WO2022135605A1 - Procédé d'affichage d'informations de surveillance, procédé d'alarme sur anomalie d'électroencéphalogramme, et système de surveillance - Google Patents

Procédé d'affichage d'informations de surveillance, procédé d'alarme sur anomalie d'électroencéphalogramme, et système de surveillance Download PDF

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WO2022135605A1
WO2022135605A1 PCT/CN2021/141764 CN2021141764W WO2022135605A1 WO 2022135605 A1 WO2022135605 A1 WO 2022135605A1 CN 2021141764 W CN2021141764 W CN 2021141764W WO 2022135605 A1 WO2022135605 A1 WO 2022135605A1
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Prior art keywords
monitoring
eeg
parameter
waveform
period
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PCT/CN2021/141764
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English (en)
Chinese (zh)
Inventor
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
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Priority to CN202180085472.XA priority Critical patent/CN116669630A/zh
Publication of WO2022135605A1 publication Critical patent/WO2022135605A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]

Definitions

  • 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.
  • the monitoring process of EEG by monitoring system 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 is obtained by compressing electroencephalogram (EEG), which can quickly present historical (eg, one-day) EEG signal changes.
  • an abnormality such as a gap
  • 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.
  • 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.
  • an embodiment provides a monitoring system, comprising:
  • processor for:
  • 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;
  • the display is controlled to simultaneously display the amplitude-integrated electroencephalogram and the trend graph.
  • an embodiment provides a monitoring system, comprising:
  • processor for:
  • 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;
  • the display is controlled to display the EEG parameter waveform while displaying the amplitude-integrated EEG.
  • an embodiment provides a monitoring system, comprising:
  • processor for:
  • the display is controlled to display alarm information associated with the abnormal EEG event.
  • an embodiment provides a monitoring system, comprising:
  • processor for:
  • the monitoring parameter including the EEG parameter
  • the display is controlled to simultaneously display the amplitude-integrated electroencephalogram and the trend graph.
  • an embodiment provides a monitoring system, comprising:
  • processor for:
  • the display is controlled to simultaneously display the real-time EEG parameter waveform and the real-time waveform graph.
  • an embodiment provides a method for displaying monitoring information, including:
  • the amplitude-integrated EEG and the trend graph are displayed simultaneously.
  • an embodiment provides a method for displaying monitoring information, including:
  • 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;
  • the EEG parameter waveform is displayed at the same time as the amplitude-integrated EEG is displayed.
  • an embodiment provides an alarm method for abnormal electroencephalogram, including:
  • alarm information associated with the abnormal EEG event is displayed.
  • an embodiment provides a method for displaying monitoring information, including:
  • the monitoring parameter including the EEG parameter
  • the amplitude-integrated EEG and the trend graph are displayed simultaneously.
  • an embodiment provides a method for displaying monitoring information, including:
  • an embodiment provides a monitoring system, comprising:
  • 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.
  • 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.
  • 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.
  • FIG. 1 is a schematic diagram of the composition and structure of a monitoring system according to an embodiment
  • FIG. 2 is a schematic diagram of a display interface of monitoring information according to the first embodiment
  • FIG. 3 is a schematic diagram of a display interface of monitoring information according to the second embodiment
  • FIG. 4 is a schematic diagram of a display interface of monitoring information according to a third embodiment
  • FIG. 5 is a schematic diagram of a display interface of monitoring information according to a fourth embodiment
  • FIG. 6 is a schematic diagram of a display interface of monitoring information according to a fifth embodiment
  • FIG. 7 is a schematic diagram of a display interface of monitoring information according to the sixth embodiment.
  • FIG. 8 is a flowchart of a method for displaying monitoring information according to an embodiment
  • FIG. 9 is a flowchart of a method for displaying monitoring information according to another embodiment.
  • FIG. 10 is a flowchart of a method for displaying monitoring information according to another embodiment
  • FIG. 11 is a flowchart of an embodiment of an alarm identification method based on monitoring information
  • 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.
  • 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.
  • 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. .
  • a user usually an operator
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • SRAM static random access memory
  • EEPROM Electrically Erasable Programmable Read-Only Memory
  • EPROM Erasable Programmable Read-Only Memory
  • PROM Programmable Read-Only Memory
  • ROM Read-Only Memory
  • 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.
  • aEEG amplitude integrated electroencephalography 1
  • 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.
  • 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.
  • 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.
  • the trend graph of monitoring parameters other than EEG parameters can be used to reflect the trend of a monitoring parameter over time.
  • 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.
  • the trend graph in the form of the trend graph, as long as it can reflect the changing trend of the monitoring parameters, 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.
  • 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.
  • 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.
  • 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.
  • the respiratory monitoring RSP
  • AOP apnea
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • heart rate trend 2a and blood oxygen trend 2b 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.
  • 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
  • EEG EEG parameter waveform 3
  • 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 .
  • 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.
  • 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.
  • 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.
  • the length of the third monitoring period may be extended.
  • 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.
  • 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.
  • EEG EEG parameter waveform 3
  • 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 .
  • 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.
  • 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).
  • 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 E
  • 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.
  • the processor 50 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the medical staff 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.
  • 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.
  • 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.
  • the simultaneous display of the above EEG parameter waveform 3 and the waveforms of other monitoring parameters also has important clinical significance.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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 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.
  • 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.
  • the paper speed of the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the trend graph of other monitoring parameters of the second monitoring period is also displayed in the first display area x
  • 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.
  • each image can also be popped up or hidden based on a user's operation instruction.
  • 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.
  • 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.
  • 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.
  • 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.
  • the 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.
  • the 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.
  • the processor 50 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.
  • 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 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.
  • 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.
  • 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 .
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the monitoring parameters are mainly blood oxygen and heart rate as examples for description.
  • 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.
  • 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.
  • 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.
  • 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.
  • the trend graph of the monitoring parameter can be used to reflect the trend of a certain monitoring parameter over time.
  • the value of the parameter value of the monitoring parameter changes continuously over time
  • 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.
  • the trend graph 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.
  • 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.
  • 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.
  • FIG. 2 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • heart rate trend 2a and blood oxygen trend 2b 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.
  • 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.
  • EEG EEG parameter waveform 3
  • the first monitoring data can generate the original EEG parameter waveform 3 without compression.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • EEG EEG parameter waveform 3
  • 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 .
  • 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.
  • 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).
  • 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 E
  • 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.
  • step 500-1 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the heart rate waveform 4a, and the blood oxygen waveform 4b 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.
  • 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.
  • EEG parameter waveform 3 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the paper speed of the real-time heart rate waveform 6a and the real-time blood oxygen waveform 6b 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.
  • 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 real-time EEG parameter waveform from the current time to 10s before the current time is displayed. 5.
  • the paper feeding speed is the real-time EEG Twice the paper feed speed of parameter waveform 5.
  • 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.
  • 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.
  • 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.
  • 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.
  • the trend graph of the monitoring parameters of the second monitoring period is also displayed in the first display area x
  • the second display area y also includes a life information display area m
  • a third monitoring period is displayed in the life information display area m
  • each image can also be popped up or hidden based on a user's operation instruction.
  • step 400 further includes:
  • Step 500 - 3 acquiring the abnormal time of the amplitude integrated EEG 1 .
  • 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.
  • 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.
  • the 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the monitoring system can also be used in conjunction with other equipment to provide more clinical evaluation directions.
  • the physiological data of at least one other physiological parameter of the patient other than the monitoring parameter can also be obtained.
  • 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.
  • 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.

