阅读说明：本技术 脑电双频谱监测信号采集装置和系统 (Electroencephalogram dual-spectrum monitoring signal acquisition device and system ) 是由 彭丹 曹蓉 房金妮 于 2020-12-29 设计创作，主要内容包括：本发明公开一种脑电双频谱监测信号采集装置和系统,其中,一种脑电双频谱监测信号采集装置,应用于目标对象的麻醉监测,所述脑电双频谱监测信号采集装置包括：第一传感器,用于采集所述目标对象的第一指定区域的第一电信号；第二传感器,用于采集所述目标对象的第二指定区域的第二电信号；控制器,若在所述第一电信号对应的额肌电特征值超过设定阈值的情况下,所述控制器生成第一控制信号；第一数据处理器：基于所述第一控制信号,所述第一数据处理器从所述第二电信号中分离出第一脑电信号；并基于所述第一脑电信号,获取所述第一脑电信号对应的第一麻醉特征指数。本发明技术方案麻醉特征数据不准确的技术问题。(The invention discloses an electroencephalogram dual-spectrum monitoring signal acquisition device and a system, wherein the electroencephalogram dual-spectrum monitoring signal acquisition device is applied to anesthesia monitoring of a target object and comprises the following components: the first sensor is used for acquiring a first electric signal of a first designated area of the target object; a second sensor for acquiring a second electrical signal of a second designated area of the target object; the controller generates a first control signal if the forehead muscle electrical characteristic value corresponding to the first electric signal exceeds a set threshold; a first data processor: based on the first control signal, the first data processor separates a first electroencephalogram signal from the second electrical signal; and acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal. The technical scheme of the invention solves the technical problem of inaccurate anesthesia characteristic data.)

1. The utility model provides an electroencephalogram bispectral monitoring signal acquisition device which characterized in that, electroencephalogram bispectral monitoring signal acquisition device includes:

the first sensor is used for acquiring a first electric signal of a first designated area of the target object;

a second sensor for acquiring a second electrical signal of a second designated area of the target object;

the controller generates a first control signal if the forehead muscle electrical characteristic value corresponding to the first electric signal exceeds a set threshold;

a first data processor: based on the first control signal, the first data processor separates a first electroencephalogram signal from the second electrical signal; and acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal.

2. The EEG bispectral monitoring signal acquisition device of claim 1, wherein the controller is further configured to generate a second control signal if the frontal muscle electrical characteristic value corresponding to the first electrical signal does not exceed the set threshold;

the first data processor is further configured to separate a second electroencephalogram signal from the second electrical signal based on the second control signal; and acquiring the second electroencephalogram signal based on the second electroencephalogram signal, and acquiring a second anesthesia characteristic index corresponding to the second electroencephalogram signal.

3. The EEG bispectral monitoring signal acquisition device of claim 2, further comprising an alarm;

the controller is further configured to control the alarm to send out first alarm information when the first anesthesia characteristic index or the second anesthesia characteristic index is larger than a first preset value.

4. The EEG bispectral monitoring signal acquisition device of claim 3, wherein the controller is further configured to control the alarm to send out a second alarm message if the variation of the first or second anesthetic signature index over time is greater than a second preset value.

5. The EEG Bispectral monitoring signal acquisition device according to claim 1, further comprising a second data processor, said second data processor deriving the corresponding frontal muscle electrical characteristic value based on said first electrical signal,

the controller is further used for judging whether the frontal muscle electrical characteristic value exceeds the set threshold value.

6. The EEG bispectral monitoring signal acquisition device of any of claims 1 to 5, further comprising an output;

the controller is further used for controlling the output device to output the first anesthesia characteristic index and/or the change trend of the first anesthesia characteristic index along with time according to a preset mode.

7. The EEG bispectral monitoring signal acquisition device of any of claim 6, further comprising an input for a user to input operating instructions, the operating instructions comprising query instructions;

the first data processor is also used for calling data information corresponding to the query instruction after receiving the query instruction;

the controller is further configured to control the first data processor to output the data information to an output device according to an output mode and/or a display mode corresponding to the query instruction.

8. The EEG bispectral monitoring signal acquisition device of any of the claims 1 to 5, further comprising an AC power supply and a backup power supply,

the controller is further configured to control the backup power supply to supply power to the controller and the first data processor when the ac power supply is unavailable.

