CN108206837A - Monitoring system, monitoring device, client and the monitoring method of Medical Devices - Google Patents
Monitoring system, monitoring device, client and the monitoring method of Medical Devices Download PDFInfo
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- CN108206837A CN108206837A CN201611167356.XA CN201611167356A CN108206837A CN 108206837 A CN108206837 A CN 108206837A CN 201611167356 A CN201611167356 A CN 201611167356A CN 108206837 A CN108206837 A CN 108206837A
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- medical devices
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- process data
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
Embodiment of the present invention discloses monitoring system, monitoring device, client and the monitoring method of a kind of Medical Devices especially angioradiographic system.Monitoring system includes：One client is arranged on the Medical Devices, for obtaining a real process data of the Medical Devices, and the real process data is sent to a high in the clouds；One monitoring device is arranged in the high in the clouds, for monitoring an instantaneous operating conditions of the Medical Devices based on the real process data.Embodiment of the present invention can understand the working condition of Medical Devices in time.When the instantaneous operating conditions of Medical Devices are abnormal, embodiment of the present invention can both send out alarm beyond the clouds, can also send out alarm at Medical Devices end, understand in time convenient for staff everywhere and be abnormal.Embodiment of the present invention can be based on artificial neural network training algorithm and train abnormal data signal feature database, improve monitoring precision.
Description
Technical field
The present invention relates to technical field of medical equipment, more particularly to a kind of monitoring system of Medical Devices, monitoring device,
Client and monitoring method.
Background technology
Angiography is a kind of auxiliary examination technology, doctor is contributed to find the state of an illness and control disease progression in time, effectively
Ground improves the survival rate of patient.Angioradiographic system (Angiography System) is usually by rack, C-arm, X-ray tube
The compositions such as component, flat panel detector, patient couch, high pressure generator, monitor and its suspension, console.
During the use of current angioradiographic system, when meeting scheduled trigger condition, console generates daily record
(log) file.However, journal file record is non real-time process data, blood vessel can not be understood based on journal file in real time
The instantaneous operating conditions of angiography system.There is also similar problems for other Medical Devices.
In addition, analysis journal file needs sufficient professional knowledge.Non-specialized-technical personnel can not usually understand daily record text
Part, and be difficult to ask for help.
The method that U.S. Patent application US20060214777A1 discloses Medical Devices and remote maintenance Medical Devices,
In order to allow extremely simple, safety and reliably transmit data, which provides data transmission set, can be in electricity
Line of force transfers on network data.
Chinese patent application CN104238540A discloses information collecting method, device and the doctor diagnosed for system exception
Treat equipment.Wherein, method includes：Pre-set at least one system running state to be monitored and corresponding each system operation
At least one information gathering operations of state, each information gathering operations are respectively used to collect different with the relevant letter of accident analysis
Breath；When determining that current system reaches any one system running state to be monitored, the system to be monitored that system reaches is transported
Row state is monitored；When the system running state monitored occurs abnormal, the letter of the corresponding system running state is performed
Breath collects operation；After information is collected, the information being collected into is packaged, the information after packing is stored in specific bit
Put and/or, the information after the packing is sent to remote service platform.Technical solution disclosed in this invention can be first
Time realizes the collection of system running state abnormity diagnosis information.
Invention content
Embodiment of the present invention proposes a kind of monitoring system, monitoring device, client and the monitoring method of Medical Devices, can
To monitor the instantaneous operating conditions of the Medical Devices such as angiography system in real time.
The technical solution of embodiment of the present invention is as follows：
A kind of monitoring system of Medical Devices, the monitoring system include：
One client is arranged on the Medical Devices, for obtaining a real process data of the Medical Devices, and
The real process data is sent to a high in the clouds；
One monitoring device is arranged in the high in the clouds, for monitoring the Medical Devices based on the real process data
One instantaneous operating conditions.
As it can be seen that embodiment of the present invention obtains the real-time process of Medical Devices by the client being arranged on Medical Devices
Data, by arranging that monitoring device beyond the clouds monitors the instantaneous operating conditions of Medical Devices, therefore can understand doctor in time
Treat the working condition of equipment.
Moreover, real process data is sent to high in the clouds by client, it can be by the professional person in high in the clouds to real-time process number
According to various subsequent processings are carried out, the operating pressure of the medical staff at Medical Devices end can also be reduced.
In one embodiment, the monitoring device includes：
One interface module, for obtaining the real process data；
One analysis module, for the real process data to be matched with an abnormal data signal feature database；Wherein：
Determine that the instantaneous operating conditions determine the instantaneous operating conditions for exception or, when matching is unsuccessful when successful match
It is normal.
