CN109326347A - A kind of electrocardiogram remote monitoring system based on artificial intelligence - Google Patents
A kind of electrocardiogram remote monitoring system based on artificial intelligence Download PDFInfo
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- CN109326347A CN109326347A CN201811195093.2A CN201811195093A CN109326347A CN 109326347 A CN109326347 A CN 109326347A CN 201811195093 A CN201811195093 A CN 201811195093A CN 109326347 A CN109326347 A CN 109326347A
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- electrocardiogram
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Abstract
The invention discloses a kind of electrocardiogram remote monitoring system based on artificial intelligence, patient end APP therein monitors the physiological datas such as the electrocardiogram of patient anywhere or anytime, and has a key calling function, hospital terminal, expert end APP are connected to through Cloud Server platform, the professional diagnosis and relief in time of hospital and expert are obtained, and is provided with the health condition that family end APP understands patient as guardian.Artificial intelligence analysis based on Cloud Server platform services the physiological datas such as the electrocardiogram of real-time monitoring patient, carries out preliminary screening, carries out last diagnostic by medical practitioner for suspicious data automatic push to hospital terminal and expert end APP.The system can significantly improve the working efficiency of medical practitioner, be very suitable to medical prevention and the health care of community and home for destitute.
Description
Technical field
The present invention relates to a kind of electrocardiogram remote monitoring system, especially a kind of electrocardiogram based on artificial intelligence is remotely supervised
Protecting system.
Background technique
With the progress of economic development and science and technology, more stringent requirements are proposed to personal health by people, while aging society
The ratio of meeting old solitary people is also higher and higher, national healthcare reform promotes community family doctor subscribed services.Therefore, in the family
The acquisition monitoring and diagnosis for realizing physiological signal, have become the developing direction of medical monitoring.Currently, monitoring hardware technological development
It is increasingly mature, the technologies such as electrocardio, blood pressure, body temperature, blood oxygen saturation have been carried out miniaturization and it is integrated.
Bluetooth technology is a kind of radio technology of short haul connection, is obtained in operating platforms such as mobile phone, plate, PC
It supports extensively.It can be communicated using Bluetooth technology with cross-platform data, the low-power consumption of bluetooth is very suitable to battery powered equipment.
In recent years, have the smart phone of communication and payment function, increasingly become indispensable in people's life and set
It is standby.Therefore, the bridge using mobile terminals such as smart phones as domestic monitoring equipment and cloud data center, while as interconnection
The means of payment for netting service, are the development trends of future home formula monitor system.
Electrocardiogram (ECG) is the main electric-physiology parameter of domestic medicine monitoring, and lead number is more, and data volume is big, is needed specially
Industry electrocardiogram doctor can just measure analysis.With the maturation of artificial intelligence technology, electrocardiogram Intellectual Analysis Technology (ECGAI)
Also functionization is progressed into.ECG data is carried out using ECGAI and carries out preliminary analysis, then is divided by professional electrocardiogram doctor
Analysis diagnosis confirmation, it is possible to reduce error rate improves the working efficiency of professional electrocardiogram doctor.
Summary of the invention
For overcome the deficiencies in the prior art, the purpose of the present invention is to provide a kind of electrocardiogram based on artificial intelligence is remote
Journey monitor system, the purpose of the present invention are implemented with the following technical solutions.
A kind of electrocardiogram remote monitoring system based on artificial intelligence, includes data acquisition unit, patient end, cloud service
Device platform, hospital terminal, Zhuan Jiaduan, family end；Wherein, the data acquisition unit is connected to conducting wire, leads to receive
The related data for the lead electrocardiogram that on line is collected into, the data acquisition unit further include having blue-teeth data sending module；
Patient end APP is installed, the patient end APP receives the number by the blue tooth interface on patient end on the patient end
According to the data that acquisition unit is sent, and the artificial intelligence analysis's unit for transmitting data to the Cloud Server platform carries out just
Walk analyzing and diagnosing；The Cloud Server platform receives the data that the patient end is sent, and the Cloud Server platform includes
Database, messaging service unit, file service unit, artificial intelligence analysis's unit；The database is to store on patient end
The historical data of biography, the messaging service unit is to send message of the Cloud Server platform to each terminal, the text
Part service unit to according to the file of each terminal upload and/or download request, by file reception or under reach server-side,
Artificial intelligence analysis's unit it have the function that preliminary analysis is carried out to the ECG data that receives and is diagnosed；It is described
Hospital terminal is arranged within the hospital, the patient data information come to receive Cloud Server platform transmission；The expert end
It is the intelligent mobile terminal that expert holds, is mounted with expert end APP thereon, patient's letter can be consulted by Cloud Server platform
Breath, and the diagnostic message of expert can be sent to the hospital terminal and/or the patient end；On the family end
It is provided with family end APP, is connected to ECG data, the diagnosis report for obtaining patient in Cloud Server platform.
