CN106803011A - Neural severe monitoring method - Google Patents
Neural severe monitoring method Download PDFInfo
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- CN106803011A CN106803011A CN201611007408.7A CN201611007408A CN106803011A CN 106803011 A CN106803011 A CN 106803011A CN 201611007408 A CN201611007408 A CN 201611007408A CN 106803011 A CN106803011 A CN 106803011A
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- clinical parameter
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- intracranial pressure
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a kind of neural severe monitoring method, wherein, sensor parameters data are obtained in real time, the sensor parameters data to obtaining carry out real-time processing and obtain clinical parameter, and clinical parameter includes：Numerical data, Wave data, are shown in real time to clinical parameter；Real time record is carried out to clinical parameter；Clinical parameter cloud is shared to internet.The data of multiple sensors are shown and recorded simultaneously by the form of numerical value and waveform in real time, is easy to medical personnel to understand the critical data of patient, improved the operating efficiency of medical personnel.
Description
Technical field
The present invention relates to a kind of Medical Devices, more particularly to a kind of neural severe monitoring method.
Background technology
The morbidity urgency of neural critically ill patient, is in a bad way, and course of disease change is quick, and deterioration degree is violent.Need by continuing
Monitoring, finds change of illness state in time, and medical personnel are intervened in the very first time, so as to reduce secondary lesion.
In addition to the vital sign that critically ill patient is routinely carried out is monitored, Neurology or neurosurgical are directed to both at home and abroad
The training monitoring means of patient is mainly：Monitoring intracranial pressure, transcranial Doppler monitoring, eeg monitoring.Also there are a small number of hospitals can be with
Launch the costs such as brain temperature, encephalic micro-dialysis, brain oxygen, brain blood flow flow velocity higher, the monitoring higher of clinical manipulation difficulty.
At present, the not training monitoring system or data platform of neural severe, can extract various monitoring means
In key message, and help medical personnel's real-time synchronization record parameters.
Neural training monitoring, generally all on respective main frame screen, shows the information of different attribute.For example：Intracranial pressure
Monitoring screen display intracranial pressure instantly, transcranial Doppler monitoring display image data, eeg monitoring display waveform data.Patient
Bedside monitor can record the data such as pulse, blood pressure, also can carry out intracranial pressure as the external equipment of intracrenial pressure monitor
Record, but the central data processing system provided by patient monitor producer is provided, data could be synchronized, store and return
Turn round and look at.Also having known device can carry out transcranial Doppler（TCD）, electroencephalogram（EEG）Data syn-chronization, but not by Neural monitoring
Important parameter-intracranial pressure it is included.Even the possible aggregation of data processing mode of both the above, there is row in equipment
His property so that the equipment choice of Neural remodeling room is limited.
There is no the neural Intensive care unit of relevant configuration, it is necessary to medical personnel are artificially observed multiple monitoring devices
With comprehensive reckoning, further judgement could be launched, for example：After mean arterial pressure numerical value being observed from bedside monitor, then
ICP numerical value instantly is observed, after mental arithmetic is subtracted each other, patient's cerebral perfusion pressure instantly is obtained.The later stage of Monitoring Data returns
Turn round and look at, then by hand-kept and many data manual integrations.
Perfusion pressure, the wave amplitude of intracranial pressure, the wave amplitude of blood pressure, the coefficient correlation PRx between intracranial pressure and blood pressure, intracranial pressure wave
The numerical value such as the coefficient correlation IAAC between width and blood pressure wave amplitude medically have important references to make to judging patient's brain compliance etc.
With, but cannot realize at present, can only on computers look back in the later stage and use.
Under the trend of the overall electronization of clinical information, present technology and data acquiring mode, it is difficult to realize different dimensions
Between or dimension of the same race between Monitoring Data contrast, be unfavorable for giving priority to neural training.Intracranial pressure, TCD and EEG etc. need to rely on special
Determine the connection of training equipment, realize the autonomous device of data conversion and record, it is necessary to a platform for neural severe training, real
Now it is uniformly processed and accesses.Rather than equipment switching by the limited notice of clinical staff, is dissipated in, equipment is connected, and data are again
In the work such as secondary treatment.
The content of the invention
The invention discloses a kind of neural severe monitoring method, it is used to solve lack in the prior art at a kind of concentrated collection
The problem of the technology of reason and display various clinical monitoring parameter.