As it can be seen that embodiment of the present invention is by the way that real process data is matched with abnormal data signal feature database, it can
To determine whether the instantaneous operating conditions of Medical Devices are normal.
In one embodiment, the monitoring system further includes：
One first alarm module, is arranged in the high in the clouds, for sending out one the when the instantaneous operating conditions are abnormal
One alarm signal；And/or
One second alarm module, is arranged on the Medical Devices, for being sent out when the instantaneous operating conditions are abnormal
Go out one second alarm signal.
As it can be seen that when the instantaneous operating conditions of Medical Devices are abnormal, embodiment of the present invention can both be sent out beyond the clouds
Alarm can also send out alarm at Medical Devices end, know in time convenient for staff everywhere and be abnormal.
In one embodiment, the monitoring system further includes：
One Virtual Private Network (Virtual Private Network, VPN) gateway, is arranged in the client and institute
It states between monitoring device；And/or
One fire wall is arranged between the client and the monitoring device.
Therefore, embodiment of the present invention is by arranging vpn gateway or fire wall, can improve client and monitoring device it
Between information security.
A kind of monitoring device of Medical Devices, including：
One interface module, for obtaining a real process data from a Medical Devices via telecommunication network connection；
One analysis module, for the real process data to be matched with an abnormal data signal feature database；Wherein：
The instantaneous operating conditions that the Medical Devices are determined when successful match are abnormal or, are determined when matching is unsuccessful described
One instantaneous operating conditions of Medical Devices are normal.
As it can be seen that the monitoring device of embodiment of the present invention connects the real-time process number for obtaining Medical Devices via telecommunication network
According to, and based on the instantaneous operating conditions of real process data monitoring Medical Devices, therefore can be set in the long-range medical treatment of understanding in time
Standby working condition.
In one embodiment, it further includes：
One first alarm module, for sending out one first alarm signal when the instantaneous operating conditions are abnormal；
And/or
The abnormal data signal feature database is an adjustable abnormal data signal feature database of dynamic, the monitoring device
It further includes：One training module trains the abnormal data signal feature database for being based on an artificial neural network training algorithm.
Therefore, when the instantaneous operating conditions of Medical Devices are abnormal, embodiment of the present invention can send out report beyond the clouds
Alert prompting, is abnormal consequently facilitating high in the clouds staff is known in time.
Moreover, embodiment of the present invention is also based on artificial neural network training algorithm training abnormal data signal feature
Library improves the monitoring precision of Medical Devices.
A kind of client of Medical Devices, including：
One data acquisition module, for acquiring a real process data of the Medical Devices；
One communication module, for the real process data to be sent to a high in the clouds.
As it can be seen that the client of embodiment of the present invention obtains the real process data of Medical Devices, and by real-time process number
According to high in the clouds is sent to, consequently facilitating monitoring the instantaneous operating conditions of Medical Devices beyond the clouds.
In one embodiment, the communication module is additionally operable to receive an abnormal notification message from the high in the clouds；
The client further includes：
One second alarm module sends out one second alarm signal for being based on the abnormal notification message.
Therefore, when the instantaneous operating conditions of Medical Devices are abnormal, alarm can be sent out at Medical Devices end, just
Staff in Medical Devices end understands in time to be abnormal.
A kind of monitoring method of Medical Devices, this method include：
Telecommunication network connection is established between a Medical Devices and a high in the clouds；
A real process data of the Medical Devices is obtained, is connected based on the telecommunication network by the real-time process number
According to being sent to the high in the clouds；
An instantaneous operating conditions of the Medical Devices are monitored based on the real process data in the high in the clouds.
As it can be seen that embodiment of the present invention obtains the real process data of Medical Devices, it will be real-time by telecommunication network connection
Process data is sent to high in the clouds, and high in the clouds can monitor the instantaneous operating conditions of Medical Devices based on real process data, so as to
To understand the working condition of Medical Devices in time.
In one embodiment, the instantaneous operating conditions beyond the clouds based on real process data monitoring Medical Devices
Including：
Determine an abnormal data signal feature database；
The abnormal data signal feature database is trained based on an artificial neural network training algorithm；
The real process data is matched with the abnormal data signal feature database after training；Wherein：When
Determine that the instantaneous operating conditions are abnormal or, determine the instantaneous operating conditions for just when matching is unsuccessful during with success
Often.
