Taste sense detection device and method based on electroencephalogram signals

Abstract

The invention discloses a taste sense detection device and method based on electroencephalogram signals, and relates to the technical field of taste sense detection.The device comprises a taste sense stimulation unit, a reference unit, a mouthpart, an electroencephalogram signal acquisition module and a data processing module, and the taste sense stimulation unit comprises a taste sense stimulation liquid bottle and a first pump pipe; the first pump pipe is used for leading out taste stimulation liquid in the taste stimulation liquid bottle, the reference unit comprises a reference liquid bottle and a second pump pipe, the second pump pipe is used for leading out reference liquid in the reference liquid bottle, the mouthpiece comprises a plurality of channels, and each channel is used for being inserted into the first pump pipe or the second pump pipe; the electroencephalogram signal acquisition module is used for acquiring a first electroencephalogram signal when the testee tastes the taste stimulation liquid through the mouthpart; when the testee tastes the reference liquid through the mouthpart, collecting a second electroencephalogram signal; the data processing module is used for generating a taste detection result according to the first electroencephalogram signal and the second electroencephalogram signal. The objectivity of taste detection can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of taste detection, and in particular to a taste detection device and method based on electroencephalogram signals. Background Art

[0002] Current status of taste testing: Taste function testing is of great significance in clinical diagnosis (such as taste disorders and neurological diseases). Related taste testing methods (such as chemical taste recognition tests) are highly subjective and lack objective quantitative indicators. Summary of the invention

[0003] The purpose of this application is to provide a taste detection device and method based on EEG signals, which can improve the objectivity of taste detection.

[0004] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides a taste detection device based on EEG signals, the taste detection device based on EEG signals comprising: a taste stimulation unit, a reference unit, a mouthpiece, an EEG signal acquisition module and a data processing module, the taste stimulation unit comprising a taste stimulation liquid bottle and a first pump tube, the first pump tube being used to guide the taste stimulation liquid in the taste stimulation liquid bottle, the reference unit comprising a reference liquid bottle and a second pump tube, the second pump tube being used to guide the reference liquid in the reference liquid bottle, the mouthpiece comprising a plurality of channels, each channel being used to insert the first pump tube or the second pump tube; the EEG signal acquisition module is communicatively connected to the data processing module; the mouthpiece is used to provide the tester with taste stimulation liquid or reference liquid; The EEG signal acquisition module is used to acquire a first EEG signal when the test subject tastes the taste stimulation liquid through the mouthpart; and to acquire a second EEG signal when the test subject tastes the reference liquid through the mouthpart; The data processing module is used to generate a taste detection result according to the first EEG signal and the second EEG signal.

[0005] Optionally, there are multiple taste stimulation units, and the taste stimulation liquid bottle of each taste stimulation unit contains different taste stimulation liquids.

[0006] Optionally, the taste stimulating liquid includes sweet liquid, sour liquid, bitter liquid and salty liquid.

[0007] Optionally, the taste stimulation liquid is a salty liquid such as 0.6% sodium chloride solution, and the reference liquid is distilled water.

[0008] Optionally, the EEG signal acquisition module includes an EEG cap.

[0009] Optionally, both the first EEG signal and the second EEG signal are EEG signals recorded from a CZ position on the top of the skull.

[0010] Optionally, the data processing module includes a signal preprocessing unit, a waveform extraction unit and a calculation unit; The signal preprocessing unit is used to preprocess the EEG signal; the EEG signal is the first EEG signal or the second EEG signal; The waveform extraction unit is used to extract the set waveform of the first EEG signal after preprocessing to obtain a first set waveform extraction result, and extract the set waveform of the second EEG signal after preprocessing to obtain a second set waveform extraction result; The calculation unit is used to generate a taste detection result according to the first set waveform extraction result and the second set waveform extraction result.

[0011] Optionally, the set waveform includes a P1 waveform, an N1 waveform and a P2 waveform.

[0012] Optionally, the preprocessing includes filtering and denoising; the bandpass frequency range of the filtering is 0.5 Hz to 15 Hz, and the voltage range is -150 μV to +150 μV.

