, 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, that is, the myocardial impedance measured at time; 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 record in the medical record library. If the patient has emphysema, the cloud establishes a respiratory corrected myocardial impedance volatility detection algorithm: = Z × ;

[0014] Wherein, is the baseline value of the patient's respiration, obtained at the first follow-up after the patient's operation; is the real-time respiratory amplitude, calculated by the chest wall impedance fluctuation synchronously collected by the fixed electrode;

[0015] The cloud judges whether the myocardial impedance volatility Z or is within the preset range. If so, no action is taken. If not, a warning is issued, and at the same time, a warning message is sent to the forwarding device through the third data transmission module.

[0016] Preferably, the cloud judges any two consecutive myocardial impedance volatilities Z or any two consecutive respiratory corrected myocardial impedance volatilities Whether the slope exceeds the preset value. If not, no action is taken. If so, a warning is issued, and at the same time, a warning message is sent to the forwarding device through the third data transmission module.

[0017] Preferably, the baseline value of the patient's respiration is updated when the patient goes to the hospital for follow-up.

[0018] Preferably, the is obtained by the cloud calling the patient's medical record in the medical record library. If there is no record in the medical record , then is set to 60.

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

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

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

[0022] Preferably, the value is 300.

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

[0024] Preferably, the controller detects the battery power through a circuit board. If the battery power is lower than the preset value, a reminder of insufficient power is sent to the second data transmission module through the first data transmission module.

[0025] The beneficial effects of the present invention are as follows: By establishing a myocardial impedance volatility detection algorithm in the cloud, the myocardial impedance volatility is converted from the existing absolute time dimension to the heartbeat cycle dimension. At the same time, a heart rate normalization factor is introduced to strip the interference of heart rate changes on impedance, avoid the influence of shortened heartbeat cycles, and make it comparable under different heart rates. Also, it avoids unnecessary clinical interventions triggered by the influence of exercise. Further, a respiratory correction of myocardial impedance volatility is introduced. Since the lung impedance decreases due to the increased gas content in the lung tissue of patients with emphysema, the thoracic impedance near the right ventricle where the fixed electrode is located is "diluted" and also decreases. Therefore, correction is needed, and the greater the respiratory amplitude, the greater the influence on Z. The true myocardial impedance change is restored through inverse proportional scaling. If the pacemaker needs to perform operations such as real-time sending to the cloud and local storage, the battery cannot support it. Therefore, through the remote communication between the forwarding device and the cloud, the load is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0027] Reference numerals: 1, patient; 2, pacemaker; 3, pacing electrode lead; 4, forwarding device; 5, cloud. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] To describe in detail the technical content, achieved objectives and effects of the present invention, the following is described in conjunction with the embodiments and with reference to the accompanying drawings.

[0029] Please refer toFigure 1 , a remote processing system for follow-up data after cardiac pacemaker implantation, 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 into the body of the patient 1. The pacemaker includes a battery and a circuit board. 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 lead, and the controller obtains the real-time measured 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 to 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 medical record corresponding to the patient;

[0033] The cloud establishes a myocardial impedance volatility Z detection algorithm:

[0034] Z = ×Norm(HR(t)); Norm(HR(t)) = ;

[0035] Wherein, 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, that is, the myocardial impedance measured at time; 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 record in the medical record library. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance volatility detection algorithm: = Z × ;

[0037] Wherein, is the baseline value of the patient's respiration, which is obtained at the first follow-up after the patient's operation; is the real-time respiratory amplitude, which is calculated by the chest wall impedance fluctuation synchronously collected by the fixed electrode;

[0038] The cloud judges the myocardial impedance volatility 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 real 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] As can be seen from the above description, by automatically increasing the maximum value of the preset range, it is possible to avoid an overly conservative strategy during exercise that triggers an alarm.

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

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

[0050] As can be seen from the above description, if the patient's HR(t) is less than 50 beats per minute, it is considered that the patient has been bedridden for a long time, avoiding bradycardia from masking impedance abnormalities.

[0051] Furthermore, the value is 300.

[0052] As can be seen from the above description, by taking the value of 300, that is, 300 seconds, 5 minutes, generally 5 minutes as a cycle will neither cause overly frequent detection nor fail to ensure a long enough time for a cycle to detect whether there is a problem with the myocardial impedance volatility. If it is too short, it is prone to detection errors or being overly sensitive.

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

[0054] As can be seen from the above description, by using a mobile phone and / or a smartwatch, since mobile phones and smartwatches 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 a circuit board. If the battery power is lower than the preset value, a power shortage reminder is sent to the second data transmission module through the first data transmission module.

[0056] Embodiment 1

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

[0058] The fixed electrode is implanted into the patient's body. The pacemaker includes a battery and a circuit board, and a first data transmission module and a controller are provided on the circuit board; the battery is connected to the pacemaker through the circuit board and the pacing electrode lead, and the controller obtains the real-time measured 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 to 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 medical record corresponding to the patient;

[0061] The cloud establishes a myocardial impedance volatility Z detection algorithm:

[0062] Z = ×Norm(HR(t)); Norm(HR(t)) = ;

[0063] The heart rate normalization factor converts the heart rate (beats per minute) into the heart beat cycle (seconds per beat). Here, it is first assumed that = 60;

[0064] Resting HR = 60 beats per minute → Heart beat cycle = 1 second per beat → Norm = 1;

[0065] Exercise HR = 120 beats per minute → Heart beat cycle = 2 seconds per beat → Norm = 2;

[0066] Convert the myocardial impedance volatility Z from the existing "absolute time dimension" to the "heart beat cycle dimension", stripping the interference of heart rate changes on impedance;

[0067] For example: when exercising, the heart rate HR(t) increases, and the value of ΔZ will decrease (more heart beats per unit time, increased cardiac ejection, increased myocardial blood volume, and decreased myocardial impedance measured by the electrode (blood is a good conductor, impedance is negatively correlated with blood volume)). By increasing the Norm factor, the influence of the shortened heart beat cycle is avoided (equivalent to a hedging method, and the ΔZ after hedging is similar), so that ΔZ at different heart rates is comparable, and the influence of the single factor of heart rate HR is avoided, making it difficult for the cloud to judge whether it is electrode dislocation or the influence of exercise, and easily triggering unnecessary clinical interventions.

