A detection system for judging brain emotional processing function by using emotional music

Abstract

This invention discloses a detection system for assessing the brain's emotional processing function using emotional music, comprising a sound playback unit, electrodes, a signal acquisition unit, a signal processing and display unit, and an analysis and judgment unit. The sound playback unit repeatedly plays stimulating sounds to stimulate the brain's auditory system, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds. The electrodes transmit these multiple EEG signals. The signal acquisition unit acquires these multiple EEG signals and converts them into corresponding multiple EEG waveforms, which are then sent to the signal processing and display unit. The signal processing and display unit receives the multiple EEG waveforms from the signal acquisition unit and sequentially amplifies, superimposes, filters, and corrects them to obtain a corrected waveform, which is then displayed. The analysis and judgment unit analyzes and judges whether the brain's emotional processing function is normal based on the corrected waveform.

Description

Technical Field

[0001] This invention belongs to the field of event-related potential technology, specifically relating to a detection system that uses emotional music to determine the brain's emotional processing function. Background Technology

[0002] Auditory event-related potential (ERP) technology is typically used to explore the brain's response to a series of short sound stimuli, thereby assessing higher brain functions such as state of consciousness, cognitive level, and language and speech functions. It rarely uses longer, more varied musical sequences as stimuli to detect emotional processing. For detecting emotional processing, visual event-related potential (ERP) technology, such as facial expression recognition, is often used. However, considering the generally poor cooperation of individuals with emotional disorders (such as children with autism), using visual stimulus paradigms is more challenging. In contrast, emotional music recognition can be performed passively, providing a more comprehensive, targeted, and user-friendly detection system.

[0003] Emotion recognition is not only an important psychological ability and social skill, but also a necessary prerequisite for individuals to participate in social communication and interaction. Individuals with mood disorders often exhibit difficulty in inferring their own or others' psychological states, and are unable to integrate, process, and interpret emotional information, thus affecting their communication and social interaction abilities. Early detection and intervention, along with targeted clinical music therapy and music-based behavioral correction, can promote prosocial behavior and help individuals overcome social isolation.

[0004] Patent number CN201711403499.0 discloses a control method, device, and system for analyzing children's EEG emotions. By collecting children's EEG signals, performing data preprocessing, and determining the child's emotional index in each environment, the patent identifies the emotional state of different children in each environment. This patent can quickly and effectively identify children's emotional states in different environments. However, the emotional states identified by this method are only applicable to the selected experimental environment and have poor stability, easily affected by changes in the objective environment. It is better to directly detect the emotional processing function at its root. Summary of the Invention

[0005] The purpose of this invention is to provide a detection system that uses emotional music to determine the brain's emotional processing function. This system can directly detect the brain's emotional processing function by playing emotional music to the brain. This detection system eliminates interference from the objective environment and has strong stability.

[0006] To achieve the above-mentioned objectives, the technical solution adopted by the present invention is as follows:

[0007] A detection system that uses emotional music to determine the brain's emotional processing function includes a sound playback unit, electrodes, a signal acquisition unit, a signal processing and display unit, and an analysis and judgment unit.

[0008] The sound playback unit is used to play stimulating sounds multiple times to stimulate the auditory system of the brain, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds.

[0009] The electrodes are used to transmit the plurality of electroencephalogram (EEG) signals;

[0010] The signal acquisition unit is used to acquire the multiple EEG signals and convert them into multiple corresponding EEG waveforms, which are then sent to the signal processing and display unit.

[0011] The signal processing and display unit is used to receive the multiple EEG waveforms from the signal acquisition unit, and to amplify, superimpose, filter, and correct the multiple EEG waveforms in sequence to obtain a corrected waveform and display it.

[0012] The analysis and judgment unit is used to analyze and judge whether the brain's emotional processing function is normal based on the correction waveform.

[0013] This detection system stimulates the brain's auditory system by repeatedly playing stimulating sounds, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds. These multiple EEG signals are then sequentially acquired, amplified, superimposed, filtered, and corrected. The corrected waveforms are then displayed for further analysis to determine whether the brain's emotional processing function is normal. This detection system eliminates interference from the objective environment and is highly stable.

