CN112754434A - Information anesthesia depth monitoring system and method - Google Patents
Information anesthesia depth monitoring system and method Download PDFInfo
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- 206010002091 Anaesthesia Diseases 0.000 title claims abstract description 301
- 230000037005 anaesthesia Effects 0.000 title claims abstract description 301
- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 claims abstract description 48
- 238000004891 communication Methods 0.000 claims abstract description 31
- 238000013500 data storage Methods 0.000 claims abstract description 11
- 210000004556 brain Anatomy 0.000 claims description 44
- 238000004364 calculation method Methods 0.000 claims description 36
- 230000036760 body temperature Effects 0.000 claims description 31
- 238000010586 diagram Methods 0.000 claims description 18
- 230000000052 comparative effect Effects 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 description 6
- 208000003443 Unconsciousness Diseases 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4821—Determining level or depth of anaesthesia
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
Abstract
The application relates to an information anesthesia depth monitoring system and method, belonging to the technical field of anesthesia depth monitoring, and comprising an anesthesia depth monitor, a detection control system arranged in the anesthesia depth monitor and a cloud data platform arranged at the cloud end; the detection control system comprises an anesthesia depth detection module, a data processing module, a data display module and a data communication module; the cloud data platform comprises a data storage module, a cloud communication module, a cloud computing module and a comparison computing module; the detection control system controls the anesthesia depth monitor to detect the anesthesia depth information, and the cloud data platform carries out accounting on the data and judges whether the anesthesia depth monitor is in fault or not and the fault degree.
Description
Technical Field
The invention relates to the technical field of anesthesia depth monitoring, in particular to an information anesthesia depth monitoring system and method.
Background
Medical personnel need use anesthesia depth monitor monitoring patient's anesthesia degree of depth when anaesthetizing the disease at present, guarantee to let patient's health be in unconsciousness state can not influence patient's healthy again.
The above prior art solutions have the following drawbacks: if the anesthesia depth monitor fails during the detection, the treatment of the patient may be affected, the health of the patient may be seriously affected, and if the anesthesia depth monitor fails less, the failure may not be detected during the debugging process.
Disclosure of Invention
In order to reduce the possibility of failure of the anesthesia depth monitor in detection, the application provides an information anesthesia depth monitor system and method.
On one hand, the information anesthesia depth monitoring system provided by the application adopts the following technical scheme:
an information anesthesia depth monitoring system comprises an anesthesia depth monitor, a detection control system arranged in the anesthesia depth monitor and a cloud data platform arranged at the cloud end;
the detection control system comprises an anesthesia depth detection module, a data processing module, a data display module and a data communication module;
the anesthesia depth detection module comprises an anesthesia depth sensor fixedly connected to the anesthesia depth monitor, the anesthesia depth sensor detects human brain electrical signals and transmits the human brain electrical signals to the anesthesia depth detection module and the data communication module, and the anesthesia depth detection module transmits the detected human brain electrical signals to the data processing module;
the data processing module receives the human brain electrical signal and then processes the human brain electrical signal to obtain anesthesia depth information, and sends the anesthesia depth information to the data display module and the data communication module;
the data display module receives the anesthesia depth information and then displays the anesthesia depth information;
the data communication module stores the serial number of the anesthesia depth monitor, and after receiving the anesthesia depth information, the data communication module sends the anesthesia depth information, the human brain electrical signal and the serial number to the cloud data platform;
the cloud data platform comprises a data storage module, a cloud communication module, a cloud computing module and a comparison computing module;
the data storage module receives the input number and the information, and the data storage module establishes a sub-database according to the number and stores the information into the corresponding sub-database;
the cloud communication module receives the anesthesia depth information, the human brain electric signal and the serial number sent by the data communication module, and transmits the anesthesia depth information and the human brain electric signal to the cloud computing module and the corresponding sub-database according to the serial number;
the cloud computing module computes contrast anesthesia depth information according to the received human brain electrical signals and records the current time, and the cloud computing module compares the contrast anesthesia depth information with the received anesthesia depth information to obtain a data difference value;
the comparison calculation module calls the data difference value, the comparison anesthesia depth information and the current time of the cloud calculation module, a calculation difference value hyperbolic diagram is manufactured according to the data difference value, the comparison anesthesia depth information and the current time, the comparison calculation module judges the failure degree of the anesthesia depth monitor according to the calculation difference value hyperbolic diagram, and the failure degree of the anesthesia depth monitor and the calculation difference value hyperbolic diagram are sent out.
