CN104042208B - Electrocardiogram monitor system - Google Patents
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- 238000004891 communication Methods 0.000 claims abstract description 10
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- 230000000747 cardiac effect Effects 0.000 claims description 9
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- 238000012706 support-vector machine Methods 0.000 claims description 7
- 230000013011 mating Effects 0.000 claims description 6
- 230000002463 transducing effect Effects 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 abstract description 24
- 238000000034 method Methods 0.000 description 8
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- 238000011282 treatment Methods 0.000 description 3
- 208000017667 Chronic Disease Diseases 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 230000036541 health Effects 0.000 description 1
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Abstract
The invention discloses a kind of electrocardiogram monitor system, comprise electrocardiogram acquisition module and cloud computing platform, electrocardiogram acquisition module is connected with cloud computing platform communication; Electrocardiogram acquisition module, for the sign information of Real-time Collection user; Cloud computing platform, for according to sign information, carries out intelligent algorithm, obtains pre-judged result; Cloud computing platform, also for detecting pre-judged result; When judging results abnormity in advance, cloud computing platform also judges to obtain final judged result for pre-judged result and sign information being pushed to medical care terminal again, and final judged result is fed back to user.It is by pushing to medical care terminal by cloud computing platform by pre-judged result and sign information.Medical care terminal, according to the sign information of pre-judged result and user, again judges, and the final judged result obtained is fed back to user, achieve user's body and levy Real-Time Monitoring and handling suggestion bi-directional, reach the object that user's body levies real-time monitoring.
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 gone from bad to worse and the life stress day by day increased, the incidence rate of chronic disease day by day increases.Usually, mostly the treatment for chronic disease is to carry out diagnosis and treatment again after morbidity, so often misses the best opportunity for the treatment of.Further, 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, the bi-directional of monitoring result and diagnostic comments can not be realized, thus do not reach the object of real real-time monitoring.
Meanwhile, the imbalance between limited medical facilities and the Medical need day by day increased, has had a strong impact on the utilization rate of medical resource.
Summary of the invention
Based on this, be necessary the problem affecting medical resource utilization rate for the existing monitor system imbalance that can not reach between the object of real real-time monitoring and limited medical facilities and the Medical need day by day increased, a kind of electrocardiogram monitor system is provided.
For realizing a kind of electrocardiogram monitor system that the object of the invention provides, comprise electrocardiogram acquisition module and cloud computing platform, described electrocardiogram acquisition module is connected with described cloud computing platform communication;
Described electrocardiogram acquisition module, for the sign information of Real-time Collection user;
Described cloud computing platform, for according to described sign information, carries out intelligent algorithm, obtains pre-judged result;
Described cloud computing platform, also for detecting described pre-judged result;
When described pre-judgement results abnormity, described cloud computing platform also judges to obtain final judged result for described pre-judged result and described sign information are pushed to medical care terminal again, and described final judged result is fed back to described user.
Wherein in an embodiment, 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 pre-judged result is sudden illness, described FEMTOCELL mobile base station, for positioning described user, obtains the locating information of described user;
Described cloud computing platform, also for described locating information and described pre-judged result are pushed to described medical care terminal with limit priority.
Wherein in an embodiment, described cloud computing platform comprises computing module, slip interception module, analysis module and judge module;
Described computing module, for carrying out overall smart scanning algorithm to described sign information, obtains all data of the described sign information in described user cardiac electrical cycle, as this cycle data;
Described slip interception module, for respectively to present scan to described cycle data and the window of the last upper cycle data setting preset length scanned, and to slide the first data set and the second data set that intercept described window length with default step-length respectively;
Described analysis module, for carrying out time-domain analysis and power spectrumanalysis to described first data set and described second data set respectively, obtains the first analysis result and the second analysis result;
Described judge module, carrying out classification judgement for described first analysis result and described second analysis result being put into the judgment models adopting support vector machine to set up, obtaining described pre-judged result.
Wherein in an embodiment, described electrocardiogram acquisition module comprises electrocardio sensing unit, electrocardio transducing unit, data acquisition unit and Main Control Unit;
Described electrocardio sensing unit, for gathering the electrocardio physical signalling of described user, 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, carries out integration computing by intelligent Integrated Models to described electrocardiographicdigital digital signals, obtains the described sign information of described user.