[0014] Preferably, the sound playback unit includes a sound player; the signal acquisition unit includes a signal collector; the signal processing and display unit includes an amplifier, a computer, and a monitor; and the stimulating sounds include first emotional music, second emotional music, and third emotional music.

[0015] Preferably, the detection system includes a detection method that uses emotional music to assess the brain's emotional processing function; the detection method includes the following steps:

[0016] Step S1. The sound player plays stimulating sounds to the brain multiple times, and the brain generates multiple brain electrical signals corresponding to the stimulating sounds;

[0017] Step S2. The signal acquisition device acquires multiple EEG signals from the brain and converts them into multiple corresponding EEG waveforms, which are then sent to the amplifier.

[0018] Step S3. The amplifier receives and amplifies multiple EEG waveforms from the signal acquisition unit, generates multiple amplified waveforms, and sends them to the computer;

[0019] Step S4. The computer superimposes, filters, and corrects multiple amplified waveforms in sequence to obtain a corrected waveform, which is then displayed on the monitor.

[0020] Step S5. Analyze and determine whether the brain's emotional processing function is normal based on the correction waveform displayed on the monitor.

[0021] Preferably, step S1 includes the following steps:

[0022] Step S1.1. The sound player plays the first emotional music, the second emotional music, and the third emotional music to the brain multiple times respectively;

[0023] Step S1.2. The brain generates multiple first EEG signals corresponding to the first emotional music; the brain generates multiple second EEG signals corresponding to the second emotional music; the brain generates multiple third EEG signals corresponding to the third emotional music.

[0024] Preferably, steps S2 and S3 include the following steps:

[0025] Step S2.1. The signal acquisition device acquires multiple first EEG signals from the brain; the signal acquisition device acquires multiple second EEG signals from the brain; the signal acquisition device acquires multiple third EEG signals from the brain;

[0026] Step S2.2. The signal acquisition device converts multiple first EEG signals into multiple corresponding first EEG waveforms and sends them to the amplifier; the signal acquisition device converts multiple second EEG signals into multiple corresponding second EEG waveforms and sends them to the amplifier; the signal acquisition device converts multiple third EEG signals into multiple corresponding third EEG waveforms and sends them to the amplifier.

[0027] Step S3.1. The amplifier amplifies multiple first EEG waveforms to obtain multiple first amplified waveforms and sends them to the computer; the amplifier amplifies multiple second EEG waveforms to obtain multiple second amplified waveforms and sends them to the computer; the amplifier amplifies multiple third EEG waveforms to obtain multiple third amplified waveforms and sends them to the computer.

[0028] Preferably, the duration of the first emotional music is at least 3 seconds, the playback interval is at least 2 seconds, and the number of playbacks is at least 30; the duration of the second emotional music is at least 3 seconds, the playback interval is at least 2 seconds, and the number of playbacks is at least 30; and the duration of the third emotional music is at least 3 seconds, the playback interval is at least 2 seconds, and the number of playbacks is at least 30.

[0029] Preferably, step S4 includes the following steps:

[0030] Step S4.1. The computer superimposes multiple first amplified waveforms to obtain a first superimposed wave; the computer superimposes multiple second amplified waveforms to obtain a second superimposed wave; the computer superimposes multiple third amplified waveforms to obtain a third superimposed wave;

[0031] Step S4.2. The computer performs a post-filter of 1-35Hz on the first superimposed wave to obtain the first filtered waveform; the computer performs a post-filter of 1-35Hz on the second superimposed wave to obtain the second filtered waveform; the computer performs a post-filter of 1-35Hz on the third superimposed wave to obtain the third filtered waveform.

[0032] The superposition range of the first amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the first emotional music to 500ms after the input of the first emotional music;

[0033] The superposition range of the second amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the second emotional music to 500ms after the input of the second emotional music;

[0034] The superposition range of the third amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the third emotional music to 500ms after the input of the third emotional music.

[0035] Preferably, step S4 further includes the following steps:

[0036] Step S4.3. The computer selects the average amplitude of the first filtered waveform within a time window of -300ms to 0ms as the first baseline and performs baseline correction on the first filtered waveform to obtain the first corrected waveform; the computer selects the average amplitude of the second filtered waveform within a time window of -300ms to 0ms as the second baseline and performs baseline correction on the second filtered waveform to obtain the second corrected waveform; the computer selects the average amplitude of the third filtered waveform within a time window of -300ms to 0ms as the third baseline and performs baseline correction on the third filtered waveform to obtain the third corrected waveform.

