WO2022135605A1

WO2022135605A1 - Monitoring information display method, electroencephalogram abnormality alarm method, and monitoring system

Info

Publication number: WO2022135605A1
Application number: PCT/CN2021/141764
Authority: WO
Inventors: 杨崟冰; 吴学磊; 王澄; 何先梁; 代巍巍; 刘帅军
Original assignee: 深圳迈瑞生物医疗电子股份有限公司
Priority date: 2020-12-25
Filing date: 2021-12-27
Publication date: 2022-06-30
Also published as: CN116669630A

Abstract

A monitoring system, an electroencephalogram abnormality alarm method and a monitoring information display method. The monitoring system comprises a display (40) and a processor (50), the processor (50) being used for acquiring first monitoring data of an electroencephalogram parameter of a patient in a first monitoring period, and acquiring second monitoring data of at least one other monitoring parameter other than the electroencephalogram parameter of the patient in a second monitoring period, the first monitoring period and the second monitoring period at least partially overlapping; generating, according to the first monitoring data, an amplitude integrated electroencephalogram (1) of the first monitoring period, and generating, according to the second monitoring data, a trend chart of the at least one other monitoring parameter; and controlling the display (40) to display the amplitude integrated electroencephalogram (1) and the trend chart simultaneously. In the monitoring system, a user can more accurately compare the amplitude integrated electroencephalogram (1) with the trend chart of the other monitoring parameter, thereby improving the accuracy of health evaluation of the patient.

Description

Display method of monitoring information, alarm method and monitoring system of abnormal electroencephalogram

technical field

The invention relates to the field of medical devices, in particular to a display method for monitoring information, an alarm method for abnormal electroencephalogram, and a monitoring system.

Background technique

At present, the monitoring process of EEG by monitoring system (such as monitor) is as follows: nurses monitor the display interface of electroencephalogram (EEG) in real time (always), so as to judge the patient's condition. Amplitude-integrated electroencephalography (AEEG) is obtained by compressing electroencephalogram (EEG), which can quickly present historical (eg, one-day) EEG signal changes. When an abnormality (such as a gap) is found on the amplitude-integrated EEG, the doctor needs to further review the original EEG for final confirmation. The problem in the above process is: simply relying on the amplitude integrated EEG to judge the patient's condition has a high false positive rate and insufficient accuracy. The causes of false positives include distortion of the EEG during the compression process, or interference in the acquisition of EEG signals. Currently, there is a lack of a monitoring system/display device (bedside monitor and central station), display method or display interface that can reliably and comprehensively assist medical staff in diagnosing patients' conditions based on EEG signals.

technical solutions

According to a first aspect, an embodiment provides a monitoring system, comprising:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters during the first monitoring period, and obtain the second monitoring data of the patient's at least one other monitoring parameter except the EEG parameter during the second monitoring period, the first monitoring period and the second monitoring period at least partially overlaps;

Generate an amplitude-integrated EEG of the first monitoring period according to the first monitoring data, and generate a trend graph of the at least one other monitoring parameter according to the second monitoring data;

The display is controlled to simultaneously display the amplitude-integrated electroencephalogram and the trend graph.

According to a second aspect, an embodiment provides a monitoring system, comprising:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters in the first monitoring period;

generating an amplitude-integrated EEG of the first monitoring period according to the first monitoring data;

controlling the display to display the amplitude-integrated EEG;

Based on the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG, a third monitoring period including the reference time point or reference time period selected by the user is determined, and the third monitoring period is determined. period is included in said first monitoring period;

generating an EEG parameter waveform of the third monitoring period according to the first monitoring data corresponding to the third monitoring period;

The display is controlled to display the EEG parameter waveform while displaying the amplitude-integrated EEG.

According to a third aspect, an embodiment provides a monitoring system, comprising:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters;

obtaining an amplitude-integrated electroencephalogram according to the first monitoring data;

acquiring the abnormal moment of the amplitude-integrated electroencephalogram;

Acquiring the second monitoring data of at least one other monitoring parameter of the patient in addition to the EEG parameter;

generating a trend graph of the at least one other monitoring parameter according to the second monitoring data;

acquiring the change characteristics on the trend graph at the abnormal moment;

According to the change characteristics on the trend graph, determine whether an abnormal EEG event occurs;

If an abnormal EEG event occurs, the display is controlled to display alarm information associated with the abnormal EEG event.

According to a fourth aspect, an embodiment provides a monitoring system, comprising:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters;

generating an amplitude-integrated electroencephalogram according to the first monitoring data;

acquiring physiological data of at least one other physiological parameter of the patient in addition to the monitoring parameter, the monitoring parameter including the EEG parameter;

generating a trend graph of at least one other physiological parameter according to the physiological data;

According to a fifth aspect, an embodiment provides a monitoring system, comprising:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters;

Obtain real-time EEG parameter waveforms according to the first monitoring data;

generating a real-time waveform diagram of at least one other monitoring parameter according to the second monitoring data;

The display is controlled to simultaneously display the real-time EEG parameter waveform and the real-time waveform graph.

According to a sixth aspect, an embodiment provides a method for displaying monitoring information, including:

Acquiring second monitoring data of at least one other monitoring parameter except the EEG parameter of the patient during the second monitoring period, the first monitoring period and the second monitoring period at least partially overlapping;

The amplitude-integrated EEG and the trend graph are displayed simultaneously.

According to a seventh aspect, an embodiment provides a method for displaying monitoring information, including:

displaying the amplitude-integrated EEG;

The EEG parameter waveform is displayed at the same time as the amplitude-integrated EEG is displayed.

According to an eighth aspect, an embodiment provides an alarm method for abnormal electroencephalogram, including:

Obtain the first monitoring data of the patient's EEG parameters;

acquiring the abnormal moment of the amplitude-integrated electroencephalogram;

acquiring the change characteristics on the trend graph at the abnormal moment;

If an abnormal EEG event occurs, alarm information associated with the abnormal EEG event is displayed.

According to a ninth aspect, an embodiment provides a method for displaying monitoring information, including:

Obtain the first monitoring data of the patient's EEG parameters;

The amplitude-integrated EEG and the trend graph are displayed simultaneously.

According to a tenth aspect, an embodiment provides a method for displaying monitoring information, including:

Obtain the first monitoring data of the patient's EEG parameters;

Simultaneously display the real-time EEG parameter waveform and the real-time waveform graph.

According to an eleventh aspect, an embodiment provides a monitoring system, comprising:

memory for storing programs;

A processor, configured to implement the method of any one of the sixth aspect to the tenth aspect by executing the program stored in the memory.

According to a twelfth aspect, an embodiment provides a computer-readable storage medium, where a program is stored on the medium, and the program can be executed by a processor to implement any one of the sixth to tenth aspects the method described.

beneficial effect

According to the above embodiment, the amplitude of the first monitoring period is integrated with the EEG and the trend graph of at least one other monitoring parameter of the second monitoring period is displayed simultaneously. The first monitoring period and the second monitoring period overlap at least partially, so when the two When the amplitude-integrated EEG occurs abnormally at a certain moment or time period in the overlapping period, the changes of other monitoring parameters at the same time can always be found in the trend graph of at least one other monitoring parameter, so as to combine the amplitude-integrated EEG and other monitoring parameters. The parameter reduces the false positive rate of the test result and improves the accuracy of the test.

Description of drawings

1 is a schematic diagram of the composition and structure of a monitoring system according to an embodiment;

2 is a schematic diagram of a display interface of monitoring information according to the first embodiment;

3 is a schematic diagram of a display interface of monitoring information according to the second embodiment;

4 is a schematic diagram of a display interface of monitoring information according to a third embodiment;

5 is a schematic diagram of a display interface of monitoring information according to a fourth embodiment;

6 is a schematic diagram of a display interface of monitoring information according to a fifth embodiment;

7 is a schematic diagram of a display interface of monitoring information according to the sixth embodiment;

8 is a flowchart of a method for displaying monitoring information according to an embodiment;

9 is a flowchart of a method for displaying monitoring information according to another embodiment;

10 is a flowchart of a method for displaying monitoring information according to another embodiment;

11 is a flowchart of an embodiment of an alarm identification method based on monitoring information;

1. Amplitude integrated EEG;

2a. Heart rate trend graph;

2b, blood oxygen trend chart;

3. EEG parameter waveform;

4a. Heart rate waveform;

4b, blood oxygen waveform;

5. Real-time EEG parameter waveform;

6a. Real-time heart rate waveform;

6b, real-time blood oxygen waveform;

10. Input device;

20. Collection device;

30. Memory;

40. Display;

50. Processor.

x, the first display area;

y, the second display area;

z, the third display area;

m. Physiological information display area;

n. Display the sub-window;

e, marking line.

Embodiments of the present invention

The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments have used associated similar element numbers. In the following embodiments, many details are described so that the present application can be better understood. However, those skilled in the art will readily recognize that some of the features may be omitted under different circumstances, or may be replaced by other elements, materials, and methods. In some cases, some operations related to the present application are not shown or described in the specification, in order to avoid the core part of the present application being overwhelmed by excessive descriptions, and for those skilled in the art, these are described in detail. The relevant operations are not necessary, and they can fully understand the relevant operations according to the descriptions in the specification and general technical knowledge in the field.

Additionally, the features, acts, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can also be exchanged or adjusted in order in a manner obvious to those skilled in the art. Therefore, the various sequences in the specification and drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a necessary order unless otherwise stated, a certain order must be followed.

The serial numbers themselves, such as "first", "second", etc., for the components herein are only used to distinguish the described objects, and do not have any order or technical meaning. The "connection" and "connection" mentioned in this application, unless otherwise specified, include both direct and indirect connections (connections).

