CN111514458A - Wearable electrocardiogram dynamic full-true drawing and testing intelligent defibrillator and control method thereof - Google Patents
Wearable electrocardiogram dynamic full-true drawing and testing intelligent defibrillator and control method thereof Download PDFInfo
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Abstract
The invention discloses a wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator which comprises clothes, an electrocardio patch, a defibrillation electrode patch, a flexible energy accumulator and a micro embedded control center, wherein the electrocardio patch, the defibrillation electrode patch and the micro embedded control center are detachably arranged on the clothes; the flexible energy storage supplies power for the micro embedded control center, the defibrillation electrode patch and the micro embedded control center, and comprises a flexible water system battery and/or a flexible super capacitor. The invention realizes the long-term and continuous monitoring of 12-lead electrocardio-activity, and can be used for diagnosis, prognosis evaluation and complication prevention treatment of cardiovascular diseases, sleep apnea syndrome and other diseases; can timely and safely defibrillate and can effectively avoid error discharge. The invention also discloses a control method of the wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator.
Description
Technical Field
The invention relates to intelligent medical equipment, in particular to a wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator.
Background
Cardiovascular disease is the disease with the highest prevalence and mortality worldwide. According to statistical data on heart disease and stroke (2019 edition) published by the american heart association, in 2016, over 1760 million people die globally from cardiovascular diseases, beginning with various causes of death; among them, coronary atherosclerotic heart disease (coronary heart disease) is the leading cause of cardiovascular death in various regions of the world. The Chinese cardiovascular disease report 2018 shows that the number of patients suffering from cardiovascular diseases in China is as high as 2.9 hundred million in 2016; the number of people died due to cardiovascular diseases accounts for the first of the total number of people died by urban and rural residents; and its prevalence and mortality are still in the ascending phase. In 2016, the total number of people discharged from cardiovascular disease patients in hospitals in China is reported to be 2002.19 thousands of times, which accounts for 12.57 percent of the total number of people discharged from hospitals in the same period. As can be seen, cardiovascular diseases bring huge national economic and sanitary burden to China.
The vast majority of patients with cardiovascular disease die from sudden cardiac arrest. Sudden cardiac arrest refers to sudden cardiac arrest, resulting in severe ischemia and hypoxia of vital organs (such as brain) and termination of life. This sudden death caused by cardiac causes is also called cardiac sudden death in medicine. According to '2016 Chinese cardio-pulmonary resuscitation specialist consensus' report, about 54.4 thousands of people suffer from cardiac arrest every year in China, 1500 people die of cardiac arrest every day on average, and the rescue success rate is less than 1%. In the United states, about 32.6 ten thousand cases of cardiac arrest outside the hospital and 20.9 ten thousand cases of cardiac arrest inside the hospital are treated each year, and the corresponding survival rates are respectively 10% and 24%, which are far higher than that of China. Therefore, the incidence of cardiac arrest in China is approaching the level of developed countries, but the overall rescue level is far lower than that of developed countries and regions.
The most effective treatment for cardiac arrest is electrical defibrillation. During the onset of cardiac arrest, the patient is characterized by no breathing, unconsciousness, palpable aortic pulsation, and cardiac electrical activity is often characterized by tachyventricular arrhythmias (e.g., ventricular fibrillation, pulseless ventricular velocity, etc.). Sudden cardiac death results if the patient's heart fails to recover from pulsation within minutes. Electrical defibrillation can stop ventricular fibrillation by a short-time large discharge, then a sinus node at a cardiac pacing point is excited normally, and the heart is controlled again to restore the normal beating of the heart. Clinical trials have demonstrated that effective electrical defibrillation is the only pre-hospital rescue method effective in reducing patient mortality for patients with cardiac arrest within 3-5 minutes. With sudden cardiac arrest with ventricular fibrillation, the probability of survival decreases by 7% -10% per 1 minute of defibrillation without cardiopulmonary resuscitation support and by 3% -4% per minute with cardiopulmonary resuscitation support. Therefore, it is important for cardiac arrest patients to identify ventricular fibrillation and perform electrical defibrillation in an early and timely manner. However, the popularization of emergency treatment knowledge in China is low, the recognition rate of cardiac arrest is low, and the popularization of an Automatic External Defibrillator (AED) is poor. A plurality of domestic investigation and research show that the allocation rate of the defibrillator of the village and town health institute is less than 10 percent; in the economically developed Yangtze triangle area, the cardiac defibrillation development rate of the primary hospital is less than 50%, the emergency department doctors of the primary hospital can be familiar with the cardiac defibrillation knowledge and only account for 50%, and the proportion of defibrillators used by medical staff is less than 10%. Due to the current situations, patients suffering from cardiac arrest in China often miss the best rescue opportunity.