[0013] In a second aspect, the present application provides a taste detection method based on EEG signals, wherein the taste detection method based on EEG signals uses the taste detection device based on EEG signals, and the taste detection based on EEG signals includes: The EEG signal acquisition module acquires the first EEG signal generated when the test subject tastes the taste stimulating liquid through the mouthparts; The EEG signal acquisition module acquires a second EEG signal generated when the test subject tastes the reference liquid through the mouthparts; The data processing module generates a taste detection result according to the first EEG signal and the second EEG signal.

[0014] According to the specific embodiments provided by the present application, the present application discloses the following technical effects: the present application provides a taste detection device and method based on EEG signals. For the taste detection device based on EEG signals, when the tester tastes the taste stimulation liquid through the mouthparts, a first EEG signal is collected; when the tester tastes the reference liquid through the mouthparts, a second EEG signal is collected; and a taste detection result is generated based on the first EEG signal and the second EEG signal, without relying on subjective judgment, thereby realizing the quantification of taste detection and improving the objectivity of taste detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic diagram of the structure of a taste detection device based on EEG signals provided in one embodiment of the present application.

[0017] Figure 2 A schematic diagram of tongue stimulation positions provided in an embodiment of the present application.

[0018] Figure 3 A schematic diagram of a taste evoked potential waveform provided in one embodiment of the present application.

[0019] Figure 4 A schematic diagram of a tester wearing an EEG cap provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0022] In an exemplary embodiment, the present application provides a taste detection device based on EEG signals, such as Figure 1 As shown, the taste detection device based on EEG signals includes: a taste stimulation unit, a reference unit, a mouthpiece, an EEG signal acquisition module and a data processing module, the taste stimulation unit includes a taste stimulation liquid bottle and a first pump tube, the first pump tube is used to export the taste stimulation liquid in the taste stimulation liquid bottle, the reference unit includes a reference liquid bottle and a second pump tube, the second pump tube is used to export the reference liquid in the reference liquid bottle, the mouthpiece includes a plurality of channels, each channel is used to insert the first pump tube or the second pump tube; the EEG signal acquisition module is communicatively connected to the data processing module; the mouthpiece is used to provide taste stimulation liquid or reference liquid to the tester.

[0023] The EEG signal acquisition module is used to acquire a first EEG signal when the test subject tastes the taste stimulation liquid through the mouthparts; and to acquire a second EEG signal when the test subject tastes the reference liquid through the mouthparts.

[0024] The data processing module is used to generate a taste detection result according to the first EEG signal and the second EEG signal.

[0025] The present application discloses a taste detection device based on electroencephalogram (EEG) signals, which is a taste detection device for taste evoked potentials (Gustatory Event-Related Potentials, GERPs). GERPs are a type of EEG activity induced by taste stimulation, which can objectively reflect taste function.

[0026] There are multiple taste stimulation units, and the taste stimulation liquid bottle of each taste stimulation unit contains different taste stimulation liquids. Each liquid bottle is placed on a liquid bottle rack, and each liquid bottle includes multiple taste stimulation liquid bottles and a reference liquid bottle.

[0027] The taste stimulating liquid includes sweet liquid, sour liquid, bitter liquid and salty liquid.

[0028] In another exemplary embodiment, the taste stimulation liquid is a salty liquid of 0.6% sodium chloride solution, and the reference liquid is distilled water, which serves as a blank control. The salty liquid is poured into the oral cavity through the stimulation liquid for 3 seconds; the tester tastes the solution for 5 seconds; then the distilled water is injected into the oral cavity for 3 seconds; the solution is not swallowed, but flows out, and the EEG signals recorded at the central midline (CZ) of the skull are recorded and analyzed to extract taste evoked potentials (GERPs). When the tongue is stimulated with 0.6% sodium chloride solution, the mouthparts are placed in the mouth, such as Figure 2 As shown, the stimulation frequency of the tongue with 0.6% sodium chloride solution was 1 time / 2 seconds and lasted for 3 seconds.

