CN211883766U - Cardiovascular disease remote monitoring and early warning system - Google Patents
Cardiovascular disease remote monitoring and early warning system Download PDFInfo
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- CN211883766U CN211883766U CN201921736072.7U CN201921736072U CN211883766U CN 211883766 U CN211883766 U CN 211883766U CN 201921736072 U CN201921736072 U CN 201921736072U CN 211883766 U CN211883766 U CN 211883766U
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Abstract
The utility model provides a cardiovascular disease telemonitoring and early warning system, including portable physiological data collection system, terminal display device, cloud platform analytic system and data storage center, through bluetooth, zigBee, wiFi or 5G communication between portable physiological data collection system and the terminal display device, through wiFi or 5G communication between cloud platform analytic system and the terminal display device, through wiFi or 5G communication between data storage center and the terminal display device. The utility model discloses a portable physiological data collection system carries out developments, continuous monitoring to user's electrocardio data, heart and blood vessel ultrasonic image, blood pressure isoparametric, and the parameter that will survey in real time is uploaded to cloud platform analytic system and is carried out characteristic analysis and comparison, combines the current case history information of data storage center to give the diagnosis suggestion to with the result send to user, family members and medical personnel's terminal equipment on.
Description
Technical Field
The utility model belongs to disease remote monitoring field, especially a cardiovascular disease remote monitoring and early warning system.
Background
Cardiovascular diseases are common diseases seriously threatening the health of human beings, particularly the middle-aged and old people over 50 years old, have the characteristics of high morbidity, high disability rate and high mortality, even if the most advanced and perfect treatment means at present are applied, nearly half of survivors of the cardiovascular diseases cannot completely take care of the lives, heavy material and mental burden are brought to patients and families, and meanwhile, the monitoring of the cardiovascular diseases also becomes one of the major challenges of the basic medical structure.
With the development of internet technology and intelligent medical equipment, dynamic monitoring and remote analysis and early warning of physical signs become one of the important means for preventing and monitoring cardiovascular diseases. The heart, blood vessels and the like of a user are dynamically and continuously monitored by various portable physiological parameter acquisition devices, the measured information is uploaded to a cloud platform through the Internet for information analysis, and is compared and analyzed with models in a cardiovascular disease model library, diagnosis opinions are given by combining the information of the existing electronic medical records, and results are sent to terminal devices of the user, family members and medical personnel for prompting, so that an important means is provided for early warning and diagnosis of cardiovascular diseases of patients and common personnel.
SUMMERY OF THE UTILITY MODEL
The utility model provides a technical problem that solve provides a cardiovascular disease remote monitoring and early warning system, carry out developments, continuous monitoring through portable physiological data collection system to user's electrocardio data, heart and blood vessel ultrasonic image, blood pressure isoparametric, reach cloud platform analytic system in real time and carry out characteristic analysis and comparison with the parameter of surveying, the existing case history information that combines data storage center gives the diagnosis suggestion, and with result send to user, the family members and medical personnel's terminal equipment on indicate.
Realize the utility model discloses the technical solution of purpose does:
a cardiovascular disease remote monitoring and early warning system comprises a portable physiological data acquisition device, a terminal display device, a cloud platform analysis system and a data storage center, wherein the portable physiological data acquisition device is communicated with the terminal display device through Bluetooth, ZigBee, WiFi or 5G, the cloud platform analysis system is communicated with the terminal display device through WiFi or 5G, and the data storage center is communicated with the terminal display device through WiFi or 5G; the portable physiological data acquisition device is used for acquiring electrocardiogram signals, ultrasonic images and blood pressure values at regular time and transmitting the electrocardiogram signals, the ultrasonic images and the blood pressure values to the terminal display equipment, the terminal display equipment is used for displaying the electrocardiogram, the ultrasonic images and the blood pressure values, the data storage center is used for storing personal information, electronic medical records and historical data of a user, the historical data comprises the historically acquired electrocardiogram and ultrasonic images, and the cloud platform analysis system is used for calculating, analyzing and comparing the electrocardiogram, ultrasonic images and blood pressure values and obtaining judgment results and diagnosis opinions by combining the personal information and the electronic medical records; the cloud platform analysis system comprises an intelligent analysis module and a cardiovascular disease model library, wherein the cardiovascular disease model library comprises electrocardiograms and ultrasonic images of various cardiovascular diseases, and the intelligent analysis module is used for carrying out image filtering, denoising, feature extraction and mode identification on the electrocardiograms, the ultrasonic images and the blood pressure values collected by the portable physiological data collection device and comparing the electrocardiograms, the ultrasonic images and the blood pressure values with the cardiovascular disease model library to obtain diagnosis opinions.