By adopting the scheme, the detection control system of the anesthesia depth monitor can collect detection data and calculate anesthesia depth information in the detection process for reference of doctors. Meanwhile, the detection control system sends the data to the cloud data platform, the cloud data platform calculates the data and judges whether the anesthesia depth monitor fails or not, a failure degree and a calculation difference hyperbolic diagram are obtained, a manager can judge whether the anesthesia depth monitor needs to be overhauled or not through the failure degree and the calculation difference hyperbolic diagram, the currently used anesthesia depth monitor is temporarily processed, the health and safety of a patient are guaranteed, and the possibility of failure of the anesthesia depth monitor in detection is reduced.
Preferably, the comparison calculation module comprises a curve making unit, a standard storage unit and a fault judgment unit;
the curve making unit calls a data difference value, contrast anesthesia depth information, anesthesia depth information and current time of the cloud computing module, and the curve making unit makes a calculation difference hyperbola by taking the current time as an X axis and taking the data difference value and the contrast anesthesia depth information as a Y axis;
the standard storage unit stores a standard range of the anesthesia depth information, a curvature range of the anesthesia depth information and an information difference range;
the fault judgment unit calls the data difference value, the anesthesia depth information, the contrast anesthesia depth information and the difference value hyperbolic diagram of the curve making unit, the fault judgment unit calls the standard range of the anesthesia depth information, the change curvature range of the anesthesia depth information and the information difference value range stored in the standard storage unit, and the fault judgment module judges the fault degree of the anesthesia depth monitor according to the called information.
By adopting the scheme, the administrator needs to store the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information and the information difference range in advance, and the cloud data platform can automatically judge the received data according to the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information and the information difference range.
Preferably, the fault judging unit judges whether the anesthesia depth information is in the standard range of the anesthesia depth information, and if not, judges that the anesthesia depth monitor has a fault;
the fault judging unit judges whether the curvature of the contrast anesthesia depth information curve in the difference hyperbolic graph is within the change curvature range of the anesthesia depth information, and if not, the fault of the anesthesia depth monitor is judged;
the fault judgment unit calculates an absolute difference value between the information difference value and the information difference value range, and judges the fault degree of the anesthesia depth monitor according to the absolute difference value.
By adopting the scheme, the cloud data platform can judge whether the acquired data or the calculated data of the anesthesia depth monitor are abnormal or not and judge the abnormal degree, so that the cloud data platform can judge the fault condition more accurately.
Preferably, the detection control system further comprises a body temperature detection module, the body temperature detection module comprises an electrode type temperature sensor fixedly connected to the anesthesia depth monitor, the electrode type temperature sensor detects a body temperature value, the body temperature detection module transmits the body temperature value to the data processing module, and the data processing module displays the body temperature value for the data display module.
By adopting the scheme, the anesthesia depth monitor can detect the body temperature of a patient and provide more information for doctors.
