CN114699089A - Electroencephalogram detection device, impedance detection method, and storage medium - Google Patents
Electroencephalogram detection device, impedance detection method, and storage medium Download PDFInfo
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Abstract
The invention discloses an electroencephalogram detection device, an impedance detection method and a storage medium, wherein the electroencephalogram detection device comprises an impedance network, an analog processing unit, an analog-to-digital conversion unit and a digital processing unit; the signal output end of the impedance network is electrically connected with the signal input end of the analog processing unit, the driven end of the impedance network is electrically connected with the driving end of the analog processing unit, the signal output end of the analog processing unit is electrically connected with the signal input end of the analog-to-digital conversion unit, and the signal output end of the analog-to-digital conversion unit is connected with the signal input end of the digital processing unit. The method and the device can ensure that the result of the acquisition and processing of the electroencephalogram signals is stable and reliable.
Description
Technical Field
The invention relates to an electroencephalogram detection device for detecting electroencephalogram signals in the medical field, in particular to an electroencephalogram detection device, an impedance detection method and a storage medium.
Background
The living body tissue cells always produce very weak bioelectricity, the brain electrical signal is the general effect of the electrical activity of a large number of brain nerve cells on the cerebral cortex in a highly coherent state, the electrical activity of the brain cells is led out by using electrodes arranged on the scalp and is analyzed and recorded after being amplified by brain electrical detection equipment, and the brain electrical signal contains certain waveform, amplitude, frequency and phase and is changed, namely, electroencephalogram analysis. When the brain tissue is functionally changed, the wave curve is correspondingly changed, thereby providing a basis for clinical diagnosis and treatment.
Because the electroencephalogram signal is very weak, the quality of the electroencephalogram signal is inevitably influenced by artifacts and noise caused by various external factors in the measurement process. Interference and power frequency interference caused by poor contact between the electrode and the scalp and amplified channel noise are three interference sources with the largest influence in electroencephalogram detection. Some traditional electroencephalogram detection equipment does not have the function of monitoring the electrode connection condition, and other traditional electroencephalogram detection equipment can only partially measure the lead electrode connection condition, and cannot measure all lead electrode connections.
Disclosure of Invention
The invention provides an electroencephalogram detection device, an impedance detection method and a storage medium, and aims to solve the technical problem that the processing result of an electroencephalogram signal is unstable.
In order to achieve the above object, the present invention provides an electroencephalogram detection device, which includes an impedance network, an analog processing unit, an analog-to-digital conversion unit, and a digital processing unit; the signal output end of the impedance network is electrically connected with the signal input end of the analog processing unit, the driven end of the impedance network is electrically connected with the driving end of the analog processing unit, the signal output end of the analog processing unit is electrically connected with the signal input end of the analog-to-digital conversion unit, the signal output end of the analog-to-digital conversion unit is connected with the signal input end of the digital processing unit, the analog processing unit is connected between the signal output end of the impedance network and the signal input end of the analog processing unit in series, and the controlled end of the analog processing unit is electrically connected with the control end of the digital processing unit.
Furthermore, the electroencephalogram detection device further comprises an auxiliary circuit unit, and the auxiliary circuit unit is connected between the impedance network and the analog processing unit in series.
Optionally, the electroencephalogram detection device further comprises a power module, and the power module comprises:
the positive power supply is a constant current source and is connected with the analog processing unit;
and the negative power supply is a constant current source and is connected with the analog processing unit.
Further, the digital processing unit includes:
the switch control subunit is electrically connected with the controlled end of the analog processing unit;
the impedance detection subunit is electrically connected with the signal output end of the analog-to-digital conversion unit and comprises a test signal filter and an impedance calculator which are mutually connected;
and the electroencephalogram signal processing subunit is electrically connected with the signal output end of the analog-to-digital conversion unit and comprises an electroencephalogram signal filter and an electroencephalogram signal processor which are mutually connected.
Specifically, the analog processing unit includes a filtering amplifying circuit and a driving circuit, a signal input end of the filtering amplifying circuit is connected with a signal input end of the impedance network, a signal output end of the filtering amplifying circuit is connected with a signal input end of the analog-to-digital conversion unit, and a driving end of the driving circuit is connected with a driven end of the impedance network.
