CN119896814B - Remote processing system for postoperative follow-up data of cardiac pacemaker - Google Patents
Remote processing system for postoperative follow-up data of cardiac pacemaker Download PDFInfo
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- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
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- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/372—Arrangements in connection with the implantation of stimulators
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Abstract
The invention relates to the technical field of medical data processing, in particular to a remote processing system for postoperative follow-up data of a cardiac pacemaker, which comprises a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud, wherein the fixed electrode acquires myocardial impedance measured in real time, the cloud is provided with a medical record library, the cloud records the measured myocardial impedance uploaded by the fixed electrode through the forwarding device into medical records corresponding to a patient, a detection algorithm for myocardial impedance fluctuation rate is established by the cloud, if the patient has emphysema, a detection algorithm for respiratory correction myocardial impedance fluctuation rate is established by the cloud, whether the myocardial impedance fluctuation rate or respiratory correction myocardial impedance fluctuation rate is active in a preset range is judged by the cloud, and the interference of heart rate normalization factor stripping heart rate change to impedance is introduced by converting the myocardial impedance fluctuation rate into heart beat period dimension, so that the influence of heart rate reduction is avoided, the different heart rate has comparability, and the respiratory correction myocardial impedance fluctuation rate is introduced to restore the real myocardial impedance change.
Description
Technical Field
The invention relates to the technical field of medical data processing, in particular to a remote processing system for postoperative follow-up data of a cardiac pacemaker.
Background
Pacemaker, in essence, refers to the entire pacing system. The pacing system consists of a pacemaker, a pacing electrode lead and a program control instrument. Wherein the pacemaker and pacing electrode lead are implanted in the human body. The pacemaker consists of a circuit and a battery mounted in a metal case. The pacemaker sends tiny electric pulse to the heart when needed, and the pacing electrode lead consists of an insulating lead and is responsible for transmitting tiny electric pulse to the heart to stimulate the heart to beat.
At present, the probability of electrode dislocation exists after the pacemaker electrode is fixed clinically, the risk of sudden cardiac arrest of a patient is increased after the electrode dislocation, and the patient needs to return to an intervention room again to adjust the electrode position. However, in the prior art, the postoperative follow-up visit of the cardiac pacemaker generally needs to be carried out to a hospital for one month, three months, half a year and one year, and once electrode dislocation occurs between interval periods of follow-up, the electrode dislocation leads to the increase of a pacing threshold value, the attenuation of a sensing function and excessive pacing, even leads to pacing failure, and the optimal treatment time is easy to miss, so that a remote processing system for postoperative follow-up data of the cardiac pacemaker, which can find the electrode dislocation in advance to ensure the safety of a patient, is needed.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a remote processing system for post-cardiac pacemaker post-operation follow-up data, which can discover electrode dislocation in advance to ensure patient safety.
In order to solve the technical problems, the invention adopts the following technical scheme:
a cardiac pacemaker postoperative follow-up data remote processing system comprises a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;
The fixed electrode is implanted into the body of a patient, the pacemaker comprises a battery and a circuit board, a first data transmission module and a controller are arranged on the circuit board, the battery is connected with the pacemaker through the circuit board, a pacing electrode lead wire and the pacemaker, and the controller obtains the myocardial impedance measured in real time through the fixed electrode;
the forwarding device comprises a second data transmission module;
the cloud end is provided with a third data transmission module and a medical record library, wherein the first data transmission module is in data connection with the third data transmission module through the second data transmission module;
The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:
Z=×Norm(HR(t));Norm(HR(t))=;
Wherein, For the myocardial impedance at time t acquired by the fixed electrode,Is a time window; Myocardial impedance measured for reverse time difference, i.e Myocardial impedance measured at time, norm (HR (t)) is heart rate normalization factor, HR (t) is heart rate at time t,A resting heart rate for the patient;
the cloud end calls patient medical records in the medical record library, and if the patient has emphysema, the cloud end establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm:=Z×;
Wherein, A baseline value for patient respiration, obtained at a first follow-up visit after patient surgery; for real-time respiratory amplitude, chest wall impedance fluctuation calculation is synchronously acquired through a fixed electrode;
Cloud end judgment of myocardial impedance fluctuation rate Z orIf the data is active within the preset range, the data is not active, if the data is not active, a warning is sent out, and meanwhile warning information is sent out to the forwarding device through the third data transmission module.