On the other hand, the information anesthesia depth monitoring method provided by the application adopts the following technical scheme:
an information anesthesia depth monitoring method comprises the following steps:
the anesthesia depth detector detects human brain electrical signals and calculates anesthesia depth information according to the human brain electrical signals;
the anesthesia depth detector sends the anesthesia depth information and the human brain electrical signal to the cloud data platform;
the cloud data platform establishes a sub-database for each anesthesia depth detector, and stores the information of the corresponding anesthesia depth detector into the corresponding sub-database;
the cloud data platform receives the anesthesia depth information and the human brain electrical signals, the cloud data platform calculates contrast anesthesia depth information according to the human brain electrical signals and records current time, the cloud data platform subtracts the contrast anesthesia depth information from the received anesthesia depth information to obtain a data difference value, the cloud data platform makes a calculation difference value hyperbolic graph according to the data difference value, the contrast anesthesia depth information and the current time and judges the failure degree of the anesthesia depth monitor, and the cloud data platform sends the failure degree of the anesthesia depth monitor and calculates the difference value hyperbolic graph.
By adopting the above scheme, medical personnel can monitor patient's anesthesia depth information through anesthesia depth monitor, high in the clouds data platform can be automatically preserved the processing calculation to data simultaneously, obtain the fault information of anesthesia depth detector, managers can judge whether need overhaul anesthesia depth monitor through fault degree and calculation difference hyperbola graph, and handle the anesthesia depth monitor of using at present temporarily, guarantee patient health safety, reduce the possibility of anesthesia depth monitor trouble in the measuring.
Preferably, the cloud data platform makes a calculation difference hyperbola according to the data difference, the comparison anesthesia depth information and the current time, and judges the failure degree of the anesthesia depth monitor, including:
the cloud data platform prestores an anesthesia depth information standard range, an anesthesia depth information change curvature range and an information difference range, the cloud data platform makes a difference hyperbola according to the current time, the data difference and the comparison anesthesia depth information, and the cloud data platform judges the failure degree of the anesthesia depth monitor according to the anesthesia depth information standard range, the anesthesia depth information change curvature range and the information difference range.
By adopting the scheme, the administrator needs to store the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information and the information difference range in advance, and the cloud data platform can automatically judge the received data according to the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information and the information difference range.
Preferably, the cloud data platform judges the fault degree of the anesthesia depth monitor according to the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information change and the information difference range, and comprises the following steps:
the cloud data platform judges whether the anesthesia depth information is in the standard range of the anesthesia depth information, if not, the fault of the anesthesia depth monitor is judged, and if so, the fault is normal;
the cloud data platform judges whether the curvature of a contrast anesthesia depth information curve in the difference hyperbolic diagram is within the range of the change curvature of the anesthesia depth information, if not, the anesthesia depth monitor is judged to be in fault, and if so, the anesthesia depth monitor is normal;
and the cloud data platform calculates the absolute difference between the information difference and the information difference range, and judges the fault degree of the anesthesia depth monitor according to the absolute difference.
By adopting the scheme, the cloud data platform can judge whether the acquired data or the calculated data of the anesthesia depth monitor are abnormal or not and judge the abnormal degree, so that the cloud data platform can judge the fault condition more accurately.
Preferably, the method further comprises the following steps:
the anesthesia depth detector detects the body temperature of a human body through the electrode plates and displays the body temperature of the human body.
By adopting the scheme, the anesthesia depth monitor can detect the body temperature of a patient and provide more information for doctors.
In conclusion, the invention has the following beneficial effects:
1. medical personnel can monitor patient's anesthesia depth information through anesthesia depth monitor, high in the clouds data platform can be automatic to data save the processing calculation simultaneously, obtain the fault information of anesthesia depth detector, managers can judge whether need overhaul anesthesia depth monitor through degree of failure and calculation difference hyperbola graph, and handle the anesthesia depth monitor of current use temporarily, guarantee patient health safety, reduce the possibility of anesthesia depth monitor trouble in the measuring.
Drawings
FIG. 1 is an overall system block diagram of an information anesthesia depth monitoring system according to an embodiment of the present application;
FIG. 2 is a block diagram of an overall module of an information-based anesthesia depth monitoring system according to an embodiment of the present application;
FIG. 3 is a block diagram of a contrast calculation module of an information-based anesthesia depth monitoring system according to an embodiment of the present application.