[0029] The present application adopts a taste detection device based on EEG signals, applies physiological saline solution stimulation on the tongue to induce taste-related EEG activity, and uses an EEG signal acquisition module to collect a first EEG signal. The present application adopts a taste detection device based on EEG signals, applies distilled water on the tongue, and uses an EEG signal acquisition module to collect a second EEG signal. The first EEG signal and the second EEG signal are recorded and analyzed to achieve taste detection.

[0030] In an exemplary embodiment, the mouthparts include four channels, wherein channel 1, channel 2, and channel 3 are chemical solution substance channels, i.e., taste stimulation liquid channels, and channel 4 is a distilled water channel, i.e., a reference liquid channel.

[0031] The EEG signal acquisition module includes an EEG cap, such as Figure 4 shown.

[0032] The first EEG signal and the second EEG signal are both EEG signals recorded from the CZ position of the skull. The waveforms of different EEG signals are as follows: Figure 3 As shown, Figure 3 The horizontal axis is time, and the vertical axis is amplitude. The two different EEG signals after stimulation with saline and distilled water are compared by computer software, the EEG signals after stimulation are recorded, and the test result report is generated and output.

[0033] The data processing module includes a signal preprocessing unit, a waveform extraction unit and a calculation unit.

[0034] The signal preprocessing unit is used to preprocess the EEG signal; the EEG signal is the first EEG signal or the second EEG signal.

[0035] The waveform extraction unit is used to extract the set waveform of the first EEG signal after preprocessing to obtain a first set waveform extraction result, and to extract the set waveform of the second EEG signal after preprocessing to obtain a second set waveform extraction result.

[0036] When the taste stimulation liquid is 0.6% sodium chloride solution and the reference liquid is distilled water, the calculation unit is used to generate a taste detection result according to the first set waveform extraction result and the second set waveform extraction result, specifically including: if the first set waveform extraction result is that the first EEG signal after preprocessing has a set waveform and the second set waveform extraction result is that the second EEG signal after preprocessing does not have a set waveform, it indicates that the taste function is normal, otherwise the taste function is abnormal.

[0037] The window time for recording the EEG signal is 0-600ms. The set waveforms include P1 waveform, N1 waveform and P2 waveform. P1 waveform is the first positive peak, N1 waveform is the first negative peak, and P2 waveform is the second positive peak.

[0038] The calculation unit specifically calculates the amplitude and latency of the P1 waveform, N1 waveform and P2 waveform of GERPs to evaluate the taste function. If the set waveform exists, it means that the taste function exists. If the set waveform does not exist, it means that the taste function is impaired or the taste function is not triggered.

[0039] The preprocessing includes filtering, denoising, segmentation, baseline correction and GERPs component extraction; wherein the bandpass frequency range of the filtering is 0.5Hz~15Hz, the voltage range is -150μV to +150μV, and the number of superpositions is 150 times. Segmentation is mainly to segment the time domain (latency) waveform. GERPs component extraction is mainly determined based on the potential amplitude.

[0040] The number of superpositions is the number of times the collected signals are averaged. The number of superpositions of 150 times means that the collected signals are calculated 150 times after the olfactory nerves are excited. Then the computer averages the 150 collected signals. The averaging process is the process of removing noise, filtering, segmenting, correcting and extracting components. After such signal processing, the computer gathers the 150 curves into one line, which is finally presented on the computer user interface (UI). The final waveform curve is obtained after superposition.

[0041] Each test should be repeated at least 2 times, and the repeatable data can be adopted. Stop the test and record the P1 waveform, N1 waveform and P2 waveform.

[0042] In another exemplary embodiment, in the EEG signal acquisition module, the input range of the EEG signal is 200 μV, high pass: 0.5 Hz, low pass: 15 Hz, and impedance ≤ 5 kΩ.

[0043] In another exemplary embodiment, the present application provides a taste detection method based on EEG signals, wherein the taste detection method based on EEG signals applies the taste detection device based on EEG signals, and the taste detection method based on EEG signals includes steps 1 to 3.

