Electroencephalogram Detection Device, Impedance Detection Method, and Storage Medium

Abstract

The present invention discloses an electroencephalogram detection device, an impedance detection method, and a storage medium. The electroencephalogram detection device includes an impedance network, an analog processing unit, an analog-to-digital conversion unit, and a digital processing unit; a signal output end of the impedance network is electrically connected to a signal input end of the analog processing unit, a driven end of the impedance network is electrically connected to a driving end of the analog processing unit, a signal output end of the analog processing unit is electrically connected to a signal input end of the analog-to-digital conversion unit, and a signal output end of the analog-to-digital conversion unit is connected to a signal input end of the digital processing unit. Through the present application, the stability and reliability of the acquisition and processing results of electroencephalogram signals can be ensured.

Description

Technical Field

[0001] The present invention relates to an electroencephalogram (EEG) detection device for detecting EEG signals in the medical field, and particularly to an EEG detection device, an impedance detection method, and a storage medium. Background Art

[0002] Living human tissue cells always generate very weak bioelectricity. EEG signals are the overall effect of the electrical activities of a large number of brain nerve cells in a highly coherent state on the cerebral cortex. By using electrodes placed on the scalp, the electrical activities of brain cells are led out and amplified by an EEG detection device for analysis and recording. It contains certain waveforms, amplitudes, frequencies, and phases and is variable, which is the analysis of electroencephalogram. When there are functional changes in brain tissue, this waveform curve will change accordingly, thus providing a basis for clinical diagnosis and treatment.

[0003] Since EEG signals themselves are very weak, various external factors will inevitably cause artifacts and noise during the measurement process, which affect the quality of EEG signals. Interference caused by poor contact between electrodes and the scalp, power frequency interference, and amplifier channel noise are the three most influential interference sources in EEG detection. Some traditional EEG detection devices do not have the function of monitoring the electrode connection status, and some can only partially measure the connection status of lead electrodes and cannot measure all lead electrodes. Summary of the Invention

[0004] The present invention provides an EEG detection device, an impedance detection method, and a storage medium, aiming to solve the technical problem of unstable processing results of EEG signals.

[0005] To achieve the above object, the present invention provides an EEG detection device, which includes an impedance network, an analog processing unit, 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 to the signal input end of the analog processing unit, the driven end of the impedance network is electrically connected to the driving end of the analog processing unit, the signal output end of the analog processing unit is electrically connected to the signal input end of the analog-to-digital conversion unit, the signal output end of the analog-to-digital conversion unit is connected to the signal input end of the digital processing unit, the analog processing unit is connected in series between the signal output end of the impedance network and the signal input end of the analog processing unit, and the controlled end of the analog processing unit is electrically connected to the control end of the digital processing unit.

[0006] Further, the EEG detection device further includes an auxiliary circuit unit, and the auxiliary circuit unit is connected in series between the impedance network and the analog processing unit.

[0007] Optionally, the EEG detection device further includes a power supply module, and the power supply module includes:

[0008] A positive power supply, which is a constant current source, is connected to the analog processing unit;

[0009] A negative power supply, which is a constant current source, is connected to the analog processing unit.

[0010] Further, the digital processing unit includes:

[0011] A switch control sub-unit, which is electrically connected to the controlled end of the analog processing unit;

[0012] An impedance detection sub-unit, which is electrically connected to the signal output end of the analog-to-digital conversion unit and includes a test signal filter and an impedance calculator connected to each other;

[0013] An electroencephalogram (EEG) signal processing sub-unit, which is electrically connected to the signal output end of the analog-to-digital conversion unit and includes an EEG signal filter and an EEG signal processor connected to each other.

[0014] Specifically, the analog processing unit includes a filter amplification circuit and a drive circuit. The signal input end of the filter amplification circuit is connected to the signal input end of the impedance network, the signal output end of the filter amplification circuit is connected to the signal input end of the analog-to-digital conversion unit, and the drive end of the drive circuit is connected to the driven end of the impedance network.

[0015] Specifically, the impedance network includes at least two EEG signal test electrodes, an impedance test auxiliary electrode, and a drive auxiliary electrode. The EEG signal test electrodes are respectively connected to the signal input end of the filter amplification circuit, the impedance test auxiliary electrode is connected to the signal input end of the filter amplification circuit, and the drive auxiliary electrode is connected to the drive end of the drive circuit.

