CN104042208A - Electrocardiograph monitoring system - Google Patents
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- 238000012544 monitoring process Methods 0.000 title abstract description 27
- 238000004891 communication Methods 0.000 claims abstract description 10
- 238000010183 spectrum analysis Methods 0.000 claims description 10
- 230000000747 cardiac effect Effects 0.000 claims description 9
- 230000011664 signaling Effects 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 8
- 238000012706 support-vector machine Methods 0.000 claims description 7
- 230000002463 transducing effect Effects 0.000 claims description 6
- 238000011282 treatment Methods 0.000 abstract description 4
- 230000002159 abnormal effect Effects 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 208000017667 Chronic Disease Diseases 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
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- 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
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Abstract
The invention discloses an electrocardiograph monitoring system which comprises an electrocardiograph collection module and a cloud computing platform. The electrocardiograph collection module is in communication connection with the cloud computing platform. The electrocardiograph collection module is used for collecting sign information of a user in real time. The cloud computing platform is used for carrying out an intelligent algorithm according to the sign information and obtaining a pre-judgment result, and is further used for detecting the pre-judgment result; when the pre-judgment result is abnormal, the cloud computing platform is further used for pushing the pre-judgment result and the sign information to a medical care terminal to be judged again to obtain a final judgment result, and the final judgment result is fed back to the user. According to the electrocardiograph monitoring system, the pre-judgment result and the sign information are pushed to the medical care terminal through the cloud computing platform, the medical care terminal carries out judgment again according to the pre-judgment result and the sign information of the user, and feeds the obtained final judgment result back to the user, both-way transfer between user sign real-time monitoring and treatment suggestions is achieved, and the purpose of monitoring the user sign in real time is achieved.
Description
Technical field
The present invention relates to medical instruments field, particularly relate to a kind of electrocardiogram monitor system.
Background technology
Along with the living environment going from bad to worse with the life stress day by day increasing, the incidence rate of chronic disease day by day increases.Conventionally, for the treatment of chronic disease, be mostly to carry out again diagnosis and treatment after morbidity, so often missed the best opportunity for the treatment of.And, for special population (as: old people, the severe case in the observation period), its health is poor, adopt existing electrocardiogram monitor system to be merely able to realize monitoring, can not realize the bi-directional of monitoring result and diagnostic comments, thereby not reach the object of real real-time monitoring.
Meanwhile, the imbalance between limited medical facilities and the Medical need that day by day increases, has had a strong impact on the utilization rate of medical resource.
Summary of the invention
Based on this, be necessary for existing monitor system can not reach the object of real real-time monitoring and limited medical facilities and the Medical need that day by day increases between imbalance affect the problem of medical resource utilization rate, a kind of electrocardiogram monitor system is provided.
A kind of electrocardiogram monitor system providing for realizing the object of the invention, comprises electrocardiogram acquisition module and cloud computing platform, and described electrocardiogram acquisition module is connected with described cloud computing platform communication;
Described electrocardiogram acquisition module, for Real-time Collection user's sign information;
Described cloud computing platform, for according to described sign information, carries out intelligent algorithm, obtains pre-judged result;
Described cloud computing platform, also for detection of described pre-judged result;
When described pre-judgement results abnormity, described cloud computing platform is also for described pre-judged result and described sign information pushing to medical care terminal are again judged and obtain final judged result, and described final judged result is fed back to described user.
In an embodiment, also comprise FEMTOCELL mobile base station therein, described electrocardiogram acquisition module is connected with described FEMTOCELL mobile base station communication, and described FEMTOCELL mobile base station is connected by mobile core network with described cloud computing platform;
When described, while judgment result is that sudden illness in advance, described FEMTOCELL mobile base station, for described user is positioned, obtains described user's locating information;
Described cloud computing platform, also for pushing to described medical care terminal by described locating information and described pre-judged result with limit priority.