Above-mentioned purpose of the invention is achieved through the following technical solutions：
A kind of neural severe monitoring method, wherein, sensor parameters data are obtained in real time, the sensor parameters data to obtaining are entered
Row real-time processing obtains clinical parameter, and clinical parameter includes：Numerical data, Wave data, are shown in real time to clinical parameter；
Real time record is carried out to clinical parameter；Clinical parameter cloud is shared to internet.
Nerve severe monitoring method as described above, wherein, sensor parameters data are obtained in real time to be included：Obtain intracranial pressure
Intracranial pressure data and blood pressure data are processed by data, acquisition blood pressure data, obtain cerebral perfusion pressure numerical data；Brain is filled
Injection pressure numerical data is shown, and shows a critical value simultaneously.
Nerve severe monitoring method as described above, wherein, numerical data includes：Intracranial pressure wave amplitude data, blood pressure wave amplitude
Coefficient correlation PRx between data, intracranial pressure and blood pressure, the coefficient correlation IAAC between intracranial pressure wave amplitude and blood pressure wave amplitude, cranium
Relative coefficient RAP between internal pressure wave amplitude and intracranial pressure numerical value.
Nerve severe monitoring method as described above, wherein, the sensor parameters data to obtaining carry out real-time processing and obtain
Taking clinical parameter includes：The sensor parameters data that will be obtained import one and count tool storage room, are obtained by the computing of statistical tool storehouse
Clinical parameter data.
Nerve severe monitoring method as described above, wherein, Wave data includes：Intracranial pressure waveform；Intracranial pressure waveform is
The platform ripple of intracranial pressure；Intracranial pressure parameter is shown in real time, and whether real-time judge intracranial pressure parameter is in setting range,
The timing node and lasting duration are recorded if beyond setting range, and is alarmed.
Nerve severe monitoring method as described above, wherein, outside screenshotss order is obtained, preserve and obtain outside screenshotss order
When the clinical parameter picture that shows；Freeze command outside obtaining, freezes the display picture of clinical parameter.
Nerve severe monitoring method as described above, wherein, clinical parameter cloud is shared to internet to be included：Clinic is joined
Number is read out, and clinical parameter is labeled, is explained, clinical parameter is oriented by network and is shared.
Nerve severe monitoring method as described above, wherein, clinical parameter cloud is shared to internet, by clinical parameter number
According to server is imported, clinical parameter data are modeled, obtain clinical parameter model data, obtained and close complication data and change
Amount data；Clinical parameter model data is imported into historical data storehouse, decision support data is obtained.
Nerve severe monitoring method as described above, wherein, receive and look back order, read and look back facing in subcommand time section
Bed parameter, and show the variation tendency of clinical parameter and clinical parameter.
In sum, by adopting the above-described technical solution, the present invention solves and lack in the prior art a kind of concentration and adopt
The problem of the technology of collection treatment and display various clinical monitoring parameter, in real time by the form of numerical value and waveform to multiple sensors
Data simultaneously shown and recorded, be easy to medical personnel understand patient critical data, improve the work of medical personnel
Efficiency, reduces workload and the working time of medical personnel.
Specific embodiment
The present invention is described further with reference to embodiment：
The invention also discloses a kind of neural severe monitoring method, wherein, including：Sensor parameters data are obtained in real time, to obtaining
The sensor parameters data for taking carry out real-time processing and obtain clinical parameter, and clinical parameter includes：Numerical data, Wave data, it is right
Clinical parameter is shown in real time；Real time record is carried out to clinical parameter；Clinical parameter cloud is shared to internet, the present invention is logical
Cross the treated sensing data of the form centralized displaying of digital and waveform so that medical personnel intuitively observe the feelings of patient
Condition, and share transmission by what internet carried out data, realize sharing and application extension for clinical data.
Further, medical personnel can log in the clinical ginseng that internet reads high in the clouds by mobile terminal or computer terminal
Number, carries out the monitoring of patient's condition anywhere or anytime.
Further, the strange land consultation of doctors can be carried out by way of Telnet.
Further, sensor parameters data are obtained in real time includes：Obtain intracranial pressure data, blood pressure data obtained, to cranium
Internal pressure data and blood pressure data are processed, and obtain cerebral perfusion pressure numerical data；Cerebral perfusion pressure numerical data is shown, and
A critical value is shown simultaneously.