Wherein in an embodiment, described electrocardio sensing unit is 3 detection architecture be made up of three electrode slices.
Wherein in an embodiment, described cloud computing platform also comprises scheduler module, pushing module and feedback module;
Described scheduler module, for when described pre-judgement results abnormity, is undertaken mating and dispatching by described pre-judged result and medical care information;
Described pushing module, for pushing to the corresponding described medical care terminal of described medical care information by described pre-judged result and described sign information;
According to described pre-judged result and described sign information, described feedback module, for again judging that the described final judged result that obtains and handling suggestion feed back to described user by described medical care terminal.
Wherein in an embodiment, 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.
The beneficial effect of above-mentioned electrocardiogram monitor system: it by the sign information of electrocardiogram acquisition module Real-time Collection user, and by cloud computing platform according to the sign information collected, carries out intelligent algorithm, obtains pre-judged result.Cloud computing platform detects pre-judged result, when judging results abnormity in advance, the sign information of this pre-judged result and user is pushed to medical care terminal.Medical care terminal, according to the sign information of pre-judged result and user, again judges, obtains final judged result.And the final judged result obtained is fed back to user, achieve user's body and levy Real-Time Monitoring and handling suggestion bi-directional, thus reach the object of the real-time monitoring of user's sign.
And, its first by cloud computing platform according to the sign information collected, carry out intelligent algorithm and obtain pre-judged result, both the object of the real-time monitoring of user's sign had been achieved, also reduce the work that medical personnel investigate judgement simultaneously, thus save the judgement time of medical personnel, improve the work efficiency of medical personnel, and then effectively improve the utilization rate of medical resource.
Accompanying drawing explanation
Fig. 1 is electrocardiogram monitor system one specific embodiment Organization Chart;
Fig. 2 is the specific embodiment flow chart adopting electrocardiogram monitor system to carry out cardiac monitoring;
Fig. 3 is another specific embodiment flow chart adopting electrocardiogram monitor system to carry out cardiac monitoring;
Fig. 4 is the another specific embodiment flow chart adopting electrocardiogram monitor system to carry out cardiac monitoring.
Detailed description of the invention
For making technical solution of the present invention clearly, below in conjunction with drawings and the specific embodiments, the present invention is described in further details.
See 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 communication.
Electrocardiogram acquisition module 110, for the sign information of Real-time Collection user.
Cloud computing platform 120, for according to sign information, carries out intelligent algorithm, obtains pre-judged result.
Cloud computing platform 120, also for detecting pre-judged result.
When judging results abnormity in advance, cloud computing platform 120 also judges to obtain final judged result for pre-judged result and sign information being pushed to medical care terminal 130 again, and final judged result is fed back to user.
As the electrocardiogram monitor system 100 of a specific embodiment, it is by the sign information of electrocardiogram acquisition module 110 Real-time Collection user.And the sign information of the user collected according to electrocardiogram acquisition module 110 by cloud computing platform 120 carries out intelligent algorithm, obtain the pre-judged result of characterizing consumer sign situation.By detecting this pre-judged result, when this judges results abnormity in advance, cloud computing platform 120 is also by pushing to medical care terminal 130 by pre-judged result and sign information, the pre-judged result that medical care terminal 130 pushes according to cloud computing platform 120 and sign information judge again, thus obtain final judged result, and the final judged result obtained is fed back to user.Achieve the Real-Time Monitoring of user's sign and the bi-directional of process in real time, thus achieve the object of real real-time monitoring.
Further, the sign information of the user collected according to electrocardiogram acquisition module 110 by cloud computing platform 120, carries out intelligent algorithm, obtains the pre-judged result of characterizing consumer sign.Both achieved the real-time judge to user's sign, the work that the investigation simultaneously also reducing medical personnel judges, and then shortened the time that medical personnel carry out judging, and improve the work efficiency of medical personnel, finally effectively improve the utilization rate of medical resource.