The current monitoring interface usually displays a real-time EEG parameter waveform and an amplitude-integrated EEG relative to the EEG parameter waveform. If the EEG signal is abnormal, it appears to the user that the abnormality is reflected in the real-time EEG parameter waveform, and the abnormality is "retained" on the amplitude-integrated EEG. Therefore, the amplitude-integrated brain Electrogram is an important basis for judging whether the EEG signal is abnormal. In clinical practice, medical staff usually refer to other monitoring parameters to determine whether the EEG is abnormal, but other monitoring parameters are generally on other monitoring equipment, and medical staff need to spend a certain amount of energy in the amplitude integration of EEG and other monitoring equipment. In the comparison of the parameter trend graph. The improvement of the present invention lies in how to reduce the energy spent by medical staff on reference comparison as much as possible, and provide the user with the required information in the most intuitive and effective manner.

Referring to FIG. 1 , the present invention provides a monitoring system including an input device 10 , a collection device 20 , a memory 30 , a display 40 and a processor 50 .

The input device 10 is configured to receive input from a user (usually an operator), for example, one or more of a mouse, keyboard, touch display, trackball, joystick, etc. may be employed to receive user-inputted instructions, etc. . The user can perform input operations through the input device 10 .

The display 40 is configured for outputting information, eg visualizing information. The display 40 may be a display 40 having only a display function, or a touch display. It can be seen that the display 40 and the input device 10 are human-computer interaction devices of the monitoring system, and the human-computer interaction device can not only receive instructions input by the user, but also display visual information.

The acquisition device 20 is used to acquire monitoring data, for example, can be used to acquire the first monitoring data of the EEG parameters of the patient and the second monitoring data of at least one other monitoring parameter except the EEG parameters. The data is the monitoring data of the EEG parameters, and the second monitoring data refers to the monitoring data of other monitoring parameters other than the EEG parameters. The monitoring system of the present invention can be any one of a monitor, a local central station, a remote central station, a cloud service system, and a mobile terminal, and the corresponding acquisition device 20 acquires monitoring data in different ways. For example, if the monitoring system is a monitor, the acquisition device 20 may be a sensor, and the sensor is used to monitor the patient's monitoring parameters to obtain monitoring data of the monitoring parameters. In addition to EEG parameters, the types of monitoring parameters include cerebral oxygen, heart rate, respiration, non-invasive blood pressure, blood oxygen saturation, pulse, body temperature, blood sugar, invasive blood pressure, end-tidal carbon dioxide, respiratory mechanics, anesthetic gas, cardiac output, brain One or more of the electrical dual frequency index, etc., etc. For another example, the monitoring system may be a local central station, a remote central station, a cloud service system or a mobile terminal, and the acquisition device 20 is a communication module such as a communication device or a communication interface, which is used to communicate with the monitor and obtain the above-mentioned information from the monitor. Guardianship data.

The memory 30 is used to temporarily store or store the first monitoring data and the second monitoring data. At the same time, the intermediate values and calculation results of secondary processing such as calculation and comparison of the monitoring data can also be temporarily stored or stored in the memory 30. . The memory 30 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (Static Random Access Memory, SRAM for short), electrically erasable programmable read-only memory ( Electrically Erasable Programmable Read-Only Memory, EEPROM for short), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory , referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

The processor 50 may be configured to integrate the amplitude integrated electroencephalography 1 (aEEG, amplitude integrated electroencephalography) of the first monitoring period obtained according to the acquired first monitoring data, and also to generate at least one according to the second monitoring data in the second monitoring period. Trend graph of other monitoring parameters.

The above-mentioned first monitoring period can be the default time period of the monitoring system, or can be set based on the user's input. For example, the user can input any two of the three parameters of the start time point, duration and end time point of the first monitoring period. , the determined time period can be obtained as the first monitoring period.

The above-mentioned second monitoring period is obtained based on the first monitoring period, or changes with the changes of the first monitoring period. The first monitoring period and the second monitoring period must meet the conditions: the first monitoring period and the second monitoring period There is an overlap between the monitoring periods, that is, there must be at least a partial overlap between the two. If this condition is met, the second monitoring period may be a default time period, for example, the second monitoring period may be the same as the first monitoring period by default at the start time point and the end time point, or it may be input by the user For setting, for example, the midpoint of the first monitoring period is set as the starting point of the second monitoring period.

The above trend charts are also called transition charts, running charts, chain charts, trend charts, and so on. A trend graph can be used to reflect the relationship between one or more variables and time, that is, the trend of the one or more variables over time. For example, the trend graph may take time as the horizontal axis and the variable to be observed as the vertical axis, and observe the trend and/or deviation of the change and development of the variable. The time on the horizontal axis can be seconds, minutes, hours, days, months, years, etc., and each time point should be continuous and uninterrupted. The observed variables on the vertical axis can be absolute quantity/absolute value, average value, incidence rate, etc. In this paper, the trend graph of monitoring parameters other than EEG parameters can be used to reflect the trend of a monitoring parameter over time. For example, the parameter value of the monitoring parameter changes with time. It can be either an absolute value collected at a certain sampling rate, or an average value in each fixed time period collected and calculated at a certain sampling rate. Therefore, for a monitoring parameter, the "variable" in the trend graph is usually the parameter value of the monitoring parameter. In addition, in the form of the trend graph, as long as it can reflect the changing trend of the monitoring parameters, the trend graph can be one of a curve graph, a histogram, a bar graph, a box plot, a scatter graph, a line graph, or a It is a combination of curve graphs, histograms, bar graphs, boxplots, scatter plots, and line graphs. In this embodiment, the trend graphs of the monitoring parameters other than the EEG parameters are described by taking a curve graph as an example, and generally, the monitoring parameters are heart rate and blood oxygen as an example for description.

Referring to FIG. 2, after obtaining the amplitude-integrated EEG 1 in the first monitoring period and the heart rate trend diagram 2a and the blood oxygen trend diagram 2b in the second monitoring period, the processor 50 can control the first display area x on the display 40 at the same time Amplitude-integrated EEG 1, heart rate trend 2a, and blood oxygen trend 2b are shown.

If the patient's amplitude-integrated EEG 1 is abnormal, and the abnormality occurs in the time period that coincides with the first monitoring period and the second monitoring period, the medical staff can directly observe the heart rate trend graph 2a and/or the blood oxygen trend graph 2b Changes at the corresponding moment or time period, so as to comprehensively judge the patient's condition in combination with heart rate and/or blood oxygen. For another example, when a suspected discharge pattern appears in the amplitude-integrated EEG 1, if the respiratory monitoring (RESP) is found to stop at the same time , it can be considered that the child has an apnea (AOP) event because of the presence of discharge.

Combined analysis of amplitude-integrated EEG1 with trend plots of other monitoring parameters can reduce the false positive rate. For medical staff, the steps of finding relevant parameters on other devices are also omitted, saving worry and effort.

In order to facilitate the medical staff to quickly locate the information to be viewed, the processor 50 can generate the time axis of the heart rate trend graph 2a and the blood oxygen trend graph 2b according to the time axis of the amplitude integrated EEG 1, so that the amplitude integrated EEG 1 , the heart rate trend graph 2a and the blood oxygen trend graph 2b have the same duration represented by the unit scale on the time axis, wherein the duration represented by the unit scale can be changed or preset, and the preset can be, for example, according to Specific duration/time scale/walking speed, etc. determined by medical guidelines, industry standards, etc. The embodiment shown in FIG. 2 is a display interface after the time axes of the heart rate trend diagram 2 a and the blood oxygen trend diagram 2 b are generated according to the time axes of the amplitude integration of the electroencephalogram 1 , in which the respective time axes are hidden. Intuitively, when medical staff observe the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b, they can observe the amplitude-integrated brain at the same moment or time period by moving their eyes the same distance along their respective time axes. Changes on Electrogram 1, Heart Rate Trend 2a, and Blood Oxygen Trend 2b.

The amplitude-integrated EEG 1 is obtained by compressing the first monitoring data. The generation method of the heart rate trend diagram 2a and the blood oxygen trend diagram 2b is also different from the generation method of the existing trend diagram, which is equivalent to the existing trend diagram. "Compression" is carried out. The existing trend graph traces the values of each parameter according to the set "window time", while in this application, the sampling and tracing of other monitoring parameters are automatically adjusted according to the amplitude integrated EEG 1. , so that the above-mentioned heart rate trend graph 2a and blood oxygen trend graph 2b maintain the synchronous compression with the amplitude-integrated EEG 1. That is to say, this example not only provides a solution for combining the amplitude of the first monitoring period with EEG 1 and the trend graphs of other monitoring parameters in the second monitoring period for joint presentation, but also provides how to organically and reasonably The two are presented together to facilitate the integration of the amplitudes of EEG 1 and the trend graphs of other monitoring parameters for reference and comparison.

In some embodiments, the amplitude-integrated EEG 1, the heart rate trend chart 2a, and the blood oxygen trend chart 2b can also be displayed side by side in the first display area x (for example, the three are arranged up and down or left and right, etc., this In the embodiment, the three are arranged up and down as an example), after they are displayed side by side, if you connect lines at the same time on the time axis in each figure, the multiple lines will be parallel to each other, so for medical staff, Observation is less laborious and helps healthcare workers focus more on analyzing the information. For example, as shown in FIG. 2, the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b are displayed side by side in an embodiment (the two amplitude-integrated EEG 1 are because there are two EEGs The measurement channel is similar to the two signals measured by two sensors at the same time), in this way, the first monitoring period and the second monitoring period are exactly the same (the start time point and the end time point are the same respectively), from the user's From a perspective, the window time (the total time displayed on the display 40 ) of the amplitude-integrated EEG 1, the heart rate trend graph 2a, and the blood oxygen trend graph 2b is the same, which is 3 hours. The amplitude-integrated EEG 1, the heart rate trend 2a, and the blood oxygen trend 2b are displayed side by side, and the three displays are compact and in line with the habit of human eyes.

In addition, the amplitude-integrated EEG 1, the heart rate trend 2a, and the blood oxygen trend 2b can also share a single time axis to facilitate the comparison of the three.