In the figure, 1, an anesthesia depth monitor; 2. detecting a control system; 21. an anesthesia depth detection module; 211. an anesthesia depth sensor; 22. a body temperature detection module; 221. an electrode type temperature sensor; 23. a data processing module; 24. a data communication module; 25. a data display module; 3. a cloud data platform; 31. a cloud communication module; 32. a cloud computing module; 33. a data storage module; 34. a comparison calculation module; 341. a curve making unit; 342. a standard memory cell; 343. and a fault judgment unit.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses information-based anesthesia depth monitoring system, as shown in fig. 1 and fig. 2, including anesthesia depth monitor 1, set up detection control system 2 in anesthesia depth monitor 1 and set up in the high in the clouds data platform 3 in high in the clouds. The anesthesia depth monitor 1 is fixedly connected with an anesthesia depth sensor 211 and an electrode type temperature sensor 221. The anesthesia depth monitor 1 can detect the human brain electrical signal and the body temperature of a patient.
As shown in fig. 2, the detection control system 2 includes an anesthesia depth detection module 21, a body temperature detection module 22, a data processing module 23, a data display module 25 and a data communication module 24. The cloud data platform 3 includes a data storage module 33, a cloud communication module 31, a cloud computing module 32, and a comparison computing module 34.
As shown in fig. 2, the anesthesia depth sensor 211 detects a human brain electrical signal and transmits the human brain electrical signal to the anesthesia depth detection module 21 and the data communication module 24, and the anesthesia depth detection module 21 transmits the detected human brain electrical signal to the data processing module 23. The electrode temperature sensor 221 detects a body temperature value, and the body temperature detection module 22 transmits the body temperature value to the data processing module 23. The data processing module 23 receives the human brain electrical signal and the body temperature value, processes the human brain electrical signal to obtain the anesthesia depth information, and sends the anesthesia depth information and the body temperature value to the data display module 25 and the data communication module 24. The data display module 25 receives the anesthesia depth information and the body temperature value and then displays the anesthesia depth information and the body temperature value. The anesthesia depth monitor 1 can collect the detection data and calculate the anesthesia depth information and the body temperature value in the detection process by the detection control system 2 for the reference of the doctor.
As shown in fig. 2, the data communication module 24 stores the number of the anesthesia depth monitor 1, and the data communication module 24 receives the anesthesia depth information and then sends the anesthesia depth information, the human brain electrical signal and the number to the cloud communication module 31.
As shown in fig. 2, the data storage module 33 receives the input number and information, and the data storage module 33 establishes a sub-database according to the number and stores the information into the corresponding sub-database. The cloud data platform 3 establishes a sub-database for each anesthesia depth monitor 1.
As shown in fig. 2, the cloud communication module 31 receives the anesthesia depth information, the human brain electrical signal and the serial number sent by the data communication module 24, and the cloud communication module 31 transmits the anesthesia depth information and the human brain electrical signal to the cloud computing module 32 and the corresponding sub-database according to the serial number. The cloud computing module 32 computes contrast anesthesia depth information according to the received brain electrical signals and records the current time, and the cloud computing module 32 compares the contrast anesthesia depth information with the received anesthesia depth information to obtain a data difference value. The cloud data platform 3 automatically calculates the anesthesia depth information after receiving the brain electrical signals to obtain the contrast anesthesia depth information, and the accuracy of the contrast anesthesia depth information is higher than that of the received anesthesia depth information because errors are not easy to occur in the calculation of the cloud data platform.