[0016] Further, the analog processing unit includes at least two groups of signal test switches. The signal test switches correspond to the EEG signal test electrodes one by one. The signal test switches include a first signal test switch and a second signal test switch. One end of the first signal test switch is connected to the signal output end of the EEG signal test electrode, and the other end of the first signal test switch is connected to the positive power supply; one end of the second signal test switch is connected to the signal output end of the EEG signal test electrode, and the other end of the second signal test switch is connected to the negative power supply.

[0017] To achieve the above object, the present application also proposes an impedance detection method for an EEG detection device. The steps of the impedance detection method for the EEG detection device include:

[0018] If in the EEG acquisition mode, acquire EEG signals and generate an EEG signal processing result according to the EEG signals;

[0019] If in the impedance detection mode, obtain a power supply test signal, generate an impedance detection signal based on the power supply test signal, and obtain a theoretical contact impedance based on the impedance detection signal.

[0020] Optionally, obtain the current amplitude of the current source and the circuit amplification gain;

[0021] Calculate the theoretical contact impedance according to the current amplitude, the circuit amplification gain, and the impedance detection signal.

[0022] To achieve the above object, the present application also provides a storage medium, on which an impedance detection program for an electroencephalogram detection device is stored. When the impedance detection program of the electroencephalogram detection device is executed by a processor, the electroencephalogram detection device is implemented.

[0023] In the present application, an electroencephalogram detection device is provided. Since the electroencephalogram detection device includes an impedance network, an analog processing unit, an analog processing unit, an analog-to-digital conversion unit, and a digital processing unit that are interconnected, the electroencephalogram detection device can complete the processing of electroencephalogram signals and the detection of the internal impedance of the device, thereby ensuring the stability and reliability of the results of the acquisition and processing of electroencephalogram signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0025] Figure 1 Schematic diagram of the module structure of an electroencephalogram detection device according to an embodiment of the present invention;

[0026] Figure 2 Schematic diagram of the module structure of an electroencephalogram detection device according to another embodiment of the present invention;

[0027] Figure 3 Schematic diagram of the module structure of an electroencephalogram detection device according to still another embodiment of the present invention;

[0028] Figure 4 Schematic diagram of the module structure of an electroencephalogram detection device according to yet another embodiment of the present invention;

[0029] Figure 5 Flowchart of the impedance detection method of an electroencephalogram detection device according to an embodiment of the present invention;

[0030] Figure 6 Schematic diagram of the circuit of an electroencephalogram detection device according to an embodiment of the present invention.

[0031] Explanation of the reference numerals in the drawings:

[0032]

[0033]

[0034] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0036] It should be noted that all directional indications (such as up, down, left, right, front, back,...) in the embodiments of the present invention are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly.

[0037] In addition, the descriptions such as "first" and "second" in the present invention are only for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0038] In the present invention, unless otherwise clearly defined and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the internal connection of two components or the interaction relationship between two components, unless otherwise clearly limited. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0039] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0040] Based on the above hardware structure, various embodiments of the method of the present invention are proposed.

[0041] Living human tissue cells always generate very weak bioelectricity. The electroencephalogram (EEG) signal is the overall effect of the electrical activities of a large number of brain nerve cells in a highly coherent state on the cerebral cortex. The electrical activities of brain cells are led out by electrodes placed on the scalp and amplified by an EEG detection device for analysis and recording. It contains certain waveforms, amplitudes, frequencies, and phases and is variable, which is the EEG analysis. When the brain tissue undergoes functional changes, this waveform curve will change accordingly, thus providing a basis for clinical diagnosis and treatment.

[0042] Since the EEG signal itself is very weak, there will inevitably be various artifacts and noises caused by external factors during the measurement process, which affect the quality of the EEG signal. The interference caused by poor contact between the electrode and the scalp, power frequency interference, and amplifier channel noise are the three most influential interference sources in EEG detection. Some traditional EEG detection devices do not have the function of monitoring the electrode connection status, and some can only partially measure the connection status of lead electrodes and cannot measure all the lead electrodes.

[0043] To solve the above problems, the present application proposes an EEG detection device. Referring to Figure 2 , in the first embodiment of the EEG detection device of the present invention, the EEG detection device includes: 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 to the signal input end of the analog processing unit 2, the driven end of the impedance network 1 is electrically connected to the driving end of the analog processing unit 2, the signal output end of the analog processing unit is electrically connected to 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 to 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 to the control end of the digital processing unit 4.