Preferably, the cloud judges any two continuous myocardial impedance fluctuation ratesZ or any two consecutive respiration corrected myocardial impedance fluctuation ratesIf not, if yes, sending out a warning, and simultaneously sending out warning information to the forwarding device through the third data transmission module.
Preferably, the baseline value of the patient's breathUpdates are made at the time of patient visits to the hospital.
Preferably, the saidThe patient medical records in the medical record library are called through the cloud to obtain the medical records, if no record exists in the medical recordsWill thenSet to 60.
Preferably, if the patient HR (t) is greater than 100 times/min for more than 10 minutes, the maximum value of the preset range is automatically up-regulated by 20%.
Preferably, if the patient HR (t) is less than 100 times/min for more than 10 minutes, the maximum value of the preset range is restored to the original value.
Preferably, if the patient HR (t) is less than 50 times/min for more than 10 minutes, the maximum value of the preset range is down-regulated.
Preferably, the saidThe value is 300.
Preferably, the forwarding device is a mobile phone and/or an electronic watch.
Preferably, the controller detects the battery power through the circuit board, and if the battery power is lower than a preset value, the controller sends a warning of power shortage to the second data transmission module through the first data transmission module.
The invention has the advantages that the myocardial impedance fluctuation rate detection algorithm is established through the cloud, the myocardial impedance fluctuation rate is converted from the existing absolute time dimension to the heartbeat period dimension, the heart rate normalization factor is introduced to peel off the interference of heart rate variation on the impedance, the influence of the heart rate shortening is avoided, the comparability under different heart rates is further realized, the influence of motion is avoided, unnecessary clinical intervention is triggered, and the respiratory correction myocardial impedance fluctuation rate is further introduced, and the pulmonary impedance is reduced due to the reduction of the pulmonary impedance caused by the rise of the air content of the pulmonary tissue of a emphysema patient, so that the thoracic impedance near the right ventricle of the fixed electrode is diluted, the correction is needed, and the respiratory amplitude is larger, and the respiratory disturbance is avoidedThe greater the effect of Z, the more true myocardial impedance changes are restored by inverse scaling. If the pacemaker is required to be operated, such as sending to the cloud in real time, storing locally and the like, the battery cannot be supported, so that the load is reduced through remote communication between the forwarding device and the cloud.
Drawings
Fig. 1 is a schematic structural diagram of a remote processing system for post-operation follow-up data of a cardiac pacemaker according to the present invention;
The reference numerals indicate 1, a patient, 2, a pacemaker, 3, a pacing electrode lead, 4, a forwarding device, 5 and a cloud.
Detailed Description
In order to describe the technical contents, the achieved objects and effects of the present invention in detail, the following description will be made with reference to the embodiments in conjunction with the accompanying drawings.
Referring to fig. 1, a cardiac pacemaker postoperative follow-up data remote processing system includes a pacemaker 2, a pacing electrode lead 3, a fixed electrode, a forwarding device 4 and a cloud 5;
The fixed electrode is implanted into the body of the patient 1, the pacemaker comprises a battery and a circuit board, a first data transmission module and a controller are arranged on the circuit board, the battery is connected with the pacemaker through a circuit board, a pacing electrode lead, and the controller obtains the myocardial impedance measured in real time through the fixed electrode;
the forwarding device comprises a second data transmission module;
the cloud end is provided with a third data transmission module and a medical record library, wherein the first data transmission module is in data connection with the third data transmission module through the second data transmission module;
The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:
Z=×Norm(HR(t));Norm(HR(t))=;
Wherein, For the myocardial impedance at time t acquired by the fixed electrode,Is a time window; Myocardial impedance measured for reverse time difference, i.e Myocardial impedance measured at time, norm (HR (t)) is heart rate normalization factor, HR (t) is heart rate at time t,A resting heart rate for the patient;
the cloud end calls patient medical records in the medical record library, and if the patient has emphysema, the cloud end establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm:=Z×;
Wherein, A baseline value for patient respiration, obtained at a first follow-up visit after patient surgery; for real-time respiratory amplitude, chest wall impedance fluctuation calculation is synchronously acquired through a fixed electrode;
Cloud end judgment of myocardial impedance fluctuation rate Z orIf the data is active within the preset range, the data is not active, if the data is not active, a warning is sent out, and meanwhile warning information is sent out to the forwarding device through the third data transmission module.