9. The EEG bispectral monitoring signal acquisition device of any of claims 1 to 5, wherein the first sensor and the second sensor are both surface electrodes;

wherein the number of the first sensors is at least two.

10. The utility model provides a brain electricity bispectral monitoring signal collection system, is applied to the anesthesia monitoring of target object, its characterized in that, brain electricity bispectral monitoring signal collection system includes:

the controller generates a first control signal if the forehead muscle electrical characteristic value corresponding to the first electrical signal exceeds a set threshold;

a first data processor: based on the first control signal, the first data processor separates a first electroencephalogram signal from a second electrical signal; acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal;

wherein the first electrical signal is acquired by a first sensor at a first designated area of a target object and the second sensor is acquired by a second sensor at a second designated area of the target object.

Technical Field

The invention relates to the technical field of medical instruments, in particular to an electroencephalogram dual-spectrum monitoring signal acquisition device and system.

Background

Anesthesia in anesthesia surgery is a reversible functional inhibition of the central and/or peripheral nervous system, produced by means of anesthetic drugs or other methods, which is characterized mainly by the loss of sensation, in particular pain sensation, for the purpose of painless surgical treatment. The physiological index state of a patient during surgery affects the dosage regimen of an anesthesiologist

The electroencephalogram dual-spectrum monitoring signal acquisition device is used for monitoring the physiological indexes of a patient in an operation or in a period of time after the operation. In the prior art, a calm value is obtained by collecting an electroencephalogram signal of a patient to reflect the anesthesia depth of the patient; however, when the electroencephalogram signal is acquired, the electric signal of the frontal muscle of the patient is also acquired; complex signals formed by superposing the frontal muscle electrical signals and the electroencephalogram signals enable the obtained sedation value to lose clinical significance and influence the accuracy of anesthesia characteristic data.

Disclosure of Invention

The invention mainly aims to provide an electroencephalogram bispectral monitoring signal acquisition device and system, and aims to solve the technical problem that anesthesia characteristic data are inaccurate in the prior art.

In order to achieve the above object, the present invention provides an electroencephalogram dual-spectrum monitoring signal acquisition device, including:

the first sensor is used for acquiring a first electric signal of a first designated area of the target object;

a second sensor for acquiring a second electrical signal of a second designated area of the target object;

the controller generates a first control signal if the forehead muscle electrical characteristic value corresponding to the first electric signal exceeds a set threshold;

a first data processor: based on the first control signal, the first data processor separates a first electroencephalogram signal from the second electrical signal; and acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal.

Optionally, the first control circuit is further configured to generate a second control signal when the frontal muscle electrical characteristic value corresponding to the first electrical signal does not exceed the set threshold; the first data processor is further configured to separate a second electroencephalogram signal from the second electrical signal based on the second control signal; and acquiring the second brain communication based on the second brain electrical signal.

Optionally, the electroencephalogram bispectral monitoring signal acquisition device further comprises an alarm; the controller is further configured to control the alarm to send out first alarm information when the first anesthesia characteristic index or the second anesthesia characteristic index is larger than a first preset value.

Optionally, the controller is further configured to control the alarm to send out second alarm information when a variation of the first anesthesia characteristic index or the second anesthesia characteristic index with time is greater than a second preset value.

Optionally, the electroencephalogram bispectral monitoring signal acquisition device further comprises a second data processor, the second data processor obtains the corresponding frontal myoelectricity characteristic value based on the first electrical signal, and the controller is further configured to determine whether the frontal myoelectricity characteristic value exceeds the set threshold.

Optionally, the electroencephalogram bispectral monitoring signal acquisition device further comprises an output device; the controller is further used for controlling the output device to output the first anesthesia characteristic index and/or the change trend of the first anesthesia characteristic index along with time according to a preset mode.

Optionally, the electroencephalogram bispectral monitoring signal acquisition device further comprises an input unit, wherein the input unit is used for a user to input an operation instruction, and the operation instruction comprises a query instruction; the first data processor is also used for calling data information corresponding to the query instruction after receiving the query instruction; the controller is further configured to control the first data processor to output the data information to an output device according to an output mode and/or a display mode corresponding to the query instruction.