See Fig. 2, a specific embodiment of above-mentioned electrocardiogram monitor system 100 is adopted to carry out the flow chart of cardiac monitoring.Be specially:
Step S100, adopts the sign information of electrocardiogram acquisition module 110 Real-time Collection user.
Step S200, the cloud computing platform 120 be connected with electrocardiogram acquisition module 110 communication, 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 judging results abnormity in advance, pre-judged result and sign information are pushed to medical care terminal and again judge to obtain final judged result by cloud computing platform 120, and final judged result is fed back to user.
It is by the sign information of electrocardiogram acquisition module 110 Real-time Collection user, and the sign information of the user that cloud computing platform 120 collects according to electrocardiogram acquisition module 110, carries out intelligent algorithm and obtain pre-judged result.And detect pre-judged result, when judging results abnormity in advance, namely pre-judged result shows that pre-judged result and sign information for time ill, may be pushed to medical care terminal 130 by user's sign.Medical care terminal 130 judges again according to the sign information of pre-judged result and user, and then obtain final judged result, and the final judged result obtained is fed back to user, realize the Real-Time Monitoring of user's sign and the bi-directional of handling suggestion, reach the object of the real-time monitoring of user's sign.
And, cloud computing platform 120 is by the sign information according to user, carry out intelligent algorithm and obtain pre-judged result, decrease the work that medical personnel investigate judgement, and then shorten the time that medical personnel investigate judgement, improve the work efficiency of medical personnel, finally effectively improve 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 the electrocardio physical signalling of user, 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, carrying out integration computing by intelligent Integrated Models to electrocardiographicdigital digital signals, obtaining the sign information of user.
As a kind of embodiment, electrocardio sensing unit is 3 detection architecture be made up of three electrode slices.
By being made up of the electrocardio sensing unit of 3 detection architecture three electrode slices, three electrode slices are all fitted near the heart of user, gathered by the electrocardio physical signalling of 3 detection modes to user.Its structure is simple, low in energy consumption, decreases the frequency changing battery.
Meanwhile, by intelligent Integrated Models, integration computing is carried out to the electrocardiographicdigital digital signals after a series of conversion by the Main Control Unit in electrocardiogram acquisition module 110, obtain the sign information of user, improve the robustness of electrocardiogram acquisition module 110.
Wherein, by intelligent Integrated Models, integration computing is carried out to the electrocardiographicdigital digital signals be converted to, specifically can be: time tag is added to electrocardiographicdigital digital signals, and carry out encoding and compression etc., thus obtain the sign information of user.
Treat the electrocardio physical signalling of electrocardiogram acquisition module 110 Real-time Collection to user, and carry out a series ofly being converted to electrocardiographicdigital digital signals to electrocardio physical signalling, after the sign information of i.e. user, cloud computing platform 120 can carry out intelligent algorithm according to the sign information of user, 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 carrying out overall smart scanning algorithm to sign information, obtains all data of the sign information in user's cardiac electrical cycle, as this cycle data.
Slip interception module, for respectively to present scan to this cycle data and the window of the last upper cycle data setting preset length scanned, and to slide the first data set and the second data set that intercept described window length with default step-length respectively.
Analysis module, for carrying out 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.
Judge module, carrying out classification judgement for the first analysis result and the second analysis result being put into the judgment models adopting support vector machine to set up, obtaining pre-judged result.
It is by arranging computing module, slip interception module, analysis module and judge module at cloud computing platform 120, realize the intelligent algorithm based on time-domain analysis, power spectrumanalysis and support vector machine, real-time monitoring and judgement is carried out by this intelligent algorithm user, save medical personnel and investigate judgement work, thus improve judging efficiency.
Concrete, see Fig. 3, adopt another specific embodiment of above-mentioned electrocardiogram monitor system to carry out the flow chart of cardiac monitoring.First perform step S020, read a upper cycle data.And by performing step S210, overall smart scanning algorithm is carried out to the sign information collected, find out all data in user's electrocardio Period Process, as this cycle data (electrocardiogram (ECG) data namely in identification one-period is as this cycle data).Is carried out cycle data that overall smart scanning algorithm scans the last time as a upper cycle data.