Specifically, the impedance network comprises at least two electroencephalogram signal testing electrodes, an impedance testing auxiliary electrode and a driving auxiliary electrode, the electroencephalogram signal testing electrodes are respectively connected with the signal input end of the filtering amplification circuit, the impedance testing auxiliary electrode is connected with the signal input end of the filtering amplification circuit, and the driving auxiliary electrode is connected with the driving end of the driving circuit.
Furthermore, the analog processing unit comprises at least two groups of signal test switches, the signal test switches correspond to the electroencephalogram signal test electrodes one by one, the signal test switches comprise a first signal test switch and a second signal test switch, one end of the first signal test switch is connected with the signal output end of the electroencephalogram signal test electrode, and the other end of the first signal test switch is connected with the positive power supply; one end of the second signal test switch is connected with the signal output end of the electroencephalogram signal test electrode, and the other end of the second signal test switch is connected with the negative power supply.
In order to achieve the above object, the present application further provides an impedance detection method for an electroencephalogram detection device, where the impedance detection method for an electroencephalogram detection device includes:
if the electroencephalogram acquisition mode is in, acquiring an electroencephalogram signal, and generating an electroencephalogram signal processing result according to the electroencephalogram signal;
and if the contact is in the impedance detection mode, acquiring a power supply test signal, generating an impedance detection signal according to the power supply test signal, and acquiring theoretical contact impedance based on the impedance detection signal.
Optionally, obtaining a current amplitude and a circuit amplification gain of the current source;
and calculating theoretical contact impedance according to the current amplitude, the circuit amplification gain and the impedance detection signal.
In order to achieve the above object, the present application further provides a storage medium, in which an impedance detection program of an electroencephalogram detection device is stored, and the impedance detection program of the electroencephalogram detection device is executed by a processor to implement the electroencephalogram detection device.
In the application, the electroencephalogram detection device is provided, and the electroencephalogram detection device comprises the impedance network, the analog processing unit, the analog-to-digital conversion unit and the digital processing unit which are connected with one another, so that the electroencephalogram signal can be processed through the electroencephalogram detection device, and the internal impedance of the device can be detected, and therefore the electroencephalogram signal can be acquired and processed stably and reliably.
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 schematic block diagram of an electroencephalogram detection device according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of an electroencephalogram detection device according to another embodiment of the present invention;
FIG. 3 is a schematic block diagram of an electroencephalogram detection apparatus according to yet another embodiment of the present invention;
FIG. 4 is a schematic block diagram of an electroencephalogram detection device according to yet another embodiment of the present invention;
FIG. 5 is a flowchart of an impedance detection method of a brain electrical detection device according to an embodiment of the present invention;
fig. 6 is a schematic circuit diagram of an electroencephalogram detection device according to an embodiment of the present invention.
The reference numbers illustrate:
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.
It should be noted that all directional indicators (such as upper, lower, left, right, front and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are 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 the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
Various embodiments of the method of the present invention are presented in terms of the above-described hardware architecture.
The living body tissue cells always produce very weak bioelectricity, the brain electrical signal is the general effect of the electrical activity of a large number of brain nerve cells on the cerebral cortex in a highly coherent state, the electrical activity of the brain cells is led out by using electrodes arranged on the scalp and is analyzed and recorded after being amplified by brain electrical detection equipment, and the brain electrical signal contains certain waveform, amplitude, frequency and phase and is changed, namely, electroencephalogram analysis. When the brain tissue is functionally changed, the wave curve is correspondingly changed, thereby providing a basis for clinical diagnosis and treatment.
Because the electroencephalogram signal is very weak, the quality of the electroencephalogram signal is inevitably influenced by artifacts and noise caused by various external factors in the measurement process. Interference and power frequency interference caused by poor contact between the electrode and the scalp and amplified channel noise are three interference sources with the largest influence in electroencephalogram detection. Some traditional electroencephalogram detection equipment does not have the function of monitoring the electrode connection condition, and other traditional electroencephalogram detection equipment can only partially measure the lead electrode connection condition, and cannot measure all lead electrode connections.
In order to solve the above problem, the present application provides an electroencephalogram detection apparatus, and referring to fig. 2, in a first embodiment of the electroencephalogram detection apparatus of the present invention, the electroencephalogram detection apparatus includes: the device comprises an impedance network 1, an analog processing unit 2, an analog-to-digital conversion unit 3 and a digital processing unit 4; the signal output end of the impedance network 1 is electrically connected with the signal input end of the analog processing unit 2, the driven end of the impedance network 1 is electrically connected with the driving end of the analog processing unit 2, the signal output end of the analog processing unit is electrically connected with the signal input end of the analog-to-digital conversion unit 3, the signal output end of the analog-to-digital conversion unit 3 is connected with the signal input end of the digital processing unit 4, the analog processing unit is connected in series between the signal output end of the impedance network 1 and the signal input end of the analog processing unit 2, and the controlled end of the analog processing unit is electrically connected with the control end of the digital processing unit 4.