[0044] In this embodiment, the EEG detection device includes: an impedance network 1, an analog processing unit, an analog processing unit 2, an analog-to-digital conversion unit 3, and a digital processing unit 4. Among them, the impedance network 1 includes at least four lead electrodes for collecting the EEG signals of brain cells on the scalp. The EEG signal is the overall effect of the electrical activities of a large number of brain nerve cells in a highly coherent state on the cerebral cortex.

[0045] The signal output terminal of the impedance network 1 is electrically connected to the signal input terminal of the analog processing unit 2. After the impedance network 1 acquires the electroencephalogram (EEG) signal, the EEG signal is transmitted to the analog processing unit 2, and the analog processing unit 2 is used to perform processing such as filtering and amplifying the EEG signal. In addition, the driving end of the analog processing unit 2 is connected to the driven end of the impedance network 1 to maintain the traceability of the EEG signal.

[0046] The signal output terminal of the analog processing unit is electrically connected to the signal input terminal of the analog-to-digital conversion unit 3. After the EEG signal is filtered and amplified, it enters the analog-to-digital conversion unit 3, and the analog-to-digital conversion unit 3 performs digital quantization and encoding on the EEG signal. In one embodiment, the analog processing unit is a plurality of identical triodes.

[0047] The signal output terminal of the analog-to-digital conversion unit 3 is further connected to the signal input terminal of the digital processing unit 4. The analog-to-digital conversion unit 3 inputs the EEG signal after digital quantization and encoding into the digital processing unit 4, and the digital processing unit 4 can perform signal processing on the EEG signal to obtain the waveform of the electroencephalogram. In one embodiment, the analog-to-digital conversion unit 3 is an AD converter.

[0048] In addition, the analog processing unit is connected in series between the signal output terminal of the impedance network 1 and the signal input terminal of the analog processing unit 2 to control the start and stop of the EEG signal detection process.

[0049] The present application provides an EEG detection device, which includes an interconnected impedance network 1, an analog processing unit, an analog processing unit 2, an analog-to-digital conversion unit 3, and a digital processing unit 4. Through the above EEG detection device, the processing of EEG signals and the detection of the internal impedance of the device can be completed, thereby ensuring the stability and reliability of the results of the acquisition and processing of EEG signals.

[0050] In one embodiment, the EEG detection device 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.

[0051] In this embodiment, the auxiliary circuit unit 5 is connected in series between the impedance network 1 and the analog processing unit 2. Before the impedance network 1 transmits the acquired EEG signal to the analog processing unit 2, the EEG signal will first be transmitted to the auxiliary circuit unit 5, and the auxiliary circuit unit 5 is used for defibrillation and ESD defibrillation, that is, to limit the harmful large signals in the EEG signal, and then transmit the EEG signal to the analog processing unit 2.

[0052] In one embodiment, the electroencephalogram (EEG) detection device further includes a power supply module 6, and the power supply module 6 includes at least three positive power supplies I1-In and a negative power supply I0. The positive power supplies I1-In are respectively connected to the nodes between the signal output ends of the impedance network 1 and the signal input ends of the analog processing unit 2, and the negative power supply I0 is connected to the signal input end of the analog processing unit 2.

[0053] The EEG detection device further includes a power supply module 6. In this embodiment, the power supply module 6 includes at least three positive power supplies I1-In and a negative power supply I0, and both the positive power supplies I1-In and the negative power supply I0 are current sources. In addition, there is at least one working mode in the EEG detection device of the present application, that is, the EEG signal acquisition mode. In this EEG signal acquisition mode, the contact impedance of each lead electrode to the scalp can also be collected simultaneously.

[0054] In one embodiment, the digital processing unit 4 includes:

[0055] A switch control sub-unit, electrically connected to the controlled end of the analog processing unit 2;

[0056] An impedance detection sub-unit 51, electrically connected to the signal output end of the analog-to-digital conversion unit 3, and includes a test signal filter and an impedance calculator connected to each other;

[0057] An EEG signal processing sub-unit 52, electrically connected to the signal output end of the analog-to-digital conversion unit 3, and includes an EEG signal filter and an EEG signal processor connected to each other.

