CN111768879A - Electrocardio monitoring system - Google Patents
Electrocardio monitoring system Download PDFInfo
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- CN111768879A CN111768879A CN202010683943.4A CN202010683943A CN111768879A CN 111768879 A CN111768879 A CN 111768879A CN 202010683943 A CN202010683943 A CN 202010683943A CN 111768879 A CN111768879 A CN 111768879A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 44
- 238000007405 data analysis Methods 0.000 claims abstract description 27
- 238000013500 data storage Methods 0.000 claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 14
- 230000005540 biological transmission Effects 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 241000282414 Homo sapiens Species 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 5
- 230000003068 static effect Effects 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 abstract description 4
- 230000004807 localization Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 208000024172 Cardiovascular disease Diseases 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002565 electrocardiography Methods 0.000 description 1
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- 230000002265 prevention Effects 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention provides an electrocardiogram monitoring system, and relates to the technical field of medical monitoring. The electrocardiogram monitoring system comprises a data acquisition module, a data analysis module, a data storage module, a cloud server, an intelligent prediction module, a data transmission module, a mobile terminal, a data sharing module, an abnormality reminding module, a positioning tracking module, a result generation module and a central processing module, wherein the data acquisition module is connected with the data analysis module. According to the invention, the data acquisition module is used for acquiring the electrocardio information and the behavior information of the patient in real time, so that whether the fluctuation of the electrocardio data of the current state of the patient is reasonable or not can be preliminarily judged, then the central processing module is used for carrying out comprehensive analysis again, a report is generated by one key, the patient can be reminded through the mobile terminal and the abnormity reminding module, and meanwhile, the hospital and the family members can be informed of the abnormal data, so that the hospital and the family members can conveniently grasp the state of the patient in time, and the patient can be monitored in multiple directions.
Description
Technical Field
The invention relates to the technical field of medical monitoring, in particular to an electrocardiogram monitoring system.
Background
Cardiovascular diseases are regarded as one of the diseases threatening the life safety of human beings, and the treatment and cure thereof are regarded as important. Because of the sudden nature of the onset of cardiovascular disease, its prevention is of great importance. Electrocardiography (ECG) is gaining more and more attention as a means and method for heart monitoring due to its importance and role in heart monitoring and diagnosis. With the development of informatization and modernization of medical treatment, the electrocardiogram is one of the necessary examination items for patients as a routine examination.
At present, in order to perform electrocardiographic monitoring on patients, a plurality of types of monitors are available in the market, the monitors in the market are mainly divided into two categories, one is a monitor taking a computer as a core, and the patients need to be detected in a hospital; the other type of monitor takes a single chip microcomputer as a core and has a certain network communication function, although the monitoring equipment in the prior art can monitor a patient on a certain layer, the existing monitoring system is simple, so that the patient monitoring mode is single, and an effective processing means is lacked when the patient cannot perform self-protection in case of emergency.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides an electrocardiogram monitoring system, which solves the defects and shortcomings in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides an electrocardio monitoring system, the system includes data acquisition module, data analysis module, data storage module, high in the clouds server, intelligent prediction module, data transmission module, mobile terminal, data sharing module, unusual warning module, localization tracking module, result generation module and central processing module, data acquisition module and data analysis module are connected, data sharing module and unusual warning module all are connected with result generation module, the high in the clouds server is connected with data storage module and intelligent prediction module respectively, data analysis module, data storage module, data transmission module, mobile terminal, localization tracking module and result generation module all are connected with central processing module.
Preferably, the data acquisition module is used for acquiring the electrocardiogram information and the behavior information of the patient in real time, classifying and sorting the acquired information and then sending the classified information to the data analysis module.
Preferably, the data analysis module comprises an electrocardiogram processing unit, a behavior processing unit and a pre-judgment unit, the electrocardiogram processing unit is used for comprehensively analyzing the received electrocardiogram data and analyzing whether the fluctuation range of the electrocardiogram data is normal, the behavior processing unit is used for analyzing the real-time human behavior posture of the patient and judging the behavior characteristics of the patient, and the pre-judgment unit is used for primarily analyzing whether the fluctuation range of the electrocardiogram data of the current state of the patient is reasonable or not by combining the electrocardiogram data and the behavior characteristics and sending the electrocardiogram data to the central processing module.
Preferably, the data transmission module comprises a wireless Bluetooth unit and a GPRS network unit, the central processing module is connected with the mobile terminal through the wireless Bluetooth unit, and the data storage module is connected with the cloud server through the GPRS network unit.