As it can be seen that embodiment of the present invention, which can be based on artificial neural network training algorithm, trains abnormal data signal feature
Library improves the monitoring precision of the Medical Devices such as angiography system.
Description of the drawings
Fig. 1 is the structure chart according to the monitoring system of embodiment of the present invention Medical Devices.
Fig. 2 is the structure chart according to the client of embodiment of the present invention Medical Devices.
Fig. 3 is the structure chart according to the monitoring device of embodiment of the present invention Medical Devices.
Fig. 4 is the demonstrative structure figure according to the monitoring system of embodiment of the present invention Medical Devices.
Fig. 5 is the flow chart according to the monitoring method of embodiment of the present invention Medical Devices.
Wherein, reference numeral is as follows：
Specific embodiment
In order to which technical scheme of the present invention and advantage is more clearly understood, below in conjunction with drawings and the embodiments, to this
Invention is further elaborated.It should be appreciated that the specific embodiments described herein are only used to illustrative illustrate originally
Invention, the protection domain being not intended to limit the present invention.
It is succinct and intuitive in order to what is described, hereafter by describing several representative embodiments come the side to the present invention
Case is illustrated.A large amount of details is only used for helping to understand the solution of the present invention in embodiment.However, it will be apparent that the present invention
Technical solution can be not limited to these details when realizing.In order to avoid unnecessarily having obscured the solution of the present invention, some realities
It applies mode not described meticulously, but only gives frame.Hereinafter, " comprising " refers to " include but not limited to ", " root
According to ... " refer to " according at least to ..., but be not limited to according only to ... ".Due to the speech habits of Chinese, hereinafter without spy
When not pointing out the quantity of ingredient, it is meant that the ingredient is either one or more or can be regarded as at least one.
In view of the defects of Medical Devices working condition such as angioradiographic system can not be understood in time in the prior art, the present invention
Embodiment proposes a kind of technical solution in remote real time monitoring Medical Devices.
Fig. 1 is the structure chart according to the monitoring system of embodiment of the present invention Medical Devices.Herein, with angiography system
It is illustrated for system, other Medical Devices also can be realized equally.
As shown in Figure 1, monitoring system 30 includes：
One client 12, is arranged in angioradiographic system 10, for obtaining the real-time process of angioradiographic system 10
Data, and real process data is sent to high in the clouds；
One monitoring device 11 is arranged beyond the clouds, for the reality based on real process data monitoring angioradiographic system 10
When working condition.
Herein, the real process data of angioradiographic system 10 refers to related to the course of work of angioradiographic system 10
Real time data, including at least as follows：
(1) the hardware real-time parameter of angioradiographic system 10
Such as：Supply voltage value；Tube current value；Air switch state；High pressure generator temperature value；Monitor parameter；
Backpedalling brake state；Intercom system state, etc..Various types of hardware sensors, base are usually disposed in angioradiographic system 10
The corresponding hardware real-time parameter of angioradiographic system 10 can be detected in these hardware sensors.Hardware sensor is by each self-test
Hardware real-time parameter be sent to the console (being not shown in Fig. 1) of angioradiographic system 10.
(2), the software real-time parameter of angioradiographic system 10
Such as：Rostral angle of inclination (CRA) value；Sufficient cant angle degree (CAU) value；Right side angle of inclination (RAO) value；Left side
Angle of inclination (LAO) value；C arm rotary speed setting values；Acquisition rate setting value, etc..The software systems of angioradiographic system
Various types of software real-time parameters are sent to the console of angioradiographic system 10.
(3), user's operation data.
Such as：System opening operation；System shutoff operation；Patient image archive operations；Image manual transmission operates；Patient
Data protection operations；Patient data's delete operation；Patient file folder opening operation, etc..The software system of angioradiographic system 10
System is acted based on user's operation and determines corresponding user's operation data, and user's operation data are sent to console.
Therefore, a plurality of types of real process datas can be summarized in the console of angioradiographic system 10.
More than the exemplary representative instance for describing real process data, it will be appreciated by those of skill in the art that this
Description is only exemplary, is not intended to limit the present invention the protection domain of embodiment.
In embodiments of the present invention, client 12 is preferably placed in the console of angioradiographic system 10, in order to
Obtain the real process data summarized in the console.Optionally, client 12 can be not arranged in console, but is arranged
For the separate module in angioradiographic system 10.The separate module has wired or wireless connection with console, can be from control
Platform obtains the real process data of angioradiographic system 10.