In order to prevent sudden cardiac death, implantable cardioverter-defibrillators (ICDs) are a common clinical choice for specific patients (patients with specific structural heart disease accompanied by malignant arrhythmia, primary cardioelectric disease, impaired function of significant left ventricular contraction, etc.). It can automatically detect ventricular tachycardia, ventricular fibrillation and other tachyventricular arrhythmias and perform overdrive pacing suppression and shock cardioversion. ICDs, however, need to be surgically implanted into a patient and surgery can lead to complications such as bleeding, infection, pneumothorax, etc. There is also the possibility of significant adverse events such as dislocation of the endocardial lead, rupture and destruction of the lead insulation, and loosening of the lead and ICD connection. Although ICD has good clinical utility, the ICD is limited by the factors of economic development level, scarce medical resources, traditional medical concept, high surgical risk, more and more complications, need of regular surgical battery replacement and the like in China, the ICD popularization rate in China is low, and cardiovascular patients still face great sudden death risk.
There are several main existing defibrillation devices:
1. AED: automatic external defibrillator
The method is characterized in that: through 2 lead, can discern malignant arrhythmia kind fast, in time distinguish the rhythm of the heart of defibrillating, reach 200 joules of energy in the twinkling of an eye, easily operation, the first aid equipment that can skillfully use, specially designed for the first aid on-the-spot with training a bit. Current automatic defibrillators are relatively low in popularity, especially in some small cities.
The method has the following defects: in China, the coverage rate of the AED is very low, most patients lose lives due to the fact that rescue time is missed, and the automatic defibrillator configured in China at present does not allow untrained non-professional personnel to use the defibrillator, is large in size, heavy in weight, expensive in selling price and single in function (only used for sudden cardiac arrest patients).
2. ICD/SICD: implantable cardiac defibrillator/subcutaneous implantable cardiac defibrillator
The method is characterized in that: the volume is small, the defibrillator can be implanted into the thoracic cavity or abdominal cavity of a patient to help control some possibly fatal arrhythmia through electric pulse or electric shock, and the survival rate of the patient with left ventricular insufficiency can be improved through implanting the defibrillator.
The method has the following defects: the device is arranged invasively, and an interventional operation needs to be performed; the cost is high, the hospitalization time is long, and the opportunity cost is high; there is a risk of infection, bleeding and even shock death; the real-time data analysis is lacked, the electrocardiogram diagnosis can be only obtained, and the clinical diagnosis can not be realized by combining with the clinical symptom expression; the treatment plan cannot be drawn up according to the condition of the patient; the replacement of the battery is troublesome.
3. A WCD: wearable cardioverter defibrillator system
The WCD mainly comprises a defibrillation electrode and a defibrillation host. The defibrillation vest comprises 1 defibrillation electrode of the front chest, 2 defibrillation electrodes of the back and 4 electrocardiogram sensing patch electrodes. The defibrillation host is positioned at the waist and is provided with a function key and an electrocardiogram display screen. In addition, each defibrillation plate is provided with 10 self-breaking conductive gel capsules to help sense the electrocardio activity. The electrocardiogram sensing patch electrode detects that the heart rate of a patient exceeds a set treatment frequency (generally 120-250 times/minute, generally 150 times/minute), the tachyarrhythmia exceeds a set time (generally 5-6 seconds), and the electrocardiogram is compared with the template by the instrument to judge whether ventricular tachycardia/ventricular fibrillation exists or not; if the ventricular rate/ventricular fibrillation is detected, the WCD sends a vibration alarm and light flicker to remind the patient, and the patient can manually stop the treatment; if the ventricular velocity/ventricular fibrillation is continuous, the WCD automatically charges and releases the conductive gel to send out 75-150-J bidirectional defibrillation waves; the WCD can also release 4 defibrillations if it cannot terminate. As can be seen from the design of WCDs, WCDs have certain advantages such as no need for surgery, ease of use, lower short term use costs, reduced costs associated with ICD follow-up visits, alternative therapies for transient ICD removal, etc.