Furthermore, the utility model discloses a cardiovascular disease remote monitoring and early warning system, portable physiological data collection system include wearable intelligent clothing, are installed miniature carotid artery ultrasonic device, limbs lead electrode, chest lead electrode and dynamic sphygmomanometer on wearable intelligent clothing, and miniature carotid artery supersound corresponds the carotid artery and sets up in the collar position of wearable intelligent clothing for carry out Doppler imaging to the carotid artery; 4 limbs lead electrode and correspond left upper limbs tip, right upper limbs tip, left low limbs tip and right low limbs tip and set up in the front of wearable intelligent clothing, and 6 chest lead electrodes correspond heart position and set up in the front left side of wearable intelligent clothing, and the dynamic sphygmomanometer corresponds left upper limbs position and sets up in the middle part of the left coat-sleeve of wearable intelligent clothing.
Further, the utility model discloses a cardiovascular disease telemonitoring and early warning system, terminal display device include smart mobile phone, wearable watch and medical panel computer.
Further, the cardiovascular disease remote monitoring and early warning system of the utility model comprises a cardiovascular disease model library including disease models such as myocardial ischemia, myocardial infarction, myocarditis, coronary heart disease, hypertension, etc.
The utility model adopts the above technical scheme to compare with prior art, have following technological effect:
1. the utility model discloses a cardiovascular disease remote monitoring and early warning system's portable physiological data collection system has wearable, comfortable characteristics, and can be for patient and ordinary personnel's cardiovascular disease early warning and diagnostic provide important means.
2. The utility model discloses a cardiovascular disease remote monitoring and early warning system can carry out developments, continuous monitoring to user's heart, blood vessel etc. to carry out comparative analysis.
3. The utility model discloses a cardiovascular disease remote monitoring and early warning system simple structure, convenient to use is applicable to various crowds.
Drawings
Fig. 1 is a schematic diagram of the overall composition of the cardiovascular disease remote monitoring and early warning system of the present invention.
Fig. 2 is a schematic structural view of the portable physiological data collecting device of the cardiovascular disease remote monitoring and early warning system of the present invention.
Fig. 3 is a schematic diagram of the cloud platform analysis system of the cardiovascular disease remote monitoring and early warning system of the present invention.
Fig. 4 is a schematic diagram of a data storage center of the cardiovascular disease remote monitoring and early warning system of the present invention.
Reference signs mean: 1: wearable intelligent clothing, 11: miniature carotid ultrasound device, 12: limb lead electrode, 13: chest lead electrode, 14: ambulatory sphygmomanometer, S1: portable physiological data acquisition device, S2: terminal display device, S3: cloud platform analysis system, S4: a data storage center.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present invention, and should not be construed as limiting the present invention.
A cardiovascular disease remote monitoring and early warning system is shown in figure 1 and comprises a portable physiological data acquisition device S1, a terminal display device S2, a cloud platform analysis system S3 and a data storage center S4, wherein the portable physiological data acquisition device S1 is in communication with the terminal display device S2 through Bluetooth, ZigBee, WiFi or 5G, the cloud platform analysis system S3 is in communication with the terminal display device S2 through WiFi or 5G, and the data storage center S4 is in communication with the terminal display device S2 through WiFi or 5G.
The portable physiological data acquisition device S1 is used for regularly acquiring electrocardiogram signals, ultrasonic images and blood pressure values and transmitting the electrocardiogram signals, the ultrasonic images and the blood pressure values to the terminal display equipment S2. The data and image information collected by the portable physiological data collecting device S1 can be transmitted to a single or a plurality of terminal display devices S2 to be displayed. The portable physiological data acquisition device S1 comprises a wearable intelligent garment 1, as shown in FIG. 2, a micro carotid ultrasound device 11, a limb lead electrode 12, a chest lead electrode 13 and a dynamic sphygmomanometer 14 are mounted on the wearable intelligent garment 1, and the micro carotid ultrasound 11 is arranged at the collar of the wearable intelligent garment 1 corresponding to the carotid artery and is used for Doppler imaging of the carotid artery; 4 limbs lead electrode 12 correspond left upper limbs tip, right upper limbs tip, left lower limbs tip and right lower limbs tip and set up in the front of wearable intelligent clothing 1, and 6 chest lead electrode 13 correspond the heart position and set up in the front left side of wearable intelligent clothing 1, and developments sphygmomanometer 14 corresponds left upper limbs position and sets up in the middle part of the left coat-sleeve of wearable intelligent clothing 1. The portable physiological data acquisition device S1 has the characteristics of being wearable and comfortable, can be better fixed on the body surface, and has better acquisition effect in the static and motion states of a user. The acquisition device can acquire the physiological data according to the mode and time set by the user and can transmit the acquired data to the terminal display device S2 in a wireless communication mode.