Preferably, the lead electrocardiogram is 7 leads or 12 lead electrocardiogram.
Preferably, the data acquisition unit is also connected to blood oxygen transducer, blood pressure sensor, respiration transducer, body
Temperature sensor and motion sensor, additionally it is possible to be connected to a key calling function button.
Preferably, artificial intelligence analysis's unit of the Cloud Server platform is capable of providing arrhythmia cordis, cardiac muscle
The tentative diagnosis function of the critical value early warning of infarct, atrial fibrillation monitoring, electrocardiogram.
Preferably, the hospital terminal can be connected to multiple expert ends, and energy by the Cloud Server platform
Enough messaging service units via Cloud Server platform provide text, voice and/or video communication service, by file service unit
The file delivery service of patient ECG's data is provided, to hold a consultation for difficult and complicated cases.
Using the electrocardiogram remote monitoring system of the invention based on artificial intelligence, patient can by patient end APP with
When upload ECG data everywhere, carry out inspection diagnosis into hospital without necessary, then pass through Cloud Server platform
And its it is connected to specialty analysis and the diagnosis of the hospital terminal of Cloud Server platform, expert end APP acquisition hospital and expert, and set
It is equipped with family end APP and is connected to Cloud Server platform, obtain the health condition of patient.It can be convenient using the system quick and high
Effect ground obtains the health status of patient.
The beneficial effects of the present invention are:
1) bluetooth and intelligent terminal combine, and are easy to implement telecommunication and facilitate payment, and it is single to be conducive to family data acquisition
The miniaturization and low cost of member；
2) Cloud Server platform is relied on, instant messaging, remote diagnosis, file download service is realized, facilitates doctor and patient
Timely abundant communication；
3) based on electrocardiogram artificial intelligence analysis service, free service can be both provided for user, also can intelligent prompt,
The working efficiency of medical practitioner is improved, error rate is reduced；
4) a key calling function can transmit patient information in time, improve treatment speed, reduce the widened wind of the state of an illness
Danger；
5) case history archive of contracted user is established automatically, is conducive to track patient history's inspection result and big data
Analysis.
Detailed description of the invention
Fig. 1 is the system structure diagram of the electrocardiogram remote monitoring system of the invention based on artificial intelligence.
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, the technical solution in inventive embodiments is carried out clearly and completely
Description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be noted that it can be directly on another component when component is referred to as " being fixed on " another component
Or there may also be components placed in the middle.When a component is considered as " connection " another component, it, which can be, is directly connected to
To another component or it may be simultaneously present component placed in the middle.When a component is considered as " being set to " another component, it
It can be and be set up directly on another component or may be simultaneously present component placed in the middle.Term as used herein is " vertical
", " horizontal ", "left", "right" and similar statement for illustrative purposes only.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.Term " and or " used herein includes one or more phases
Any and all combinations of the listed item of pass.
As shown in Figure 1, a kind of electrocardiogram remote monitoring system based on artificial intelligence, includes data acquisition unit, suffers from
Person end, Cloud Server platform, hospital terminal, Zhuan Jiaduan, family end.
Wherein, data acquisition unit is to acquire the electric physiological datas such as patient body-surface electrocardiogram.
Include electrocardio amplifying unit in data acquisition unit, using 7 lead electrocardiogram of 5 electrodes, or uses 10
12 lead electrocardiogram of standard of a electrode.For the ease of patient's exact placement electrode, data acquisition unit is additionally provided with electrode position
Set schematic diagram.
Data acquisition unit further includes having blue-teeth data sending module, and correspondingly, on patient end be provided with blue tooth interface,
The blue-teeth data sending module of the data acquisition unit is matched with the blue tooth interface on the patient end and is adopted to transmit data
The ECG data for the patient that collection unit receives.