In an embodiment, described cloud computing platform comprises computing module, slip interception module, analysis module and judge module therein;
Described computing module, for described sign information is carried out to overall smart scanning algorithm, obtains all data of the described sign information in cardiac electrical cycle of described user, as this cycle data;
Described slip interception module, sets the window of preset length for described the cycle data and the last upper cycle data scanning that respectively this are scanned, and to preset step-length slip, intercepts respectively the first data set and second data set of described window length;
Described analysis module, for respectively described the first data set and described the second data set being carried out to time-domain analysis and power spectrumanalysis, obtains the first analysis result and the second analysis result;
Described judge module, for described the first analysis result and described the second analysis result being put into the judgment models that adopts support vector machine the to set up judgement of classifying, obtains described pre-judged result.
In an embodiment, described electrocardiogram acquisition module comprises electrocardio sensing unit, electrocardio transducing unit, data acquisition unit and Main Control Unit therein;
Described electrocardio sensing unit, for gathering described user's electrocardio physical signalling, and is converted to the electrocardio signal of telecommunication by described electrocardio physical signalling;
Described electrocardio transducing unit, for being converted to ECG simulator signal by the described electrocardio signal of telecommunication;
Described data acquisition unit, for receiving described ECG simulator signal, and is converted to electrocardiographicdigital digital signals by described ECG simulator signal;
Described Main Control Unit, for receiving described electrocardiographicdigital digital signals, integrates computing by intelligent Integrated Models to described electrocardiographicdigital digital signals, obtains described user's described sign information.
In an embodiment, described electrocardio sensing unit is 3 detection architecture that are comprised of three electrode slices therein.
In an embodiment, described cloud computing platform also comprises scheduler module, pushing module and feedback module therein;
Described scheduler module, for when the described pre-judgement results abnormity, mates described pre-judged result and dispatch with medical care information;
Described pushing module, for by described pre-judged result and described sign information pushing to the corresponding described medical care terminal of described medical care information;
Described feedback module, for again judging that according to described pre-judged result and described sign information the described final judged result and the handling suggestion that obtain feed back to described user by described medical care terminal.
In an embodiment, described cloud computing platform also comprises cloud storage platform therein;
Described cloud storage platform, for being stored to data base by described final judged result and described handling suggestion.
The beneficial effect of above-mentioned electrocardiogram monitor system: it is by electrocardiogram acquisition module Real-time Collection user's sign information, and the sign information being collected by cloud computing platform basis, carries out intelligent algorithm, obtains pre-judged result.Cloud computing platform detects pre-judged result, when pre-judgement results abnormity, by this pre-judged result and user's sign information pushing to medical care terminal.Medical care terminal according to pre-judged result and user's sign information, again judges, obtains final judged result.And the final judged result obtaining is fed back to user, realize user's sign Real-Time Monitoring and handling suggestion bi-directional, thereby reached the object of the real-time monitoring of user's sign.
And, the sign information that first it collected by cloud computing platform basis, carry out intelligent algorithm and obtain pre-judged result, both realized the object of the real-time monitoring of user's sign, also reduced the work that medical personnel investigate judgement simultaneously, thereby saved medical personnel's the judgement time, improved medical personnel's work efficiency, and then effectively improved the utilization rate of medical resource.
Accompanying drawing explanation
Fig. 1 is electrocardiogram monitor system one specific embodiment Organization Chart;
The specific embodiment flow chart of Fig. 2 for adopting electrocardiogram monitor system to carry out cardiac monitoring;
Fig. 3 another specific embodiment flow chart for adopting electrocardiogram monitor system to carry out cardiac monitoring;
The another specific embodiment flow chart of Fig. 4 for adopting electrocardiogram monitor system to carry out cardiac monitoring.
The specific embodiment
For making technical solution of the present invention clearer, below in conjunction with drawings and the specific embodiments, the present invention is described in further details.
Referring to Fig. 1, as the electrocardiogram monitor system 100 of a specific embodiment, comprise electrocardiogram acquisition module 110 and cloud computing platform 120, electrocardiogram acquisition module 110 is connected with cloud computing platform 120 communications.
Electrocardiogram acquisition module 110, for Real-time Collection user's sign information.
Cloud computing platform 120, for according to sign information, carries out intelligent algorithm, obtains pre-judged result.
Cloud computing platform 120, also for detection of pre-judged result.
When pre-judgement results abnormity, cloud computing platform 120 is also for pre-judged result and sign information pushing to medical care terminal 130 are again judged and obtain final judged result, and final judged result is fed back to user.