Optionally, the electroencephalogram dual-spectrum monitoring signal acquisition device further comprises an alternating current power supply and a standby power supply, and the controller is further configured to control the standby power supply to supply power to the controller and the first data processor when the alternating current power supply cannot be used.

Optionally, the first sensor and the second sensor are both surface electrodes; wherein the number of the first sensors is at least two.

Optionally, the present invention further provides an electroencephalogram bispectral monitoring signal acquisition system, including:

the controller generates a first control signal if the forehead muscle electrical characteristic value corresponding to the first electrical signal exceeds a set threshold;

a first data processor: based on the first control signal, the first data processor separates a first electroencephalogram signal from a second electrical signal; acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal; wherein the first electrical signal is acquired by a first sensor at a first designated area of a target object and the second sensor is acquired by a second sensor at a second designated area of the target object.

Compared with the prior art, the electroencephalogram dual-spectrum monitoring signal acquisition device provided by the invention comprises: the first sensor is used for acquiring a first electric signal of a first designated area of the target object; a second sensor for acquiring a second electrical signal of a second designated area of the target object; the controller generates a first control signal if the forehead muscle electrical characteristic value corresponding to the first electric signal exceeds a set threshold; a first data processor: based on the first control signal, the first data processor separates a first electroencephalogram signal from the second electrical signal; and acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal. The method can control the first data processor to obtain a relatively clean electroencephalogram signal for the second electrical signal by judging the size of a corresponding frontal muscle electrical characteristic value in the relatively clean frontal muscle electrical signal obtained only through preliminary filtering, so that the obtained first anesthesia characteristic index can more accurately reflect the anesthesia state of a patient, and the technical problem that in the prior art, electroencephalogram consciousness is directly obtained through the electroencephalogram signal without considering the influence of the frontal muscle electrical, and further anesthesia characteristic data are inaccurate can be effectively solved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.

FIG. 1 is a first embodiment of the EEG bispectral monitoring signal acquisition device of the invention;

FIG. 2 is a second embodiment of the EEG dual-spectrum monitoring signal acquisition device of the present invention;

FIG. 3 is a third embodiment of the EEG dual-spectrum monitoring signal acquisition device of the present invention;

fig. 4 is a fourth embodiment of the electroencephalogram bispectral monitoring signal acquisition device of the invention.

The reference numbers illustrate:

reference numerals	Name (R)	Reference numerals	Name (R)
				100	First sensor	600	Alarm device
200	Second sensor	700	Output device
				300	Controller	800	AC power supply
400	First data processor	900	Standby power supply
				500	Second data processor

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and/or" appearing throughout includes three juxtapositions, exemplified by "A and/or B" including either A or B or both A and B. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.

The existing monitor mainly monitors electroencephalogram consciousness, and the products are used for collecting the brain wave frequency of a patient in an operation, calculating the electroencephalogram consciousness, providing quantitative reference data of deep anesthesia and sedation for a clinician, and facilitating medical care personnel to judge the anesthesia state of a target object.

However, frontal muscle electricity is a biological signal that is always present. In the prior art, electroencephalogram consciousness is directly obtained through electroencephalogram signals, influence of frontal myoelectricity is not considered, and high operation risk exists. For example, when the target object has anxiety and tension, the frown muscle and the frontal muscle of the target object can generate myoelectric signals; the frontal muscle electrical value is increased, so that more frontal muscle electrical signals exist in the electroencephalogram signals, the accuracy of the anesthesia characteristic index is further influenced, and medical staff cannot accurately judge the anesthesia state of the target object.

In the present invention, when not specifically described, the target object generally refers to a living body having an emotional state, such as a human body.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a first embodiment of an electroencephalogram dual-spectrum monitoring signal acquisition device provided by the invention; the electroencephalogram bispectral monitoring signal acquisition device comprises:

a first sensor 100 for acquiring a first electrical signal of a first designated area of the target object;

a second sensor 200 for acquiring a second electrical signal of a second designated area of the target object;

a controller 300, wherein if the frontal muscle electrical characteristic value corresponding to the first electrical signal exceeds a set threshold, the controller 300 generates a first control signal;

the first data processor 400: based on the first control signal, the first data processor 400 separates a first electrical brain signal from the second electrical signal; and acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal.