Client 12 both may be embodied as hardware module, can also be embodied as software module, can also be embodied as hardware with
The mixed structure that software is combined.When client 12 is embodied as hardware module, can specifically be adopted comprising various types of data
Collect hardware circuit；When client 12 is embodied as software module, it is specifically as follows the data acquisition software of installation in the console.
When client 12 is embodied as hardware with the mixed structure that software is combined, client 12 both includes data acquisition hardware circuit,
Again comprising data acquisition software installation in the console.
In one embodiment, monitoring device 11 includes：
One interface module (being not shown in Fig. 1), for obtaining real process data from client 12；
One analysis module (being not shown in Fig. 1), for real process data and the abnormal number for obtaining interface module
It is believed that a number feature database is matched；Wherein：Instantaneous operating conditions are determined when successful match as exception or, unsuccessful when matching
When determine that instantaneous operating conditions are normal.
Abnormal data signal feature database includes the data characteristics of abnormal data, for judging the work of angioradiographic system
Whether state is abnormal.
In one embodiment, the static state that abnormal data signal feature database may be embodied as being configured in analysis module is different
Regular data signal characteristic library is embodied as being stored in static abnormal data signal feature in the addressable database of analysis module
Library.Static abnormal data signal feature database is meant that, comprising the data characteristicses of abnormal data be fixed.This
When, analysis module by real process data and the static state abnormal data signal feature database progress characteristic matching, when characteristic matching into
During work(, it is abnormal to determine instantaneous operating conditions；When characteristic matching is unsuccessful, it is normal to determine instantaneous operating conditions.
For example, preserve following unalterable rules in static abnormal data signal feature database：When the temperature of high pressure generator
During more than 80 degrees Celsius, judge abnormal due to high pressure generator generation short circuit.It is assumed that the real-time process number that interface module obtains
Temperature according to middle instruction high pressure generator is 85 degree, then analysis module judges the feature of the real process data and static abnormal number
It is believed that in number feature database the unalterable rules characteristic matching, therefore, it is determined that the instantaneous operating conditions of angioradiographic system are abnormal.
In one embodiment, the dynamic that abnormal data signal feature database may be embodied as being configured in analysis module is different
Regular data signal characteristic library is embodied as the dynamic abnormal data-signal feature being stored in the addressable database of analysis module
Library.Dynamic abnormal data-signal feature database is meant that, comprising abnormal data data characteristics and be not fixed, but
It can be dynamically adjusted based on training process.Citing can be based on artificial neural network training algorithm and a large amount of training number
According to training abnormal data signal feature database.At this point, analysis module believes real process data and the dynamic abnormal data after training
Number feature database carries out characteristic matching, and when characteristic matching success, it is abnormal to determine instantaneous operating conditions；When characteristic matching is unsuccessful
When, it is normal to determine instantaneous operating conditions.
For example, preserve following initial rules in dynamic abnormal data-signal feature database：When the temperature of high pressure generator
During more than 70 degrees Celsius, judge abnormal due to high pressure generator generation short circuit.In the training process, staff is primarily based on
A large amount of empirical datas obtain training data, and using training data as the input parameter of artificial neural network training algorithm with training
Dynamic abnormal data-signal feature database.It is assumed that training data includes following rule：When the temperature of high pressure generator is Celsius more than 80
When spending, high pressure generator occurs short-circuit and abnormal.Therefore, based on artificial neural network training algorithm (for example, back-propagating is calculated
Method) training after, which is adjusted to：When the temperature of high pressure generator is more than 80 degrees Celsius, judge to occur because of high pressure
Device occurs short-circuit and abnormal.
When after training process, it is assumed that indicate the temperature of high pressure generator in the real process data that interface module obtains
It it is 85 degree, then the feature of analysis module judgement real process data is trained to rule with this in dynamic abnormal data-signal feature database
Characteristic matching, therefore can be determined that the instantaneous operating conditions of angioradiographic system for extremely.
More than exemplary describe the specific rules of abnormal data signal feature database and specific training algorithm, this field skill
Art personnel it is to be appreciated that it is this description be only exemplary, be not intended to limit the present invention the protection domain of embodiment.
In one embodiment, monitoring system 30 further includes：First alarm module (is not shown) in Fig. 1, is arranged in
High in the clouds (is preferably placed in monitoring device 11), for sending out the first alarm signal when instantaneous operating conditions are abnormal.
When it is abnormal that analysis module, which determines instantaneous operating conditions, arrange that the first alarm module beyond the clouds can pass through sound
The staff in a variety of prompting mode prompting high in the clouds such as sound prompting, optical cue, interface prompt.Therefore, the staff in high in the clouds
It can know in time and be abnormal positioned at long-range angioradiographic system.