As the electrocardiogram monitor system 100 of a specific embodiment, it is by electrocardiogram acquisition module 110 Real-time Collection users' sign information.And the user's who is collected according to electrocardiogram acquisition module 110 by cloud computing platform 120 sign information carries out intelligent algorithm, obtain characterizing the pre-judged result of user's sign situation.By detecting this pre-judged result, when this pre-judgement results abnormity, cloud computing platform 120 also by by pre-judged result and sign information pushing to medical care terminal 130, pre-judged result and sign information that medical care terminal 130 pushes according to cloud computing platform 120 judge again, thereby obtain final judged result, and the final judged result obtaining is fed back to user.Realize the Real-Time Monitoring of user's sign and the bi-directional of processing in real time, thereby realized the object of real real-time monitoring.
And the user's who collects according to electrocardiogram acquisition module 110 by cloud computing platform 120 sign information, carries out intelligent algorithm, obtain characterizing the pre-judged result of user's sign.Both realize the real-time judge to user's sign, and also reduced the work of medical personnel's investigation judgement simultaneously, and then shortened the time that medical personnel judge, improved medical personnel's work efficiency, finally effectively improved the utilization rate of medical resource.
Referring to Fig. 2, the flow chart that adopts a specific embodiment of above-mentioned electrocardiogram monitor system 100 to carry out cardiac monitoring.Be specially:
Step S100, employing electrocardiogram acquisition module 110 Real-time Collection users' sign information.
Step S200, the cloud computing platform 120 being connected with 110 communications of electrocardiogram acquisition module, according to sign information, carries out intelligent algorithm, obtains pre-judged result.
Step S300, meanwhile, cloud computing platform 120 detects pre-judged result.
Step S400, when pre-judgement results abnormity, cloud computing platform 120 again judges pre-judged result and sign information pushing to medical care terminal and obtains final judged result, and final judged result is fed back to user.
It is by electrocardiogram acquisition module 110 Real-time Collection users' sign information, and the user's that cloud computing platform 120 collects according to electrocardiogram acquisition module 110 sign information, carries out intelligent algorithm and obtain pre-judged result.And detect pre-judged result, when pre-judgement results abnormity, pre-judged result shows that user's sign may be when ill, by pre-judged result and sign information pushing to medical care terminal 130.Medical care terminal 130 judges again according to pre-judged result and user's sign information, and then obtain final judged result, and the final judged result obtaining is fed back to user, realize the Real-Time Monitoring of user's sign and the bi-directional of handling suggestion, reached the object of the real-time monitoring of user's sign.
And, cloud computing platform 120 passes through according to user's sign information, carry out intelligent algorithm and obtain pre-judged result, reduced the work that medical personnel investigate judgement, and then shortened time that medical personnel investigate judgement, improve medical personnel's work efficiency, finally effectively improved the utilization rate of medical resource.
Wherein, it should be noted that, electrocardiogram acquisition module 110 comprises electrocardio sensing unit, electrocardio transducing unit, data acquisition unit and Main Control Unit (not shown).
Electrocardio sensing unit, for gathering user's electrocardio physical signalling, and is converted to the electrocardio signal of telecommunication by electrocardio physical signalling.
Electrocardio transducing unit, for being converted to ECG simulator signal by the electrocardio signal of telecommunication.
Data acquisition unit, for receiving ECG simulator signal, and is converted to electrocardiographicdigital digital signals by ECG simulator signal.
Main Control Unit, for receiving electrocardiographicdigital digital signals, integrates computing by intelligent Integrated Models to electrocardiographicdigital digital signals, obtains user's sign information.
As a kind of embodiment, electrocardio sensing unit is 3 detection architecture that are comprised of three electrode slices.
By formed the electrocardio sensing unit of 3 detection architecture by three electrode slices, three electrode slices are all fitted near user's heart, by 3 detection modes, user's electrocardio physical signalling is gathered.It is simple in structure, low in energy consumption, has reduced the frequency of changing battery.
Meanwhile, the Main Control Unit in electrocardiogram acquisition module 110 is integrated computing by intelligent Integrated Models to the electrocardiographicdigital digital signals after a series of conversions, obtains user's sign information, has improved the robustness of electrocardiogram acquisition module 110.