From the above description, it can be seen that by establishing a myocardial impedance fluctuation rate detection algorithm through cloud, the myocardial impedance fluctuation rate is converted from the existing absolute time dimension to the heartbeat cycle dimension, and simultaneously, a heart rate normalization factor is introduced to peel off the interference of heart rate variation on the impedance, so as to avoid the influence of shortening the heartbeat cycle, and further, the influence of different heart rates is comparable, unnecessary clinical intervention is triggered due to the influence of motion, and simultaneously, a respiratory correction myocardial impedance fluctuation rate is further introduced, and the pulmonary impedance is reduced due to the reduction of the pulmonary impedance caused by the increase of the air content of pulmonary tissue of a emphysema patient, so that the thoracic impedance near the right ventricle of the fixed electrode is diluted, and the correction is required, and the respiratory amplitude is larger, so that the heart rate is improvedThe greater the effect of Z, the more true myocardial impedance changes are restored by inverse scaling.
Further, the cloud judges any two continuous myocardial impedance fluctuation ratesZ or any two consecutive respiration corrected myocardial impedance fluctuation ratesIf not, if yes, sending out a warning, and simultaneously sending out warning information to the forwarding device through the third data transmission module.
From the above description, it is known that by making a judgment of the slope, since the electrode is dislocated without falling down, it is a process that if the slope exceeds a preset value, it means that the fixed electrode may be displaced.
Further, the baseline value of the patient's breathUpdates are made at the time of patient visits to the hospital.
From the above description, it is known that the lung impedance decreases year by year due to the progress of emphysema, or emphysema changes with treatment, and thus periodic update is also required.
Further, the saidThe patient medical records in the medical record library are called through the cloud to obtain the medical records, if no record exists in the medical recordsWill thenSet to 60.
From the above description, by callingIndividuation of data processing can be guaranteed, but if not, the data is directly set according to the common standard 60, and the monitoring effect is guaranteed.
Further, if the patient HR (t) is greater than 100 times/min for more than 10 minutes, the maximum value of the preset range is automatically up-regulated by 20%.
From the above description, it can be seen that by automatically up-regulating the maximum value of the preset range, an alarm can be prevented from being triggered by an excessively conservative strategy during exercise.
Further, if the patient HR (t) is less than 100 times/min and lasts for 10 minutes or more, the maximum value of the preset range is restored to the original value.
Further, if the patient HR (t) is less than 50 times/min for more than 10 minutes, the maximum value of the preset range is down-regulated.
From the above description, it is seen that by patients having HR (t) less than 50 times/min, the patient is considered to be bedridden for a long period of time, avoiding bradycardia to mask impedance anomalies.
Further, the saidThe value is 300.
From the above description, it is apparent that byThe value is 300, namely 300 seconds and 5 minutes, and the detection is not excessively frequent in a period of usually 5 minutes, and whether the myocardial impedance fluctuation rate is detected for one period for a long enough time is problematic or not can be ensured, so that the detection error or the excessive sensitivity is easy to occur due to the fact that the detection is too short.
Further, the forwarding device is a mobile phone and/or an electronic watch.
From the above description, it is known that by using a mobile phone and/or an electronic watch, since the mobile phone and the electronic watch are very popular devices, a warning can be conveniently prompted to a patient through the mobile phone or the bracelet.
Further, the controller detects the battery power through the circuit board, and if the battery power is lower than a preset value, the controller sends out a warning of insufficient power to the second data transmission module through the first data transmission module.