Patient end is intelligent mobile terminal, very common and cost advantages, can use smart phone, such as
Android intelligent or IOS smart phone, smart phone can be linked into internet by mobile network.In the intelligence
Patient end APP is installed, patient end APP can receive the data of patient by the blue tooth interface on patient end, and lead on mobile phone
Mobile network is crossed to upload to patient data in Cloud Server platform.
Cloud Server platform both can choose builds on public cloud computing platform, also can choose using individually service
Device is built.Cloud service platform as entire ECG Telemonitor System core, assume responsibility for linking up each terminal and
The function of analyzing and processing data.
Further, Cloud Server platform includes database, messaging service unit, file service unit, artificial intelligence
Analytical unit.
Historical data of the database to store patient end upload, these historical datas include patient's name, age, property
Not, medical record data, idagnostic logout and data file at that time etc..It include the medical record data of many patients in database,
Construct the database of a big data.Particularly advantageously, it in these huge data basis, can be handled with big data
Mode and thinking construct artificial intelligence analysis's model, by continuous learning data and case history, obtain that accuracy is high, the reaction time is fast
Artificial intelligence diagnosis' function.
Messaging service unit is pushed to transmit Cloud Server platform to the information linked up between each terminal, such as system
Voice and view between message, the report of diagnostic result text, patient and the speech communication and video communication, each expert end of expert
Frequency communication etc., can guarantee that the information communication of entire family's electrocardiogram remote monitoring system is smooth without hindrance.
File service unit to according to the file of each terminal upload and/or download request, by file reception or under
Server-side is reached, such as: patient end APP, which uploads to patient data in the database of cloud service platform, forms patient data text
Part, expert end or hospital terminal to the Cloud Server platform request patient at this time or the monitoring data of some time, cloud clothes
The patient data files are then descended into expert end or the hospital terminal of request end by business device platform.
And artificial intelligence analysis's unit then constructs artificial intelligence analysis's model, the trouble based on magnanimity in database
The historical data of person is accurately and rapidly analyzed the data that patient uploads and is obtained just by machine learning algorithm system
The diagnostic result of step；It can provide that critical value early warning of arrhythmia cordis, myocardial infarction, atrial fibrillation monitoring, electrocardiogram etc. is preliminary to examine
Disconnected function.
Cloud service platform according to its database, messaging service unit, file service unit and artificial intelligence analysis's unit,
It can easily cope with the concurrent services of 24 hours large capacities seven days a week, and tentative diagnosis result is supplied to hospital terminal or specially
The doctor's behaviours reference at family end.
Hospital terminal is then arranged within the hospital, is similar to data monitoring center, is provided with telemonitoring center within the hospital,
Multiple large screens are provided with, clearly to show the historical data of single patient or the physical condition of multiple patients, are cured
The data cases that the doctor of institute receives according to hospital terminal make corresponding diagnostic result to the physical condition of patient.Hospital
Diagnostic result is being transmitted on patient end by terminal by Cloud Server platform, enables the patient to itself apparent physical condition.
Hospital terminal is also equipped with the function at teleconference center, for intractable case, if feel to have must for hospital
Organizes expert is wanted to be made a joint checkup, then the telemonitoring center of hospital can be connected to by Cloud Server platform participates in each of the consultation of doctors
On the expert end of a expert, and it is capable of providing real-time video, voice, text and data file transmitting function.The meeting of participation
The expert examined can by the case history of the smart phone downloading patient of oneself, this check data, then by video, voice with
And the mode of text carries out consultation of doctors discussion with other experts.
Expert end is the intelligent mobile terminal that expert holds, it is advantageous that is mounted on the smart phone of expert oneself specially
Family end APP can consult patient information by Cloud Server platform, and can send the diagnostic message of expert to described
Hospital terminal and/or the patient end.Meanwhile expert end APP can also participate in the hospital terminal of family's electrocardiogram monitor system
The joint examination of tissue.
Family end can be the smart phone of patient household, and family end APP is provided on the smart phone, is connected to
ECG data, the diagnosis report of patient are obtained in Cloud Server platform.And when hospital terminal or expert end provide diagnosis knot
When fruit and report, family numbers of patients can obtain relevant information by family end APP.