Secondly, performing step S220, (is one to the number of the window of the preset length of this cycle data and a upper cycle data setting to the window of this cycle data and a upper cycle data setting preset length respectively respectively.), and (namely set the window of preset length with the first data set of the window length set by default step-length slip or mobile intercepting and the second data set, and intercept two groups of electrocardiosignaies respectively.Wherein one group of electrocardiosignal is the first data set, and other one group of electrocardiosignal is the second data set).
Wherein, the window of preset length can be the window that length is at 100.First data set is be the window of 100 to this cycle data preseting length, slides or the mobile length intercepted is the multi-group data of 100 with default step-length; Second data set is a upper cycle data preseting length is similarly to the window of 100, and slides with same default step-length or the mobile identical length intercepted is the multi-group data of 100.
Then, perform step S230, respectively time-domain analysis and power spectrumanalysis (namely carrying out time-domain analysis and power spectrumanalysis to two groups of electrocardiosignaies) are carried out to the first data set and the second data set, obtain the first analysis result and the second analysis result.Namely by carrying out time-domain analysis and power spectrumanalysis to the first data set, the first analysis result is obtained; Time-domain analysis and power spectrumanalysis are carried out to the second data set, obtains the second analysis result.
Finally, perform step S240, the first analysis result and the second analysis result are put into the judgment models adopting support vector machine to set up and carry out classification judgement, obtain pre-judged result.
Wherein, by performing step S300, pre-judged result is detected.When judging results abnormity in advance, then perform step S400, user is positioned, and the sign information of pre-judged result and user is pushed to medical care terminal.
When pre-judged result is normal, then perform step S400 ' ', this cycle data is preserved as a upper cycle data, and return execution step S020, again read a upper cycle data.
It, by carrying out real-time judge based on the intelligent algorithm of time-domain analysis, power spectrumanalysis and support vector machine to user's sign, saves the work that medical personnel investigate judgement, shortens the time that medical personnel carry out investigating, thus improve judging efficiency.
Cloud computing platform 120 by according to sign information, carries out, based on the intelligent algorithm of time-domain analysis, power spectrumanalysis and support vector machine, obtaining pre-judged result.Because user's body symptom condition exists multiple, as: abnormal (namely user's sign may be ill), sudden illness (namely user's sign is for suffering from sudden illness) and normal (namely user's sign is good).Wherein:
When user's sign is sudden illness, see 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 FEMTOCELL mobile base station 140 communication, and FEMTOCELL mobile base station 140 is connected by mobile core network with cloud computing platform 120.
When pre-judged result is sudden illness, FEMTOCELL mobile base station 140, for positioning user, obtains the locating information of user.
Cloud computing platform 120, also for locating information and pre-judged result are pushed to medical care terminal 130 with limit priority.
It positions by arranging 140 pairs, the FEMTOCELL mobile base station user be connected with electrocardiogram acquisition module 110 communication, obtains the locating information of user.And be connected by mobile core network with cloud computing platform 120 by arranging FEMTOCELL mobile base station 140, cloud computing platform 120 is connected with medical care terminal 130 communication, realizes the locating information of user and pre-judged result to push to medical care terminal 130 with limit priority.Automatic rescue is carried out to point out medical personnel.It improves rescue efficiency effectively, drops to minimum by sudden illness to the infringement that user causes, for the personal safety of user provides reliable guarantee.
It should be noted that, when adopting the navigation systems such as GPS (GlobalPositioningSystem, 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 the microminiature mobile base station released according to 3G development and mobile broadband variation tendency, indoor coverage of signal quality can be improved well, therefore carry out real-time accessible location by 140 pairs, FEMTOCELL mobile base station user, ensure that accuracy and the promptness of the locating information of user.
Wherein, FEMTOCELL mobile base station 140 can be made up of FEMTOCELLCPE141 and FEMTOCELL gateway 142.FEMTOCELLCPE141 and FEMTOCELL gateway 142 passes through broadband connection.
Concrete, see Fig. 4, when user's sign is sudden illness, by performing step S400 ', by positioning user, obtain the locating information of user; With step S500 ', the locating information of user and pre-judged result are pushed to medical care terminal with limit priority.Automatic rescue is carried out to point out medical personnel.It achieves making an immediate response when burst disease occurs, and the object judged immediately avoids the phenomenon of succouring and delaying, effectively improves rescue efficiency, drop to minimum by sudden illness to the infringement that user causes, for the personal safety of user provides reliable guarantee.