In one embodiment, monitoring system 30 further includes：Second alarm module (is not shown) in Fig. 1, is arranged in
It (is preferably placed in client 12) in angioradiographic system 10, for sending out the second alarm when instantaneous operating conditions are abnormal
Signal.
Similarly, when it is abnormal that analysis module, which determines instantaneous operating conditions, interface module is sent to angioradiographic system
Abnormal notification message.The second alarm module being arranged in angioradiographic system is based on the exception notification message, is carried by sound
Show, optical cue, a variety of prompting modes prompting angioradiographic system ends such as interface prompt staff.Therefore, angiography
The staff of system end can equally be known in time to be abnormal.
In one embodiment, monitoring system further includes：The vpn gateway being arranged between client and monitoring device
(being not shown in Fig. 1).For example, vpn gateway can take double netcard structure.Client and monitoring device pass through VPN nets respectively
The outer net of pass is clamped into internet, and client 12 is clamped the Intranet into monitoring device 11 by the Intranet of vpn gateway, monitoring
Device 11 is clamped the Intranet into client 12 by the Intranet of vpn gateway.
In one embodiment, monitoring system 30 further includes：The fire wall being arranged between client and monitoring device
(being not shown in Fig. 1).Specifically, fire wall can include：Hardware firewall；Packet Filtering type software firewall；Circuit
Layer gateway and application level gateway, etc..Wherein it is possible to respective fire wall is respectively arranged in client and monitoring device,
Shared fire wall can be arranged between client and monitoring device.
More than the exemplary representative instance for describing vpn gateway and fire wall, it will be appreciated by those of skill in the art that this
Kind description is only exemplary, is not intended to limit the present invention the protection domain of embodiment.
Based on foregoing description, embodiment of the present invention also proposed a kind of client of Medical Devices.
Fig. 2 is the structure chart according to the client of embodiment of the present invention Medical Devices.Herein, still with angiography
It is illustrated for system, other Medical Devices also can be realized equally.
As shown in Fig. 2, client 42 includes：
One data acquisition module 121, for acquiring the real process data of angioradiographic system；With,
One communication module 122, for real process data to be sent to high in the clouds.
Specifically, communication module 122 can be sent out real process data by wire transmission mode or wireless transmission method
It is sent to high in the clouds.
In one embodiment, communication module 122 are additionally operable to receive abnormal notification message from high in the clouds；Client 42 is also
Including：Second alarm module 123 sends out the second alarm signal for being based on abnormal notification message.
Client 42 as shown in Figure 2 can be arranged in the console of angioradiographic system, and is obtained and be summarised in control
Real process data in platform.Optionally, client 42 can not also arrange in the console, but be arranged as angiography system
Separate module on system, the separate module have wired or wireless connection with console, can obtain angiography from console
The real process data of system 10.
Client 42 as shown in Figure 2 both may be embodied as hardware module, can also be embodied as software module, can also be real
Apply the mixed structure being combined for hardware with software.When client 42 is embodied as hardware module, client 42 can specifically wrap
Containing various types of data acquisition hardware circuits；When client 42 is embodied as software module, client 42 is specifically as follows peace
The data acquisition software of dress in the console.When client 42 is embodied as hardware with the mixed structure that software is combined, client
End 42 both comprising data acquisition hardware circuit, further included the data acquisition software of installation in the console
Based on foregoing description, embodiment of the present invention also proposed a kind of monitoring device of Medical Devices.
Fig. 3 is the structure chart according to the monitoring device of embodiment of the present invention Medical Devices.Herein, with angiography system
It is illustrated for system, other Medical Devices also can be realized equally.
As shown in figure 3, monitoring device 51 includes：
One interface module 111, for obtaining real process data from angioradiographic system via telecommunication network connection；
One analysis module 112, for real process data to be matched with abnormal data signal feature database；Wherein：
Determine that the instantaneous operating conditions of angioradiographic system determine that blood vessel is made for exception or, when matching is unsuccessful when successful match
The instantaneous operating conditions of shadow system are normal.
In one embodiment, monitoring device 51 further includes：
One the first alarm module 114, for sending out the first alarm signal when instantaneous operating conditions are abnormal.
In one embodiment, abnormal data signal feature database may be embodied as the adjustable abnormal data signal of dynamic
Feature database.At this point, monitoring device further includes：One training module 113, it is different for being based on the training of artificial neural network training algorithm
Regular data signal characteristic library.