Advantageously, other than it can monitor the electrocardiogram (ECG) data of patient, blood oxygen transducer, blood pressure are also provided with
Sensor, respiration transducer, body temperature transducer, motion sensor, position sensor and a key calling function button, it is described
Data acquisition unit is then connected on above-mentioned sensor and button, can obtain GPS location, the oximetry data, blood of patient
The data such as pressure, breathing situation, body temperature situation, motion state, and these data are transmitted into hospital terminal by Cloud Server platform
Or on expert end, doctor or expert provide corresponding diagnosis when there is exception by the physical condition of these data monitorings patient
As a result and relevant early warning is issued to patient end and family end.It is additionally provided with a key calling function button, when patient body encounters
When emergency situation, patient can press a key calling function button, and the doctor of relevant hospital can rush towards in time scene and succour.
For the ease of the classification and management of database data, each patient is identified, the Home Tele-monitoring System system
It is provided with patient management system.According to the signing situation of patient, patient is divided into signing patient and non-signing patient, contract patient
Artificial intelligence analysis's diagnostic service of Cloud Server platform offer and being analyzed to identify for signing hospital's medical practitioner can be provided；
If having a question, patient by patient end APP and medical practitioner can also link up immediately and communicate, and enjoy preferably profession clothes
Business.And for non-signing patient, preliminary artificial intelligence analysis's diagnostic result of Cloud Server platform offer can only be provided, and
Diagnostic service without doctor or expert.
Certainly, non-signing patient can become signing and use after Cloud Server platform is registered and pays correlative charges
Family, the confirmation diagnostic service of the artificial intelligence analysis's diagnosis and doctor or expert that can also enjoy Cloud Server platform.
Account and password of the patient by patient end APP input registration, the label that Cloud Server platform passes through the patient of storage
About situation, and corresponding service is provided to patient.
It will be apparent to those skilled in the art that can make various other according to the above description of the technical scheme and ideas
Corresponding change and deformation, and all these changes and deformation all should belong to the protection scope of the claims in the present invention
Within.
Claims (5)
1. a kind of electrocardiogram remote monitoring system based on artificial intelligence, including data acquisition unit, patient end, Cloud Server are flat
Platform, hospital terminal, Zhuan Jiaduan, family end；It is characterized by:
The data acquisition unit is connected to conducting wire, the lead electrocardiogram being collected into receive conducting wire, the number
It further include having blue-teeth data sending module according to acquisition unit；
Patient end APP is installed, the patient end APP receives the data by blue tooth interface and acquires on the patient end
The data that unit is sent, and the artificial intelligence analysis's unit for transmitting data to the Cloud Server platform carries out preliminary analysis
Diagnosis；
The Cloud Server platform receives the data that the patient end is sent, the Cloud Server platform include database,
Messaging service unit, file service unit, artificial intelligence analysis's unit；History of the database to store patient end upload
Data, the messaging service unit is to send message of the Cloud Server platform to each terminal, the file service list
Member to according to the file of each terminal upload and/or download request, by file reception or under reach server-side, the people
Work intellectual analysis unit it have the function that preliminary analysis diagnosis is carried out to the ECG data that receives；
The patient data information that the hospital terminal setting comes within the hospital, to receive Cloud Server platform transmission；
The expert end is the intelligent mobile terminal that expert holds, and is mounted with expert end APP thereon, can pass through cloud service
Device platform consults patient information, and can send the diagnostic message of expert to the hospital terminal and/or the patient
End；
It is provided with family end APP on the family end, is connected to the electrocardiogram number for obtaining patient in Cloud Server platform
According to, diagnosis report.
2. the electrocardiogram remote monitoring system according to claim 1 based on artificial intelligence, which is characterized in that described leads
Joining electrocardiogram is 7 leads or 12 leads.
3. the electrocardiogram remote monitoring system according to claim 2 based on artificial intelligence, which is characterized in that the number
According to acquisition unit be also connected with blood oxygen transducer, blood pressure sensor, respiration transducer, body temperature transducer, motion sensor and
One key calling function button.
4. the electrocardiogram remote monitoring system according to claim 1 based on artificial intelligence, which is characterized in that the cloud
It is critical that artificial intelligence analysis's unit of server platform is capable of providing arrhythmia cordis, myocardial infarction, atrial fibrillation monitoring, electrocardiogram
It is worth the tentative diagnosis function of early warning.