[0058] In this embodiment, the digital processing unit 4 respectively includes a switch control sub-unit, an impedance detection sub-unit 51, and an EEG signal processing sub-unit 52. Among them, the control end of the switch control sub-unit is electrically connected to the controlled end of the analog processing unit 2, and is used to control the opening and closing of each switch in the analog processing unit 2; the signal input end of the impedance detection sub-unit 51 is electrically connected to the signal output end of the analog-to-digital conversion unit 3, and is used to receive the impedance test signal output by the analog-to-digital conversion unit 3, filter out the EEG signal through the test signal filter, and then calculate the theoretical contact impedance of each lead electrode through the impedance calculator.

[0059] The EEG signal processing sub-unit 52 is electrically connected to the signal output end of the analog-to-digital conversion unit 3, and is used to receive the EEG signal output by the analog-to-digital conversion unit 3, filter out the impedance test signal through the EEG signal filter, and then perform final processing on the EEG signal through the EEG signal processor.

[0060] In one embodiment, the analog processing unit 2 includes a filter amplification circuit 31 and a drive circuit 32. The signal input end of the filter amplification circuit 31 is connected to the signal input end of the impedance network 1, the signal output end of the filter amplification circuit 31 is connected to the signal input end of the analog-to-digital conversion unit 3, and the drive end of the drive circuit 32 is connected to the driven end of the impedance network 1.

[0061] In this embodiment, the analog processing unit 2 includes a filter amplification circuit 31 and a drive circuit 32. The signal input end of the filter amplification circuit 31 is connected to the signal output end of the impedance network 1, and the signal output end of the filter amplification circuit 31 is connected to the signal input end of the analog-to-digital conversion unit 3, which is used to filter and amplify the impedance test signal and the electroencephalogram signal. The drive end of the drive circuit 32 is connected to the driven end of the impedance network 1. Whether in the electroencephalogram acquisition mode or the impedance test mode, the drive circuit 32 can extract the slow-changing wave in the electroencephalogram signal, and the slow-changing wave reaches the user's scalp through the impedance module, and negatively feedbacks to the scalp to cancel the static voltage fluctuation on the scalp, so as to compress the dynamic range of the electroencephalogram signal to match the signal input range of the analog processing unit 2, so as to maintain the traceability of the electroencephalogram signal.

[0062] In one embodiment, the impedance network 1 includes at least two electroencephalogram signal test electrodes Z1-Zn, an impedance test auxiliary electrode Zref, and a drive auxiliary electrode Zgnd. The electroencephalogram signal test electrodes Z1-Zn are respectively connected to the signal input end of the filter amplification circuit 31, the impedance test auxiliary electrode Zref is connected to the signal input end of the filter amplification circuit 31, and the drive auxiliary electrode Zgnd is connected to the drive end of the drive circuit 32.

[0063] In this embodiment, the impedance network 1 includes at least two electroencephalogram signal test electrodes Z1-Zn, at least one impedance test auxiliary electrode Zref, and at least one drive auxiliary electrode Zgnd. The electroencephalogram signal test electrodes Z1-Zn are respectively connected to the signal input end of the filter amplification circuit 31, the impedance test auxiliary electrode Zref is connected to the signal input end of the filter amplification circuit 31, and the drive auxiliary electrode Zgnd is connected to the drive end of the drive circuit 32. Among them, the electroencephalogram signal test electrodes Z1-Zn are used to collect electroencephalogram signals, the impedance test auxiliary electrode Zref is used to perform impedance tests, and the drive auxiliary electrode Zgnd is used to assist the drive circuit 32 to maintain the traceability of electroencephalogram signals.

[0064] In one embodiment, the signal positive power supplies I1-In correspond to the electroencephalogram signal test electrodes Z1-Zn one by one, and one end of the positive power supplies I1-In is connected to the node of the signal output end of the electroencephalogram signal test electrodes Z1-Zn and the signal input end of the filter amplification circuit 31.

[0065] The present invention also provides an impedance detection method for an electroencephalogram (EEG) detection device. The steps of the impedance detection method for the EEG detection device include:

[0066] Step S100: Obtain a control instruction and select an operating mode of the EEG detection device according to the control instruction.

[0067] Step S200: If the EEG acquisition mode is selected, acquire an EEG signal, generate an EEG signal processing result according to the EEG signal, obtain a power supply test signal, generate an impedance detection signal according to the power supply test signal, and obtain a theoretical contact impedance based on the impedance detection signal.