Example 1
A cardiac pacemaker postoperative follow-up data remote processing system comprises a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;
The fixed electrode is implanted into the body of a patient, the pacemaker comprises a battery and a circuit board, a first data transmission module and a controller are arranged on the circuit board, the battery is connected with the pacemaker through the circuit board, a pacing electrode lead wire and the pacemaker, and the controller obtains the myocardial impedance measured in real time through the fixed electrode;
the forwarding device comprises a second data transmission module;
the cloud end is provided with a third data transmission module and a medical record library, wherein the first data transmission module is in data connection with the third data transmission module through the second data transmission module;
The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:
Z=×Norm(HR(t));Norm(HR(t))=;
the heart rate normalization factor converts heart rate (beats/min) to heart cycle (seconds/beats), here first assumed =60;
Rest hr=60 beats/min→heartbeat period = 1 second/time → Norm = 1;
Motion hr=120 beats/min→heart cycle=2 seconds/beat→norm=2;
Impedance fluctuation rate of cardiac muscle Z is converted from the existing 'absolute time dimension' to the 'heartbeat period dimension', and the interference of heart rate variation on impedance is stripped;
For example, when the heart rate HR (t) rises during exercise, the value of DeltaZ can be reduced (the heart rate is increased in unit time, the heart ejection is increased, the myocardial blood volume is increased, the myocardial impedance measured by the electrodes is reduced (blood is a good conductor, and the impedance is inversely related to the blood volume)), the influence of the shortening of the heart cycle is avoided by the rise of the Norm factor (the method is equivalent to a hedging means, and the DeltaZ after hedging is similar), so that the DeltaZ under different heart rates has comparability, and the influence of a single factor of the heart rate HR is avoided, so that the cloud is difficult to judge whether the electrode dislocation or the movement is caused, and unnecessary clinical intervention is easily triggered.
Wherein, For the myocardial impedance at time t acquired by the fixed electrode,Is a time window; Myocardial impedance measured for reverse time difference, i.e Myocardial impedance measured at time, e.g. t is the time of 7200s of a day,300S, thenThe time is the myocardial impedance at 6900s, norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at time t,A resting heart rate for the patient;
the cloud end calls patient medical records in the medical record library, and if the patient has emphysema, the cloud end establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm:=Z×;
Wherein, A baseline value for patient respiration, obtained at a first follow-up visit after patient surgery; for real-time respiratory amplitude, chest wall impedance fluctuation calculation is synchronously acquired through a fixed electrode;
Cloud end judgment of myocardial impedance fluctuation rate Z orWhether or not (assumed to be-0.015. OMEGA/s to 0.015. OMEGA/s) is within a predetermined range, may be based onAnd (3) adjusting the selected period of the data transmission module), if not, sending out a warning, and sending out warning information to the forwarding device through the third data transmission module.
Cloud end judging arbitrary continuous two myocardial impedance fluctuation ratesZ or any two consecutive respiration corrected myocardial impedance fluctuation ratesIf the slope of the (a) exceeds the preset value (0.15 is assumed), if not, a warning is sent out, and meanwhile, a warning message is sent out to the forwarding device through the third data transmission module.
Baseline value of the patient's breathUpdates are made at the time of patient visits to the hospital.
The saidThe patient medical records in the medical record library are called through the cloud to obtain the medical records, if no record exists in the medical recordsWill thenSet to 60.
If the patient HR (t) is greater than 100 times/min for more than 10 minutes, the maximum value of the preset range is automatically up-regulated by 20%.
If the patient HR (t) is less than 100 times/min and lasts for more than 10 minutes, the maximum value of the preset range is restored to the original value.
If the patient HR (t) is less than 50 times/min for more than 10 minutes, the maximum value of the preset range is down-regulated.
The saidThe value is 300.
The forwarding device is a mobile phone and/or an electronic watch.
The controller detects the battery electric quantity through the circuit board, and if the battery electric quantity is lower than a preset value, the controller sends out a warning of insufficient electric quantity to the second data transmission module through the first data transmission module.