The above 3 kinds of defibrillation apparatuses have the following disadvantages:
1. AED ICD WCD;
2. the electrocardio monitoring of the three is a fixed algorithm, and the safety and the effectiveness of the electrocardio monitoring are not improved by using the current advanced algorithms such as artificial intelligence, deep learning, cloud computing, big data and the like;
3. the used patch is simple, uncomfortable to wear and easy to fall off;
4. the discharge monitoring safety process is simple, and the safety is not high;
5. the battery has limited electric quantity, and the storage of the electric quantity requires high electric quantity, so the required battery has large volume, is inconvenient to carry and has limited discharge times
Disclosure of Invention
The invention aims to provide a wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator which can be used for carrying out electrocardio monitoring and electric shock defibrillation treatment when necessary and effectively overcoming the defects of the conventional electric shock defibrillation equipment.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
the invention discloses a wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator which comprises clothes, an electrocardio patch, a defibrillation electrode patch, a flexible energy accumulator and a micro embedded control center, wherein the electrocardio patch, the defibrillation electrode patch and the micro embedded control center are detachably arranged on the clothes; the flexible energy accumulator supplies power for the micro embedded control center, the defibrillation electrode patch and the micro embedded control center, and comprises a flexible water system battery and/or a flexible super capacitor.
Preferably, the built-in electrocardio sensor of the electrocardio patch comprises a digital 50Hz wave trap, the electrocardio patch and a connecting wire thereof are provided with shielding layers, the number of the electrocardio patches is 10, and the 10 electrocardio patches are arranged as follows: there are 5 left chests, 1 right chest, two abdomens, and two collars and chests; the number of the defibrillation electrode patches is two, one defibrillation electrode patch is positioned at the lower part of the left chest and under the 5 electrocardio patches at the left chest, and the other defibrillation electrode patch is positioned at the upper part of the right chest.
Further, the miniature embedded control center comprises a Beidou GPS dual-mode positioning system.
Preferably, the flexible water system battery is a nickel-zinc primary battery, the positive electrode of the nickel-zinc primary battery is a nickel hydroxide active material loaded by foamed nickel, the size of the positive electrode is 10x10x 0.04cm, the negative electrode of the nickel-zinc primary battery is zinc electrodeposited by foamed copper, the size of the negative electrode is 10x10x 0.1cm, the electrolyte is 6M KOH, the diaphragm is a non-woven fabric diaphragm, and the size of the nickel-zinc primary battery is 10x10x 0.3 cm.
Preferably, the micro embedded control center comprises an ADS1292 integrated chip, a Cortex-M0 LPC1114 processor, a Flash Memory chip and a Bluetooth transmission module.
Preferably, the clothes are women or men, and the women are provided with the breast pads.
Furthermore, the system also comprises a cloud platform and a mobile terminal, wherein the cloud platform is a composite platform of BIM +3DGIS + CIM technology, the cloud platform is in wireless connection with the mobile terminal, and the mobile terminal is in wireless connection with the micro embedded control center.
Preferably, the cloud platform is a corrpace cloud platform, the corrpace cloud platform comprises a service application layer, a basic supporting layer and a data layer, the service application layer and the basic supporting layer share log records and authority control, and the service application layer, the basic supporting layer and the data layer share transaction management, hierarchical management and database management;
the business application layer comprises functional services, an operation maintenance management platform and a terminal view analyzer, wherein the functional services comprise comprehensive data analysis and online diagnosis and defibrillation;
the base support layer comprises a deep learning based ECG classifier;
the data layer comprises a MySQ database.