In this embodiment, the electroencephalogram detection device includes: the device comprises an impedance network 1, an analog processing unit 2, an analog-to-digital conversion unit 3 and a digital processing unit 4. The impedance network 1 comprises at least four lead electrodes and is used for being placed on the scalp to collect electroencephalogram signals of brain cells, and the electroencephalogram signals are the overall effect of electrical activity of a large number of brain nerve cells in a highly coherent state on cerebral cortex.
The signal output end of the impedance network 1 is electrically connected with the signal input end of the analog processing unit 2, the electroencephalogram signal is transmitted to the analog processing unit 2 after the electroencephalogram signal is acquired by the impedance network 1, and the analog processing unit 2 is used for filtering, amplifying and the like of the electroencephalogram signal; in addition, the driving end of the analog processing unit 2 is connected with the driven end of the impedance network 1 and is used for keeping the trackability of the electroencephalogram signals.
The signal output end of the analog processing unit is electrically connected with the signal input end of the analog-to-digital conversion unit 3, the electroencephalogram signals enter the analog-to-digital conversion unit 3 after being filtered and amplified, and the analog-to-digital conversion unit 3 performs digital quantization and coding on the electroencephalogram signals. In one embodiment, the analog processing units are a plurality of identical triodes.
The signal output end of the analog-to-digital conversion unit 3 is connected with the signal input end of the digital processing unit 4, the electroencephalogram signal after digital quantization and coding is input into the digital processing unit 4 by the analog-to-digital conversion unit 3, and the digital processing unit 4 can perform signal processing on the electroencephalogram signal to obtain the waveform of an electroencephalogram. In one embodiment, the analog-to-digital conversion unit 3 is an AD converter.
In addition, the analog processing unit is connected in series between the signal output end of the impedance network 1 and the signal input end of the analog processing unit 2, and is used for controlling the opening and closing of the electroencephalogram signal detection process.
The application provides an electroencephalogram detection device, which comprises an impedance network 1, an analog processing unit 2, an analog-to-digital conversion unit 3 and a digital processing unit 4 which are connected with one another, wherein the electroencephalogram detection device can complete the processing of electroencephalogram signals and detect the internal impedance of the device, so that the acquisition of the electroencephalogram signals and the processing result are stable and reliable.
In an embodiment, the electroencephalogram detection apparatus further includes an auxiliary circuit unit 5, and the auxiliary circuit unit 5 is connected in series between the impedance network 1 and the analog processing unit 2.
In this embodiment, the auxiliary circuit unit 5 is connected in series between the impedance network 1 and the analog processing unit 2, and before the impedance network 1 transmits the acquired electroencephalogram signal to the analog processing unit 2, the electroencephalogram signal is transmitted to the auxiliary circuit unit 5, the auxiliary circuit unit 5 is used for defibrillation and ESD defibrillation, i.e., a harmful large signal in the electroencephalogram signal is limited, and then the electroencephalogram signal is transmitted to the analog processing unit 2.
In one embodiment, the electroencephalogram detection apparatus further comprises a power supply module 6, wherein the power supply module 6 comprises at least three positive power supplies I1-In and a negative power supply I0, the positive power supplies I1-In are respectively connected with nodes of the signal output end of the impedance network 1 and the signal input end of the analog processing unit 2, and the negative power supply I0 is connected with the signal input end of the analog processing unit 2.
The electroencephalogram detection device further comprises a power module 6. In this embodiment, the power module 6 includes at least three positive power supplies I1-In and a negative power supply I0, wherein the positive power supply I1-In and the negative power supply I0 are current sources. In addition, the electroencephalogram detection device in the application has at least one working mode, namely an electroencephalogram signal acquisition mode, and in the electroencephalogram signal acquisition mode, the contact impedance of each lead electrode to the scalp can be acquired.