As shown in fig. 2 and 3, the comparison calculation module 34 includes a curve making unit 341, a standard storage unit 342, and a failure determination unit 343. The curve creating unit 341 calls the data difference value, the comparative anesthesia depth information, the anesthesia depth information, and the current time of the cloud computing module 32. The curve creating unit 341 creates a calculation difference hyperbola using the current time as the X axis and using the data difference and the contrast anesthesia depth information as the Y axis. The standard storage unit 342 stores a standard range of the anesthesia depth information, a range of curvature of change of the anesthesia depth information, and a range of information difference. The fault determination unit 343 determines whether the anesthesia depth information is within the standard range of the anesthesia depth information, and if not, determines that the anesthesia depth monitor 1 is faulty. The fault determination unit 343 determines whether the curvature of the contrast anesthesia depth information curve in the difference hyperbola is within the range of the curvature of the anesthesia depth information change, and if not, determines that the anesthesia depth monitor 1 is faulty. The fault determination unit 343 calculates the absolute difference between the information difference and the information difference range, and determines the degree of fault of the anesthesia depth monitor 1 based on the absolute difference. The comparison calculation module 34 sends out a hyperbolic curve of the failure degree and the calculated difference value of the anesthesia depth monitor 1.
The administrator needs to store the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information and the information difference range in advance, and the cloud data platform 3 can automatically judge the received data according to the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information and the information difference range. The cloud data platform 3 can judge whether the collected data or the calculated data of the anesthesia depth monitor 1 are abnormal or not and the abnormal degree, so that the cloud data platform 3 can judge the fault condition more accurately.
The implementation principle of the information anesthesia depth monitoring system in the embodiment of the application is as follows: the anesthesia depth monitor 1 can collect the detection data and calculate the anesthesia depth information by the detection control system 2 in the detection process for the reference of the doctor. Meanwhile, the detection control system 2 sends data to the cloud data platform 3, the cloud data platform 3 calculates the data and judges whether the anesthesia depth monitor 1 fails or not, a failure degree and a calculation difference hyperbolic diagram are obtained, a manager can judge whether the anesthesia depth monitor 1 needs to be overhauled or not through the failure degree and the calculation difference hyperbolic diagram, temporary processing is carried out on the currently used anesthesia depth monitor 1, the health and safety of a patient are guaranteed, and the possibility that the anesthesia depth monitor 1 fails in detection is reduced.
The embodiment of the application discloses an information anesthesia depth monitoring method, which comprises the following specific steps:
the anesthesia depth detector detects human brain electrical signals and calculates anesthesia depth information according to the human brain electrical signals.
The anesthesia depth detector detects the body temperature of a human body through the electrode plates and displays the body temperature of the human body.
The anesthesia depth detector sends the anesthesia depth information and the human brain electrical signal to the cloud data platform 3.
The cloud data platform 3 establishes a sub-database for each anesthesia depth detector, and the cloud data platform 3 stores information corresponding to the anesthesia depth detectors into the corresponding sub-databases.
The cloud data platform 3 receives the anesthesia depth information and the human brain electrical signals, the cloud data platform 3 calculates contrast anesthesia depth information according to the human brain electrical signals and records the current time, the cloud data platform 3 subtracts the contrast anesthesia depth information and the received anesthesia depth information to obtain a data difference value, and the cloud data platform 3 prestores an anesthesia depth information standard range, an anesthesia depth information change curvature range and an information difference value range.
And the cloud data platform 3 makes difference hyperbolas according to the current time, the data difference and the contrast anesthesia depth information.
The cloud data platform 3 judges whether the anesthesia depth information is in the standard range of the anesthesia depth information, if not, the anesthesia depth monitor 1 is judged to be in fault, and if so, the anesthesia depth monitor is normal.
The cloud data platform 3 judges whether the curvature of the contrast anesthesia depth information curve in the difference hyperbolic graph is within the range of the change curvature of the anesthesia depth information, if not, the anesthesia depth monitor 1 is judged to be in fault, and if so, the anesthesia depth monitor is normal.
The cloud data platform 3 calculates an absolute difference value between the information difference value and the information difference value range, and judges the fault degree of the anesthesia depth monitor 1 according to the absolute difference value.
The cloud data platform 3 sends out the failure degree of the anesthesia depth monitor 1 and calculates a difference hyperbola.