Preferably, the positioning and tracking module comprises a GPS positioning unit and a Beidou positioning unit, and the GPS positioning unit is matched with the Beidou positioning unit for positioning the position of the patient.
Preferably, the data storage module is used for the data received by the central processing module and the processed data and then sending the data to the cloud server through a GPRS network, and the intelligent prediction module synchronizes big data in the cloud server and predicts the electrocardiogram data trend of the patient within 24 hours by combining the big data and an intelligent algorithm.
Preferably, the result generating module is used for generating a report according to the result processed by the central processing module by one key, analyzing the report, and if the abnormal electrocardio of the patient is displayed on the report, the abnormal reminding module gives an alarm and sends the generated report to the data sharing module, and the data sharing module is used for synchronizing the report to the receiving device.
The system comprises the following contents:
1) the method comprises the steps that a data acquisition module is used for acquiring electrocardio information and behavior information of a patient in real time, the electrocardio information comprises electrocardio signals and electrocardio data of the patient, the behavior information comprises the behavior states of limbs such as hands, feet and the like of the patient, whether the patient is in a static state, a walking state or a moving state and the like is judged, and the acquired information is classified, arranged and sent to a data analysis module;
2) firstly, the data analysis module comprehensively analyzes the received electrocardio data, analyzes whether the fluctuation range of the electrocardio data is normal or not, then analyzes the real-time human body behavior posture of the patient, judges the behavior characteristics of the patient, preliminarily analyzes whether the fluctuation range of the electrocardio data of the patient in the current state is reasonable or not with the patient electrocardio data and the behavior state under the current condition, and sends the electrocardio data to the central processing module;
3) the central processing module carries out comprehensive analysis again on the data transmitted by the data analysis module to generate a processing result, then the result generation module generates a report in a key mode, the report is analyzed, if the electrocardio of the patient is displayed on the report to be abnormal, the abnormal reminding module is immediately enabled to send an alarm to remind the patient, meanwhile, the report is sent to the mobile terminal of the patient based on APP or a micro message public signal, meanwhile, the generated report is sent to the data sharing module, the data sharing module synchronizes the report to the receiving equipment, and the receiving equipment comprises a hospital terminal and a family mobile terminal.
(III) advantageous effects
The invention provides an electrocardiogram monitoring system. The method has the following beneficial effects:
1. according to the invention, the data acquisition module is used for acquiring the electrocardio information and the behavior information of the patient in real time, so that whether the fluctuation of the electrocardio data of the current state of the patient is reasonable or not can be preliminarily judged, then the central processing module is used for carrying out comprehensive analysis again, a report is generated by one key, the patient can be reminded through the mobile terminal and the abnormity reminding module, and meanwhile, the hospital and the family members can be informed of the abnormal data, so that the hospital and the family members can conveniently grasp the state of the patient in time, and the patient can be monitored in multiple directions.
2. According to the invention, by collecting and combining the electrocardiogram information and the behavior information of the patient, the accuracy of system analysis is improved, unnecessary troubles brought to the patient, the hospital and the family members due to analysis errors are reduced, and meanwhile, the electrocardiogram data trend of the patient within 24 hours can be predicted by combining the intelligent prediction module with big data and an intelligent algorithm to remind the patient to pay attention.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a data analysis module according to the present invention;
FIG. 3 is a schematic diagram of a data transmission module according to the present invention;
FIG. 4 is a schematic diagram of a localization tracking module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1 to 4, an embodiment of the present invention provides an electrocardiographic monitoring system, which includes a data acquisition module, a data analysis module, a data storage module, a cloud server, an intelligent prediction module, a data transmission module, a mobile terminal, a data sharing module, an abnormality prompting module, a localization tracking module, a result generation module, and a central processing module, wherein the data acquisition module is connected to the data analysis module, the data sharing module and the abnormality prompting module are both connected to the result generation module, the cloud server is respectively connected to the data storage module and the intelligent prediction module, and the data analysis module, the data storage module, the data transmission module, the mobile terminal, the localization tracking module, and the result generation module are all connected to the central processing module.
By collecting the electrocardio information and the behavior information of the patient, the accuracy of system analysis is improved, unnecessary troubles brought to the patient, the hospital and the family members by analysis errors are reduced, and meanwhile, the intelligent prediction module can predict the electrocardio data trend of the patient within 24 hours by combining big data and an intelligent algorithm to remind the patient to pay attention.