In one embodiment, the digital processing unit 4 comprises:
the switch control sub-unit is electrically connected with the controlled end of the analog processing unit 2;
an impedance detection subunit 51 electrically connected to the signal output terminal of the analog-to-digital conversion unit 3, and including a test signal filter and an impedance calculator connected to each other;
and the electroencephalogram signal processing subunit 52 is electrically connected with the signal output end of the analog-to-digital conversion unit 3 and comprises an electroencephalogram signal filter and an electroencephalogram signal processor which are mutually connected.
In this embodiment, the digital processing unit 4 includes a switch control subunit, an impedance detection subunit 51, and an electroencephalogram signal processing subunit 52, respectively. The control end of the switch control subunit is electrically connected with the controlled end of the analog processing unit 2 and is used for controlling the on and off of each switch in the analog processing unit 2; the signal input end of the impedance detection subunit 51 is electrically connected with the signal output end of the analog-to-digital conversion unit 3, and is used for receiving the impedance test signal output by the analog-to-digital conversion unit 3, filtering the electroencephalogram signal through a test signal filter, and then calculating the theoretical contact impedance of each lead electrode through an impedance calculator.
The electroencephalogram signal processing subunit 52 is electrically connected to the signal output end of the analog-to-digital conversion unit 3, and is configured to receive the electroencephalogram signal output by the analog-to-digital conversion unit 3, filter out the impedance test signal through an electroencephalogram signal filter, and finally process the electroencephalogram signal through an electroencephalogram signal processor.
In an embodiment, the analog processing unit 2 includes a filtering and amplifying circuit 31 and a driving circuit 32, a signal input end of the filtering and amplifying circuit 31 is connected to a signal input end of the impedance network 1, a signal output end of the filtering and amplifying circuit 31 is connected to a signal input end of the analog-to-digital converting unit 3, and a driving end of the driving circuit 32 is connected to a driven end of the impedance network 1.
In this embodiment, the analog processing unit 2 includes a filtering amplifying circuit 31 and a driving circuit 32, a signal input end of the filtering amplifying circuit 31 is connected to a signal output end of the impedance network 1, and a signal output end of the filtering amplifying circuit 31 is connected to a signal input end of the analog-to-digital conversion unit 3, and is configured to filter and amplify the impedance test signal and the electroencephalogram signal. The driving end of the driving circuit 32 is connected with the driven end of the impedance network 1, no matter in an electroencephalogram acquisition mode or an impedance test mode, the driving circuit 32 can extract slow change waves in electroencephalogram signals, the slow change waves reach the scalp of a user through the impedance module, negative feedback acts on the scalp to offset static voltage fluctuation on the scalp, and therefore the dynamic range of the electroencephalogram signals is compressed to be matched with the signal input range of the analog processing unit 2, and the trackability of the electroencephalogram signals is kept.
In an embodiment, the impedance network 1 includes at least two electroencephalogram signal testing electrodes Z1-Zn, an impedance testing auxiliary electrode Zref and a driving auxiliary electrode Zgnd, the electroencephalogram signal testing electrodes Z1-Zn are respectively connected to the signal input end of the filtering amplification circuit 31, the impedance testing auxiliary electrode Zref is connected to the signal input end of the filtering amplification circuit 31, and the driving auxiliary electrode Zgnd is connected to the driving end of the driving circuit 32.
In this embodiment, the impedance network 1 includes at least two electroencephalogram signal testing electrodes Z1- -Zn, at least one impedance testing auxiliary electrode Zref, and at least one driving auxiliary electrode Zgnd. The electroencephalogram signal testing electrode Z1-Zn is respectively connected with the signal input end of the filtering amplifying circuit 31, the impedance testing auxiliary electrode Zref is connected with the signal input end of the filtering amplifying circuit 31, and the driving auxiliary electrode Zgnd is connected with the driving end of the driving circuit 32. The electroencephalogram signal testing electrode Z1-Zn is used for collecting electroencephalogram signals, the impedance testing auxiliary electrode Zref is used for performing impedance testing, and the driving auxiliary electrode Zgnd is used for assisting the driving circuit 32 to keep the trackability of the electroencephalogram signals.
In one embodiment, the positive power supply I1-In is In one-to-one correspondence with the electroencephalogram signal test electrode Z1- -Zn, and one end of the positive power supply I1-In is connected with a node of a signal output end of the electroencephalogram signal test electrode Z1- -Zn and a signal input end of the filtering and amplifying circuit 31.