[0044] Step 1: The EEG signal acquisition module acquires the first EEG signal generated when the test subject tastes the taste stimulating liquid through the mouthparts.

[0045] Step 2: The EEG signal acquisition module acquires a second EEG signal generated when the test subject tastes the reference liquid through the mouthparts.

[0046] Step 3: The data processing module generates a taste detection result according to the first EEG signal and the second EEG signal.

[0047] This application combines EEG signal analysis technology to achieve objective detection of taste function.

[0048] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0049] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A taste detection device based on EEG signals, characterized in that: The taste detection device based on EEG signals comprises: a taste stimulation unit, a reference unit, a mouthpiece, an EEG signal acquisition module and a data processing module, wherein the taste stimulation unit comprises a taste stimulation liquid bottle and a first pump tube, wherein the first pump tube is used to guide the taste stimulation liquid in the taste stimulation liquid bottle, the reference unit comprises a reference liquid bottle and a second pump tube, wherein the second pump tube is used to guide the reference liquid in the reference liquid bottle, the mouthpiece comprises a plurality of channels, each channel is used to insert the first pump tube or the second pump tube; the EEG signal acquisition module is communicatively connected with the data processing module; the mouthpiece is used to provide the tester with taste stimulation liquid or reference liquid; The EEG signal acquisition module is used to acquire a first EEG signal when the test subject tastes the taste stimulation liquid through the mouthpart; and to acquire a second EEG signal when the test subject tastes the reference liquid through the mouthpart; The data processing module is used to generate a taste detection result according to the first EEG signal and the second EEG signal.

2. The taste detection device based on EEG signals according to claim 1, characterized in that: There are multiple taste stimulation units, and the taste stimulation liquid bottle of each taste stimulation unit contains different taste stimulation liquids.

3. The taste detection device based on EEG signals according to claim 2, characterized in that: The taste stimulating liquid includes sweet liquid, sour liquid, bitter liquid and salty liquid.

4. The taste detection device based on EEG signals according to claim 1, characterized in that: The taste stimulation liquid is a salty liquid of 0.6% sodium chloride solution, and the reference liquid is distilled water.

5. The taste detection device based on EEG signals according to claim 1, characterized in that: The EEG signal acquisition module includes an EEG cap.

6. The taste detection device based on EEG signals according to claim 1, characterized in that: The first EEG signal and the second EEG signal are both EEG signals recorded from the CZ position of the skull top.

7. The taste detection device based on EEG signals according to claim 1, characterized in that: The data processing module includes a signal preprocessing unit, a waveform extraction unit and a calculation unit; The signal preprocessing unit is used to preprocess the EEG signal; the EEG signal is the first EEG signal or the second EEG signal; The waveform extraction unit is used to extract the set waveform of the first EEG signal after preprocessing to obtain a first set waveform extraction result, and extract the set waveform of the second EEG signal after preprocessing to obtain a second set waveform extraction result; The calculation unit is used to generate a taste detection result according to the first set waveform extraction result and the second set waveform extraction result.

8. The taste detection device based on EEG signals according to claim 7, characterized in that: The set waveforms include a P1 waveform, an N1 waveform and a P2 waveform.

9. The taste detection device based on EEG signals according to claim 7, characterized in that: The preprocessing includes filtering and denoising; the bandpass frequency range of the filtering is 0.5 Hz to 15 Hz, and the voltage range is -150 μV to +150 μV.

10. A taste detection method based on EEG signals, characterized in that: The method for taste detection based on EEG signals uses the device for taste detection based on EEG signals according to any one of claims 1 to 9, and the taste detection based on EEG signals includes: The EEG signal acquisition module acquires the first EEG signal generated when the test subject tastes the taste stimulating liquid through the mouthparts; The EEG signal acquisition module acquires a second EEG signal generated when the test subject tastes the reference liquid through the mouthparts; The data processing module generates a taste detection result according to the first EEG signal and the second EEG signal.

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