Abstract

Système de surveillance, procédé d'alarme sur anomalie d'électroencéphalogramme et procédé d'affichage d'informations de surveillance. Le système de surveillance comprend un affichage (40) et un processeur (50), le processeur (50) étant utilisé pour acquérir de premières données de surveillance d'un paramètre d'électroencéphalogramme d'un patient dans une première période de surveillance, et pour acquérir de secondes données de surveillance d'au moins un autre paramètre de surveillance autre que le paramètre d'électroencéphalogramme du patient dans une seconde période de surveillance, la première période de surveillance et la seconde période de surveillance se chevauchant au moins partiellement ; générer, en fonction des premières données de surveillance, un électroencéphalogramme à amplitude intégrée (1) de la première période de surveillance, et générer, en fonction des secondes données de surveillance, d' diagramme de tendance dudit autre paramètre de surveillance ; et commander à l'affichage (40) d'afficher l'électroencéphalogramme à amplitude intégrée (1) et le diagramme de tendance simultanément. Dans le système de surveillance, un utilisateur peut comparer plus précisément l'électroencéphalogramme à amplitude intégrée (1) au diagramme de tendance de l'autre paramètre de surveillance, ce qui permet ainsi d'améliorer la précision de l'évaluation de santé du patient.
PCT/CN2021/141764 2020-12-25 2021-12-27 Procédé d'affichage d'informations de surveillance, procédé d'alarme sur anomalie d'électroencéphalogramme, et système de surveillance WO2022135605A1 (fr)

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