The invention also provides an impedance detection method of the electroencephalogram detection device, which comprises the following steps:
s100, acquiring a control instruction, and selecting a working mode of the electroencephalogram detection device according to the control instruction;
step S200, if an electroencephalogram acquisition mode is selected, acquiring electroencephalogram signals, generating electroencephalogram signal processing results according to the electroencephalogram signals, acquiring power supply test signals, generating impedance detection signals according to the power supply test signals, and acquiring theoretical contact impedance based on the impedance detection signals.
In the application, under the electroencephalogram acquisition mode, at least two electroencephalogram signal testing electrodes Z1-Zn in the impedance network 1 are placed on the scalp of a user and respectively acquire electroencephalogram signals on the scalp of the user, and the electroencephalogram signals can simultaneously reach the analog processing unit and the auxiliary circuit unit 5, and in the electroencephalogram acquisition mode, all switches in the analog processing unit are switched off, therefore, the power supply module 6 can not affect the electroencephalogram collection, the auxiliary circuit unit 5 limits harmful large signals in the electroencephalogram signals, then the EEG signal enters an analog processing unit 2, the EEG signal is filtered and amplified by the analog processing unit 2, the amplified EEG signal enters an analog-to-digital conversion unit 3, the analog signal is converted into a digital signal, and the converted EEG signal enters a digital processing unit 4 to obtain an EEG signal processing result. The electroencephalogram signal processing result can be electroencephalogram in a curvilinear figure mode or record in a character mode.
In one embodiment, the step of obtaining a theoretical contact impedance based on the impedance detection signal includes:
acquiring the current amplitude and the circuit amplification gain of a positive power supply I1-In;
and calculating theoretical contact impedance according to the current amplitude, the circuit amplification gain and the impedance detection signal.
In this embodiment, taking fig. 6 as an example, since the positive power supply I1-In and the negative power supply I0 are both constant current sources, the current amplitude of the constant current sources may be set to I, and the amplitude of the impedance detection signal received by the digital processing unit 4 may be U1，U2......Un-1，Un。
Then the following set of equations can be listed:
wherein Z is1,Z2,Z3.......Zn,Zref,ZgndTheoretical contact impedance, Z, respectively for each lead electrode1,Z2,Z3.......ZnTesting theoretical contact impedance of electrode Z1-Zn for electroencephalogram signalsrefFor impedance testing of the theoretical contact impedance, Z, of the auxiliary electrode ZrefgndThe theoretical contact impedance to drive the auxiliary electrode Zgnd. And Z1r、Z2r......ZnrRespectively testing the composite impedance corresponding to the electrode Z1-Zn for each electroencephalogram signal.
Specifically, the method comprises the following steps: z1r＝Z1+Zref；Z2r＝Z2+Zref.......Znr＝Zn+Zref。
g is the circuit amplification gain of the analog processing unit 2. In I, g, U1、U2......Un-1、UnUnder the condition of known quantity, the composite impedance and the theoretical contact impedance of each electroencephalogram signal test electrode Z1-Zn can be obtained through calculation. After the complex impedance of each electroencephalogram signal testing electrode Z1-Zn is obtained, the complex impedance can be compared with a preset state threshold, if all the complex impedance is less than or equal to the preset state threshold, all the electroencephalogram signal testing electrodes Z1-Zn and the impedance testing auxiliary electrode Zref corresponding to the complex impedance are considered to be in a normal state; if part of the complex impedance is smaller than or equal to the preset state threshold, the electroencephalogram signal testing electrode Z1-Zn corresponding to the complex impedance is considered to be in a normal state, the impedance testing auxiliary electrode Zref is considered to be in a normal state, and if all the load impedance is larger than the preset state threshold, the impedance testing auxiliary electrode Zref is considered to be too high or fall off, or all the electroencephalogram signal testing electrodes Z1-Zn are considered to be too high or fall off.
The invention also provides impedance detection equipment of the electroencephalogram detection device, the impedance detection equipment of the electroencephalogram detection device comprises a memory, a processor and an impedance detection program of the electroencephalogram detection device, wherein the impedance detection program of the electroencephalogram detection device is stored in the memory and can be operated on the processor, and the impedance detection program of the electroencephalogram detection device is used for executing the method in each embodiment of the invention.
The invention also provides a storage medium on which an impedance detection program of the electroencephalogram detection device is stored. The storage medium includes a computer-readable storage medium, which may be the Memory in fig. 1, and may also be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, and an optical disk, where the storage medium includes several instructions to enable an internet of things terminal device (which may be a mobile phone, a computer, a server, an internet of things terminal, or a network device) having a processor to execute the method according to each embodiment of the present invention.