Further, in specific real-time process, can be calculated in the following ways：Brain irrigates CPP=mean arterial pressures
MAP-intracranial pressure ICP.System by extracting the real time data MAP of patient bedside patient monitor, the synchronous intracrenial pressure monitor that extracts
Real-time intracranial pressure data ICP, using the computing formula of CPP, directly shows CPP real time values, and obtain cranium in system terminal
Relative coefficient RAP between internal pressure wave amplitude and intracranial pressure numerical value.
Further, numerical data includes：Intracranial pressure wave amplitude data, blood pressure wave amplitude data, between intracranial pressure and blood pressure
Coefficient correlation IAAC between coefficient correlation PRx, intracranial pressure wave amplitude and blood pressure wave amplitude, between intracranial pressure wave amplitude and intracranial pressure numerical value
Relative coefficient RAP.
Further, the sensor parameters data for obtaining are carried out with real-time processing acquisition clinical parameter includes：By what is obtained
Sensor parameters data import one and count tool storage room, and clinical parameter data are obtained by the computing of statistical tool storehouse.Staqtistical data base
Multiple formula for parameter change calculating are inside prestored, meanwhile, staqtistical data base also can be what is edited, user
Related formula and parameter can be set according to the situation adjustment for using, operated very flexible.
Further, Wave data includes：Intracranial pressure waveform；Intracranial pressure waveform is change, is that patient's brain compliance declines
One of important symbol, in conventional numerical monitor mode, or in noncontinuity monitoring record, the seizure difficulty of this feature compared with
Height, and the present invention is recorded by continuity incessantly, obtains the waveform of intracranial pressure；Intracranial pressure parameter is shown in real time,
And whether real-time judge intracranial pressure parameter in setting range, if beyond setting range to the timing node and it is lasting when
Length is recorded, and is alarmed.
Further, the present invention is being detected after intracranial pressure parameter recorded more than setting range, and prompting can be produced to believe
Breath, because the routine of medical personnel was checked with interval time, the prompt message can be played when medical personnel check and carried in time
Awake effect, for example, continue more than five minutes more than 50mmHg suddenly in intracranial pressure A ripples, that is, record this feature, and produce prompting
Information, after medical personnel click on the information, the prompt message is not reresented.
Further, the scope of intracranial pressure Wave anomaly can be set, for example：Intracranial pressure is limited extremely
More than 20mmHg, perfusion pressure limits below 70mmHg extremely.
Further, any parameter exceeds setting value, and the method for the present invention can all carry out record and produce prompt message, and
Sound and light alarm is carried out when warning value scope is reached.
Further, outside screenshotss order is obtained, the clinical parameter picture for obtaining and being shown during outside screenshotss order is preserved；Obtain
The freeze command of outside is taken, freezes the display picture of clinical parameter.It is easy to medical personnel to catch note by screenshotss and freezing function
The change of the state of an illness is recorded, data characteristics during its change is obtained.The clinical parameter that screenshotss are obtained can carry out real-time sharing, improve
Communication efficiency between medical personnel.And freezing function then more applies situation at the scene, medical team is at the scene by freezing
Knot clinical parameter picture so that the medical personnel at scene can directly launch to inquire into.
Further, clinical parameter cloud is shared to internet includes：Clinical parameter is read out, clinical parameter is entered
Rower note, explanation, are oriented by network to clinical parameter and shared.
In specific implementation process of the present invention, first have to verify the authority of equipment, determine whether that reading this faces
The authority of bed parameter, if it has, then cloud is shared to internet, if it is not, cannot share, protects the privacy of patient.
Further, clinical parameter cloud is shared to internet, clinical parameter data is imported into server, to clinical parameter
Data are modeled, and obtain clinical parameter model data, obtain and close complication data and variable data；By clinical parameter pattern number
According to historical data storehouse is imported, decision support data is obtained.By the means of big data, clinical parameter is modeled, is included
Operation, also, related decision support is produced according to historical data, be easy to medical personnel preferably to monitor patient, prevention danger
Dangerous the occurrence of.
Further, receive look back order, read look back subcommand time section in clinical parameter, and show clinical parameter and
The variation tendency of clinical parameter.