Also, in order to facilitate the reference and comparison of the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b, the processor 50 can control the display 40 to mark the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram respectively. A portion of Fig. 2b at the same moment in time or within a time period. For example, it can be marked with boxes, arrows, marked lines, symbols, texts, etc., and in Figure 2, the amplitude-integrated EEG 1, the heart rate trend chart 2a, and the blood oxygen trend chart 2b are not only displayed side by side, but also The line connecting the three respective time axes at the same time point is a vertical marker line e, which can be used as a marker to intersect with the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b respectively.

The above markers are dynamic markers, which can change the position on the amplitude-integrated EEG 1 in response to the first operation instruction input by the user. The position of the marker on the oxygen trend graph 2b also changes synchronously, so as to maintain the consistency of the time or time period pointed to by the marker. For example, in Figure 2, the user can move the marker line e as a marker by controlling the cursor with a mouse, thereby simultaneously changing the position where the marker line e intersects with the amplitude-integrated EEG 1, the heart rate trend graph 2a, and the blood oxygen trend graph 2b. Other operations on markers include, but are not limited to, gesture input instructions or manually dragging or clicking markers when the display 40 is a touch screen.

By labeling the amplitude-integrated EEG 1, heart rate trend 2a and blood oxygen trend 2b at the same time or the same time period, even if the time axis of the heart rate trend 2a and blood oxygen trend 2b does not depend on the amplitude-integrated EEG The time axis of 1 is generated, and the user can also quickly and accurately locate the parts to be referenced on the heart rate trend graph 2a and blood oxygen trend graph 2b.

In addition to referring to the trend graphs of other monitoring parameters, the amplitude-integrated EEG 1 can also be compared with the EEG parameter waveform 3 (EEG), and the EEG parameter waveform 3 used for comparison and the amplitude-integrated EEG 1 The signals are homologous, that is to say, the acquired first monitoring data of the patient is compressed and processed to generate an amplitude-integrated EEG 1 , and the original EEG parameter waveform 3 can be generated from the first monitoring data without compression. A method of referring to the EEG parameter waveform 3 based on the amplitude-integrated EEG 1 will be described below.

The monitoring system first determines the EEG parameter waveform 3 in which period of time the user wants to view based on the selection instruction for selecting a reference time point or a reference time period input by the user for the amplitude-integrated EEG 1 . Taking the user's selection of a reference time point as an example, the user can select (for example, double-click or hover for a long time) the coordinates on the time axis of the amplitude-integrated EEG 1 or a certain point of the amplitude-integrated EEG 1 through a peripheral device such as a mouse. Location Select the reference time point. Then the third monitoring period is determined based on the selected reference time point, and the relationship between the third monitoring period and the selected reference time point is: the third monitoring period should include the selected reference time point, because the monitoring system obtains the third monitoring period after the , the EEG parameter waveform 3 is generated according to the first monitoring data obtained in the third monitoring period, and the user can integrate the EEG parameter waveform 3 with the amplitude of the EEG parameter waveform 3 before and/or after the selected reference time point. Compare. For example, the length of the third monitoring period is preset as 30s. After the reference time point is selected, the system will automatically use 15s before and after the selected reference time point (30s in total) as the third monitoring period. The reference time point is selected as the start time point or the end time point of the third monitoring period. Of course, the length of the third monitoring period can be variable under the premise of satisfying and including the reference time point. The length of the third monitoring period set by the user is 10s. In order to obtain more information of the EEG parameter waveform 3 during the comparison and reference process, the length of the third monitoring period may be extended. Compared with the amplitude-integrated EEG 1, the EEG parameter waveform 3 in the third monitoring period is equivalent to uncompressed "raw data", and the user can "call out" the data at a certain time point or time period according to his own needs. "Original data" and compare it with the amplitude-integrated EEG 1. For example, when the user finds that the amplitude-integrated EEG 1 is abnormal at a certain time point or time period, he can review the corresponding EEG parameter waveform 3 to Get more information. It can be seen that the above scheme of simultaneously displaying the EEG parameter waveform 3 after selecting a reference time point or a reference time period in the amplitude-integrated EEG 1 has important clinical value.

There are many ways to compare and refer to the amplitude-integrated EEG 1 and the EEG parameter waveform 3 (EEG) of the above-mentioned third monitoring period. Two examples are given below for description.

method one

As shown in Figure 3 or 4, the amplitude-integrated EEG 1 and the vital information display area m are simultaneously displayed, and the currently determined EEG parameter waveform 3 of the third monitoring period is displayed in the vital information display area m. The third monitoring period is from 17:00 to 17:15. The vital information display area m may be a fixed area divided in advance in addition to the amplitude-integrated electroencephalogram 1 on the display 40 . In some embodiments, when the user does not select a reference time point or a reference time period on the amplitude-integrated electroencephalogram 1, the vital information display area m may display various real-time monitoring data of the current patient's monitoring parameters (which may include the first First monitoring data and/or second monitoring data), or the real-time EEG parameter waveform 3, etc. can also be displayed, so as to provide medical staff with more patient information.

Method 2

As shown in Figure 5, the monitoring system responds to the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG 1, and pops up a display sub-window n that further displays the EEG parameter waveform 3. For example, when the user uses a mouse This display sub-window n will pop up when you click on a certain position on the Amplitude Integrated EEG 1. The display sub-window n is at least partially superimposed on the amplitude-integrated EEG 1 or displayed independently of the amplitude-integrated EEG 1 . Partial overlay means that the display sub-window n can block a part of the blank area of the amplitude-integrated EEG 1 in the form of a floating window, or, in Figure 5, block a part of the amplitude that is far away from the selected reference time point or reference time period. Integrate EEG 1 (does not affect the alignment of amplitude-integrated EEG 1 and EEG parameter waveform 3). There are more ways to display independently of each other, including but not limited to displaying sub-window n and amplitude-integrated EEG 1 side-by-side, for example, displaying sub-window n and amplitude-integrated EEG 1 at least one border is adjacent to each other and both Side by side up and down or left and right; display sub-window n and amplitude-integrated EEG 1 displayed in different regions, such as the boundaries of the two are not adjacent or the two are separated; display sub-window n and amplitude-integrated EEG 1 in response to user selections Alternately hovering display, for example, when the user moves the mouse to the amplitude-integrated EEG 1, the amplitude-integrated EEG 1 is suspended above the display sub-window n and covers a part of the display sub-window n, and when the user moves the cursor to When displaying the EEG parameter waveform 3 in the sub-window n, the display sub-window n is suspended on the amplitude-integrated EEG 1 and blocks a part of the amplitude-integrated EEG 1, which can reduce the amplitude of the integrated EEG 1 and the amplitude-integrated EEG 1. The area occupied by the sub-window n is displayed, and the information to be viewed by the user can be highlighted at the same time.

On the basis of referring to the EEG parameter waveform 3 of the third monitoring period, the waveform diagrams of other monitoring parameters in the fourth monitoring period may be further displayed. Similar to the third monitoring period, the fourth monitoring period can be determined based on the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG 1. Double-click or hover for a long time, etc.) the coordinates on the time axis of the amplitude-integrated EEG 1 or a certain position of the amplitude-integrated EEG 1 to select the reference time point. Then, a fourth monitoring period is determined based on the selected reference time point, and the relationship between the fourth monitoring period and the selected reference time point is: the fourth monitoring period should include the selected reference time point. After the fourth monitoring period is determined, the processor 50 generates a waveform diagram of at least one other monitoring parameter according to the second monitoring data obtained in the fourth monitoring period. Hereinafter, the other monitoring parameters in the fourth monitoring period are also taken as: Heart rate and blood oxygen are used as examples to illustrate. The purpose of the blood oxygen waveform Figure 4b and the heart rate waveform Figure 4a in the fourth monitoring period is to compare with the EEG parameter waveform 3 in the third monitoring period, and jointly evaluate whether the abnormality in the amplitude integrated EEG 1 represents the patient actual condition. The time span of the waveform graph is short, but it can better reflect the changes of other monitoring parameters at the reference time point or the reference time period selected by the user, which helps the medical staff to more accurately analyze the abnormal situation of the amplitude-integrated EEG 1. Judgment, for example, the total length of the fourth monitoring period is 30s, which includes the first 15s and the last 15s of the reference time point selected by the user. It should be noted that the fourth monitoring period is obtained based on the reference time point selected by the user. , the length of the fourth monitoring period is not directly related to the length of the third monitoring period, as long as the waveforms of other monitoring parameters in the fourth monitoring period can sufficiently illustrate the changes of other monitoring parameters at the selected time point. Similar to the display mode of the EEG parameter waveform 3, the heart rate waveform 4a and the blood oxygen waveform 4b can also be displayed in a pre-divided display area, or a pop-up window can be set for display. Of course, the heart rate waveform 4a and the blood oxygen waveform 4b can be displayed together with the EEG parameter waveform 3 in the vital information display area m as shown in FIG. 4 , or, as shown in FIG. 5 , together with the EEG parameter waveform 3 And inside the display subwindow n.

In some embodiments, for the display and comparison of the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b, reference may be made to the amplitude integrated EEG 1, the heart rate trend 2a, and the blood oxygen trend 2b 3 The display comparison mode of the user is processed. Specifically, the processor 50 can generate the time axis of the heart rate waveform 4a and the blood oxygen waveform 4b according to the time axis of the EEG parameter waveform 3, so that the EEG parameter waveform 3, the heart rate waveform 4a and the blood oxygen waveform 4b The time duration represented by the unit scale on the time axis of the three is the same. Intuitively, when the medical staff observes the EEG parameter waveform 3, the heart rate waveform in Figure 4a, and the blood oxygen waveform in Figure 4b, their eyes move the same distance along their respective time axes. The changes on the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b at the same moment or time period can be observed. In addition, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b can also share a time axis, so as to facilitate the comparison of the three.