In the present invention, the terms "first", "second", "third", "fourth" and "fifth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance, and those skilled in the art can understand the specific meanings of the above terms in the present invention according to specific situations.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in multiple embodiments or examples of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of various embodiments or examples described in this specification can be combined and combined by one skilled in the art without being mutually inconsistent.
Although the embodiment of the present invention has been shown and described, the scope of the present invention is not limited thereto, it should be understood that the above embodiment is illustrative and not to be construed as limiting the present invention, and that those skilled in the art can make changes, modifications and substitutions to the above embodiment within the scope of the present invention, and that these changes, modifications and substitutions should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The electroencephalogram detection device is characterized by comprising an impedance network, an analog processing unit, an analog-to-digital conversion unit and a digital processing unit; the signal output end of the impedance network is electrically connected with the signal input end of the analog processing unit, the driven end of the impedance network is electrically connected with the driving end of the analog processing unit, the signal output end of the analog processing unit is electrically connected with the signal input end of the analog-to-digital conversion unit, and the signal output end of the analog-to-digital conversion unit is connected with the signal input end of the digital processing unit.
2. The brain electrical detection device of claim 1, further comprising an auxiliary circuit unit connected in series between said impedance network and said analog processing unit.
3. The brain electrical detection device of claim 1, further comprising a power module, said power module comprising at least three positive power supplies and negative power supplies, said positive power supplies being connected to respective nodes of the signal output of said impedance network and the signal input of said analog processing unit, and said negative power supplies being connected to the signal input of said analog processing unit.
4. The electroencephalographic detection device of claim 3, wherein the digital processing unit comprises:
the impedance detection subunit is electrically connected with the signal output end of the analog-to-digital conversion unit and comprises a test signal filter and an impedance calculator which are mutually connected;
and the electroencephalogram signal processing subunit is electrically connected with the signal output end of the analog-to-digital conversion unit and comprises an electroencephalogram signal filter and an electroencephalogram signal processor which are mutually connected.
5. The electroencephalogram detection device according to claim 1, wherein the analog processing unit comprises a filter amplification circuit and a driving circuit, a signal input end of the filter amplification circuit is connected with a signal input end of the impedance network, a signal output end of the filter amplification circuit is connected with a signal input end of the analog-to-digital conversion unit, and a driving end of the driving circuit is connected with a driven end of the impedance network.
6. The electroencephalogram detection device according to claim 5, wherein the impedance network comprises at least two electroencephalogram signal test electrodes, an impedance test auxiliary electrode and a drive auxiliary electrode, the electroencephalogram signal test electrodes are respectively connected with the signal input end of the filtering and amplifying circuit, the impedance test auxiliary electrode is connected with the signal input end of the filtering and amplifying circuit, and the drive auxiliary electrode is connected with the drive end of the drive circuit.
7. The electroencephalogram detection apparatus of claim 6, wherein the positive power supply of the signal corresponds to the electroencephalogram signal testing electrode one to one, and one end of the positive power supply is connected to a node of a signal output end of the electroencephalogram signal testing electrode and a signal input end of the filtering and amplifying circuit.
8. The electroencephalogram detection method based on the electroencephalogram detection device of any one of claims 1 to 7, characterized in that the steps of the impedance detection method of the electroencephalogram detection device comprise:
acquiring a control instruction, and selecting a working mode of the electroencephalogram detection device according to the control instruction;
if the electroencephalogram acquisition mode is selected, acquiring electroencephalogram signals, generating an electroencephalogram signal processing result according to the electroencephalogram signals, acquiring power supply test signals, generating impedance detection signals according to the power supply test signals, and acquiring theoretical contact impedance based on the impedance detection signals.
9. The electroencephalogram detection method of claim 8, wherein the step of obtaining a theoretical contact impedance based on the impedance detection signal comprises:
acquiring the current amplitude and the circuit amplification gain of the positive power supply;
and calculating theoretical contact impedance according to the current amplitude, the circuit amplification gain and the impedance detection signal.
10. A storage medium having stored thereon an impedance detection program for an electroencephalogram detection apparatus, the program when executed by a processor implementing the steps of the electroencephalogram detection apparatus according to any one of claims 8 to 9.
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