The demonstrative structure of the monitoring system of detailed description Medical Devices below in conjunction with the accompanying drawings.
Fig. 4 is the demonstrative structure figure according to the monitoring system of embodiment of the present invention Medical Devices.Herein, with blood vessel
According to being illustrated for shadow system, other Medical Devices also can be realized equally.
In Fig. 4, the number of angioradiographic system 20 has multiple.Each angioradiographic system 20 is arranged in respective doctor
In the corresponding section office of institute.These hospitals can be located in same city, can also be located at different cities, even on different states
In family.Client 22 there are one being respectively arranged in each angioradiographic system 20.Each client 22 is obtained each in real time
From angioradiographic system console in the real process data that summarizes.The real process data difference that each client 22 obtains
Via client firewall 241, internet 23 and high in the clouds fire wall 242, it is sent to the monitoring device 21 of arrangement beyond the clouds.
The monitoring device 21 of arrangement beyond the clouds includes a database of analysis module 212, one of interface module 211, one
213 and first alarm module 214.Interface module 211 receives each angioradiographic system 20 respectively from each client 22
Real process data.The real process data that interface module 211 receives is preferably continuous and real-time data, specifically comprising blood
Hardware real-time parameter, software real-time parameter and user's operation data of pipe angiography system, etc..213 cache interface mould of database
The real process data that block 211 receives.High in the clouds fire wall 242 is arranged in monitoring device 21.High in the clouds fire wall 242 is according to spy
Fixed rule, the real process data sent to each client 22 are filtered scanning.
Abnormal data signal feature database is stored in analysis module 212.Analysis module 212 is respectively by each angiography system
The real process data of system is matched with abnormal data signal feature database；Wherein：The angiography is determined when successful match
The instantaneous operating conditions of system determine the instantaneous operating conditions of the angioradiographic system for just to be abnormal when matching is unsuccessful
Often.When the instantaneous operating conditions that analysis module 212 is determined with angioradiographic system are abnormal, the first alarm module 214 passes through
The prompting modes such as auditory tone cues, optical cue, interface prompt prompt the user service personnel 215 in high in the clouds.The research staff in high in the clouds
216 are also based on the abnormal data signal feature database in artificial neural network training algorithm training analysis module 212.
More than the exemplary monitoring system for describing Medical Devices demonstrative structure, those skilled in the art will be appreciated that
It arrives, this description is only exemplary, is not intended to limit the present invention the protection domain of embodiment.
Based on foregoing description, embodiment of the present invention also proposed a kind of monitoring method of Medical Devices.
Fig. 5 is the flow chart according to the monitoring method of embodiment of the present invention Medical Devices.Herein, with angiography system
It is illustrated for system, other Medical Devices also can be realized equally.
As shown in figure 5, this method includes：
Step 501：Telecommunication network connection is established between angioradiographic system and high in the clouds；
Step 502：The real process data of angioradiographic system is obtained, is connected based on telecommunication network by real process data
It is sent to high in the clouds.
Step 503：Instantaneous operating conditions beyond the clouds based on real process data monitoring angioradiographic system.
In one embodiment, the reality in step 503 beyond the clouds based on real process data monitoring angioradiographic system
When working condition include：Determine abnormal data signal feature database；Based on artificial neural network training algorithm training abnormal data letter
Number feature database；Real process data is matched with the abnormal data signal feature database after training；Wherein：When successful match
Determine that instantaneous operating conditions are abnormal or, determine that instantaneous operating conditions are normal when matching is unsuccessful.
In conclusion monitoring system includes：One client, is arranged in angioradiographic system, is made for obtaining blood vessel
The real process data of shadow system, and real process data is sent to high in the clouds；One monitoring device, arrangement beyond the clouds, are used for
Instantaneous operating conditions based on real process data monitoring angioradiographic system.
Therefore, embodiment of the present invention proposes a kind of technical solution in remote real time monitoring Medical Devices, can and
When understand the working conditions of the Medical Devices such as angioradiographic system.
Moreover, real process data is sent to high in the clouds by client, it can be by the professional person in high in the clouds to real-time process number
According to various subsequent processings are carried out, the operating pressure of the medical staff at the Medical Devices such as angioradiographic system end can also be reduced.
In addition, when angioradiographic system is when the instantaneous operating conditions of Medical Devices are abnormal, embodiment of the present invention was both
Alarm can be sent out beyond the clouds, alarm can also be sent out at the Medical Devices such as angioradiographic system end, convenient for everywhere
Staff in time understand be abnormal.