In some embodiments, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b may be displayed side by side (for example, the three are arranged up and down or left and right, etc., in this embodiment, the three are arranged up and down Example), after displaying side by side, if you connect lines at the same time on the time axis in each figure, the lines will be parallel to each other, so for medical staff, observation is more effortless, which is helpful for medical care. People put more energy into analyzing the information. In addition, the simultaneous display of the above EEG parameter waveform 3 and the waveforms of other monitoring parameters also has important clinical significance. From the point of view of the user's actual operation, the amplitude-integrated EEG 1 can be observed first, and then the The time point at which the abnormality occurred is considered as the reference time point, so that the EEG parameters and other monitoring parameters near the reference time point can be reviewed, which can help the medical staff to make a more accurate judgment on the patient's condition, and follow-up can be carried out in a targeted manner. Medication or selection of treatment modality, for example, when abnormal discharge occurs in a patient, the amplitude-integrated EEG 1, the heart rate waveform 4a, the blood oxygen waveform 4b, and the respiration rate waveform can be reviewed in the same display 40 to better It is clear whether the patient has abnormal discharge due to suffocation or suffocation due to abnormal discharge (the two cases have different treatment directions), and treat accordingly.

Also, in order to facilitate the reference and comparison of the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b, the processor 50 can control the display 40 to mark the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b respectively. Parts at the same time or within a time period. For example, it can be marked with boxes, arrows, marked lines, symbols, characters, etc., while in Figure 4 or Figure 5, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b are not only displayed side by side , and the connection line of the three respective time axes at the same time point is a vertical mark line e, which can be used as a mark to intersect with the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b respectively.

The above mark is a dynamic mark, which can change the position on the EEG parameter waveform 3 in response to the second operation instruction input by the user. When the mark position on the EEG parameter waveform 3 is changed, the heart rate waveform Fig. The positions of the markers on Figure 4b are also changed to maintain the consistency of the moments or time periods to which the markers point. For example, in FIG. 4 , the user can move the marked line e by controlling the cursor with the mouse, thereby simultaneously changing the position where the marking line e intersects with the EEG parameter waveform 3 , the heart rate waveform 4 a , and the blood oxygen waveform 4 b . Other operations on markers include, but are not limited to, gesture input instructions or manually dragging or clicking markers when the display 40 is a touch screen.

In some embodiments, the monitoring system may also jointly present the real-time EEG parameter waveform 5 and the real-time waveform graph of at least one other monitoring parameter (hereafter, blood oxygen and heart rate are taken as examples). Specifically, while acquiring the first monitoring data of the patient, the processor 50 may generate and display the real-time EEG parameter waveform 5 on the display 40, and while acquiring the monitoring data of the patient's heart rate and blood oxygen, the processor 50 may Generate and display the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b on the display 40, the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b are displayed simultaneously, and the user can observe the real-time waveform at the same moment. The changes of the EEG parameter waveform 5 and the changes of the real-time blood oxygen waveform Figure 6b and the real-time heart rate waveform Figure 6a.

As shown in Figure 6, in the process of displaying the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b at the same time, the paper feeding speed of the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b can be displayed. The paper feeding speed of the real-time EEG parameter waveform 5 is adjusted to be consistent with the paper feeding speed of the real-time EEG parameter waveform 5. For example, the paper feeding speed of the real-time EEG parameter waveform 5 is 6cm/h, which means that any point of the real-time EEG parameter waveform 5 passes one hour. The distance traveled on the display screen is 6 cm, thereby generating a real-time heart rate waveform 6a and a real-time blood oxygen waveform 6b with a paper feeding speed of 6 cm/h.

By adjusting the paper speed of the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b to be consistent with the paper speed of the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a, the real-time blood oxygen waveform 6b and the real-time EEG The parameter waveforms 5 are kept in a relatively static state, so the user can easily compare the changes of the three graphs at the same time. In other embodiments, the paper feeding speed of the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a, and the real-time blood oxygen waveform 6b may also be inconsistent. The electrical parameter waveform 5 shows the real-time heart rate waveform 6a and real-time blood oxygen waveform 6b from the current time to the current time 20s, and the paper feeding speed of the real-time heart rate waveform 6a and the paper feeding speed of the real-time blood oxygen waveform 6b are The real-time EEG parameter waveform 5 is twice as fast as the paper feed.

It can be seen from the above that the display 40 in the present application can display to the user at least: the amplitude-integrated electroencephalogram 1 of the first monitoring period, the trend graphs of other monitoring parameters in the second monitoring period, the brain data of the third monitoring period Electrical parameter waveform 3, waveforms of other monitoring parameters in the fourth monitoring period, real-time EEG parameter waveform 5 and real-time waveforms of other monitoring parameters, there are two types of combinations in terms of their combination. The amplitude of the integrated EEG 1 in the first monitoring period can be combined with the trend graph of other monitoring parameters in the second monitoring period, the EEG parameter waveform 3 in the third monitoring period, and the waveforms of other monitoring parameters in the fourth monitoring period. One is displayed at the same time for comparison. In the second type of combination, the real-time EEG parameter waveform 5 and the real-time waveforms of other monitoring parameters are displayed at the same time, and the first type of combination and the second combination can also be displayed at the same time. In addition, the time axis of the trend graph of other monitoring parameters can be generated according to the time axis of the amplitude integrated EEG 1, so that the trend graph of other monitoring parameters can be compressed to be displayed synchronously with the amplitude integrated EEG 1, which is convenient for comparison and reference. The time axis of the waveform diagram of the monitoring parameters can be generated according to the time axis of the EEG parameter waveform 3, which is also convenient for comparison and reference.

As shown in FIG. 7 , in an embodiment, the interface of the first type of combination and the second type of combination is displayed at the same time. The display interface is divided into a first display area x, a second display area y and a third display area z, and the amplitude-integrated EEG 1 of the first monitoring period overlaps the first display area x and the second display area y. Position, the trend graph of other monitoring parameters of the second monitoring period is also displayed in the first display area x, and the second display area y also includes a life information display area m, in which a third monitor is displayed in the life information display area m The EEG parameter waveform 3 of the fourth monitoring period and the waveforms of other monitoring parameters in the fourth monitoring period, and the real-time EEG parameter waveform 5 and the real-time waveforms of other monitoring parameters are displayed in the third display area z.

The embodiment shown in FIG. 7 is an example in which all information is concentrated on the display interface. In other embodiments, each image can also be popped up or hidden based on a user's operation instruction.

In some embodiments, the monitoring system further identifies and alarms abnormal EEG events according to the acquired first monitoring data and the second monitoring data, where the abnormal EEG events may include but are not limited to epilepsy, convulsions, and suspicious seizures As well as symptoms such as burst suppression in patients with abnormal EEG signals. Specifically, the processor 50 can obtain an abnormal time in the amplitude-integrated EEG 1 according to the amplitude-integrated EEG 1 , for example, the abnormal time can be a “gap” in the amplitude-integrated EEG 1 or the amplitude-integrated EEG 1 A time point when the change range in FIG. 1 rapidly increases. And because the monitoring system also obtains the second monitoring data when obtaining the first monitoring data, after obtaining the abnormal time, the processor 50 can obtain the change characteristics on the trend graph of at least one other monitoring parameter at the abnormal time. The change feature can be obtained by calculating the first-order derivative, second-order derivative and other parameters of the trend graph. If the change feature is a change in the trend graph when an abnormal EEG event occurs, then the processor 50 obtains the recognition that the abnormal EEG event occurs. result. That is to say, the processor 50 can automatically complete the preliminary judgment based on the amplitude integration EEG 1, and then go to the further confirmation steps in the trend graphs of other monitoring parameters. When the results of the preliminary judgment and further confirmation are the occurrence of abnormal EEG events , at this moment, the display 40 can be controlled to display the alarm information associated with the abnormal EEG event. For example, by displaying graphic characters (alarm strings displayed in real time in the alarm area at the top of the display interface of the display 40 ) and other alarm methods, an alarm prompt of the occurrence of an abnormal EEG event can be sent to the user.

The above monitoring system can automatically identify abnormal brain electrical events to a certain extent and output corresponding alarm information, thereby greatly reducing the workload of medical staff.

After the alarm information is displayed, the medical staff usually takes certain measures or means to treat the patient, such as drug treatment and other means. If the monitoring system only alarms when an abnormal EEG occurs, it is not enough to assist the medical staff to complete the entire process of monitoring the patient. Therefore, in some embodiments, the monitoring system may acquire the first moment representing the treatment and/or medication of the patient, and the manner of acquiring the first moment may be manually input by the user, for example, when a drug or medical device is used to treat the patient. After the treatment, the medical staff manually input the treatment or medication time, or it can be obtained by recording the status of the medical device when the monitoring system communicates with the medical device. For example, the monitoring system communicates with the syringe pump. After the pump completes the injection treatment for the user, it sends the information that the injection operation is completed to the monitoring system, and the monitoring system can take the moment of receiving the information as the first moment. After acquiring the first time, the processor 50 further acquires the alarm load in the first preset time period before the first time, and the alarm load in the second preset time period after the first time. The length of the second preset time period is the same or approximately the same, and the alarm load is used to represent the severity of the abnormal EEG event of the patient. The alarm load may include but is not limited to the number of alarms in the preset time period and/or the same type of EEG The total alarm duration corresponding to the abnormal event. For example, the number of alarms in the first 5 hours and the next 5 hours can be recorded. If the number of alarms in the last 5 hours decreases significantly, it can be proved that the treatment is effective, and The decrease in the number of alarms can further assess the effectiveness of the treatment. In some embodiments, the alarm load can be quantitatively presented in conjunction with the amplitude-integrated EEG 1 in a stress map, eg, the stress map is a statistical histogram, with each bar in the histogram representing an EEG abnormality The total alarm duration corresponding to the event, and the same type of abnormal EEG event has two corresponding bars, which are respectively used to represent the total duration of a period before the treatment time and a period after the treatment time.

By introducing the alarm load and presenting the amplitude-integrated EEG 1 and the load map together, users can intuitively understand the patient's physical condition before and after treatment or medication, so as to formulate follow-up strategies.