When user's sign may be ill, namely cloud computing platform 120 is according to sign information, when carrying out the pre-judgement results abnormity that intelligent algorithm obtains, by cloud computing platform 120, pre-judged result and sign information can be pushed to medical care terminal 130, again judge to obtain final judged result, and the final judged result obtained 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, is undertaken mating and dispatching by pre-judged result and medical care information.
Pushing module, for pushing to the medical care terminal matched with pre-judged result by pre-judged result and sign information.
According to pre-judged result and sign information, feedback module, for again judging that the final judged result that obtains and handling suggestion feed back to user by medical care terminal.
When judging results abnormity in advance, by scheduler module, pre-judged result is mated with medical care information (doctor cures mainly geographical position residing for major field, the current busy degree of doctor, doctor), and cure mainly geographical position residing for major field, the current busy degree of doctor, doctor according to doctor pre-judged result and medical care information are dispatched, realize the object of pre-judged result and medical care information being carried out to optimization Intelligent Matching, thus select optimal diagnostician for user, effectively improve the utilization rate of medical resource.Meanwhile, the time that user selects is saved.
After pre-judged result and medical care information carry out mating and dispatching by scheduler module, pre-judged result and sign information are pushed to the medical care terminal 130 matched with it by pushing module.Again judged according to pre-judged result and sign information by medical care terminal 130, obtain final judged result and the handling suggestion corresponding to final judged result.
After medical care terminal 130 obtains final judged result and handling suggestion according to pre-judged result and sign information, the final judged result obtained and handling suggestion are fed back to user by feedback module, achieve the bi-directional of the monitoring of user's sign and process, contribute to the handling suggestion that user feeds back according to medical care terminal 130 to process in time, prevent the phenomenon incuring loss through delay process opportunity.
Meanwhile, when final judged result and handling suggestion are fed back to user by feedback module, as a kind of embodiment, cloud computing platform 120 also comprises cloud storage platform (not shown).Cloud storage platform, for being stored to final judged result and handling suggestion in data base.
Being stored in data base by cloud storage platform by final judged result and handling suggestion, is the permanent reservation historical information of user, is embodied as the object that user retains and manages historical data, so that user carries out associative operations such as searching and call in the future.When user runs into same pre-judged result again, directly by recalling corresponding handling suggestion in data base, the time can be saved, improves efficiency.
Concrete, see Fig. 4, adopt above-mentioned electrocardiogram monitor system to carry out the another specific embodiment flow chart of cardiac monitoring.When judging results abnormity in advance, by performing step S040, extract the sign information of user, and perform step S410, pre-judged result is carried out mating and dispatching with medical care information (doctor cures mainly geographical position residing for major field, the current busy degree of doctor, doctor), optimized Intelligent Matching is carried out to pre-judged result and medical care information, thus selects optimal treatment doctor for user, effectively improve the utilization rate of medical resource.Meanwhile, the time that user selects is saved.
After pre-judged result and medical care information are carried out mating and dispatching, perform step S420, pre-judged result and sign information are pushed to the medical care terminal matched with it.Again judge to obtain final judged result according to pre-judged result and sign information by medical care terminal, and the handling suggestion corresponding to final judged result.
After medical care terminal obtains final judged result and handling suggestion according to pre-judged result and sign information, by performing step S430, submit the final judged result and handling suggestion that obtain to, and then perform step S440, the final judged result obtained and handling suggestion are fed back to user.And step S450, issue information to user in real time.It issues by voice message pattern.Achieve the Real-Time Monitoring of user's sign and the bi-directional of handling suggestion, contribute to user and process in time according to the handling suggestion of medical care terminal feedback, prevent the phenomenon incuring loss through delay process 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 carries out associative operations such as searching in the future.When user runs into same pre-judged result again, directly by recalling corresponding handling suggestion in data base, the time can be saved, improves efficiency.