The invention also discloses a control method suitable for the wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator, which comprises six protective measures, wherein the six protective measures comprise the following steps:
firstly, identifying specific waveforms, accurately diagnosing, and after acquiring the electrocardio information of a patient, combining the past basic electrocardio information and cloud big data of the patient by the cloud, and performing deep learning to accurately diagnose ventricular fibrillation of the patient;
the second channel and the double centers send defibrillation instructions, the control right of the cloud platform is higher than that of the micro embedded control center under the condition that the cloud platform is on line, and when ventricular fibrillation of a patient is identified, the cloud platform sends the defibrillation instructions to reach the defibrillation module through the mobile terminal and the embedded control center to perform defibrillation; under the condition that the mobile terminal or the cloud platform is offline, the embedded control center judges according to the R wave and the ventricular fibrillation rhythm, and directly sends a defibrillation instruction to the defibrillation module to perform defibrillation when the R wave and the ventricular fibrillation are identified;
the third and double-sensing auxiliary judgment, namely, the respiration and heartbeat states of the patient are judged through additionally added respiration sensors and apical pulsation sensors;
fourthly, recognizing and early warning the falling of the defibrillation electrode plate, wherein when the defibrillation electrode plate falls off, a sensor arranged in the defibrillation electrode plate recognizes and uploads an alarm, and defibrillation is not performed;
and a fifth step: recognizing an exogenous bioelectricity signal, namely recognizing the exogenous bioelectricity signal through the heart rhythm of the Corpace, and when the exogenous bioelectricity signal exists, giving an alarm by light and voice by a defibrillation module to remind other people not to touch a patient and defibrillate;
and a sixth step: the time delay discharges, patient's automatic control, after the instruction of defibrillating was assigned, the module of defibrillating will carry out 25 seconds light and audible alarm, remind will defibrillate, patient's accessible manual switch closes the instruction of defibrillating, does not close after 25 seconds, the module of defibrillating discharges and defibrillates.
Preferably, the method for identifying a specific waveform comprises the following steps:
the deep learning adopts 20 ten thousand electrocardiograms for correct standard electrocardio diagnosis to obtain a key model related to ventricular fibrillation, and the electrocardiograms comprise the following categories: normal electrocardiogram, atrial tachycardia, ventricular fibrillation, sinus arrhythmia, atrial tachycardia, atrial fibrillation, junctional tachycardia, pre-excitation syndrome, atrioventricular conduction block, intraventricular conduction block, pacemaker rhythm, and no less than 1 million electrocardiograms per category.
The invention has the following beneficial effects:
1. the invention realizes the long-term and continuous monitoring of 12-lead electrocardio-activity, and can be used for diagnosis, prognosis evaluation and complication prevention treatment of cardiovascular diseases, sleep apnea syndrome and other diseases.
2. The invention can safely defibrillate in time and effectively avoid error discharge.
3. The invention selects the water system nickel-zinc battery, and has the characteristics of short charging time and long endurance.
4. The invention has accurate positioning, provides safe and effective protection for users, is convenient for emergency rescue in time and protects life.
5. The invention can store, map and manage various data, and provide support service and protection service for various analysis and data integration. The electrocardiosignals which can be intelligently identified and transmitted are combined with other clinical data of the patient through computer vision and natural language processing technology, and timely feedback and report are given after comprehensive analysis and processing, so that the accurate diagnosis is carried out on the patient.
6. The CorPace cloud platform can realize screening and diagnosis of asymptomatic (occult) coronary heart disease, atrial fibrillation, sinus arrhythmia, supraventricular tachycardia, ventricular tachycardia, atrioventricular conduction block, sick sinus syndrome, torsade de pointes, pre-excitation syndrome, atrioventricular motion discordance, myocarditis, myocardial strain, coronary atherosclerotic heart disease, ischemic cardiomyopathy, dilated cardiomyopathy, pericardial effusion, pulmonary embolism, sleep apnea syndrome and the like.
Drawings
FIG. 1 is a schematic view of a male of the present invention;
FIG. 2 is a schematic view of a woman of the present invention;
FIG. 3 is a first electrical schematic of the present invention;
FIG. 4 is a second electrical schematic block diagram of the present invention;
FIG. 5 is an architecture diagram of a CorPace cloud platform;
FIG. 6 is a control flow chart of the present invention under the off-line state of the cloud platform;
fig. 7 is a control flowchart of the present invention in the online state of the cloud platform.
In the figure: 1-a miniature embedded control center, 2-a flexible energy storage, 3-an electrocardio patch, 4-a defibrillation electrode patch and 5-a chest pad.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings.