Wherein, by intelligent Integrated Models, the electrocardiographicdigital digital signals being converted to is integrated to computing, specifically can be: electrocardiographicdigital digital signals is added to time tag, and encode and compression etc., thereby obtain user's sign information.
Treat that electrocardiogram acquisition module 110 Real-time Collections are to user's electrocardio physical signalling, and electrocardio physical signalling is carried out to a series of electrocardiographicdigital digital signals that are converted to, after being user's sign information, cloud computing platform 120 can carry out intelligent algorithm according to user's sign information, obtains pre-judged result.Wherein:
Cloud computing platform 120 comprises computing module, slip interception module, analysis module and judge module (not shown).
Computing module, for sign information is carried out to overall smart scanning algorithm, obtains all data of the sign information in cardiac electrical cycle of user, as this cycle data.
Slip interception module, sets the window of preset length for this cycle data and the last upper cycle data scanning that respectively this are scanned, and to preset step-length slip, intercepts respectively the first data set and second data set of described window length.
Analysis module, for respectively the first data set and the second data set being carried out to time-domain analysis and power spectrumanalysis, obtains the first analysis result and the second analysis result.
Judge module, for the first analysis result and the second analysis result being put into the judgment models that adopts support vector machine the to set up judgement of classifying, obtains pre-judged result.
It is by arranging computing module, slip interception module, analysis module and judge module at cloud computing platform 120, the intelligent algorithm of realization based on time-domain analysis, power spectrumanalysis and support vector machine, by this intelligent algorithm user, carry out real-time monitoring and judgement, save medical personnel and investigated judgement work, thereby improved judging efficiency.
Concrete, referring to Fig. 3, the flow chart that adopts another specific embodiment of above-mentioned electrocardiogram monitor system to carry out cardiac monitoring.First perform step S020, read a cycle data.And by execution step S210, the sign information collecting is carried out to overall smart scanning algorithm, find out all data in electrocardio Period Process of user, as this cycle data (identify electrocardiogram (ECG) data as this cycle data) in one-period.Last time is carried out to cycle data that overall smart scanning algorithm scans as a upper cycle data.
Secondly, execution step S220, (is one to the number of the window of the preset length of this cycle data and a upper cycle data setting respectively to the window of this cycle data and a upper cycle data setting preset length respectively.), and step-length is slided or the first data set and second data set of the window length that mobile intercepting sets (are set the window of preset length, and intercepted respectively two groups of electrocardiosignaies to preset.Wherein one group of electrocardiosignal is the first data set, and other one group of electrocardiosignal is the second data set).
Wherein, to can be length be the window of 100 to the window of preset length.The first data set, for being the window of 100 to this cycle data preseting length, being take and preset the multi-group data that step-length is slided or the length of mobile intercepting is at 100; The second data set is for to be similarly the window of 100 to a upper cycle data preseting length, and take the multi-group data that same default step-length is slided or the identical length of mobile intercepting is at 100.
Then, execution step S230, carries out time-domain analysis and power spectrumanalysis (two groups of electrocardiosignaies being carried out to time-domain analysis and power spectrumanalysis) to the first data set and the second data set respectively, obtains the first analysis result and the second analysis result.By the first data set is carried out to time-domain analysis and power spectrumanalysis, obtain the first analysis result; The second data set is carried out to time-domain analysis and power spectrumanalysis, obtain the second analysis result.
Finally, execution step S240, puts into the judgment models that adopts support vector machine the to set up judgement of classifying by the first analysis result and the second analysis result, obtains pre-judged result.
Wherein, by execution step S300, detect pre-judged result.When pre-judgement results abnormity, perform step S400, user is positioned, and by pre-judged result and user's sign information pushing to medical care terminal.
When pre-judged result is normal, perform step S400 ' ', this cycle data is preserved as a upper cycle data, and returned to execution step S020, again read a cycle data.
It carries out real-time judge by the intelligent algorithm based on time-domain analysis, power spectrumanalysis and support vector machine to user's sign, has saved the work that medical personnel investigate judgement, has shortened the time that medical personnel investigate, thereby has improved judging efficiency.