The first designated area is a part where a large amount of frontal myoelectricity can be collected in the target object, for example, a part in the center of the forehead, above the cheekbone side, or the like; and the second designated area can be used for acquiring a part which generates more electroencephalogram signals, such as the head, the eyebrow and the like, of the target object. However, regardless of the region, the acquired signal contains two signal components, one being an electroencephalogram signal and the other being a frontal muscle electrical signal. The difference is that in the first electric signal, the frontal muscle electric signal is a main signal, and the brain electric signal is a secondary signal; in the second electrical signal, the brain electrical signal is the primary signal, and the frontal electrical signal is the secondary signal. In the second electrical signal, the component of the second electrical signal is, under some circumstances, (for example, whether the patient is anxious and tense, or different stages in the operation of the patient), whether the frontal muscle electrical signal will cause the distortion of the anesthesia characteristic index corresponding to the electroencephalogram signal.

It should be noted that the set threshold may be a parameter value obtained according to different sample data, for example, obtained according to methods such as maximum likelihood estimation, neural network learning, and averaging; typically, the surgical site to be joined is also estimated, and then the set threshold is output from the database according to the surgical site.

It should be noted that, for the first designated area of the first electrical signal, the first designated area should be a portion where the electroencephalogram signal is weak and a portion where the frontal muscle electrical signal is strong, so that a relatively "clean" frontal muscle electrical signal can be obtained only by preliminary filtering. And obtaining at least one of the frontalis electrical characteristic values such as amplitude, frequency and the like based on the frontalis electrical signal corresponding to the first electrical signal. When the frontal muscle electrical characteristic value is larger than the set threshold, it indicates that the frontal muscle electrical component in the second electrical signal for obtaining the anesthesia characteristic index is more, which may affect the accuracy of the anesthesia characteristic index.

Thus, the controller 300 generates a first control signal for controlling the first data processor 400 to obtain a "clean" first electrical brain signal by separating the second electrical signal when the frontal muscle electrical characteristic value is greater than the set threshold value. Generally, an independent component analysis method is adopted to separate the first electroencephalogram signal from the second electrical signal; then, the first data processor 400 extracts an electroencephalogram characteristic value from the first electroencephalogram signal, so as to obtain a corresponding first anesthesia characteristic index for medical staff to judge the anesthesia depth of the patient.

It is noted that the first index of anesthesia characteristics may be at least one of a NOX index, a sedation depth parameter HLS, and the like.

Compared with the prior art, the electroencephalogram dual-spectrum monitoring signal acquisition device provided by the invention comprises: a first sensor 100 for acquiring a first electrical signal of a first designated area of the target object; a second sensor 200 for acquiring a second electrical signal of a second designated area of the target object; a controller 300, wherein if the frontal muscle electrical characteristic value corresponding to the first electrical signal exceeds a set threshold, the controller 300 generates a first control signal; the first data processor 400: based on the first control signal, the first data processor 400 separates a first electrical brain signal from the second electrical signal; and acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal. The method can control the first data processor to obtain a relatively clean electroencephalogram signal for the second electrical signal by judging the size of a corresponding frontal muscle electrical characteristic value in the relatively clean frontal muscle electrical signal obtained only through preliminary filtering, so that the obtained first anesthesia characteristic index can more accurately reflect the anesthesia state of a patient, and the technical problem that in the prior art, electroencephalogram consciousness is directly obtained through the electroencephalogram signal without considering the influence of the frontal muscle electrical, and further anesthesia characteristic data are inaccurate can be effectively solved.

Optionally, referring to fig. 1, the controller 300 is further configured to generate a second control signal when the frontalis electrical characteristic value corresponding to the first electrical signal does not exceed the set threshold; the first data processor 400 is further configured to separate a second electrical brain signal from the second electrical signal based on the second control signal; and acquiring the second electroencephalogram signal based on the second electroencephalogram signal, and acquiring a second anesthesia characteristic index corresponding to the second electroencephalogram signal.