The implementation principle of the information anesthesia depth monitoring method in the embodiment of the application is as follows: medical personnel can monitor patient's anesthesia depth information through anesthesia depth monitor 1, high in the clouds data platform 3 can be automatic to data save the processing calculation simultaneously, obtain the fault information of anesthesia depth detector, managers can judge whether need overhaul anesthesia depth monitor 1 through the fault degree with calculate difference hyperbola graph, and handle anesthesia depth monitor 1 that uses at present temporarily, guarantee patient health safety, reduce the possibility of anesthesia depth monitor 1 trouble in the measuring.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (8)
1. An information anesthesia depth monitoring system, includes anesthesia depth monitor (1), its characterized in that: the anesthesia depth monitoring system also comprises a detection control system (2) arranged in the anesthesia depth monitor (1) and a cloud data platform (3) arranged at the cloud end;
the detection control system (2) comprises an anesthesia depth detection module (21), a data processing module (23), a data display module (25) and a data communication module (24);
the anesthesia depth detection module (21) comprises an anesthesia depth sensor (211) fixedly connected to the anesthesia depth monitor (1), the anesthesia depth sensor (211) detects human brain electrical signals and transmits the human brain electrical signals to the anesthesia depth detection module (21) and the data communication module (24), and the anesthesia depth detection module (21) transmits the detected human brain electrical signals to the data processing module (23);
the data processing module (23) receives the human brain electrical signal and then processes the human brain electrical signal to obtain anesthesia depth information, and sends the anesthesia depth information to the data display module (25) and the data communication module (24);
the data display module (25) receives the anesthesia depth information and then displays the anesthesia depth information;
the data communication module (24) stores the number of the anesthesia depth monitor (1), and the data communication module (24) receives the anesthesia depth information and then sends the anesthesia depth information, the human brain electrical signal and the number to the cloud data platform (3);
the cloud data platform (3) comprises a data storage module (33), a cloud communication module (31), a cloud computing module (32) and a comparison computing module (34);
the data storage module (33) receives the input number and the information, and the data storage module (33) establishes a sub-database according to the number and stores the information into the corresponding sub-database;
the cloud communication module (31) receives the anesthesia depth information, the human brain electric signal and the serial number sent by the data communication module (24), and the cloud communication module (31) transmits the anesthesia depth information and the human brain electric signal to the cloud computing module (32) and the corresponding sub-database according to the serial number;
the cloud computing module (32) computes contrast anesthesia depth information according to the received human brain electrical signals and records the current time, and the cloud computing module (32) compares the contrast anesthesia depth information with the received anesthesia depth information to obtain a data difference value;
the comparison calculation module (34) calls the data difference value, the comparison anesthesia depth information and the current time of the cloud calculation module (32), a calculation difference value hyperbolic diagram is manufactured according to the data difference value, the comparison anesthesia depth information and the current time, the comparison calculation module (34) judges the fault degree of the anesthesia depth monitor (1) according to the calculation difference value hyperbolic diagram, and the fault degree of the anesthesia depth monitor (1) and the calculation difference value hyperbolic diagram are sent out.
2. The system of claim 1, wherein: the comparison calculation module (34) comprises a curve making unit (341), a standard storage unit (342) and a fault judgment unit (343);
the curve making unit (341) calls the data difference value, the contrast anesthesia depth information, the anesthesia depth information and the current time of the cloud computing module (32), and the curve making unit (341) makes a calculation difference hyperbola by taking the current time as an X axis and taking the data difference value and the contrast anesthesia depth information as a Y axis;
the standard storage unit (342) stores a standard range of anesthesia depth information, a curvature range of the change of the anesthesia depth information and an information difference range;
the fault judgment unit (343) calls the data difference, the anesthesia depth information, the comparative anesthesia depth information and the difference hyperbola of the curve making unit (341), the fault judgment unit (343) calls the standard range of the anesthesia depth information, the variation curvature range of the anesthesia depth information and the information difference range stored in the standard storage unit (342), and the fault judgment module judges the fault degree of the anesthesia depth monitor (1) according to the called information.