The acquisition time of the monitoring data of the EEG parameters in the above-mentioned embodiments and the monitoring data of other types of monitoring parameters overlaps, that is to say, there is at least a period of monitoring period to obtain the first monitoring data of the EEG parameters, and also to obtain the first monitoring data of the EEG parameters. Second monitoring data for at least one other monitoring parameter. However, in some embodiments, the acquisition time of the first monitoring data of the EEG parameters and the physiological data of some non-monitoring parameters of the physiological parameters may also be different. For example, in some embodiments, the monitoring system is in communication with the ultrasound device. Ultrasound equipment is used to obtain changes in cerebral blood flow by using ultrasonic technology, and then generate a cerebral blood flow map according to the changes, and then perform a joint comparison between the cerebral blood flow map and the amplitude integrated EEG 1 . During this process, the physiological data obtained by the ultrasound device and the first monitoring data of the EEG parameters can be obtained in time intervals.

The above monitoring system can be used in conjunction with other monitoring equipment, so as to perform overall analysis and judgment on the acquired monitoring parameters.

Please refer to Figure 8, the present invention also provides a method for displaying monitoring information, comprising the steps:

Step 100: Obtain the first monitoring data of the EEG parameters of the patient in the first monitoring period.

For example, the impedance detection method can be used to obtain the first monitoring data of the EEG parameters. The above-mentioned first monitoring period can be the default time period of the monitoring system, or can be set based on the user's input. For example, the user can input any two of the three parameters of the start time point, duration and end time point of the first monitoring period. , the determined time period can be obtained as the first monitoring period.

Step 200: Acquire second monitoring data of at least one other monitoring parameter of the patient in the second monitoring period except the EEG parameter.

In addition to EEG parameters, the types of monitoring parameters include cerebral oxygen, heart rate, respiration, non-invasive blood pressure, blood oxygen saturation, pulse, body temperature, blood sugar, invasive blood pressure, end-tidal carbon dioxide, respiratory mechanics, anesthetic gas, cardiac output, brain One or more of the electrical dual frequency index, etc., etc. In this embodiment, the monitoring parameters are mainly blood oxygen and heart rate as examples for description.

Step 300: Generate an amplitude-integrated EEG 1 of the first monitoring period according to the first monitoring data.

Step 400: Generate a trend graph of at least one other monitoring parameter in the second monitoring period according to the second monitoring data.

The above trend charts are also called transition charts, running charts, chain charts, trend charts, and so on. A trend graph can be used to reflect the relationship between one or more variables and time, that is, the trend of the one or more variables over time. For example, the trend graph may take time as the horizontal axis and the variable to be observed as the vertical axis, and observe the trend and/or deviation of the change and development of the variable. The time on the horizontal axis can be seconds, minutes, hours, days, months, years, etc., and each time point should be continuous and uninterrupted. The observed variables on the vertical axis can be absolute quantity/absolute value, average value, incidence rate, etc. In this article, the trend graph of the monitoring parameter can be used to reflect the trend of a certain monitoring parameter over time. For example, the value of the parameter value of the monitoring parameter changes continuously over time, and the parameter value can be a certain sampling value. The absolute value collected at a certain sampling rate can also be the average value in each fixed time period collected and calculated at a certain sampling rate. Therefore, for a monitoring parameter, the "variable" in the trend graph is usually the parameter value of the monitoring parameter. In addition, in the form of the trend graph, as long as it can reflect the changing trend of the monitoring parameters, the trend graph can be one of a curve graph, a histogram, a bar graph, a box plot, a scatter graph, a line graph, or a It is a combination of curve graphs, histograms, bar graphs, boxplots, scatter plots, and line graphs. In this embodiment, the trend graph of the monitoring parameters is described by taking the curve graph as an example

Step 500: Simultaneously display a trend graph of the amplitude-integrated EEG 1 and at least one other monitoring parameter.

FIG. 2 is an interface where the amplitude-integrated electroencephalogram 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b are simultaneously displayed in the first display area x. If the patient's amplitude-integrated EEG 1 is abnormal, and the abnormality occurs in the time period that coincides with the first monitoring period and the second monitoring period, the medical staff can directly observe the heart rate trend graph 2a and/or the blood oxygen trend graph 2b Changes at the corresponding moment or time period, so as to comprehensively judge the patient's condition in combination with heart rate and/or blood oxygen. For another example, when a suspected discharge pattern appears in the amplitude-integrated EEG 1, if the respiratory monitoring (RESP) is found to stop at the same time , it can be considered that the child has an apnea (AOP) event because of the presence of discharge.

In some embodiments, in order to facilitate the medical staff to quickly locate the information to be viewed, the steps further include:

Step 510 , acquiring the duration represented by the first unit scale on the first time axis of the amplitude-integrated EEG 1 . The unit scale can be the smallest grid on the time axis, or a user-defined unit scale.

Step 520: Integrate the duration represented by the first unit scale on the first time axis of the electroencephalogram 1 according to the amplitude to obtain a second time axis of the trend graph to be generated.

The purpose of this step is to adjust the time duration represented by the second unit scale of the second time axis of the trend graph to be the same as the time duration represented by the unit scale on the first time axis of the amplitude-integrated EEG 1 .

Step 530: Generate a trend diagram of at least one monitoring parameter according to the second monitoring data and the time axis of the trend diagram.

Please continue to refer to FIG. 2, which is the display interface after the second time axis of the heart rate trend chart 2a and the blood oxygen trend chart 2b are generated according to the first time axis of the amplitude integration EEG 1, in which the respective times are hidden. axis. Intuitively, when medical staff observe the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b, they can observe the amplitude-integrated brain at the same moment or time period by moving their eyes the same distance along their respective time axes. Changes on Electrogram 1, Heart Rate Trend 2a, and Blood Oxygen Trend 2b.

The amplitude-integrated EEG 1 is obtained by compressing the first monitoring data. The generation method of the heart rate trend diagram 2a and the blood oxygen trend diagram 2b is also different from the generation method of the existing trend diagram, which is equivalent to the existing trend diagram. "Compression" is carried out, and the existing trend graph traces the values of each parameter according to the set "window time", while in this application, the sampling and tracing of the monitoring parameters are automatically adjusted according to the amplitude integrated EEG 1, The above-mentioned heart rate trend graph 2a and blood oxygen trend graph 2b maintain the synchronous compression with the amplitude-integrated EEG 1. That is to say, this example not only provides a solution for combining the amplitude of the first monitoring period with the trend graph of the monitoring parameters in EEG 1 and the second monitoring period, but also provides how to organically and reasonably The two are presented together to facilitate the integration of the amplitudes of EEG 1 and the trend graph of monitoring parameters for reference and comparison.

In some embodiments, after the trend graph of monitoring parameters is also "compressed" synchronously, the amplitude integrated EEG 1, the heart rate trend graph 2a, and the blood oxygen trend graph 2b can be side-by-side in the first display area x. display (for example, the three are arranged up and down or left and right, in this embodiment, the three are arranged up and down as an example), after side-by-side display, if you connect the same moments on the time axis in each figure, then The lines will be parallel to each other, so for the medical staff, observation is less laborious, which helps the medical staff to focus more on the analysis of the information. For example, as shown in FIG. 2, the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b are displayed side by side in an embodiment (the two amplitude-integrated EEG 1 are because there are two EEGs The measurement channel is similar to the two signals measured by two sensors at the same time), in this way, the first monitoring period and the second monitoring period are exactly the same (the start time point and the end time point are the same respectively), from the user's From a perspective, the window time (the total displayed time) of the amplitude-integrated EEG 1, the heart rate trend graph 2a, and the blood oxygen trend graph 2b is the same, which is 3 hours. The amplitude-integrated EEG 1, the heart rate trend 2a, and the blood oxygen trend 2b are displayed side by side, and the three displays are compact and in line with the habit of human eyes.

Similarly, in order to facilitate the reference and comparison of the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b, the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b can also be marked at the same moment. part of the time or time period. For example, it can be marked with boxes, arrows, marked lines, symbols, texts, etc., and in Figure 2, the amplitude-integrated EEG 1, the heart rate trend chart 2a, and the blood oxygen trend chart 2b are not only displayed side by side, but also The line connecting the three respective time axes at the same time point is a vertical marker line e, which can be used as a marker to intersect with the amplitude-integrated EEG 1, the heart rate trend diagram 2a, and the blood oxygen trend diagram 2b respectively.

The above markers are dynamic markers, which can change the position on the amplitude-integrated EEG 1 in response to the first operation instruction input by the user. The position of the marker on the oxygen trend graph 2b also changes synchronously, so as to maintain the consistency of the time or time period pointed to by the marker. For example, in Figure 2, the user can move the marker line e as a marker by controlling the cursor with a mouse, thereby simultaneously changing the position where the marker line e intersects with the amplitude-integrated EEG 1, the heart rate trend graph 2a, and the blood oxygen trend graph 2b. Other operations on markers include, but are not limited to, gesture input commands or manual dragging or clicking on markers.

In addition to the trend graph of the reference monitoring parameters, the amplitude-integrated EEG 1 can also be compared with the EEG parameter waveform 3 (EEG), and the EEG parameter waveform 3 used for comparison and the amplitude-integrated EEG 1 signal Homologous, that is to say, the acquired first monitoring data of the patient is compressed to generate an amplitude-integrated EEG 1, and the first monitoring data can generate the original EEG parameter waveform 3 without compression. Specifically, please refer to FIG. 9, after step 100, it may include:

Step 200-1: Generate an amplitude-integrated EEG 1 of the first monitoring period according to the first monitoring data.

This step may be the same as step 300 .

Step 300-1, based on the selection instruction for selecting the reference time point or the reference time period input by the user for the amplitude integrated EEG 1, the third monitoring period of the reference time point or the reference time period, the third monitoring period is included in the during the first monitoring period.