It should be noted that when the target object is in the middle and later stages of surgical anesthesia, and when the target object is in a relaxed state or a deep sleep state, the frontal muscle, the frown muscle and the like are in a relaxed state, and the generated myoelectric characteristic value generally does not exceed a set threshold value; at this time, the controller 300 generates a second control signal under the condition that the frontal muscle electrical characteristic value corresponding to the first electrical signal does not exceed the set threshold, so that the data processor 400 separates a second electroencephalogram signal from the second electrical signal; at this time, the second electroencephalogram signal is separated from the second electrical signal, which may be: the second electrical signal can obtain a relatively clean second electroencephalogram signal only through preliminary filtering; and processing the second electroencephalogram signal to obtain a corresponding electroencephalogram characteristic value, so as to obtain a second anesthesia characteristic parameter. It is noted that the second index of anesthesia characteristics may be at least one of a NOX index, a sedation depth parameter HLS, and the like.

Optionally, referring to fig. 2, the electroencephalogram bispectral monitoring signal acquisition device further comprises an alarm 600. It should be noted that the alarm 600 may be at least one of a light alarm and an audible alarm. The controller 300 is further configured to control the alarm 600 to send out a first alarm message when the first anesthesia characteristic index or the second anesthesia characteristic index is greater than a first preset value.

It should be noted that, in the present invention, the first preset value may be a parameter value obtained according to different sample data, for example, obtained according to methods such as maximum likelihood estimation, neural network learning, and averaging; typically, the surgical site to be joined is also estimated, and then the set threshold is output from the database according to the surgical site. It is mainly used for ensuring the safety of a patient in an operation and preventing over-anesthesia or unsafe anesthesia.

Therefore, regardless of the electromyographic signals of the patient, when the device obtains the index of the anesthesia characteristic, it needs to be compared with the first preset value. Namely: the controller 300 is further configured to control the alarm 600 to send out a first alarm message when the first anesthesia characteristic index or the second anesthesia characteristic index is greater than a first preset value. The controller 300 controls the alarm 600 to send out first alarm information. The first alarm information may be sound, light, etc.

Optionally, the controller 300 is further configured to control the alarm 600 to send out a second alarm message when a variation of the first anesthesia characteristic index or the second anesthesia characteristic index over time is greater than a second preset value.

During the anesthesia, the anesthesia characteristic value of the target object may be greatly changed due to the change of the dosage or the change of the constitution of the target object; therefore, the control 300 of the present invention further controls whether the alarm 600 sends out the second alarm information by combining the comparison between the variation of the first or second anesthetic characteristic index over time and the second preset value; the controller 300 controls the alarm 600 to send out a second alarm message when the variation of the first or second anesthetic characteristic index over time is greater than a second preset value.

Taking the first characteristic value of anesthesia as an example, for example, at t₀The first anesthetic characteristic value of the patient at the moment is x₀At t₁The first anesthetic characteristic value of the patient at the moment is x₁Then at t₀Time t and₁between moments, the variation is | x₀-x₁|/t₁-t₀Or | x₀-x₁|/[(t₁-t₀)·x₀]. Time intervals (t) for different anesthesia sites or vital signs of the patient₁-t₀) Will vary. Namely: the time interval for obtaining the variation corresponds to the anesthesia site or the vital signs of the patient. E.g. for general hand fractures, time intervals (t)₁-t₀) May be 5 minutes; for general caesarean operation, time interval (t)₁-t₀) May be 2 minutes; for caesarean section with a time interval (t) at risk of dystocia₁-t₀) And may be 10s or less.

It should be noted that the second alarm information is different from the first alarm information; for example, the second alarm information is sound of short frequency or sound and light combination; and the first alarm information is a long-frequency sound.

Optionally, referring to fig. 2, the electroencephalogram and bispectral monitoring signal acquisition device further includes a second data processor 500, the second data processor 500 obtains the corresponding frontal myoelectricity characteristic value based on the first electrical signal, and the controller 300 is further configured to determine whether the frontal myoelectricity characteristic value exceeds the set threshold.

It should be noted that the second data processor 500 filters, amplifies, and performs analog-to-digital conversion on the first electrical signal to obtain a frontal muscle electrical characteristic value, where the frontal muscle electrical characteristic value should include a frontal muscle electrical frequency or a frontal muscle electrical amplitude. The controller 300 compares the frontal muscle electrical characteristic value with a set threshold value, and determines whether the frontal muscle electrical characteristic value exceeds the set threshold value. If yes, generating a first control signal; and if not, generating a second control signal.