As shown in fig. 1-5, the novel wearable electrocardiographic dynamic full-real drawing and measuring intelligent defibrillator disclosed by the invention is a piece of clothes with a real-time electrocardiographic monitoring function and an automatic emergency defibrillation function when necessary, in particular to breathable underwear, the weight of the underwear is only 350g, and the comfortable feeling is good. An electrocardio patch 3, a defibrillation electrode patch 4, a flexible energy storage 2, a micro embedded control center 1 (namely a logo product) and the like which can be unloaded are arranged in the flexible energy storage 2, and the flexible energy storage 2 can be a flexible water system battery or a flexible super capacitor.
The built-in electrocardio sensor of electrocardio paster 3, including digital 50Hz trapper, electrocardio paster 3 and be equipped with the shielding layer on the connecting wire thereof, electrocardio paster 3 has 10, 10 electrocardio pasters 3 arrange as follows: there are 5 left chests, 1 right chest, two abdomens, and two collars and chests; the number of the defibrillation electrode patches 4 is two, wherein one defibrillation electrode patch 4 is positioned at the lower part of the left chest and is positioned under the 5 electrocardio patches 3 at the left chest, and the other defibrillation electrode patch 4 is positioned at the upper part of the right chest.
All the patches and clothes have good self-cleaning property and self-adaptability, surface pollutants or dust particles can naturally fall off under the action of gravity or can be removed through photocatalytic degradation, the incidence rate of skin inflammation can be reduced, and the experience of patients is improved. An electrocardiosignal acquisition sensor is arranged in the electrocardio patch, and a local miniature embedded controller is provided with a new energy miniature water system flexible battery with ultra-long endurance time, high safety and flash charging performance.
The wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator is divided into a woman and a man, wherein the woman has a chest pad 5, and various sizes, colors and styles are made according to the body form of the Chinese people for selection of patients. The material is mainly an insulating flexible textile material with extensibility, compliance, self-cleaning property, high air permeability, lightness and thinness, and the strong compliance can enable clothes to be tightly attached to the skin.
The electrocardio monitoring block of the wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator comprises 10 electrocardio patches, 1 micro embedded control center and 1 water system nickel-zinc battery. The electrocardio sensor is arranged in the electrocardio patch, so that 12-lead long-time, continuous and real-time recording of electrocardiosignals can be realized; the digital 50Hz trap is used for filtering power frequency interference, and the lead wire is provided with a shielding layer for shielding interference signals, so that the strong anti-interference capability is achieved, the acquisition of electrocardio is not influenced by the activity of a patient, and the electrocardio information of each lead of the patient can be accurately acquired even if the patient moves violently. The miniature embedded control center is a local control center which is formed by an ADS1292 integrated chip, a Cortex-M0 LPC1114 processor, a Flash Memory chip and a Bluetooth transmission module, and can realize front-end processing, data storage, off-line analysis and short-distance transmission (transmission to a mobile terminal) of electrocardiosignals.
The system specifically comprises the following modules:
1. an electrocardio acquisition module: the electrocardio collector comprises 10 electrocardio patches and 1 micro embedded control center, realizes long-term and continuous monitoring of 12-lead electrocardio activity, and can be used for diagnosis, prognosis evaluation and complication prevention and treatment of cardiovascular diseases, sleep apnea syndrome and other diseases. The electrocardio patch is internally provided with an electrocardio sensor, a digital 50Hz wave trap is adopted to filter power frequency interference, and the patch and the lead are provided with interference signal shielding layers, so that the electrocardio acquisition is not influenced by external signals and activities of a subject, and the electrocardio information of each lead of a patient can be accurately acquired even if the patient moves violently. The miniature embedded control center is a local control center which is formed by an ADS1292 integrated chip, a Cortex-M0 LPC1114 processor, a Flash Memory chip and a Bluetooth transmission module, and can realize front-end processing, data storage, off-line analysis and short-distance transmission of electrocardiosignals.