Example two
A cardiac pacemaker postoperative follow-up data remote processing system comprises a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;
The fixed electrode is implanted into the body of a patient, the pacemaker comprises a battery and a circuit board, a first data transmission module and a controller are arranged on the circuit board, the battery is connected with the pacemaker through the circuit board, a pacing electrode lead wire and the pacemaker, and the controller obtains the myocardial impedance measured in real time through the fixed electrode;
the forwarding device comprises a second data transmission module;
the cloud end is provided with a third data transmission module and a medical record library, wherein the first data transmission module is in data connection with the third data transmission module through the second data transmission module;
The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:
Z=×Norm(HR(t));Norm(HR(t))=;
the heart rate normalization factor converts heart rate (beats/min) to heart cycle (seconds/beats), here first assumed =60;
Rest hr=60 beats/min→heartbeat period = 1 second/time → Norm = 1;
Motion hr=120 beats/min→heart cycle=2 seconds/beat→norm=2;
Impedance fluctuation rate of cardiac muscle Z is converted from the existing 'absolute time dimension' to the 'heartbeat period dimension', and the interference of heart rate variation on impedance is stripped;
For example the heart rate HR rises during exercise, The value of Z decreases (the number of heartbeats per unit time increases, the cardiac ejection increases, the myocardial blood volume increases, the myocardial impedance measured by the electrode decreases (blood is a good conductor, impedance is inversely related to blood volume)), and the influence of the reduction of the heart beat cycle is avoided by the increase of the Norm factor (the method is equivalent to an opposite-impact method, and the method is after opposite-impact)Z are all similar), thereby allowing for different heart ratesZ is comparable, so that the influence of electrode dislocation or movement is difficult to judge by the cloud end due to the influence of single factors of heart rate HR, and unnecessary clinical intervention is easy to trigger.
Wherein, For the myocardial impedance at time t acquired by the fixed electrode,Is a time window; Myocardial impedance measured for reverse time difference, i.e Myocardial impedance measured at time, e.g. t is the time of 7200s of a day,180S, thenThe time is the myocardial impedance at 7020s, norm (HR (t)) is the heart rate normalization factor, HR (t) is the heart rate at time t,A resting heart rate for the patient;
the cloud end calls patient medical records in the medical record library, and if the patient has emphysema, the cloud end establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm:=Z×;
Wherein, A baseline value for patient respiration, obtained at a first follow-up visit after patient surgery; for real-time respiratory amplitude, chest wall impedance fluctuation calculation is synchronously acquired through a fixed electrode;
Cloud end judgment of myocardial impedance fluctuation rate Z orWhether or not (assuming that-0.025. OMEGA/s to 0.025. OMEGA/s) is within a predetermined range may be based onAnd (3) adjusting the selected period of the data transmission module), if not, sending out a warning, and sending out warning information to the forwarding device through the third data transmission module.
Baseline value of the patient's breathUpdates are made at the time of patient visits to the hospital.
The saidThe patient medical records in the medical record library are called through the cloud to obtain the medical records, if no record exists in the medical recordsWill thenSet to 60.
If the patient HR (t) is greater than 100 times/min for more than 10 minutes, the maximum value of the preset range is automatically up-regulated by 20%.
If the patient HR (t) is less than 100 times/min and lasts for more than 10 minutes, the maximum value of the preset range is restored to the original value.
If the patient HR (t) is less than 50 times/min for more than 10 minutes, the maximum value of the preset range is down-regulated.
The forwarding device is a mobile phone and/or an electronic watch.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes made by the specification and drawings of the present invention, or direct or indirect application in the relevant art, are included in the scope of the present invention.
Claims (10)
1. The remote processing system for the postoperative follow-up data of the cardiac pacemaker is characterized by comprising a pacemaker, a pacing electrode lead, a fixed electrode, a forwarding device and a cloud;
The fixed electrode is implanted into the body of a patient, the pacemaker comprises a battery and a circuit board, a first data transmission module and a controller are arranged on the circuit board, the battery is connected with the pacemaker through the circuit board, a pacing electrode lead wire and the pacemaker, and the controller obtains the myocardial impedance measured in real time through the fixed electrode;
the forwarding device comprises a second data transmission module;
the cloud end is provided with a third data transmission module and a medical record library, wherein the first data transmission module is in data connection with the third data transmission module through the second data transmission module;
The cloud establishes myocardial impedance fluctuation rate Z detection algorithm:
Z=×Norm(HR(t));Norm(HR(t))=;
Wherein, For the myocardial impedance at time t acquired by the fixed electrode,Is a time window; Myocardial impedance measured for reverse time difference, i.e Myocardial impedance measured at time, norm (HR (t)) is heart rate normalization factor, HR (t) is heart rate at time t,A resting heart rate for the patient;
the cloud end calls patient medical records in the medical record library, and if the patient has emphysema, the cloud end establishes a respiratory correction myocardial impedance fluctuation rate Detection algorithm:=Z×;
Wherein, A baseline value for patient respiration, obtained at a first follow-up visit after patient surgery; for real-time respiratory amplitude, chest wall impedance fluctuation calculation is synchronously acquired through a fixed electrode;
Cloud end judgment of myocardial impedance fluctuation rate Z or respiration corrected myocardial impedance fluctuation rateIf the data is active within the preset range, the data is not active, if the data is not active, a warning is sent out, and meanwhile warning information is sent out to the forwarding device through the third data transmission module.