In addition, embodiment of the present invention is also based on artificial neural network training algorithm training abnormal data signal feature
Library improves the monitoring precision of the Medical Devices such as angioradiographic system.
Embodiment of the present invention also provides a kind of computer-readable medium, and computer is stored on the computer-readable medium
Instruction, the computer instruction make processor perform the monitoring method of above-mentioned Medical Devices when being executed by processor.Specifically,
System or device equipped with storage medium can be provided, store on the storage medium any in realization the above embodiment
The software program code of the function of embodiment, and read and execute the computer of the system or device (or CPU or MPU)
The program code being stored in storage medium.In this case, it can be achieved in itself from the program code that storage medium is read
The function of any one embodiment in embodiment is stated, therefore the storage medium of program code and storage program code constitutes
The part of the present invention.
For provide the storage medium embodiment of program code include floppy disk, hard disk, magneto-optic disk, CD (such as CD-ROM,
CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), tape, non-volatile memory card and ROM.Selectively,
Can by communication network from server computer download program code.
Further, it should be apparent that not only can be by performing the program code read-out by computer, but also can pass through
Instruction based on program code makes operating system of calculating hands- operation etc. to complete partly or completely practical operation, so as to
Realize the function of any one embodiment in the above embodiment.
Further, it is to be appreciated that by the expansion board being inserted into computer is write by the program code that storage medium is read
In in set memory or write in the memory set in the expanding element being connected with computer, then based on journey
The instruction of sequence code makes CPU in expansion board or expanding element etc. come execution part and whole practical operations, so as to
Realize the function of any embodiment in the above embodiment.
It should be noted that step and module not all in above-mentioned each flow and each system construction drawing is all necessary
, certain steps or module can be ignored according to the actual needs.Each step execution sequence be not it is fixed, can be according to need
It is adjusted.System structure described in the respective embodiments described above can be physical arrangement or logical construction, that is,
Some modules may be realized by same physical entity, be realized alternatively, some modules may divide by multiple physical entities, alternatively, can
To be realized jointly by certain components in multiple autonomous devices.
In above each embodiment, hardware cell mechanically or can be realized electrically.A for example, hardware
Unit can include permanent dedicated circuit or logic (such as special processor, FPGA or ASIC) to complete corresponding operating.
Hardware cell can also include programmable logic or circuit (such as general processor or other programmable processors), can be by software
Interim setting is carried out to complete corresponding operating.Concrete implementation mode (mechanical system or dedicated permanent circuit or
The circuit set temporarily) it can be determined based on cost and temporal consideration.
The above, only better embodiment of the invention, are not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on should be included in the guarantor of the present invention
Within the scope of shield.
Claims (10)
1. the monitoring system of a kind of Medical Devices, which is characterized in that the monitoring system includes：
One client is arranged on the Medical Devices, for obtaining a real process data of the Medical Devices, and by institute
It states real process data and is sent to a high in the clouds；
One monitoring device is arranged in the high in the clouds, real for one based on the real process data monitoring Medical Devices
When working condition.
2. the monitoring system of Medical Devices according to claim 1, which is characterized in that the monitoring device includes：
One interface module, for obtaining the real process data；
One analysis module, for the real process data to be matched with an abnormal data signal feature database；Wherein：When
Determine that the instantaneous operating conditions are abnormal or, determine the instantaneous operating conditions for just when matching is unsuccessful during with success
Often.
3. the monitoring system of Medical Devices according to claim 2, which is characterized in that the monitoring system further includes：
One first alarm module, is arranged in the high in the clouds, for sending out one first report when the instantaneous operating conditions are abnormal
Alert signal；And/or
One second alarm module, is arranged on the Medical Devices, for sending out one when the instantaneous operating conditions are abnormal
Second alarm signal.
4. the monitoring system of Medical Devices according to claim 1, which is characterized in that the monitoring system further includes：
One virtual private network gateway is arranged between the client and the monitoring device；And/or
One fire wall is arranged between the client and the monitoring device.
5. a kind of monitoring device of Medical Devices, which is characterized in that including：
One interface module, for obtaining a real process data from a Medical Devices via telecommunication network connection；
One analysis module, for the real process data to be matched with an abnormal data signal feature database；Wherein：When
Determine that an instantaneous operating conditions of the Medical Devices determine the medical treatment for exception or, when matching is unsuccessful during with success
One instantaneous operating conditions of equipment are normal.