Taking the user's selection of a reference time point as an example, the user can select (for example, double-click or hover for a long time) the coordinates on the time axis of the amplitude-integrated EEG 1 or a certain point of the amplitude-integrated EEG 1 through a peripheral device such as a mouse. Location Select the reference time point. Then, the third monitoring period is determined based on the selected reference time point, and the relationship between the third monitoring period and the selected reference time point is: the third monitoring period shall include the selected reference time point

For example, the length of the third monitoring period is preset as 30s. After the reference time point is selected, the system will automatically use 15s before and after the selected reference time point (30s in total) as the third monitoring period. The reference time point is selected as the start time point or the end time point of the third monitoring period. Of course, the length of the third monitoring period can be variable under the premise of satisfying and including the reference time point. The length of the third monitoring period set by the user is 10s. In order to obtain more information of the EEG parameter waveform 3 during the comparison and reference process, the length of the third monitoring period may be extended.

Step 400-1: Simultaneously display the EEG parameter waveform 3 and the amplitude integrated EEG 1 of the third monitoring period.

method one

As shown in Figure 3 or 4, the amplitude-integrated EEG 1 and the vital information display area m are simultaneously displayed, and the currently determined EEG parameter waveform 3 of the third monitoring period is displayed in the vital information display area m. The third monitoring period is from 17:00 to 17:15. The vital information display area m may be a fixed area divided in advance other than the amplitude-integrated EEG 1 . In some embodiments, when the user does not select a reference time point or a reference time period on the amplitude-integrated electroencephalogram 1, the vital information display area m may display various real-time monitoring data of the current patient's monitoring parameters (which may include the first First monitoring data and/or second monitoring data), or the real-time EEG parameter waveform 3, etc. can also be displayed, so as to provide medical staff with more patient information.

Method 2

In some embodiments, it also includes the steps of:

Step 500-1: Acquire second monitoring data of at least one other monitoring parameter of the patient in the second monitoring period except the EEG parameter.

This step can be the same as step 200 . It should be noted that there is no sequential relation between step 500-1 and step 100-1 to step 400-1.

Step 600-1: Determine a fourth monitoring period including the reference time point or reference time period selected by the user based on the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG.

The method of determining the fourth monitoring period and the method of the third monitoring period may be basically the same, and will not be repeated here. The relationship between the fourth monitoring period and the selected reference time point is: the fourth monitoring period should include the selected reference time point.

Step 700-1: Simultaneously display the EEG parameter waveform 3 and the waveform diagram of at least one monitoring parameter.

Similarly, the monitoring parameters in the fourth monitoring period are heart rate and blood oxygen as an example for description. The purpose of the blood oxygen waveform Figure 4b and the heart rate waveform Figure 4a in the fourth monitoring period is to compare with the EEG parameter waveform 3 in the third monitoring period, and jointly evaluate whether the abnormality in the amplitude integrated EEG 1 represents the patient actual condition. The time span of the waveform graph is short, but it can better reflect the changes of monitoring parameters near the reference time point or reference segment selected by the user, which helps medical staff to judge the abnormal situation of the amplitude integrated EEG 1 more accurately. For example, the total length of the fourth monitoring period is 30s, which includes the first 15s and the last 15s of the reference time point selected by the user. It should be noted that the fourth monitoring period is obtained based on the reference time point selected by the user. The length of the fourth monitoring period is not directly related to the length of the third monitoring period, as long as the waveform diagram of the monitoring parameters in the fourth monitoring period can sufficiently illustrate the changes of the monitoring parameters at the selected reference time point. Similar to the display mode of the EEG parameter waveform 3, the heart rate waveform 4a and the blood oxygen waveform 4b can also be displayed in a pre-divided display area, or a pop-up window can be set for display. Of course, the heart rate waveform 4a and the blood oxygen waveform 4b can be displayed together with the EEG parameter waveform 3 in the vital information display area m as shown in FIG. 3 or 4, or, as shown in FIG. 5, together with the EEG parameter waveform 3 together in the display sub-window n.

In some embodiments, for the display and comparison of the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b, reference may be made to the amplitude integrated EEG 1, the heart rate trend 2a, and the blood oxygen trend 2b 3 The display comparison mode of the user is processed. Specifically, the time axis of the heart rate waveform 4a and the blood oxygen waveform 4b can be generated according to the time axis of the EEG parameter waveform 3, so that the EEG parameter waveform 3, the heart rate waveform 4a and the blood oxygen waveform 4b The unit scale on the time axis represents the same length of time. Intuitively, when medical staff observe the EEG parameter waveform 3, the heart rate waveform Figure 4a, and the blood oxygen waveform Figure 4b, they can observe by moving their eyes the same distance along the three time axes. Changes on the EEG parameter waveform 3, heart rate waveform 4a, and blood oxygen waveform 4b at the same time or time period. In addition, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b can also share a time axis, so as to facilitate the comparison of the three.

In some embodiments, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b may be displayed side by side (for example, the three are arranged up and down or left and right, etc., in this embodiment, the three are arranged up and down Example), after displaying side by side, if you connect lines at the same time on the time axis in each figure, the lines will be parallel to each other, so for medical staff, observation is more effortless, which is helpful for medical care. People put more energy into analyzing the information.

Similarly, in order to facilitate the reference and comparison of the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b at the same time can be marked respectively or part of the time period. For example, it can be marked with boxes, arrows, marked lines, symbols, characters, etc., while in Figure 4 or Figure 5, the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b are not only displayed side by side , and the connection line of the three respective time axes at the same time point is a vertical mark line e, which can be used as a mark to intersect with the EEG parameter waveform 3, the heart rate waveform 4a, and the blood oxygen waveform 4b respectively.

The above mark is a dynamic mark, which can change the position on the EEG parameter waveform 3 in response to the second operation instruction input by the user. When the mark position on the EEG parameter waveform 3 is changed, the heart rate waveform Fig. The positions of the markers on Figure 4b are also changed to maintain the consistency of the moments or time periods to which the markers point. For example, in FIG. 4 , the user can move the marked line e by controlling the cursor with the mouse, thereby simultaneously changing the position where the marking line e intersects with the EEG parameter waveform 3 , the heart rate waveform 4 a , and the blood oxygen waveform 4 b . Other operations on markers include, but are not limited to, gesture input commands or manual dragging or clicking on markers.

In some embodiments, as shown in FIG. 10 , after step 100 and step 200, it may further include:

Step 300-2, generating a real-time EEG parameter waveform 5 according to the first monitoring data of the EEG parameter.

Step 400-2: Generate a real-time waveform diagram of at least one other monitoring parameter according to the second monitoring data.

Step 500-2: Simultaneously display the real-time EEG parameter waveform 5 and the real-time waveforms of other monitoring parameters.

Take the monitoring parameters as heart rate and blood oxygen as an example. The user can observe the changes of the real-time EEG parameter waveform 5 and the changes of the real-time blood oxygen waveform 6b and the real-time heart rate waveform 6a at the same time.

As shown in FIG. 6 , in the process of displaying the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b at the same time, the paper feeding speed of the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b can be displayed. The paper feeding speed of the real-time EEG parameter waveform 5 is adjusted to be consistent with the paper feeding speed of the real-time EEG parameter waveform 5. For example, the paper feeding speed of the real-time EEG parameter waveform 5 is 6cm/h, which means that any point of the real-time EEG parameter waveform 5 passes one hour. The distance traveled on the display screen is 6 cm, thereby generating a real-time heart rate waveform 6a and a real-time blood oxygen waveform 6b with a paper feeding speed of 6 cm/h.

By adjusting the paper speed of the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b to be consistent with the paper speed of the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a, the real-time blood oxygen waveform 6b and the real-time EEG The parameter waveforms 5 are kept in a relatively static state, so the user can easily compare the changes of the three graphs at the same time. In other embodiments, the paper feeding speed of the real-time EEG parameter waveform 5, the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b may also be inconsistent. For example, the real-time EEG parameter waveform from the current time to 10s before the current time is displayed. 5. Display the real-time heart rate waveform Figure 6a and real-time blood oxygen waveform Figure 6b from the current time to the current time 20s, and the real-time heart rate waveform Figure 6a and the real-time blood oxygen waveform Figure 6b The paper feeding speed is the real-time EEG Twice the paper feed speed of parameter waveform 5.

As can be seen from the above, what can be displayed to the user may at least include: the amplitude-integrated EEG 1 in the first monitoring period, the trend graph of the monitoring parameters in the second monitoring period, the EEG parameter waveform in the third monitoring period 3, the The waveforms of monitoring parameters, real-time EEG parameter waveforms 5 and real-time waveforms of monitoring parameters in the four monitoring periods can be combined in two categories. The electrogram 1 can be simultaneously displayed for comparison with at least one of the trend graph of the monitoring parameters in the second monitoring period, the EEG parameter waveform 3 in the third monitoring period, and the waveform graph of the monitoring parameters in the fourth monitoring period. In the type combination, the real-time EEG parameter waveform 5 and the real-time waveform of monitoring parameters are displayed at the same time, and the first type combination and the second combination can also be displayed at the same time. In addition, the time axis of the trend graph of the monitoring parameters can be generated according to the time axis of the amplitude integrated EEG 1, so that the trend graph of the monitoring parameters can be compressed to be displayed synchronously with the amplitude integrated EEG 1, which is convenient for comparison and reference. The time axis of the waveform graph can be generated according to the time axis of the EEG parameter waveform 3, which is also convenient for comparison and reference.

As shown in FIG. 7 , in an embodiment, the interface of the first type of combination and the second type of combination is displayed at the same time. The display interface is divided into a first display area x, a second display area y and a third display area z, and the amplitude-integrated EEG 1 of the first monitoring period overlaps the first display area x and the second display area y. position, the trend graph of the monitoring parameters of the second monitoring period is also displayed in the first display area x, and the second display area y also includes a life information display area m, and a third monitoring period is displayed in the life information display area m The EEG parameter waveform 3 and the real-time waveform diagram of the monitoring parameters in the fourth monitoring period, while the third display area z displays the real-time EEG parameter waveform 5 and the real-time waveform diagram of the monitoring parameters.