Optionally, referring to fig. 3, the electroencephalogram bispectral monitoring signal acquisition device further comprises an output device 700; the output device 700 may be a display or a printer; a display is generally preferred. The controller 300 is further configured to control the output unit 700 to output the first anesthesia characteristic index and/or a trend of the first anesthesia characteristic index over time according to a preset manner. The preset mode can be display or paper printing. Meanwhile, the controller 300 is further configured to control the output device 700 to output the second anesthesia characteristic index and/or a change trend of the second anesthesia characteristic index over time according to a preset manner.

It should be noted that the preset mode may be display, image display, or text display.

Optionally, the electroencephalogram bispectral monitoring signal acquisition device further comprises an input unit, wherein the input unit is used for a user to input an operation instruction, and the operation instruction comprises a query instruction;

the first data processor 400 is further configured to, after receiving a query instruction, retrieve data information corresponding to the query instruction;

the controller 300 is further configured to control the first data processor 400 to output the data information to an output device 700 according to an output manner and/or a display manner corresponding to the query instruction.

It should be noted that, in order to facilitate the medical staff to know the indexes, the medical staff may input the query instruction through an input device, such as a voice input device, a keyboard input device, etc.; the first data processor 400 calls data information corresponding to the query instruction based on the query instruction; for example, if a medical staff inputs and inquires a first electroencephalogram signal at a certain time, the controller 300 controls the first data processor 400 to output the first electroencephalogram signal to a display in a manner of displaying a curve. In this embodiment, the first data processor 400 can also draw a trend graph according to each index and display the trend graph on the output device 700 (display), and can also draw a trend graph of historical data according to a historical query instruction sent by a medical staff and print the trend graph to a printer.

Similarly, the second data processor has the same functions, and will not be described in detail herein.

Therefore, the present invention may have different memories, and the original data and the processed data of the first data processor 400 are stored in the first memory; the original data and the processed data of the second data processor 500 are saved in the second memory; and the output and the query are convenient.

Optionally, the electroencephalogram bispectral monitoring signal acquisition device further comprises an alternating current power supply 800 and a standby power supply 900, and the controller 300 is further configured to control the standby power supply 900 to supply power to the controller 300 and the first data processor 400 when the alternating current power supply 800 is unavailable.

Generally, the ac power supply 800 is an external medical power supply, and a general hospital has a separate power supply facility so that the ac power supply 800 does not have a power failure; in order to prevent sudden power failure in special situations, such as municipal works, the ac power supply 800 stops supplying power, and the controller 300 is passively triggered to generate a signal for emergency power supply, so that the controller 300 and the first data processor 400 are powered by the standby power supply. Similarly, the standby power supply 900 may supply power to the second data processor 500, the alarm 600, the outputter 700, and the like. The backup power source 900 may be a storage battery pack.

Optionally, the first sensor 100 and the second sensor 200 are both surface electrodes; wherein, the number of the first sensors 100 is at least two. Generally, the second sensor 200 is mainly used for acquiring electroencephalogram signals, so that more sensors can be arranged; the number of the first sensors 100 is generally auxiliary and thus may be small, but is preferably 2 or more, and preferably 2, so that the data can be mutually verified.

The invention also provides an electroencephalogram bispectral monitoring signal acquisition system, which is shown in figure 1 and is applied to anesthesia monitoring of a target object, and is characterized by comprising the following components:

a controller 300, wherein if the forehead muscle electrical characteristic value corresponding to the first electrical signal exceeds a set threshold, the controller 300 generates a first control signal;

the first data processor 100: based on the first control signal, the data processor separates a first electroencephalogram signal from a second electrical signal; acquiring a first anesthesia characteristic index corresponding to the first electroencephalogram signal based on the first electroencephalogram signal;

wherein the first electrical signal is acquired by the first sensor 100 at a first designated area of the target object and the second sensor 200 is acquired by the second sensor 200 at a second designated area of the target object.

Reference is made to the above description, which is not repeated herein.

In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with an electroencephalogram bispectral monitoring signal data processing program, and the electroencephalogram bispectral monitoring signal data processing program realizes the processing steps of the electroencephalogram bispectral monitoring signal data processing device and the system when being executed by a processor. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application. Determining by way of example, the program instructions may be deployed to be executed on one terminal device, or on multiple terminal devices located at one site, or distributed across multiple sites and interconnected by a communication network.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The computer-readable storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The above description is only an alternative embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.