Cloud computing platform 120, by according to sign information, carries out the intelligent algorithm based on time-domain analysis, power spectrumanalysis and support vector machine, obtains pre-judged result.Due to user's sign situation exist multiple, as abnormal (be user's sign may for ill), sudden illness (being that user's sign is for suffering from sudden illness) and normal (being that user's sign is well).Wherein:
When user's sign is sudden illness, referring to Fig. 1, as a kind of embodiment, electrocardiogram monitor system 100 also comprises FEMTOCELL (flying honeycomb) mobile base station 140, electrocardiogram acquisition module 110 is connected with 140 communications of FEMTOCELL mobile base station, and FEMTOCELL mobile base station 140 is connected by mobile core network with cloud computing platform 120.
When judgment result is that sudden illness in advance, FEMTOCELL mobile base station 140, for user is positioned, obtains user's locating information.
Cloud computing platform 120, also for pushing to medical care terminal 130 by locating information and pre-judged result with limit priority.
It positions by 140 pairs of the FEMTOCELL mobile base stations user who is connected with 110 communications of electrocardiogram acquisition module is set, and obtains user's locating information.And by being set, FEMTOCELL mobile base station 140 is connected by mobile core network with cloud computing platform 120, cloud computing platform 120 is connected with 130 communications of medical care terminal, realizes user's locating information and pre-judged result are pushed to medical care terminal 130 with limit priority.With prompting medical personnel, carry out automatic rescue.It has improved rescue efficiency effectively, and the infringement that sudden illness is caused user drops to minimum, for user's personal safety provides reliable guarantee.
It should be noted that, while adopting the navigation systems such as GPS (Global Positioning System, global positioning system) to position user, when indoor coverage of signal is poor, be difficult to locate accurately.Because FEMTOCELL mobile base station 140 is according to the microminiature mobile base station of 3G development and the release of mobile broadband variation tendency, can improve well indoor coverage of signal quality, therefore can carry out real-time accessible location by 140 pairs of FEMTOCELL mobile base stations user, guarantee accuracy and the promptness of user's locating information.
Wherein, FEMTOCELL mobile base station 140 can consist of FEMTOCELL CPE141 and FEMTOCELL gateway 142.FEMTOCELL CPE141 and FEMTOCELL gateway 142 are by broadband connection.
Concrete, referring to Fig. 4, when user's sign is sudden illness, by execution step S400 ', by user is positioned, obtain user's locating information; With step S500 ', user's locating information and pre-judged result are pushed to medical care terminal with limit priority.With prompting medical personnel, carry out automatic rescue.Making an immediate response when it has been realized burst disease and occurs, the object of judgement immediately, the phenomenon of having avoided relief to delay, has improved rescue efficiency effectively, and the infringement that sudden illness is caused user drops to minimum, for user's personal safety provides reliable guarantee.
When user's sign may be when ill, be that cloud computing platform 120 is according to sign information, while carrying out pre-judgement results abnormity that intelligent algorithm obtains, can be by cloud computing platform 120 by pre-judged result and sign information pushing to medical care terminal 130, again judge and obtain final judged result, and the final judged result obtaining is fed back to user.Concrete, as a kind of embodiment, cloud computing platform 120 also comprises scheduler module, pushing module and feedback module (not shown);
Scheduler module, for when judging results abnormity in advance, mates pre-judged result and dispatch with medical care information.
Pushing module, for by pre-judged result and sign information pushing to the medical care terminal matching with pre-judged result.
Feedback module, for again judging that according to pre-judged result and sign information the final judged result and the handling suggestion that obtain feed back to user by medical care terminal.
When pre-judgement results abnormity, by scheduler module, pre-judged result is mated with medical care information (doctor cures mainly major field, the current busy degree of doctor, doctor geographical position of living in), and according to doctor, cure mainly major field, the current busy degree of doctor, doctor geographical position of living in pre-judged result and medical care information are dispatched, the object of optimization Intelligent Matching is carried out in realization to pre-judged result and medical care information, thereby for user selects optimal diagnostician, effectively improved the utilization rate of medical resource.Meanwhile, saved the time that user selects.
When scheduler module is mated pre-judged result and is dispatched with medical care information after, pushing module by pre-judged result and sign information pushing to the medical care terminal 130 matching with it.By medical care terminal 130, according to pre-judged result and sign information, again judge, obtain final judged result and with the corresponding handling suggestion of final judged result.