[0068] In the present application, in the EEG acquisition mode, at least two EEG signal test electrodes Z1-Zn in the impedance network 1 are placed on the scalp of a user, and the EEG signals on the scalp of the person are respectively acquired. The EEG signals can reach the analog processing unit and the auxiliary circuit unit 5 simultaneously. In the EEG acquisition mode, all switches in the analog processing unit are turned off. Therefore, the power supply module 6 will not affect the EEG acquisition. The auxiliary circuit unit 5 limits the harmful large signals in the EEG signals, and then the EEG signals enter the analog processing unit 2. The analog processing unit 2 filters and amplifies the EEG signals. The amplified EEG signals enter the analog-to-digital conversion unit 3 to be converted from analog signals to digital signals. The converted EEG signals enter the digital processing unit 4 to obtain an EEG signal processing result. Among them, the EEG signal processing result can be an electroencephalogram in the form of a curve graph or a record in the form of text.

[0069] In one embodiment, the step of obtaining the theoretical contact impedance based on the impedance detection signal includes:

[0070] Obtain the current amplitudes of the positive power supplies I1-In and the circuit amplification gain;

[0071] Calculate the theoretical contact impedance according to the current amplitude, the circuit amplification gain, and the impedance detection signal.

[0072] In this embodiment, taking Figure 6 as an example, since the positive power supplies I1-In and the negative power supply I0 are both constant current sources, the current amplitude of the constant current source can be set as I. Then the amplitudes of the impedance detection signals received by the digital processing unit 4 can be U1, U2......U n-1 , U n .

[0073] Then the following system of equations can be listed:

[0074]

[0075] Among them, Z1, Z2, Z3.......Z n , Z ref , Z gnd are the theoretical contact impedances corresponding to each lead electrode respectively. Z1, Z2, Z3.......Z n is the theoretical contact impedance of the electroencephalogram signal test electrode Z1--Zn. Z ref is the theoretical contact impedance of the impedance test auxiliary electrode Zref. Z gnd is the theoretical contact impedance of the drive auxiliary electrode Zgnd. And Z 1r , Z 2r. .....Z nr are the composite impedances corresponding to each electroencephalogram signal test electrode Z1--Zn respectively.

[0076] Specifically: Z 1r = Z1 + Z ref ; Z 2r = Z2 + Z ref .......Z nr = Z n + Z ref .

[0077] g is the circuit amplification gain of the analog processing unit 2. When I, g, U1, U2......U n-1 , U n are all known quantities, the composite impedance and the theoretical contact impedance of each electroencephalogram signal test electrode Z1--Zn can be calculated. After obtaining the composite impedances of each electroencephalogram signal test electrode Z1--Zn, these composite impedances can be compared with the preset state threshold. If all the composite impedances are less than or equal to the preset state threshold, then it is considered that all the electroencephalogram signal test electrodes Z1--Zn corresponding to the composite impedance and the impedance test auxiliary electrode Zref are in a normal state; if some of the composite impedances are less than or equal to the preset state threshold, then it is considered that the electroencephalogram signal test electrodes Z1--Zn corresponding to the composite impedance are in a normal state, and the impedance test auxiliary electrode Zref is in a normal state. If all the load impedances are greater than the preset state threshold, it is considered that the impedance of the impedance test auxiliary electrode Zref is too high or detached, or the impedances of all the electroencephalogram signal test electrodes Z1--Zn are too high or detached.

[0078] The present invention also provides an impedance detection device for an electroencephalogram detection device. The impedance detection device for an electroencephalogram detection device includes a memory, a processor, and an impedance detection program for an electroencephalogram detection device stored on the memory and executable on the processor. The impedance detection program for an electroencephalogram detection device is used to execute the methods described in various embodiments of the present invention.

[0079] The present invention also provides a storage medium, on which an impedance detection program for an electroencephalogram detection device is stored. The storage medium includes a computer-readable storage medium, and the computer-readable storage medium may be Figure 1 the memory in, or may be at least one of ROM (Read-Only Memory), RAM (Random Access Memory), magnetic disk, and optical disc. The storage medium includes several instructions for causing an Internet of Things terminal device having a processor (which may be a mobile phone, a computer, a server, an Internet of Things terminal, or a network device, etc.) to execute the methods described in various embodiments of the present invention.