2. The electric shock defibrillation module: the electric shock defibrillation module is under double control of the micro embedded control center and the cloud platform; and when the network is abnormal, the electric shock defibrillation module is controlled by the off-line local micro embedded control center. In addition, the novel wearable electrocardio dynamic full-true drawing and measuring intelligent defibrillator adopts 6 protective measures, so that the misdischarge rate and the leakage discharge rate are greatly reduced. When the electrocardiosignals are identified to be abnormal signals, the local control center immediately detects whether R waves exist or not as one of defibrillation conditions. Meanwhile, the electrode patch at the projection position on the apex of the heart can sense whether the heart beats or not as the second defibrillation condition. In addition, the ecg patch will monitor whether the patient has normal breathing as the third condition for defibrillation. When the multiple conditions are matched, the local control center sends a defibrillation preparation instruction. If the local control center can be connected with a network, the identified information is rapidly collected and sent to the CorPace cloud platform, and the cloud end also sends a defibrillation preparation instruction after judging the condition of the patient. The defibrillator will only operate if both commands are satisfied. At the initiation of defibrillation, a 25s buffer time is provided during which a cancel key may be pressed to terminate defibrillation if the patient condition improves.
3. A power supply module: the power supply system adopts a nickel-zinc primary battery, the anode material is nickel hydroxide active substance (10x 10x 0.04cm) loaded by foamed nickel, the cathode material is zinc electrodeposited by foamed copper (10x 10x 0.1cm), the electrolyte is 6M KOH, and the diaphragm adopts a non-woven fabric diaphragm. The size of the whole battery is 10x10 cm, and the thickness is 3 mm. The monitoring system has the characteristics of long working time and low power, so that the monitoring system has to have enough safety and energy storage. Aiming at the two characteristics, the water system nickel-zinc battery is selected, and the battery has the characteristics of short charging time and long endurance.
4. A dual-mode positioning system: the built-in Beidou navigation and positioning module is connected with a China Beidou Satellite navigation System (BDS) in real time, is accurately positioned, provides safe and effective protection for a user, is convenient for timely rescue at an emergency and protects life. The built-in UM220 bimodulus positioning chip has positioning accuracy can reach within 10 meters, and can receive the satellite positioning data of big dipper/GPS.
5. Cloud platform: the cloud platform builds a composite platform of BIM +3DGIS + CIM technology, the application layer is a cloud storage data service center for data storage of the cloud platform, and the cloud storage data service center can store, map and manage various data and provide support service and protection service for various analysis and data integration. The electrocardiosignals which can be intelligently identified and transmitted are combined with other clinical data of the patient through computer vision and natural language processing technology, and timely feedback and report are given after comprehensive analysis and processing, so that the accurate diagnosis is carried out on the patient. The CorPace cloud platform can be used for screening and diagnosing asymptomatic (occult) coronary heart disease, atrial fibrillation, sinus arrhythmia, supraventricular tachycardia, ventricular tachycardia, atrioventricular conduction block, sick sinus syndrome, torsade de pointes, pre-excitation syndrome, atrioventricular movement incoordination, myocarditis, myocardial strain, coronary atherosclerotic heart disease, ischemic cardiomyopathy, dilated cardiomyopathy, pericardial effusion, pulmonary embolism, sleep apnea syndrome and the like.
As shown in fig. 6 and 7, the invention also discloses a control method suitable for the wearable electrocardiographic dynamic full-true mapping intelligent defibrillator, which comprises the following six protective measures for defibrillation:
the first way is that: and identifying specific waveforms to perform accurate diagnosis. After the electrocardio information of the patient is obtained, the cloud end combines the past basic electrocardio information of the patient and the cloud end big data, and accurate ventricular fibrillation diagnosis is carried out on the patient after deep learning. The specific waveform identification method and the ventricular fibrillation judgment method comprise the following steps:
firstly, a fixed algorithm: firstly, identifying a specific R wave, and the specific method comprises the following steps:
1. each lead respectively identifies the highest point of voltage/amplitude;
2. calculating the height difference between the highest points of the waveform and the transverse distance between the highest points of each lead;
3. if the height difference between the highest points of the leads exceeds 0.05 millivolt, judging the leads to be non-chamber flutter waveforms;
4. if the height difference between the highest points of the leads does not exceed 0.05 millivolts, the ventricular fibrillation waveform is judged.