The data acquisition module is used for acquiring electrocardio information and behavior information of a patient in real time, classifying and sorting the acquired information and then sending the information to the data analysis module, the data analysis module comprises an electrocardio processing unit, a behavior processing unit and a pre-judging unit, the electrocardio processing unit is used for comprehensively analyzing the received electrocardio data and analyzing whether the fluctuation range of the electrocardio data is normal or not, the behavior processing unit is used for analyzing the real-time human body behavior posture of the patient and judging the behavior characteristics of the patient, the pre-judging unit is used for combining the electrocardio data and the behavior characteristics to preliminarily analyze whether the fluctuation range of the electrocardio data in the current state of the patient is reasonable or not and sending the fluctuation range to the central processing module, the data transmission module comprises a wireless Bluetooth unit and a GPRS network unit, the central processing module is connected with a mobile terminal through the wireless Bluetooth unit, and the data storage module, the positioning tracking module comprises a GPS positioning unit and a Beidou positioning unit, the GPS positioning unit is matched with the Beidou positioning unit for use and is used for positioning the position of a patient, so that the position of the patient can be more accurately positioned, the data storage module is used for receiving data and processed data by the central processing module and then sending the data to the cloud server through the GPRS network, the intelligent prediction module synchronizes the big data in the cloud server, the electrocardio data trend of the patient within 24 hours is predicted by combining the big data and an intelligent algorithm, the result generation module is used for generating a report in a one-key mode according to the result processed by the central processing module and analyzing the report, if the patient is abnormal in display on the report, the abnormality reminding module gives an alarm and sends the generated report to the data sharing module, and the data sharing module is used for synchronizing the report to the receiving device, the receiving equipment comprises a hospital terminal and a family member mobile terminal, and the family member can be associated with a mobile terminal APP of a patient or a micro-signal work number concerned by the patient through a mobile phone.
In the invention, the system comprises the following contents:
1) the method comprises the steps that a data acquisition module is used for acquiring electrocardio information and behavior information of a patient in real time, the electrocardio information comprises electrocardio signals and electrocardio data of the patient, the behavior information comprises the behavior states of limbs such as hands, feet and the like of the patient, whether the patient is in a static state, a walking state or a moving state and the like is judged, and the acquired information is classified, arranged and sent to a data analysis module;
2) firstly, the data analysis module comprehensively analyzes the received electrocardio data, analyzes whether the fluctuation range of the electrocardio data is normal or not, then analyzes the real-time human body behavior posture of the patient, judges the behavior characteristics of the patient, preliminarily analyzes whether the fluctuation range of the electrocardio data of the patient in the current state is reasonable or not with the patient electrocardio data and the behavior state under the current condition, and sends the electrocardio data to the central processing module;
3) the central processing module carries out comprehensive analysis again on the data transmitted by the data analysis module to generate a processing result, then the result generation module generates a report in a key mode, the report is analyzed, if the electrocardio of the patient is displayed on the report to be abnormal, the abnormal reminding module is immediately enabled to send an alarm to remind the patient, meanwhile, the report is sent to the mobile terminal of the patient based on APP or a micro message public signal, meanwhile, the generated report is sent to the data sharing module, the data sharing module synchronizes the report to the receiving equipment, and the receiving equipment comprises a hospital terminal and a family mobile terminal.
According to the invention, the data acquisition module is used for acquiring the electrocardio information and the behavior information of the patient in real time, so that whether the fluctuation of the electrocardio data of the current state of the patient is reasonable or not can be preliminarily judged, then the central processing module is used for carrying out comprehensive analysis again, a report is generated by one key, the patient can be reminded through the mobile terminal and the abnormity reminding module, and meanwhile, the hospital and the family members can be informed of the abnormal data, so that the hospital and the family members can conveniently grasp the state of the patient in time, and the patient can be monitored in multiple directions.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An electrocardiographic monitoring system, characterized in that: the system comprises a data acquisition module, a data analysis module, a data storage module, a cloud server, an intelligent prediction module, a data transmission module, a mobile terminal, a data sharing module, an abnormity reminding module, a positioning tracking module, a result generation module and a central processing module, wherein the data acquisition module is connected with the data analysis module, the data sharing module and the abnormity reminding module are connected with the result generation module, the cloud server is respectively connected with the data storage module and the intelligent prediction module, and the data analysis module, the data storage module, the data transmission module, the mobile terminal, the positioning tracking module and the result generation module are all connected with the central processing module.
2. The system of claim 1, wherein: the data acquisition module is used for acquiring the electrocardio information and the behavior information of the patient in real time, classifying and sorting the acquired information and then sending the information to the data analysis module.