In some embodiments, as shown in FIG. 11 , after step 400, it further includes:

Step 500 - 3 , acquiring the abnormal time of the amplitude integrated EEG 1 .

For example, the abnormal time may be the time when a "gap" appears in the amplitude-integrated EEG 1 or the change in the amplitude-integrated EEG 1 rapidly increases.

Step 600-3: Obtain the change feature on the trend graph of at least one other monitoring parameter at the abnormal moment. The change feature can be obtained by calculating the parameters such as the first derivative and the second derivative of the trend graph.

Step 700-3: Determine whether an abnormal EEG event occurs according to the change characteristics of the trend graph of at least one other monitoring parameter. If an abnormal EEG event occurs, go to step 800-3, otherwise, continue to step 500-3.

If there is a corresponding change in the trend graph of the monitoring parameters at the abnormal moment of the amplitude integration EEG 1, it can be determined that an abnormal EEG event has occurred.

Step 800-3: Display alarm information associated with abnormal EEG events.

The above method can automatically identify abnormal brain electrical events and output corresponding alarm information to a certain extent, thereby greatly reducing the workload of medical staff.

After the alarm information is output, the medical staff usually takes certain measures or means to treat the patient, such as drug treatment. If the monitoring system only alarms when an abnormal EEG occurs, it is not enough to assist the medical staff to complete the entire process of monitoring the patient. Therefore, in some embodiments, as shown in FIG. 11 , it also includes:

Step 900-3: Obtain the first moment used to characterize the treatment and/or medication of the patient.

The acquisition method of the first moment can be manually input by the user. For example, after the patient is treated with drugs or medical equipment, the medical staff manually input the treatment or medication time, or the monitoring system can communicate with the medical equipment. It is obtained by recording the status of the medical device. For example, the monitoring system is connected to the syringe pump. When the syringe pump completes the injection treatment for the user, it sends the information of the completion of the injection operation to the monitoring system, and the monitoring system can receive this information. The moment of information is taken as the first moment.

Step 1000-3: Acquire the alarm load within the first preset time period before the first moment.

Step 1100-3: Acquire the alarm load within the second preset time period after the first moment.

The length of the first preset time period and the second preset time period are the same or approximately the same, and the alarm load is used to represent the severity of the abnormal EEG event of the patient. The alarm load may include but is not limited to the number of alarms in the preset time period. and/or the total alarm duration corresponding to the same type of abnormal EEG events.

Step 1200-3: Compare the alarm loads in the first preset time period and the second preset time period to obtain comparison information for characterizing the treatment effect.

Taking the alarm load as the number of alarms as an example, the number of alarms in the first 5 hours and the next 5 hours can be recorded. If the number of alarms in the last 5 hours decreases significantly, it can be proved that the treatment is effective, and the alarm The degree of decrease in the number of times can further assess the effectiveness of the treatment.

Step 1300-3, output the comparison information to feedback the treatment effect.

Alignment information can be presented in the form of text, pictures, tables or videos. In some embodiments, the alarm load can be quantitatively presented in conjunction with the amplitude-integrated EEG 1 in a stress map, eg, the stress map is a statistical histogram, with each bar in the histogram representing an EEG abnormality The total alarm duration corresponding to the event, and the same type of abnormal EEG event has two corresponding bars, which are respectively used to represent the total duration of a period before the treatment time and a period after the treatment time. The user can intuitively see the change of alarm load before and after treatment through the load graph.

The above embodiments can simultaneously display at least one of the amplitude integrated EEG and the trend graph of the monitoring parameters, the EEG near the time point or time period to be viewed, and the waveform graph of the monitoring parameters, so that the patient's brain can be more accurately judged. In addition, it can also automatically alarm and identify abnormal EEG events, which can well assist the user's clinical work. Further, the monitoring system can also be used in conjunction with other equipment to provide more clinical evaluation directions. For example, the physiological data of at least one other physiological parameter of the patient other than the monitoring parameter can also be obtained. For example, the physiological data of the physiological parameter of the patient can be obtained by using an ultrasound device, and then a trend graph can be generated according to the physiological data, and finally the amplitude can be integrated. EEG 1 and trend graph are displayed simultaneously. During this process, the physiological data obtained by the ultrasound device and the first monitoring data of the EEG parameters can be obtained in time intervals.

Those skilled in the art can understand that all or part of the functions of the various methods in the foregoing embodiments may be implemented by means of hardware or by means of computer programs. When all or part of the functions in the above embodiments are implemented by means of a computer program, the program may be stored in a computer-readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc. The computer executes the program to realize the above-mentioned functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above functions can be realized. In addition, when all or part of the functions in the above-mentioned embodiments are realized by means of a computer program, the program can also be stored in a server, another computer, a magnetic disk, an optical disk, a flash disk or a mobile hard disk and other storage media, and saved by downloading or copying All or part of the functions in the above embodiments can be implemented when the program in the memory is executed by the processor.

The above specific examples are used to illustrate the present invention, which are only used to help understand the present invention, and are not intended to limit the present invention. For those skilled in the art, according to the idea of the present invention, the above-mentioned specific embodiments can be changed.

Claims

A monitoring system, characterized in that it includes:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters during the first monitoring period, and obtain the second monitoring data of the patient's at least one other monitoring parameter except the EEG parameter during the second monitoring period, the first monitoring period and the second monitoring period at least partially overlaps;

generating an amplitude-integrated EEG of the first monitoring period according to the first monitoring data, and generating a trend graph of the at least one other monitoring parameter according to the second monitoring data;

The display is controlled to simultaneously display the amplitude-integrated electroencephalogram and the trend graph.
The monitoring system according to claim 1, wherein the generating a trend graph of the at least one other monitoring parameter according to the second monitoring data comprises:

obtaining, by the processor, the duration represented by the first unit scale on the first time axis of the amplitude-integrated EEG;

The processor determines a second time axis of the trend graph to be generated according to the duration represented by the first unit scale on the first time axis of the amplitude-integrated electroencephalogram, wherein the trend The duration represented by the second unit scale on the second time axis of the graph is the same as the duration represented by the first unit scale on the first time axis of the amplitude-integrated EEG;

The processor generates a trend diagram of the at least one other monitoring parameter according to the second monitoring data and the second time axis of the trend diagram.
The monitoring system of claim 1 or 2, wherein the processor is further configured to:

controlling the display to respectively mark the amplitude-integrated EEG and the part of the trend graph at the same time or within a time period;

When the first operation instruction input by the user is received, the display is controlled to synchronously change the position of the mark on the amplitude integrated EEG and the position of the mark on the trend graph.
The monitoring system of claim 1, wherein the processor is further configured to:

Based on the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG, a third monitoring period including the reference time point or reference time period selected by the user is determined, and the third monitoring period period is included in said first monitoring period;

generating an EEG parameter waveform of the third monitoring period according to the first monitoring data corresponding to the third monitoring period;

Controlling the display to display the EEG parameter waveform of the third monitoring period.
The monitoring system according to claim 4, wherein the controlling the display to display the EEG parameter waveform of the third monitoring period comprises:

The processor controls the display to simultaneously display the amplitude-integrated EEG and the physiological information display area, and displays the EEG parameter waveform of the third monitoring period in the physiological information display area; or

In response to the selection instruction input by the user, the processor controls a display sub-window for further displaying the EEG parameter waveform to pop up on the display, and the display sub-window is at least partially superimposed on the amplitude-integrated EEG, Or integrated EEG with the amplitude displayed independently of each other.
The monitoring system of claim 4 or 5, wherein the processor is further configured to:

Based on the selection instruction input by the user, determining a fourth monitoring period including the reference time point or reference time period, the fourth monitoring period being included in the second monitoring period;

generating a waveform diagram of the at least one other monitoring parameter according to the second monitoring data corresponding to the fourth monitoring period;

The display is controlled to simultaneously display the waveform of the brain electrical parameter and the waveform of the at least one physiological parameter.
The monitoring system according to claim 6, wherein generating the waveform diagram of the at least one other monitoring parameter according to the second monitoring data corresponding to the fourth monitoring period, comprises:

obtaining, by the processor, the duration represented by the third unit scale on the third time axis of the EEG parameter waveform;

The processor determines the fourth time axis of the waveform graph to be generated according to the duration represented by the third unit scale on the third time axis of the EEG parameter waveform, wherein the fourth time axis of the waveform graph The duration represented by the fourth unit scale on the axis is the same as the duration represented by the third unit scale on the third time axis of the EEG parameter waveform;

The waveform graph is generated according to the second monitoring data corresponding to the fourth monitoring period and the fourth time axis of the waveform graph.
The monitoring system of claim 6, wherein the processor is further configured to:

controlling the display to respectively mark the EEG parameter waveform and the part of the waveform graph at the same moment or within a time period;

When the second operation instruction input by the user is received, the display is controlled to synchronously change the position of the waveform mark of the EEG parameter and the position of the waveform mark.
The monitoring system of claim 1, wherein the processor is further configured to:

acquiring the abnormal moment of the amplitude-integrated electroencephalogram;

acquiring the change characteristics on the trend graph at the abnormal moment;

According to the change characteristics on the trend graph, determine whether an abnormal EEG event occurs;

If an abnormal EEG event occurs, the display is controlled to display alarm information associated with the abnormal EEG event.
The monitoring system according to claim 9, wherein after displaying the alarm information, the processor is further configured to:

obtaining the first moment used to characterize the treatment and/or medication of the patient;

acquiring the alarm load within the first preset time period before the first moment;

acquiring the alarm load within a second preset time period after the first moment;

The alarm load is the number of alarms corresponding to the same type of abnormal EEG events and/or the total alarm duration corresponding to the same type of abnormal EEG events;

Comparing the alarm loads in the first preset time period and the second preset time period to obtain comparison information used to characterize the treatment effect;