Medical care terminal 130 obtains after final judged result and handling suggestion according to pre-judged result and sign information, feedback module feeds back to user by the final judged result and the handling suggestion that obtain, the bi-directional that has realized the monitoring of user's sign and processed, contribute to user to process in time according to the handling suggestion of medical care terminal 130 feedbacks, prevented from incuring loss through delay the processing phenomenon on opportunity.
Meanwhile, when feedback module feeds back to user by final judged result and handling suggestion, as a kind of embodiment, cloud computing platform 120 also comprises cloud storage platform (not shown).Cloud storage platform, for being stored to data base by final judged result and handling suggestion.
By cloud storage platform, final judged result and handling suggestion being stored in data base, is the permanent reservation historical information of user, is embodied as that user retains and the object of management historical data, so that user such as searches and call at the associative operation in the future.When user runs into same pre-judged result again, can directly in data base, recall corresponding handling suggestion, saved the time, improved efficiency.
Concrete, referring to Fig. 4, adopt above-mentioned electrocardiogram monitor system to carry out the another specific embodiment flow chart of cardiac monitoring.When pre-judgement results abnormity, by execution step S040, extract user's sign information, and perform step S410, pre-judged result is mated and dispatched with medical care information (doctor cures mainly major field, the current busy degree of doctor, doctor geographical position of living in), pre-judged result and medical care information are carried out to optimized Intelligent Matching, thereby for user selects optimal treatment doctor, effectively improved the utilization rate of medical resource.Meanwhile, saved the time that user selects.
After pre-judged result is mated with medical care information and dispatching, execution step S420, by pre-judged result and sign information pushing to the medical care terminal matching with it.By medical care terminal, according to pre-judged result and sign information, again judge and obtain final judged result, and with the corresponding handling suggestion of final judged result.
Medical care terminal obtains after final judged result and handling suggestion according to pre-judged result and sign information, by execution step S430, final judged result and handling suggestion that submission obtains, and then execution step S440, feed back to user by the final judged result and the handling suggestion that obtain.And step S450, to user, issue information in real time.It can issue by voice message pattern.Realize the Real-Time Monitoring of user's sign and the bi-directional of handling suggestion, contributed to user to process in time according to the handling suggestion of medical care terminal feedback, prevented from incuring loss through delay the processing phenomenon on opportunity.
Meanwhile, when final judged result and handling suggestion are fed back to user, also can perform step S440 ', final judged result and handling suggestion are stored in data base.For the permanent reservation historical information of user, so that user such as searches at the associative operation in the future.When user runs into same pre-judged result again, can directly in data base, recall corresponding handling suggestion, saved the time, improved efficiency.
As the electrocardiogram monitor system of a specific embodiment, by electrocardiogram acquisition module Real-time Collection user's sign information.And the user's who is collected according to electrocardiogram acquisition module by cloud computing platform sign information carries out intelligent algorithm, obtain characterizing the pre-judged result of user's sign situation.By detecting this pre-judged result, when this pre-judgement results abnormity, cloud computing platform also by by pre-judged result and sign information pushing to medical care terminal, pre-judged result and sign information that medical care terminal pushes according to cloud computing platform judge again, thereby obtain final judged result, and the final judged result obtaining is fed back to user.Realize the Real-Time Monitoring of user's sign and the bi-directional of processing in real time, thereby realized the object of real real-time monitoring.
And, by cloud computing platform, according to user's sign information, carry out intelligent algorithm, obtain characterizing the pre-judged result of user's sign.Both realize the real-time judge to user's sign, and also reduced the work of medical personnel's investigation judgement simultaneously, and then shortened the time that medical personnel judge, improved medical personnel's work efficiency, finally effectively improved the utilization rate of medical resource.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (7)
1. an electrocardiogram monitor system, is characterized in that, comprises electrocardiogram acquisition module and cloud computing platform, and described electrocardiogram acquisition module is connected with described cloud computing platform communication;
Described electrocardiogram acquisition module, for Real-time Collection user's sign information;
Described cloud computing platform, for according to described sign information, carries out intelligent algorithm, obtains pre-judged result;
Described cloud computing platform, also for detection of described pre-judged result;
When described pre-judgement results abnormity, described cloud computing platform is also for described pre-judged result and described sign information pushing to medical care terminal are again judged and obtain final judged result, and described final judged result is fed back to described user.