As the electrocardiogram monitor system of a specific embodiment, by the sign information of electrocardiogram acquisition module Real-time Collection user.And by cloud computing platform according to electrocardiogram acquisition module acquires to the sign information of user carry out intelligent algorithm, obtain the pre-judged result of characterizing consumer sign situation.By detecting this pre-judged result, when this judges results abnormity in advance, cloud computing platform is also by pushing to medical care terminal by pre-judged result and sign information, the pre-judged result that medical care terminal pushes according to cloud computing platform and sign information judge again, thus obtain final judged result, and the final judged result obtained is fed back to user.Achieve the Real-Time Monitoring of user's sign and the bi-directional of process in real time, thus achieve the object of real real-time monitoring.
Further, by the sign information of cloud computing platform according to user, carry out intelligent algorithm, obtain the pre-judged result of characterizing consumer sign.Both achieved the real-time judge to user's sign, the work that the investigation simultaneously also reducing medical personnel judges, and then shortened the time that medical personnel carry out judging, and improve the work efficiency of medical personnel, finally effectively improve the utilization rate of medical resource.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not 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 (6)
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 the sign information of Real-time Collection user;
Described cloud computing platform, for according to described sign information, carries out intelligent algorithm, obtains pre-judged result;
Described cloud computing platform, also for detecting described pre-judged result;
When described pre-judgement results abnormity, described cloud computing platform also judges to obtain final judged result for described pre-judged result and described sign information are pushed to medical care terminal again, and described final judged result is fed back to described user;
Wherein, described cloud computing platform comprises computing module, slip interception module, analysis module and judge module;
Described computing module, for carrying out overall smart scanning algorithm to described sign information, obtains all data of the described sign information in described user cardiac electrical cycle, as this cycle data;
Described slip interception module, for respectively to present scan to described cycle data and the window of the last upper cycle data setting preset length scanned, and to slide the first data set and the second data set that intercept described window length with default step-length respectively;
Described analysis module, for carrying out time-domain analysis and power spectrumanalysis to described first data set and described second data set respectively, obtains the first analysis result and the second analysis result;
Described judge module, carrying out classification judgement for described first analysis result and described second analysis result being put into the judgment models adopting support vector machine to set up, obtaining described pre-judged result.
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 pre-judged result is sudden illness, described FEMTOCELL mobile base station, for positioning described user, obtains the locating information of described user;
Described cloud computing platform, also for described locating information and described pre-judged result are pushed to described medical care terminal with limit priority.
3. 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 the electrocardio physical signalling of described user, 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, carries out integration computing by intelligent Integrated Models to described electrocardiographicdigital digital signals, obtains the described sign information of described user.
4. electrocardiogram monitor system according to claim 3, is characterized in that, described electrocardio sensing unit is 3 detection architecture be made up of three electrode slices.
5. the electrocardiogram monitor system according to any one of Claims 1-4, is characterized in that, described cloud computing platform also comprises scheduler module, pushing module and feedback module;
Described scheduler module, for when described pre-judgement results abnormity, is undertaken mating and dispatching by described pre-judged result and medical care information;
Described pushing module, for pushing to the corresponding described medical care terminal of described medical care information by described pre-judged result and described sign information;
According to described pre-judged result and described sign information, described feedback module, for again judging that the described final judged result that obtains and handling suggestion feed back to described user by described medical care terminal.
6. electrocardiogram monitor system according to claim 5, 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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| TW201620439A (en) * | 2014-12-11 | 2016-06-16 | 鄒朝聖 | Electrocardio recording system |
| CN104639655B (en) * | 2015-03-09 | 2018-05-04 | 上海万达全程健康门诊部有限公司 | A kind of healthy sign monitoring data collection method based on mobile gateway |
| 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 |
| US10765331B2 (en) | 2015-04-02 | 2020-09-08 | Microsoft Technology Licensing, Llc | 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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| 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 |
| CN101754364B (en) * | 2008-12-01 | 2012-10-17 | 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 |
| TWI470467B (en) * | 2011-08-24 | 2015-01-21 | Ostar Meditech Corp | Electronic vital-sign 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 |
| CN103356183B (en) * | 2013-07-05 | 2016-02-17 | 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 |
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