The terminal display device S2 is used to display an electrocardiogram, an ultrasound image and a blood pressure value. Terminal display device S2 includes smart mobile phone, wearable watch and medical panel computer. The user sets and controls the portable physiological data acquisition device S1 through the terminal display device S2, and simultaneously can input personal medical record information to the data storage center S4 through the terminal display device S2.
The data storage center S4 is used to store personal information of the user, electronic medical records, and historical data, including historically acquired electrocardiograms and ultrasound images. As shown in fig. 4, the electronic medical record information and past medical history of the data storage center S4 are entered and maintained by the user in the intelligent terminal device S2, and are automatically entered and stored by the cloud platform analysis system S3.
The cloud platform analysis system S3 is used for calculating, analyzing and comparing electrocardiogram, ultrasonic image and blood pressure values, and obtaining judgment results and diagnosis opinions by combining personal information and electronic medical records, and the judgment results and the diagnosis opinions can be simultaneously or independently sent to one or more terminal display devices S2 to inform users, medical staff and the like. As shown in fig. 3, the cloud platform analysis system S3 includes an intelligent analysis module and a cardiovascular disease model library, the cardiovascular disease model library includes electrocardiograms and ultrasonic images of various cardiovascular diseases, and the disease models include myocardial ischemia, myocardial infarction, myocarditis, coronary heart disease, hypertension, and the like. The intelligent analysis module is used for carrying out image filtering, denoising, feature extraction and pattern recognition on the electrocardiogram, the ultrasonic image and the blood pressure value acquired by the portable physiological data acquisition device S1, and comparing the result with a cardiovascular disease model library to obtain diagnosis opinions.
The cardiovascular disease remote monitoring and early warning system of the scheme applies the portable physiological parameter acquisition device S1 to dynamically and continuously monitor the heart, blood vessels and the like of a user, transmits the measured information to the cloud platform analysis system S3 through the Internet for information analysis, compares and analyzes the information with a model of a cardiovascular disease model library in the cloud platform analysis system S3, gives diagnosis opinions by combining the information of the prior electronic medical record, and sends results to the terminal display equipment S2 of the user, family members and medical personnel for prompting, thereby providing an important means for early warning and diagnosis of cardiovascular diseases of patients and common personnel.
The cardiovascular disease remote monitoring and early warning system of this scheme mainly used cardiovascular disease's dynamic monitoring and early warning, during the use, the user wears and contains wearable intelligent clothing 1 back that miniature carotid artery ultrasonic device 11, limbs lead electrode 12, chest lead electrode 13 and dynamic sphygmomanometer 14 etc. are connected with APP on the smart mobile phone through the bluetooth. The method comprises the steps of setting physiological parameter sampling time intervals by adopting an APP on a smart phone in a wireless communication mode, starting electrocardiogram acquisition, acquiring continuous or short-time electrocardiosignal and ultrasonic image data, transmitting acquired twelve-lead data to a terminal display device S2 in real time through a Bluetooth mode for electrocardiogram display, packaging the electrocardiosignal data according to a certain time length, sending the packaged electrocardiosignal data to a cloud platform analysis system S3, extracting characteristics of the twelve-lead electrocardiosignal data by the analysis system, comparing and analyzing the characteristics with different disease models in a cardiovascular disease model library, judging whether the electrocardiosignal data are abnormal or not, further analyzing the electrocardiosignal data if the abnormal data are abnormal, obtaining a judgment result by combining personal electronic medical record and historical data information of a data storage center S4, and sending diagnosis opinions to the terminal display device S2. The user can input information such as physical examination, medical history and the like into the terminal display equipment S2 to establish an individual electronic medical record, and the individual electronic medical record is stored in the data storage center S4, so that basis can be provided for the diagnosis of cardiovascular diseases in the future.
After the user registers on the smart phone APP, the data storage center S4 can establish electronic files for the user, the electrocardio data collected at each time and the judgment result can be sent to the data storage center S4 through a wireless network for storage, the user can also enter the body condition and the disease information of the user through the APP, and the electronic medical record of the user is maintained. When a doctor visits a doctor later, the information such as electrocardiogram data and the past medical history can be selectively led out from the platform.