2. electrocardiogram monitor system according to claim 1, it is characterized in that, also comprise FEMTOCELL mobile base station, described electrocardiogram acquisition module is connected with described FEMTOCELL mobile base station communication, and described FEMTOCELL mobile base station is connected by mobile core network with described cloud computing platform;
When described, while judgment result is that sudden illness in advance, described FEMTOCELL mobile base station, for described user is positioned, obtains described user's locating information;
Described cloud computing platform, also for pushing to described medical care terminal by described locating information and described pre-judged result with limit priority.
3. electrocardiogram monitor system according to claim 1, is characterized in that, described cloud computing platform comprises computing module, slip interception module, analysis module and judge module;
Described computing module, for described sign information is carried out to overall smart scanning algorithm, obtains all data of the described sign information in cardiac electrical cycle of described user, as this cycle data;
Described slip interception module, sets the window of preset length for described the cycle data and the last upper cycle data scanning that respectively this are scanned, and to preset step-length slip, intercepts respectively the first data set and second data set of described window length;
Described analysis module, for respectively described the first data set and described the second data set being carried out to time-domain analysis and power spectrumanalysis, obtains the first analysis result and the second analysis result;
Described judge module, for described the first analysis result and described the second analysis result being put into the judgment models that adopts support vector machine the to set up judgement of classifying, obtains described pre-judged result.
4. electrocardiogram monitor system according to claim 1, is characterized in that, described electrocardiogram acquisition module comprises electrocardio sensing unit, electrocardio transducing unit, data acquisition unit and Main Control Unit;
Described electrocardio sensing unit, for gathering described user's electrocardio physical signalling, and is converted to the electrocardio signal of telecommunication by described electrocardio physical signalling;
Described electrocardio transducing unit, for being converted to ECG simulator signal by the described electrocardio signal of telecommunication;
Described data acquisition unit, for receiving described ECG simulator signal, and is converted to electrocardiographicdigital digital signals by described ECG simulator signal;
Described Main Control Unit, for receiving described electrocardiographicdigital digital signals, integrates computing by intelligent Integrated Models to described electrocardiographicdigital digital signals, obtains described user's described sign information.
5. electrocardiogram monitor system according to claim 4, is characterized in that, described electrocardio sensing unit is 3 detection architecture that are comprised of three electrode slices.
6. according to the electrocardiogram monitor system described in claim 1 to 5 any one, it is characterized in that, described cloud computing platform also comprises scheduler module, pushing module and feedback module;
Described scheduler module, for when the described pre-judgement results abnormity, mates described pre-judged result and dispatch with medical care information;
Described pushing module, for by described pre-judged result and described sign information pushing to the corresponding described medical care terminal of described medical care information;
Described feedback module, for again judging that according to described pre-judged result and described sign information the described final judged result and the handling suggestion that obtain feed back to described user by described medical care terminal.