Claims (9)
1. a kind of neural severe monitoring method, it is characterised in that obtain sensor parameters data in real time, to the sensor ginseng for obtaining
Number data carry out real-time processing and obtain clinical parameter, and clinical parameter includes：Numerical data, Wave data, are carried out to clinical parameter
Display in real time；Real time record is carried out to clinical parameter；Clinical parameter cloud is shared to internet.
2. neural severe monitoring method according to claim 1, it is characterised in that obtain sensor parameters packet in real time
Include：Obtain intracranial pressure data, obtain blood pressure data, intracranial pressure data and blood pressure data are processed, obtain cerebral perfusion pressure number
Digital data；Cerebral perfusion pressure numerical data is shown, and shows a critical value simultaneously.
3. neural severe monitoring method according to claim 2, it is characterised in that numerical data includes：Intracranial pressure wave amplitude
Data, blood pressure wave amplitude data, the coefficient correlation PRx between intracranial pressure and blood pressure, the phase between intracranial pressure wave amplitude and blood pressure wave amplitude
Relation number IAAC, the relative coefficient RAP between intracranial pressure wave amplitude and intracranial pressure numerical value.
4. neural severe monitoring method according to claim 1, it is characterised in that the sensor parameters data to obtaining are entered
Row real-time processing obtains clinical parameter to be included：The sensor parameters data that will be obtained import one and count tool storage room, by counting work
Tool storehouse computing obtains clinical parameter data.
5. neural severe monitoring method according to claim 1, it is characterised in that Wave data includes：Intracranial pressure waveform；
Intracranial pressure parameter is shown in real time, and whether real-time judge intracranial pressure parameter is in setting range, if beyond setting model
Enclose, the timing node and lasting duration are recorded, and alarmed.
6. neural severe monitoring method according to claim 1, it is characterised in that obtain outside screenshotss order, preservation is obtained
Take the clinical parameter picture shown during outside screenshotss order；Freeze command outside obtaining, freezes the display picture of clinical parameter.
7. neural severe monitoring method according to claim 1, it is characterised in that share to internet clinical parameter cloud
Including：Clinical parameter is read out, clinical parameter is labeled, is explained, clinical parameter is oriented point by network
Enjoy.
8. neural severe monitoring method according to claim 1, it is characterised in that share to interconnection clinical parameter cloud
Clinical parameter data are imported server by net, and clinical parameter data are modeled, and obtain clinical parameter model data, are obtained
Close complication data and variable data；Clinical parameter model data is imported into historical data storehouse, decision support data is obtained.
9. neural severe monitoring method according to claim 1, it is characterised in that receive and look back order, reads and looks back life
The clinical parameter in the time period is made, and shows the variation tendency of clinical parameter and clinical parameter.
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| CN201611007408.7A CN106803011A (en) | 2016-11-16 | 2016-11-16 | Neural severe monitoring method |
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| CN201611007408.7A CN106803011A (en) | 2016-11-16 | 2016-11-16 | Neural severe monitoring method |
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| US20110066006A1 (en) * | 2009-09-14 | 2011-03-17 | Matt Banet | System for measuring vital signs during hemodialysis |
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| CN105054903A (en) * | 2015-06-29 | 2015-11-18 | 苏州景昱医疗器械有限公司 | Multi-parameter monitoring system |
| CN105852799A (en) * | 2015-01-21 | 2016-08-17 | 深圳迈瑞生物医疗电子股份有限公司 | Method for displaying cardio pulmonary resuscitation (CPR) monitoring data, equipment for displaying CPR monitoring data, breathing machine and monitoring instrument |
-
2016
- 2016-11-16 CN CN201611007408.7A patent/CN106803011A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110066006A1 (en) * | 2009-09-14 | 2011-03-17 | Matt Banet | System for measuring vital signs during hemodialysis |
| CN103815966A (en) * | 2012-11-19 | 2014-05-28 | 深圳迈瑞生物医疗电子股份有限公司 | Physiological parameter processing device and method |
| CN105852799A (en) * | 2015-01-21 | 2016-08-17 | 深圳迈瑞生物医疗电子股份有限公司 | Method for displaying cardio pulmonary resuscitation (CPR) monitoring data, equipment for displaying CPR monitoring data, breathing machine and monitoring instrument |
| CN105054903A (en) * | 2015-06-29 | 2015-11-18 | 苏州景昱医疗器械有限公司 | Multi-parameter monitoring system |
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Application publication date: 20170606 |
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