The foregoing is only a part of the embodiments of the present invention, and it should be noted that, for those skilled in the art, a plurality of improvements can be made without departing from the principles of the present invention, and these improvements should be regarded as the protection scope of the present invention.
Claims (4)
1. A cardiovascular disease remote monitoring and early warning system is characterized by comprising a portable physiological data acquisition device (S1), a terminal display device (S2), a cloud platform analysis system (S3) and a data storage center (S4), wherein the portable physiological data acquisition device (S1) is communicated with the terminal display device (S2) through Bluetooth, ZigBee, WiFi or 5G, the cloud platform analysis system (S3) is communicated with the terminal display device (S2) through WiFi or 5G, and the data storage center (S4) is communicated with the terminal display device (S2) through WiFi or 5G; the portable physiological data acquisition device (S1) is used for acquiring electrocardiogram signals, ultrasonic images and blood pressure values at regular time and transmitting the electrocardiogram signals, the ultrasonic images and the blood pressure values to the terminal display device (S2), the terminal display device (S2) is used for displaying the electrocardiogram, the ultrasonic images and the blood pressure values, the data storage center (S4) is used for storing personal information, electronic medical records and historical data of a user, the historical data comprises the electrocardiogram and the ultrasonic images acquired in history, and the cloud platform analysis system (S3) is used for calculating, analyzing and comparing the electrocardiogram, the ultrasonic images and the blood pressure values and obtaining judgment results and diagnosis suggestions by combining the personal information and the electronic medical records;
the cloud platform analysis system (S3) comprises an intelligent analysis module and a cardiovascular disease model library, wherein the cardiovascular disease model library comprises electrocardiograms and ultrasonic images of various cardiovascular diseases, and the intelligent analysis module is used for carrying out image filtering, denoising, feature extraction and pattern recognition on the electrocardiograms, the ultrasonic images and blood pressure values acquired by the portable physiological data acquisition device (S1) and comparing the electrocardiograms, the ultrasonic images and the blood pressure values with the cardiovascular disease model library to obtain diagnosis opinions.
2. The cardiovascular disease remote monitoring and early warning system according to claim 1, wherein the portable physiological data acquisition device (S1) comprises a wearable smart garment (1), the wearable smart garment (1) is provided with a micro carotid ultrasound device (11), a limb lead electrode (12), a chest lead electrode (13) and a dynamic sphygmomanometer (14), and the micro carotid ultrasound device (11) is arranged in a collar of the wearable smart garment (1) corresponding to a carotid artery and is used for performing doppler imaging on the carotid artery; 4 limbs lead electrode (12) correspond left upper limbs tip, right upper limbs tip, left lower limbs tip and right lower limbs tip and set up in the front of wearable intelligent clothing (1), and 6 chest lead electrode (13) correspond heart position and set up in the front left side of wearable intelligent clothing (1), and developments sphygmomanometer (14) correspond left upper limbs position and set up in the middle part of the left coat-sleeve of wearable intelligent clothing (1).
3. The cardiovascular disease remote monitoring and early warning system according to claim 1, wherein the terminal display device (S2) comprises a smart phone, a wearable watch and a medical tablet computer.
4. The cardiovascular disease telemonitoring and early warning system of claim 1, wherein the cardiovascular disease model library comprises disease models of myocardial ischemia, myocardial infarction, myocarditis, coronary heart disease, and hypertension.
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| CN201921736072.7U CN211883766U (en) | 2019-10-16 | 2019-10-16 | Cardiovascular disease remote monitoring and early warning system |
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| CN201921736072.7U CN211883766U (en) | 2019-10-16 | 2019-10-16 | Cardiovascular disease remote monitoring and early warning system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113421642A (en) * | 2021-07-02 | 2021-09-21 | 复旦大学附属中山医院 | Cardiovascular disease online intelligent multifunctional system |
| CN116189896A (en) * | 2023-04-24 | 2023-05-30 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
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2019
- 2019-10-16 CN CN201921736072.7U patent/CN211883766U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113421642A (en) * | 2021-07-02 | 2021-09-21 | 复旦大学附属中山医院 | Cardiovascular disease online intelligent multifunctional system |
| CN116189896A (en) * | 2023-04-24 | 2023-05-30 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
| CN116189896B (en) * | 2023-04-24 | 2023-08-08 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
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