7. electrocardiogram monitor system according to claim 6, is characterized in that, described cloud computing platform also comprises cloud storage platform;
Described cloud storage platform, for being stored to data base by described final judged result and described handling suggestion.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104639655A (en) * | 2015-03-09 | 2015-05-20 | 上海万达全程健康门诊部有限公司 | Health sign monitoring data acquisition method based on mobile gateway |
| CN104680034A (en) * | 2015-03-24 | 2015-06-03 | 深圳市尚荣医疗股份有限公司 | Digitalized health management cloud platform and data processing method thereof |
| CN105982660A (en) * | 2014-12-11 | 2016-10-05 | 邹朝圣 | Electrocardio sensing system |
| CN107580471A (en) * | 2015-04-02 | 2018-01-12 | 微软技术许可有限责任公司 | Wearable pulse sensing device signal quality estimation |
| CN108309276A (en) * | 2018-01-31 | 2018-07-24 | 希蓝科技（北京）有限公司 | Human body monitoring system and method based on high in the clouds |
| WO2020258333A1 (en) * | 2019-06-28 | 2020-12-30 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring and processing method and device, and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1422591A (en) * | 2001-12-05 | 2003-06-11 | 丽台科技股份有限公司 | Sensor capable of synchronously measuring electrocardio, pulse and sound-wave signals from neck |
| CN101754364A (en) * | 2008-12-01 | 2010-06-23 | 华为技术有限公司 | Positioning method and device of Femtocell |
| EP2492831A1 (en) * | 2011-02-10 | 2012-08-29 | Pensiero Medical Electronics Corp. | Biomedical device with near field communication (NFC) function and method thereof for user identification, biomedical data measurement, biomedical data upload/download, biomedical data management, and remote medical care |
| CN202523065U (en) * | 2012-04-26 | 2012-11-07 | 刘闻 | Third-generation (3G) mobile medical emergency rescue system |
| US20130053712A1 (en) * | 2011-08-24 | 2013-02-28 | Kuo-Yuan Chang | Electronic vital-sign monitoring system |
| CN202801584U (en) * | 2012-08-31 | 2013-03-20 | 魏亚东 | Human body health monitoring system based on mobile phone cloud computing platform |
| CN103356183A (en) * | 2013-07-05 | 2013-10-23 | 中国科学院深圳先进技术研究院 | ECG acquisition platform |
| CN103654727A (en) * | 2013-09-12 | 2014-03-26 | 王磊 | Traditional Chinese medicine pulse condition detecting system |
-
2014
- 2014-06-26 CN CN201410301032.5A patent/CN104042208B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1422591A (en) * | 2001-12-05 | 2003-06-11 | 丽台科技股份有限公司 | Sensor capable of synchronously measuring electrocardio, pulse and sound-wave signals from neck |
| CN101754364A (en) * | 2008-12-01 | 2010-06-23 | 华为技术有限公司 | Positioning method and device of Femtocell |
| EP2492831A1 (en) * | 2011-02-10 | 2012-08-29 | Pensiero Medical Electronics Corp. | Biomedical device with near field communication (NFC) function and method thereof for user identification, biomedical data measurement, biomedical data upload/download, biomedical data management, and remote medical care |
| US20130053712A1 (en) * | 2011-08-24 | 2013-02-28 | Kuo-Yuan Chang | Electronic vital-sign monitoring system |
| CN202523065U (en) * | 2012-04-26 | 2012-11-07 | 刘闻 | Third-generation (3G) mobile medical emergency rescue system |
| CN202801584U (en) * | 2012-08-31 | 2013-03-20 | 魏亚东 | Human body health monitoring system based on mobile phone cloud computing platform |
| CN103356183A (en) * | 2013-07-05 | 2013-10-23 | 中国科学院深圳先进技术研究院 | ECG acquisition platform |
| CN103654727A (en) * | 2013-09-12 | 2014-03-26 | 王磊 | Traditional Chinese medicine pulse condition detecting system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105982660A (en) * | 2014-12-11 | 2016-10-05 | 邹朝圣 | Electrocardio sensing system |
| CN104639655A (en) * | 2015-03-09 | 2015-05-20 | 上海万达全程健康门诊部有限公司 | Health sign monitoring data acquisition method based on mobile gateway |
| CN104680034A (en) * | 2015-03-24 | 2015-06-03 | 深圳市尚荣医疗股份有限公司 | Digitalized health management cloud platform and data processing method thereof |
| CN104680034B (en) * | 2015-03-24 | 2018-07-10 | 深圳市尚荣医疗股份有限公司 | A kind of digital health management cloud platform and its data processing method |
| CN107580471A (en) * | 2015-04-02 | 2018-01-12 | 微软技术许可有限责任公司 | Wearable pulse sensing device signal quality estimation |
| US10765331B2 (en) | 2015-04-02 | 2020-09-08 | Microsoft Technology Licensing, Llc | Wearable pulse sensing device signal quality estimation |
| CN107580471B (en) * | 2015-04-02 | 2020-12-04 | 微软技术许可有限责任公司 | Wearable pulse sensing device signal quality estimation |
| CN108309276A (en) * | 2018-01-31 | 2018-07-24 | 希蓝科技（北京）有限公司 | Human body monitoring system and method based on high in the clouds |
| WO2020258333A1 (en) * | 2019-06-28 | 2020-12-30 | 深圳迈瑞生物医疗电子股份有限公司 | Monitoring and processing method and device, and storage medium |
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