2. The cardiac pacemaker post-operative follow-up data remote processing system according to claim 1 wherein the cloud determines any two consecutive myocardial impedance rates of fluctuationZ or any two consecutive respiration corrected myocardial impedance fluctuation ratesIf not, if yes, sending out a warning, and simultaneously sending out warning information to the forwarding device through the third data transmission module.
3. The cardiac pacemaker post-operative follow-up data remote processing system of claim 1, wherein the baseline value of patient respirationUpdates are made at the time of patient visits to the hospital.
4. A cardiac pacemaker post-operative follow-up data remote processing system according to claim 3 wherein theThe patient medical records in the medical record library are called through the cloud to obtain the medical records, if no record exists in the medical recordsWill thenSet to 60.
5. The cardiac pacemaker post-operative follow-up data remote processing system according to claim 1 wherein if the patient HR (t) is greater than 100 times/min for more than 10 minutes, the maximum value of the preset range is automatically up-regulated by 20%.
6. The cardiac pacemaker post-operative follow-up data remote processing system according to claim 5 wherein if the patient HR (t) is less than 100 times/min for more than 10 minutes, the maximum value of the preset range is restored to the original value.
7. The cardiac pacemaker post-operative follow-up data remote processing system according to claim 1 wherein the maximum value of the preset range is down-regulated if the patient HR (t) is less than 50 times/min for more than 10 minutes.
8. The cardiac pacemaker post-operative follow-up data remote processing system of claim 1, wherein theThe value is 300.
9. The cardiac pacemaker post-operative follow-up data remote processing system according to claim 1 wherein the forwarding device is a cell phone and/or an electronic watch.
10. The cardiac pacemaker post-operative follow-up data remote processing system according to claim 9, wherein the controller detects battery power through the circuit board, and if the battery power is lower than a preset value, the controller sends a notification of power shortage to the second data transmission module through the first data transmission module.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7628757B1 (en) * | 2005-05-25 | 2009-12-08 | Pacesetter, Inc. | System and method for impedance-based detection of pulmonary edema and reduced respiration using an implantable medical system |
| CN107537093A (en) * | 2017-10-16 | 2018-01-05 | 乐普医学电子仪器股份有限公司 | A kind of external temporary heart pacemaker with measurement function |
| CN109984742A (en) * | 2019-04-22 | 2019-07-09 | 深圳大学 | Cardiac impedance signal processing system and method |
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| US20070191901A1 (en) * | 2004-06-04 | 2007-08-16 | Pacesetter, Inc. | Quantifying systolic and diastolic cardiac performance from dynamic impedance waveforms |
| US10806933B2 (en) * | 2017-09-06 | 2020-10-20 | General Electric Company | Patient monitoring systems and methods that detect interference with pacemaker |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US7628757B1 (en) * | 2005-05-25 | 2009-12-08 | Pacesetter, Inc. | System and method for impedance-based detection of pulmonary edema and reduced respiration using an implantable medical system |
| CN107537093A (en) * | 2017-10-16 | 2018-01-05 | 乐普医学电子仪器股份有限公司 | A kind of external temporary heart pacemaker with measurement function |
| CN109984742A (en) * | 2019-04-22 | 2019-07-09 | 深圳大学 | Cardiac impedance signal processing system and method |
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