[0068] Among them, 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, that is, the myocardial impedance measured at the moment; for example, t is the moment of the 7200s of a certain day, is 300s, then the moment is the myocardial impedance at the 6900s; Norm(HR(t)) is the heart rate normalization factor, HR(t) is the heart rate at time t, is the resting heart rate of the patient;

[0069] The cloud retrieves the patient's medical record in the medical record library. If the patient has emphysema, the cloud establishes the respiratory-corrected myocardial impedance volatility Detection algorithm: = Z× ;

[0070] Wherein, is the baseline value of the patient's respiration, which is obtained during the patient's first follow-up after surgery; is the real-time respiratory amplitude, which is calculated from the impedance fluctuations of the chest wall synchronously collected by fixed electrodes;

[0071] The cloud determines whether the myocardial impedance volatility Z or is within a preset range (assumed to be: -0.015 Ω / s to 0.015 Ω / s, which can be adjusted according to the selected period). If not, it does not act. If so, it issues a warning and simultaneously sends a warning message to the forwarding device through the third data transmission module.

[0072] The cloud determines whether the slope of any two consecutive myocardial impedance volatilities Z or any two consecutive respiratory-corrected myocardial impedance volatilities exceeds a preset value (assumed to be 0.15). If not, it does not act. If so, it issues a warning and simultaneously sends a warning message to the forwarding device through the third data transmission module.

[0073] The baseline value of the patient's respiration is updated when the patient goes to the hospital for follow-up.

[0074] The is obtained by the cloud retrieving the patient's medical record in the medical record library. If there is no record in the medical record, then is set to 60.

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

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

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

[0078] The takes a value of 300.

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

[0080] The controller detects the battery power through a circuit board. If the battery power is lower than a preset value, a reminder of insufficient power is sent to the second data transmission module through the first data transmission module.

[0081] Embodiment 2

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

[0083] The fixed electrode is implanted into the patient's body. The pacemaker includes a battery and a circuit board. 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 the myocardial impedance measured in real time 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 to 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 medical record corresponding to the patient;

[0086] The cloud establishes a myocardial impedance volatility Z detection algorithm:

[0087] Z = ×Norm(HR(t)); Norm(HR(t)) = ;

[0088] The heart rate normalization factor converts the heart rate (beats per minute) into a heart beat cycle (seconds per beat). Here, it is first assumed that = 60;

[0089] Resting HR = 60 beats per minute → Heart beat cycle = 1 second per beat → Norm = 1;

[0090] Exercise HR = 120 beats per minute → Heart beat cycle = 2 seconds per beat → Norm = 2;

[0091] Convert the myocardial impedance volatility Z from the existing "absolute time dimension" to the "heart beat cycle dimension", stripping the interference of heart rate changes on impedance;

[0092] For example: when exercising, the heart rate HR rises, The value of Z will decrease (the number of heartbeats per unit time is high, cardiac ejection increases, myocardial blood volume rises, and the myocardial impedance measured by the electrode decreases (blood is a good conductor, and impedance is negatively correlated with blood volume)). By increasing the Norm factor, the influence of the shortened heartbeat cycle is avoided (which is a hedging method. After hedging, the Z values are similar), and then the Z values at different heart rates are made comparable, avoiding the influence of the single factor of heart rate HR, which makes it difficult for the cloud to determine whether it is electrode dislocation or the influence of movement, and easily triggers unnecessary clinical interventions.

[0093] Among them, 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, that is, the myocardial impedance measured at time ; for example, if t is the 7200s of a certain day, is 180s, then is the myocardial impedance at the 7020s; Norm(HR(t)) is the heart rate normalization factor, HR(t) is the heart rate at time t,

[0094] The cloud calls the patient's medical record in the medical record library. If the patient has emphysema, the cloud establishes a respiratory correction myocardial impedance volatility detection algorithm: = Z× ;

[0095] Among them, is the baseline value of the patient's respiration, which is obtained during the patient's first follow-up after surgery; is the real-time respiratory amplitude, which is calculated by the chest wall impedance fluctuation synchronously collected by the fixed electrode;

[0096] The cloud judges whether the myocardial impedance volatility Z or is within the preset range (assumed to be: -0.025Ω / s to 0.025Ω / s, which can be adjusted according to the selected period). If not, it does not act. If so, it issues a warning and simultaneously sends a warning message to the forwarding device through the third data transmission module.

[0097] The baseline value of the patient's respiration is updated when the patient goes to the hospital for follow-up.

[0098] The is obtained by the cloud calling the patient's medical record in the medical record library. If there is no record in the medical record , then is set to 60.

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

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

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

[0102] The forwarding device is a mobile phone and / or a smartwatch.

[0103] The above are only embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in related technical fields, shall be equally 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 came to 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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