II, non-fixed algorithm: the electrocardiogram of 20 ten thousand correct standard electrocardio diagnosis is deeply learned to obtain a key model related to ventricular fibrillation. The learned electrocardiogram includes: normal electrocardiogram, atrial tachycardia, ventricular fibrillation (ventricular fibrillation), sinus arrhythmia, atrial tachycardia, atrial fibrillation, junctional tachycardia, pre-excitation syndrome, atrioventricular conduction block, intraventricular conduction block, pacemaker rhythm, and the like. And each category of electrocardiogram is not less than 1 ten thousand.
And a second step: and sending a defibrillation command by the double centers. Under the online condition of the cloud platform, the control right of the cloud platform is higher than that of the micro embedded control center, and when the fact that the patient has ventricular fibrillation is identified, the cloud platform sends a defibrillation instruction to the defibrillation module to defibrillate through the mobile terminal and the embedded control center in sequence. Under the condition that the mobile terminal or the cloud platform is offline, the embedded control center judges according to the R wave and the ventricular fibrillation rhythm, and directly sends a defibrillation instruction to the defibrillation module to defibrillate when the R wave and the ventricular fibrillation are identified.
And a third step: and (4) double sensing auxiliary judgment. Except for diagnosing ventricular fibrillation by collecting electrocardiosignals through a patch, a respiration sensor and a cardiac apex pulsation sensor are additionally added to judge the respiration and heartbeat states of a patient.
And a fourth step: and identifying and early warning the falling of the defibrillation electrode plate. In order to effectively defibrillate, the electrode pads need to be closely attached to the body surface skin. When the electrode plate falls off, the built-in sensor can recognize and upload an alarm, and defibrillation cannot be implemented before effective fitting is carried out again.
And a fifth step: and recognizing an exogenous bioelectrical signal. During defibrillation, a person beside the defibrillator is prohibited from touching the patient, or electrical injury will be caused to the person beside the defibrillator, and effective defibrillation cannot be achieved. Exogenous bioelectricity signals can be recognized by the heart rhythm of the cortex, and when the exogenous bioelectricity signals exist, the defibrillation module can perform light and voice alarm to remind other people not to touch a patient and defibrillate.
And a sixth step: delayed discharge and patient self-control. When the defibrillation command is given, the defibrillation module gives an alarm for 25 seconds by light and sound to remind people to defibrillate. If the patient consciousness exists, the patient can turn off the defibrillation command through the manual switch, and when the defibrillation command is not turned off after 25 seconds, the defibrillation module considers that the patient consciousness is lost, and performs discharge defibrillation.
The present invention is capable of other embodiments, and various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. Wearable electrocardio developments are painted entirely and are surveyed intelligent defibrillator, its characterized in that: the electrocardio patch and the defibrillation electrode patch are detachably mounted on the clothes, and are connected with the micro embedded control center; the flexible energy accumulator supplies power for the micro embedded control center, the defibrillation electrode patch and the micro embedded control center, and comprises a flexible water system battery and/or a flexible super capacitor.
2. The wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator of claim 1, wherein: the built-in electrocardio sensor of electrocardio paster includes digital 50Hz trapper, is equipped with the shielding layer on electrocardio paster and the connecting wire thereof, and the electrocardio paster has 10, and 10 electrocardio pasters arrange as follows: there are 5 left chests, 1 right chest, two abdomens, and two collars and chests; the number of the defibrillation electrode patches is two, one defibrillation electrode patch is positioned at the lower part of the left chest and under the 5 electrocardio patches at the left chest, and the other defibrillation electrode patch is positioned at the upper part of the right chest.
3. The wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator of claim 1, wherein: the miniature embedded control center comprises a Beidou GPS dual-mode positioning system.
4. The wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator of claim 1, wherein: the flexible water system battery is a nickel-zinc primary battery, the positive pole of the nickel-zinc primary battery is a nickel hydroxide active substance loaded by foamed nickel, the size of the positive pole is 10x10x 0.04cm, the negative pole of the nickel-zinc primary battery is zinc electrodeposited by foamed copper, the size of the negative pole is 10x10x 0.1cm, the electrolyte is 6M KOH, the diaphragm is a non-woven fabric diaphragm, and the size of the nickel-zinc primary battery is 10x10x 0.3.3 cm.