The comparison information is output to feedback the treatment effect.
The monitoring system according to claim 1, wherein the trend diagram of the at least one other monitoring parameter comprises a trend diagram of heart rate, a trend diagram of pulse rate, a trend diagram of blood oxygen, a trend diagram of non-invasive blood pressure, a trend diagram of Trend chart of invasive blood pressure, trend chart of respiration, trend chart of body temperature, trend chart of cardiac output per stroke, trend chart of cardiac output, ST segment of ECG, QT interval of ECG, trend chart of blood glucose, trend of cerebral oxygen At least one of a graph, a trend graph of urine output.
A monitoring system, characterized in that it includes:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters in the first monitoring period;

generating an amplitude-integrated EEG of the first monitoring period according to the first monitoring data;

controlling the display to display the amplitude-integrated EEG;

Based on the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG, a third monitoring period including the reference time point or reference time period selected by the user is determined, and the third monitoring period period is included in said first monitoring period;

generating an EEG parameter waveform of the third monitoring period according to the first monitoring data corresponding to the third monitoring period;

The display is controlled to display the EEG parameter waveform while displaying the amplitude-integrated EEG.
The monitoring system according to claim 12, wherein the controlling the display to display the EEG parameter waveform of the third monitoring period comprises:

The processor controls the display to simultaneously display the amplitude-integrated EEG and the physiological information display area, and displays the EEG parameter waveform of the third monitoring period in the physiological information display area; or

In response to the selection instruction input by the user, the processor controls a display sub-window for further displaying the EEG parameter waveform to pop up on the display, and the display sub-window is at least partially superimposed on the amplitude-integrated EEG, Or integrated EEG with the amplitude displayed independently of each other.
The monitoring system of claim 12 or 13, wherein the processor is further configured to:

Acquiring the second monitoring data of at least one other monitoring parameter of the patient in addition to the EEG parameter;

determining a fourth monitoring period including the reference time point or reference time period based on the selection instruction input by the user;

generating a waveform diagram of the at least one other monitoring parameter according to the second monitoring data corresponding to the fourth monitoring period;

The display is controlled to simultaneously display the EEG parameter waveform and the waveform diagram.
The monitoring system according to claim 14, wherein the generating a waveform diagram of the at least one other monitoring parameter according to the second monitoring data corresponding to the fourth monitoring period, comprising:

obtaining, by the processor, the duration represented by the third unit scale on the third time axis of the EEG parameter waveform;

The processor determines the fourth time axis of the waveform graph to be generated according to the duration represented by the third unit scale on the third time axis of the EEG parameter waveform, wherein the fourth time axis of the waveform graph The duration represented by the fourth unit scale on the axis is the same as the duration represented by the third unit scale on the third time axis of the EEG parameter waveform;

The waveform graph is generated according to the second monitoring data corresponding to the fourth monitoring period and the time axis of the waveform graph.
The monitoring system of claim 14, wherein the processor is further configured to:

controlling the display to respectively mark the EEG parameter waveform and the part of the waveform graph at the same moment or within a time period;

When the second operation instruction input by the user is received, the display is controlled to synchronously change the position of the waveform mark of the EEG parameter and the position of the waveform mark.
A monitoring system, characterized in that it includes:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters;

obtaining an amplitude-integrated electroencephalogram according to the first monitoring data;

acquiring the abnormal moment of the amplitude-integrated electroencephalogram;

Acquiring the second monitoring data of at least one other monitoring parameter of the patient in addition to the EEG parameter;

generating a trend graph of the at least one other monitoring parameter according to the second monitoring data;

acquiring the change characteristics on the trend graph at the abnormal moment;

According to the change characteristics on the trend graph, determine whether an abnormal EEG event occurs;

If an abnormal EEG event occurs, the display is controlled to display alarm information associated with the abnormal EEG event.
The monitoring system according to claim 17, wherein after displaying the alarm information, the processor is further configured to:

obtaining the first moment used to characterize the treatment and/or medication of the patient;

acquiring the alarm load within the first preset time period before the first moment;

acquiring the alarm load within a second preset time period after the first moment;

The alarm load is the number of alarms corresponding to the same type of abnormal EEG events and/or the total alarm duration corresponding to the same type of abnormal EEG events;

Comparing the alarm loads in the first preset time period and the second preset time period to obtain comparison information used to characterize the treatment effect;

The comparison information is output to feedback the treatment effect.
18. The monitoring system of claim 17, wherein the abnormal EEG event comprises at least one of epilepsy, convulsions, suspected convulsions, and burst suppression.
A monitoring system, characterized in that it includes:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters;

generating an amplitude-integrated electroencephalogram according to the first monitoring data;

acquiring physiological data of at least one other physiological parameter of the patient in addition to the monitoring parameter, the monitoring parameter including the EEG parameter;

generating a trend graph of at least one other physiological parameter according to the physiological data;

The display is controlled to simultaneously display the amplitude-integrated electroencephalogram and the trend graph.
The monitoring system according to claim 20, wherein the at least one other physiological parameter other than the monitoring parameter includes at least a cerebral blood flow parameter obtained by an ultrasound device.
A monitoring system, characterized in that, comprising:

monitor;

processor for:

Obtain the first monitoring data of the patient's EEG parameters;

Obtain real-time EEG parameter waveforms according to the first monitoring data;

Acquiring the second monitoring data of at least one other monitoring parameter of the patient in addition to the EEG parameter;

generating a real-time waveform diagram of at least one other monitoring parameter according to the second monitoring data;

The display is controlled to simultaneously display the real-time EEG parameter waveform and the real-time waveform graph.
The monitoring system of claim 22, wherein, according to the second monitoring data, a real-time waveform diagram of at least one other monitoring parameter is generated, comprising:

Acquiring the paper-feeding speed of the real-time EEG parameter waveform, and the paper-feeding speed is used to characterize the moving speed of the real-time EEG parameter waveform;

Taking the paper-feeding speed of the real-time EEG parameter waveform as the paper-feeding speed of the real-time waveform to be generated;

The real-time waveform graph is generated according to the second monitoring data and the paper feeding speed of the real-time waveform graph.
The monitoring system according to any one of claims 1 to 23, further comprising a collection device, wherein the collection device is used to collect the first monitoring data of the EEG parameters of the patient and at least one of the EEG parameters other than the EEG parameters. The second monitoring data of other monitoring parameters.
The monitoring system according to claim 24, wherein the acquisition device is a signal sensor or a communication module for acquiring data from a remote device.
The monitoring system according to any one of claims 1 to 23, wherein the monitoring system comprises at least one of a monitor, a local central station, a remote central station, a cloud service system, and a mobile terminal.
The monitoring system according to any one of claims 1 to 23, wherein the at least one monitoring parameter other than the EEG parameter includes a heart rate parameter, a blood oxygen parameter, a pulse parameter, a body temperature parameter, a brain oxygen parameter, and a blood glucose parameter , at least one of the blood pressure parameters.
A method for displaying monitoring information, comprising:

Obtain the first monitoring data of the patient's EEG parameters in the first monitoring period;

Acquiring second monitoring data of at least one other monitoring parameter except the EEG parameter of the patient during the second monitoring period, the first monitoring period and the second monitoring period at least partially overlapping;

generating an amplitude-integrated EEG of the first monitoring period according to the first monitoring data;

generating a trend graph of the at least one other monitoring parameter according to the second monitoring data;

The amplitude-integrated EEG and the trend graph are displayed simultaneously.
A method for displaying monitoring information, comprising:

Obtain the first monitoring data of the patient's EEG parameters in the first monitoring period;

generating an amplitude-integrated EEG of the first monitoring period according to the first monitoring data;

displaying the amplitude-integrated EEG;

Based on the user's selection instruction for selecting a reference time point or a reference time period input for the amplitude integrated EEG, a third monitoring period including the reference time point or reference time period selected by the user is determined, and the third monitoring period is determined. period is included in said first monitoring period;

generating an EEG parameter waveform of the third monitoring period according to the first monitoring data corresponding to the third monitoring period;

The EEG parameter waveform is displayed at the same time as the amplitude-integrated EEG is displayed.
An alarm method for abnormal electroencephalogram, characterized by comprising:

Obtain the first monitoring data of the patient's EEG parameters;

obtaining an amplitude-integrated electroencephalogram according to the first monitoring data;

acquiring the abnormal moment of the amplitude-integrated electroencephalogram;

Acquiring the second monitoring data of at least one other monitoring parameter of the patient in addition to the EEG parameter;

generating a trend graph of the at least one other monitoring parameter according to the second monitoring data;

acquiring the change characteristics on the trend graph at the abnormal moment;

According to the change characteristics on the trend graph, determine whether an abnormal EEG event occurs;

If an abnormal EEG event occurs, alarm information associated with the abnormal EEG event is displayed.
A method for displaying monitoring information, comprising:

Obtain the first monitoring data of the patient's EEG parameters;

generating an amplitude-integrated electroencephalogram according to the first monitoring data;

acquiring physiological data of at least one other physiological parameter of the patient in addition to the monitoring parameter, the monitoring parameter including the EEG parameter;

generating a trend graph of at least one other physiological parameter according to the physiological data;

The amplitude-integrated EEG and the trend graph are displayed simultaneously.
A method for displaying monitoring information, comprising:

Obtain the first monitoring data of the patient's EEG parameters;

Obtain real-time EEG parameter waveforms according to the first monitoring data;

Acquiring the second monitoring data of at least one other monitoring parameter of the patient in addition to the EEG parameter;

generating a real-time waveform diagram of at least one other monitoring parameter according to the second monitoring data;

Simultaneously display the real-time EEG parameter waveform and the real-time waveform graph.
A monitoring system, characterized in that it includes:

memory for storing programs;

A processor for implementing the method of any one of claims 28-32 by executing a program stored in the memory.
A computer-readable storage medium, characterized in that a program is stored on the medium, and the program can be executed by a processor to implement the method according to any one of claims 28-32.