6. the monitoring device of Medical Devices according to claim 5, which is characterized in that
The monitoring device further includes：One first alarm module, for sending out one first when the instantaneous operating conditions are abnormal
Alarm signal；
And/or
The abnormal data signal feature database is an adjustable abnormal data signal feature database of dynamic, and the monitoring device is also wrapped
It includes：One training module trains the abnormal data signal feature database for being based on an artificial neural network training algorithm.
7. a kind of client of Medical Devices, which is characterized in that including：
One data acquisition module, for acquiring a real process data of the Medical Devices；
One communication module, for the real process data to be sent to a high in the clouds.
8. the client of Medical Devices according to claim 7, which is characterized in that
The communication module is additionally operable to receive an abnormal notification message from the high in the clouds；
The client further includes：One second alarm module sends out one second alarm signal for being based on the abnormal notification message
Number.
9. a kind of monitoring method of Medical Devices, which is characterized in that this method includes：
Telecommunication network connection is established between a Medical Devices and a high in the clouds；
A real process data of the Medical Devices is obtained, is connected based on the telecommunication network and sends out the real process data
It is sent to the high in the clouds；
An instantaneous operating conditions of the Medical Devices are monitored based on the real process data in the high in the clouds.
10. the monitoring method of Medical Devices according to claim 9, which is characterized in that described to be based on real-time mistake beyond the clouds
The instantaneous operating conditions of journey data monitoring Medical Devices include：
Determine an abnormal data signal feature database；
The abnormal data signal feature database is trained based on an artificial neural network training algorithm；
The real process data is matched with the abnormal data signal feature database after training；Wherein：When matching into
Determine that the instantaneous operating conditions are abnormal or, determine that the instantaneous operating conditions are normal when matching is unsuccessful during work(.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611167356.XA CN108206837A (en) | 2016-12-16 | 2016-12-16 | Monitoring system, monitoring device, client and the monitoring method of Medical Devices |
| PCT/EP2017/082886 WO2018109107A1 (en) | 2016-12-16 | 2017-12-14 | Monitoring system, monitoring apparatus, client, and monitoring method for medical device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611167356.XA CN108206837A (en) | 2016-12-16 | 2016-12-16 | Monitoring system, monitoring device, client and the monitoring method of Medical Devices |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108206837A true CN108206837A (en) | 2018-06-26 |
Family
ID=61054305
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611167356.XA Pending CN108206837A (en) | 2016-12-16 | 2016-12-16 | Monitoring system, monitoring device, client and the monitoring method of Medical Devices |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN108206837A (en) |
| WO (1) | WO2018109107A1 (en) |
Cited By (3)
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|---|---|---|---|---|
| CN111128360A (en) * | 2019-12-24 | 2020-05-08 | 北京绪水互联科技有限公司 | Method, device and system for automatically calibrating examination parameters of medical equipment |
| CN111194431A (en) * | 2018-09-14 | 2020-05-22 | 西安大医集团有限公司 | Method, device and system for diagnosing state of radiotherapy equipment and storage medium |
| CN111256757A (en) * | 2020-02-25 | 2020-06-09 | 深圳哈维生物医疗科技有限公司 | Medical equipment monitoring system and method based on cloud computing |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112363892A (en) * | 2020-11-30 | 2021-02-12 | 深圳新红医医疗科技有限公司 | Remote monitoring system and server of medical self-service equipment and medical self-service equipment |
| CN114093497B (en) * | 2021-11-23 | 2022-06-03 | 江苏大学附属医院 | Radiotherapy remote consultation monitoring device, system and method based on virtual private network |
| CN117251698B (en) * | 2023-11-17 | 2024-01-19 | 北京德众国良环保科技有限公司 | Block chain-based on-line monitoring method and system for purifying cooking fume in catering industry |
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| DE102005013852A1 (en) | 2005-03-24 | 2006-10-05 | Siemens Ag | Medical device and method for the remote maintenance of a medical device |
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| CN1414512A (en) * | 2002-11-30 | 2003-04-30 | 王洪烈 | Medical instrument operating condition monitoring method |
| CN101766847A (en) * | 2008-12-26 | 2010-07-07 | 北京谊安医疗系统股份有限公司 | Wireless monitoring system for medical equipment |
| CN202331175U (en) * | 2011-11-28 | 2012-07-11 | 山东博科生物产业有限公司 | Remote control system for medical equipment |
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| Publication number | Publication date |
|---|---|
| WO2018109107A1 (en) | 2018-06-21 |
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