5. the electrocardiogram remote monitoring system according to claim 1 based on artificial intelligence, which is characterized in that the doctor
Institute's terminal can be connected to multiple expert ends by the Cloud Server platform, and can be via the message of Cloud Server platform
Service unit provides text, voice and/or video communication service, provides the file of patient ECG's data by file service unit
Transmission service, to hold a consultation for difficult and complicated cases.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109770893A (en) * | 2019-03-08 | 2019-05-21 | 东南大学 | The method and device of atrial fibrillation position are quickly positioned in a kind of Holter analysis system |
| CN110148448A (en) * | 2019-05-31 | 2019-08-20 | 深圳市医信科技有限公司 | Child health care cloud appraisal procedure, cut-in method, method of seeing and treating patients and be based on child health care cloud remote evaluation method, system |
| CN110289089A (en) * | 2019-06-28 | 2019-09-27 | 陈科良 | A kind of intelligence auscultation system and its data processing method |
| CN110911006A (en) * | 2019-12-11 | 2020-03-24 | 深圳市科瑞康实业有限公司 | Data processing method of central monitoring system based on AI artificial intelligence analysis |
| CN110931098A (en) * | 2019-12-26 | 2020-03-27 | 广州合谐医疗科技有限公司 | Multi-body sign data remote acquisition and early warning system |
| CN111245960A (en) * | 2020-03-09 | 2020-06-05 | 福建环宇通信息科技股份公司 | Help-seeking service system based on kinetic energy power generation |
| CN112104692A (en) * | 2020-06-29 | 2020-12-18 | 黑龙江省医院 | Medical Internet of things health monitoring method |
| CN112289464A (en) * | 2020-10-16 | 2021-01-29 | 浙江大学山东工业技术研究院 | Cloud electrocardiogram diagnosis system based on artificial intelligence auxiliary diagnosis |
| CN112951416A (en) * | 2021-04-09 | 2021-06-11 | 天津医科大学第二医院 | Long-range electrocardio AI diagnoses platform based on big data |
| CN113257424A (en) * | 2021-07-16 | 2021-08-13 | 成都厚信健科技有限公司 | Telemedicine system based on big data |
| CN113741206A (en) * | 2021-09-08 | 2021-12-03 | 上海长征医院 | Smart home management system and application thereof |
| CN114760440A (en) * | 2022-03-22 | 2022-07-15 | 浙江大学 | Visual monitoring glasses |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109770893B (en) * | 2019-03-08 | 2022-11-18 | 东南大学 | Method and device for rapidly positioning atrial fibrillation position in Holter analysis system |
| CN109770893A (en) * | 2019-03-08 | 2019-05-21 | 东南大学 | The method and device of atrial fibrillation position are quickly positioned in a kind of Holter analysis system |
| CN110148448A (en) * | 2019-05-31 | 2019-08-20 | 深圳市医信科技有限公司 | Child health care cloud appraisal procedure, cut-in method, method of seeing and treating patients and be based on child health care cloud remote evaluation method, system |
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| CN112104692A (en) * | 2020-06-29 | 2020-12-18 | 黑龙江省医院 | Medical Internet of things health monitoring method |
| CN112289464A (en) * | 2020-10-16 | 2021-01-29 | 浙江大学山东工业技术研究院 | Cloud electrocardiogram diagnosis system based on artificial intelligence auxiliary diagnosis |
| CN112951416A (en) * | 2021-04-09 | 2021-06-11 | 天津医科大学第二医院 | Long-range electrocardio AI diagnoses platform based on big data |
| CN113257424A (en) * | 2021-07-16 | 2021-08-13 | 成都厚信健科技有限公司 | Telemedicine system based on big data |
| CN113257424B (en) * | 2021-07-16 | 2022-04-19 | 上海近则生物科技有限责任公司 | Telemedicine system based on big data |
| CN113741206A (en) * | 2021-09-08 | 2021-12-03 | 上海长征医院 | Smart home management system and application thereof |
| CN114760440A (en) * | 2022-03-22 | 2022-07-15 | 浙江大学 | Visual monitoring glasses |
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Application publication date: 20190212 |