3. The system of claim 1, wherein: the data analysis module comprises an electrocardio processing unit, a behavior processing unit and a pre-judging unit, wherein the electrocardio processing unit is used for comprehensively analyzing received electrocardio data and analyzing whether the fluctuation range of the electrocardio data is normal, the behavior processing unit is used for analyzing the real-time human behavior posture of a patient and judging the behavior characteristics of the patient, and the pre-judging unit is used for primarily analyzing whether the fluctuation range of the electrocardio data of the current state of the patient is reasonable or not by combining the electrocardio data and the behavior characteristics and sending the electrocardiogram data to the central processing module.
4. The system of claim 1, wherein: the data transmission module comprises a wireless Bluetooth unit and a GPRS network unit, the central processing module is connected with the mobile terminal through the wireless Bluetooth unit, and the data storage module is connected with the cloud server through the GPRS network unit.
5. The system of claim 1, wherein: the positioning tracking module comprises a GPS positioning unit and a Beidou positioning unit, and the GPS positioning unit is matched with the Beidou positioning unit for positioning the position of a patient.
6. The system of claim 1, wherein: the data storage module is used for receiving the data received by the central processing module and the processed data and then sending the data to the cloud server through the GPRS network, the intelligent prediction module synchronizes big data in the cloud server, and the electrocardio data trend of the patient within 24 hours is predicted by combining the big data and an intelligent algorithm.
7. The system of claim 1, wherein: the result generation module is used for generating a report according to the result processed by the central processing module by one key, analyzing the report, if the abnormal electrocardio of the patient is displayed on the report, the abnormal reminding module gives an alarm, and simultaneously sends the generated report to the data sharing module, and the data sharing module is used for synchronizing the report to the receiving equipment.
8. The system according to any one of claims 1-7, wherein: the system comprises the following contents:
1) the method comprises the steps that a data acquisition module is used for acquiring electrocardio information and behavior information of a patient in real time, the electrocardio information comprises electrocardio signals and electrocardio data of the patient, the behavior information comprises the behavior states of limbs such as hands, feet and the like of the patient, whether the patient is in a static state, a walking state or a moving state and the like is judged, and the acquired information is classified, arranged and sent to a data analysis module;
2) firstly, the data analysis module comprehensively analyzes the received electrocardio data, analyzes whether the fluctuation range of the electrocardio data is normal or not, then analyzes the real-time human body behavior posture of the patient, judges the behavior characteristics of the patient, preliminarily analyzes whether the fluctuation range of the electrocardio data of the patient in the current state is reasonable or not with the patient electrocardio data and the behavior state under the current condition, and sends the electrocardio data to the central processing module;
3) the central processing module carries out comprehensive analysis again on the data transmitted by the data analysis module to generate a processing result, then the result generation module generates a report in a key mode, the report is analyzed, if the electrocardio of the patient is displayed on the report to be abnormal, the abnormal reminding module is immediately enabled to send an alarm to remind the patient, meanwhile, the report is sent to the mobile terminal of the patient based on APP or a micro message public signal, meanwhile, the generated report is sent to the data sharing module, the data sharing module synchronizes the report to the receiving equipment, and the receiving equipment comprises a hospital terminal and a family mobile terminal.
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| CN202010683943.4A CN111768879A (en) | 2020-07-16 | 2020-07-16 | Electrocardio monitoring system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112657050A (en) * | 2020-12-01 | 2021-04-16 | 北京工业大学 | Artificial heart control system based on Internet of things edge calculation and operation method |
| CN112932500A (en) * | 2021-01-29 | 2021-06-11 | 联想(北京)有限公司 | Electrocardio abnormity processing method, device and system |
| CN113096826A (en) * | 2021-03-27 | 2021-07-09 | 浙江大学 | Artificial liver data acquisition intelligent analysis system and method |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678098A (en) * | 2016-02-23 | 2016-06-15 | 济宁中科大象医疗电子科技有限公司 | Cloud platform based remote electrocardiogram monitoring and health management system and realization method |
-
2020
- 2020-07-16 CN CN202010683943.4A patent/CN111768879A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105678098A (en) * | 2016-02-23 | 2016-06-15 | 济宁中科大象医疗电子科技有限公司 | Cloud platform based remote electrocardiogram monitoring and health management system and realization method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112657050A (en) * | 2020-12-01 | 2021-04-16 | 北京工业大学 | Artificial heart control system based on Internet of things edge calculation and operation method |
| CN112932500A (en) * | 2021-01-29 | 2021-06-11 | 联想(北京)有限公司 | Electrocardio abnormity processing method, device and system |
| CN113096826A (en) * | 2021-03-27 | 2021-07-09 | 浙江大学 | Artificial liver data acquisition intelligent analysis system and method |
| CN113096826B (en) * | 2021-03-27 | 2023-11-24 | 浙江大学 | Intelligent analysis system and method for artificial liver data acquisition |
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