3. The system of claim 2, wherein: the fault judging unit (343) judges whether the anesthesia depth information is within the standard range of the anesthesia depth information, if not, the fault of the anesthesia depth monitor (1) is judged;
the fault judging unit (343) judges whether the curvature of the contrast anesthesia depth information curve in the difference hyperbola is within the range of the change curvature of the anesthesia depth information, if not, the fault of the anesthesia depth monitor (1) is judged;
the fault judgment unit (343) calculates the absolute difference between the information difference and the information difference range, and judges the fault degree of the anesthesia depth monitor (1) according to the absolute difference.
4. The system of claim 1, wherein: the detection control system (2) further comprises a body temperature detection module (22), the body temperature detection module (22) comprises an electrode type temperature sensor (221) fixedly connected to the anesthesia depth monitor (1), the electrode type temperature sensor (221) detects a body temperature value, the body temperature detection module (22) transmits the body temperature value to a data processing module (23), and the data processing module (23) displays the body temperature value for a data display module (25).
5. An information anesthesia depth monitoring method is characterized by comprising the following steps:
the anesthesia depth detector detects human brain electrical signals and calculates anesthesia depth information according to the human brain electrical signals;
the anesthesia depth detector sends the anesthesia depth information and the human brain electrical signal to the cloud data platform (3);
the cloud data platform (3) establishes a sub-database for each anesthesia depth detector, and the cloud data platform (3) stores the information corresponding to the anesthesia depth detector into the corresponding sub-database;
the anesthesia depth information and the human brain electrical signals are received by the cloud data platform (3), the comparison anesthesia depth information and the current time are calculated by the cloud data platform (3) according to the human brain electrical signals, the comparison anesthesia depth information and the received anesthesia depth information are subtracted by the cloud data platform (3) to obtain a data difference value, the calculation difference value hyperbolic diagram is manufactured by the cloud data platform (3) according to the data difference value and the comparison anesthesia depth information and the current time, the failure degree of the anesthesia depth monitor (1) is judged, and the failure degree of the anesthesia depth monitor (1) and the calculation difference value hyperbolic diagram are sent by the cloud data platform (3).
6. The information anesthesia depth monitoring method according to claim 5, wherein the cloud data platform (3) is used for making a calculation difference hyperbola according to the data difference, the contrast anesthesia depth information and the current time and judging the fault degree of the anesthesia depth monitor (1) comprises the following steps:
the cloud data platform (3) prestores an anesthesia depth information standard range, an anesthesia depth information change curvature range and an information difference range, the cloud data platform (3) makes a difference hyperbola according to the current time, the data difference and the contrast anesthesia depth information, and the cloud data platform (3) judges the fault degree of the anesthesia depth monitor (1) according to the anesthesia depth information standard range, the anesthesia depth information change curvature range and the information difference range.
7. The information anesthesia depth monitoring method according to claim 6, wherein the cloud data platform (3) judges the failure degree of the anesthesia depth monitor (1) according to the standard range of the anesthesia depth information, the curvature range of the anesthesia depth information change and the information difference range comprises:
the cloud data platform (3) judges whether the anesthesia depth information is in the standard range of the anesthesia depth information, if not, the anesthesia depth monitor (1) is judged to be in fault, and if so, the anesthesia depth monitor is normal;
the cloud data platform (3) judges whether the curvature of a contrast anesthesia depth information curve in the difference hyperbolic diagram is within the range of the change curvature of the anesthesia depth information, if not, the cloud data platform judges that the anesthesia depth monitor (1) has a fault, and if so, the cloud data platform is normal;
the cloud data platform (3) calculates an absolute difference value between the information difference value and the information difference value range, and judges the fault degree of the anesthesia depth monitor (1) according to the absolute difference value.
8. The method of claim 5, further comprising:
the anesthesia depth detector detects the body temperature of a human body through the electrode plates and displays the body temperature of the human body.
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