[0080] In the present invention, the terms "first", "second", "third", "fourth", and "fifth" are only used for the purpose of description and cannot be construed as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0081] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in multiple embodiments or examples of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0082] Although the embodiments of the present invention have been shown and described above, the scope of protection of the present invention is not limited thereto. It can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, and substitutions to the above embodiments within the scope of the present invention, and these changes, modifications, and substitutions should all be covered by the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. An electroencephalogram detection device, characterized in that, The electroencephalogram (EEG) detection device includes an impedance network, an analog processing unit, an analog-to-digital conversion unit, and a digital processing unit; a signal output end of the impedance network is electrically connected to a signal input end of the analog processing unit, a driven end of the impedance network is electrically connected to a driving end of the analog processing unit, a signal output end of the analog processing unit is electrically connected to a signal input end of the analog-to-digital conversion unit, a signal output end of the analog-to-digital conversion unit is connected to a signal input end of the digital processing unit, and the analog processing unit is used to control the start and stop of the EEG detection process; The driving end is used to generate a negative feedback signal according to a slow change wave of the driven end, and adjust an output signal range of the impedance network through the negative feedback signal to match an input signal range of the driving end; The EEG detection device further includes a power supply module, and the power supply module includes at least three positive power supplies and a negative power supply. The positive power supplies are respectively connected to a node between the signal output end of the impedance network and the signal input end of the analog processing unit, and the negative power supply is connected to the signal input end of the analog processing unit.

2. The electroencephalogram detection device as described in claim 1, wherein The EEG detection device further includes an auxiliary circuit unit, and the auxiliary circuit unit is connected in series between the impedance network and the analog processing unit.

3. The electroencephalogram detection device according to claim 1, characterized in that The digital processing unit includes: An impedance detection sub-unit, electrically connected to a signal output end of the analog-to-digital conversion unit, and includes a test signal filter and an impedance calculator connected to each other; An EEG signal processing sub-unit, electrically connected to a signal output end of the analog-to-digital conversion unit, and includes an EEG signal filter and an EEG signal processor connected to each other.

4. The electroencephalogram detection device according to claim 1, wherein The analog processing unit includes a filtering and amplifying circuit and a driving circuit. A signal input end of the filtering and amplifying circuit is connected to a signal input end of the impedance network, a signal output end of the filtering and amplifying circuit is connected to a signal input end of the analog-to-digital conversion unit, and a driving end of the driving circuit is connected to a driven end of the impedance network.

5. The electroencephalogram detection device according to claim 4, characterized in that, The impedance network includes at least two EEG signal test electrodes, an impedance test auxiliary electrode, and a driving auxiliary electrode. The EEG signal test electrodes are respectively connected to a signal input end of the filtering and amplifying circuit, the impedance test auxiliary electrode is connected to the signal input end of the filtering and amplifying circuit, and the driving auxiliary electrode is connected to a driving end of the driving circuit.

6. The electroencephalogram detection device according to claim 5, wherein The positive power supplies correspond to the EEG signal test electrodes one by one, and one end of the positive power supply is connected to a node between the signal output end of the EEG signal test electrode and the signal input end of the filtering and amplifying circuit.

7. An impedance detection method for an electroencephalogram detection device according to any one of claims 1 to 6, characterized in that, Steps of the impedance detection method of the EEG detection device include: Obtain a control instruction, and select an operating mode of the EEG detection device according to the control instruction; If the EEG acquisition mode is selected, then acquire an EEG signal, generate an EEG signal processing result according to the EEG signal, acquire a power supply test signal, generate an impedance detection signal according to the power supply test signal, and obtain a theoretical contact impedance based on the impedance detection signal.

8. The impedance detection method of the electroencephalogram detection device according to claim 7, characterized in that The step of obtaining the theoretical contact impedance based on the impedance detection signal includes: Obtain the current amplitude of the positive power supply and the circuit amplification gain; Calculate a theoretical contact impedance based on the current amplitude, the circuit amplification gain, and the impedance detection signal.

9. A storage medium, characterized in that, An impedance detection program of an electroencephalogram detection device is stored on the storage medium. When the impedance detection program of the electroencephalogram detection device is executed by a processor, the steps of the impedance detection method of the electroencephalogram detection device according to any one of claims 7 to 8 are implemented.

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