5. The wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator of claim 1, wherein: the micro embedded control center comprises an ADS1292 integrated chip, a Cortex-M0 LPC1114 processor, a Flash Memory chip and a Bluetooth transmission module.
6. The wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator of claim 1, wherein: the clothes are women or men, and the women are provided with chest cushions.
7. The wearable electrocardiographic dynamic total truth plotting intelligent defibrillator of any one of claims 1-6, wherein: the system comprises a cloud platform and a mobile terminal, wherein the cloud platform is a composite platform of BIM +3DGIS + CIM technology, the cloud platform is in wireless connection with the mobile terminal, and the mobile terminal is in wireless connection with a micro embedded control center.
8. The wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator of claim 7, wherein: the cloud platform is a corrPace cloud platform, the corrPace cloud platform comprises a service application layer, a basic supporting layer and a data layer, the service application layer and the basic supporting layer share log records and authority control, and the service application layer, the basic supporting layer and the data layer share transaction management, hierarchical management and database management;
the business application layer comprises functional services, an operation maintenance management platform and a terminal view analyzer, wherein the functional services comprise comprehensive data analysis and online diagnosis and defibrillation;
the base support layer comprises a deep learning based ECG classifier;
the data layer comprises a MySQ database.
9. The control method applicable to the wearable electrocardiographic dynamic full-true-mapping intelligent defibrillator as claimed in claim 8, is characterized in that: the method comprises six protective measures, wherein the six protective measures comprise the following steps:
firstly, identifying specific waveforms, accurately diagnosing, and after acquiring the electrocardio information of a patient, combining the past basic electrocardio information and cloud big data of the patient by the cloud, and performing deep learning to accurately diagnose ventricular fibrillation of the patient;
the second channel and the double centers send defibrillation instructions, the control right of the cloud platform is higher than that of the micro embedded control center under the condition that the cloud platform is on line, and when ventricular fibrillation of a patient is identified, the cloud platform sends the defibrillation instructions to reach the defibrillation module through the mobile terminal and the embedded control center to perform defibrillation; under the condition that the mobile terminal or the cloud platform is offline, the embedded control center judges according to the R wave and the ventricular fibrillation rhythm, and directly sends a defibrillation instruction to the defibrillation module to perform defibrillation when the R wave and the ventricular fibrillation are identified;
the third and double-sensing auxiliary judgment, namely, the respiration and heartbeat states of the patient are judged through additionally added respiration sensors and apical pulsation sensors;
fourthly, recognizing and early warning the falling of the defibrillation electrode plate, wherein when the defibrillation electrode plate falls off, a sensor arranged in the defibrillation electrode plate recognizes and uploads an alarm, and defibrillation is not performed;
and a fifth step: recognizing an exogenous bioelectricity signal, namely recognizing the exogenous bioelectricity signal through the heart rhythm of the Corpace, and when the exogenous bioelectricity signal exists, giving an alarm by light and voice by a defibrillation module to remind other people not to touch a patient and defibrillate;
and a sixth step: the time delay discharges, patient's automatic control, after the instruction of defibrillating was assigned, the module of defibrillating will carry out 25 seconds light and audible alarm, remind will defibrillate, patient's accessible manual switch closes the instruction of defibrillating, does not close after 25 seconds, the module of defibrillating discharges and defibrillates.
10. The control method according to claim 9, characterized in that: the method for identifying the specific waveform comprises the following steps:
step 1, identifying the highest point of voltage/amplitude of each lead respectively;
step 2, calculating the height difference between the highest points of the waveform and the transverse distance between the highest points of each lead;
step 3, if the height difference between the highest points of the leads exceeds 0.05 millivolt, judging that the leads are not chamber flutter waveforms; if the height difference between the highest points of the leads does not exceed 0.05 millivolt, judging the waveform is ventricular fibrillation;
the deep learning adopts 20 ten thousand electrocardiograms for correct standard electrocardio diagnosis to obtain a key model related to ventricular fibrillation, and the electrocardiograms comprise the following categories: normal electrocardiogram, atrial tachycardia, ventricular fibrillation, sinus arrhythmia, atrial tachycardia, atrial fibrillation, junctional tachycardia, pre-excitation syndrome, atrioventricular conduction block, intraventricular conduction block, pacemaker rhythm, and no less than 1 million electrocardiograms per category.
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