[0037] Step S4.4. The display shows the first correction waveform, the second correction waveform, and the third correction waveform.

[0038] Preferably, step S5 further includes the following steps:

[0039] Step S5.1. Observe whether the first correction waveform, the second correction waveform, and the second correction waveform all have peaks within the time window of 100ms to 300ms. If yes, proceed to step S5.3; if no, proceed to step S5.2.

[0040] Step S5.2. Determine that the brain's emotional processing function is abnormal;

[0041] Step S5.3. Record the amplitude of the peak of the first corrected waveform within the time window of 100ms to 300ms as P2H; record the amplitude of the peak of the second corrected waveform within the time window of 100ms to 300ms as P2S; record the amplitude of the peak of the third corrected waveform within the time window of 100ms to 300ms as P2N;

[0042] Step S5.4. Analyze the relationship between P2H, P2S, and P2N to determine whether the brain's emotional processing function is normal.

[0043] Preferably, step S5.4 includes the following determination step:

[0044] Step S5.4.1. Determine whether P2H > P2S and P2S > P2N. If yes, proceed to step S5.4.3; otherwise, proceed to step S5.4.2.

[0045] Step S5.4.2. Determine that the brain's emotional processing function is abnormal;

[0046] Step S5.4.3. Calculate whether P2H-P2N≥8.5μV. If yes, the brain's emotional processing function is normal; if no, the brain's emotional processing function is abnormal.

[0047] Beneficial effects:

[0048] This invention discloses a detection system for assessing the brain's emotional processing function using emotional music. It stimulates the brain's auditory system by repeatedly playing stimulating sounds, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds. These multiple EEG signals are then sequentially acquired, amplified, superimposed, filtered, and corrected. The corrected waveforms are then displayed for further analysis to determine whether the brain's emotional processing function is normal. This detection system eliminates interference from the objective environment and exhibits high stability. Attached Figure Description

[0049] Figure 1 The diagram shown is a structural diagram of a detection system that uses emotional music to determine the brain's emotional processing function, according to Embodiment 1.

[0050] Figure 2 The diagram shown is the overall flowchart of the detection method for judging the brain's emotional processing function using emotional music in Example 1.

[0051] Figure 3 As shown Figure 2 The first sub-flowchart;

[0052] Figure 4 As shown Figure 2 The second sub-flowchart;

[0053] Figure 5 As shown Figure 2 The third sub-flowchart;

[0054] Figure 6 As shown Figure 2 The fourth sub-flowchart;

[0055] Figure 7 As shown Figure 2 The fifth sub-flowchart;

[0056] Figure 8 The image shown is a waveform diagram of a detection system that uses emotional music to determine the brain's emotional processing function, according to Embodiment 1.

[0057] Figure 9 The image shown is a waveform diagram of a detection system for judging the brain's emotional processing function using emotional music, according to Embodiment 2.

[0058] Figure 10 The image shown is a waveform diagram of a detection system for judging the brain's emotional processing function using emotional music, according to Example 3.

[0059] Figure 11 The image shown is a waveform diagram of a detection system for judging the brain's emotional processing function using emotional music, according to Example 4.

[0060] Figure Labels

[0061] 100, First correction waveform; 200, Second correction waveform; 300, Third correction waveform; 400, Fourth correction waveform. Detailed Implementation

[0062] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings and other implementation methods can be obtained based on these drawings without any creative effort.

[0063] The technical solution of the present invention will be described in detail below with specific embodiments.

[0064] Example 1

[0065] like Figures 1-7 As shown, a detection system that uses emotional music to determine the brain's emotional processing function includes a sound playback unit, electrodes, a signal acquisition unit, a signal processing and display unit, and an analysis and judgment unit.

[0066] The sound playback unit is used to play stimulating sounds multiple times to stimulate the brain's auditory system, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds.

[0067] Electrodes are used to transmit multiple brainwave signals;

[0068] The signal acquisition unit is used to acquire multiple EEG signals and convert them into corresponding multiple EEG waveforms, which are then sent to the signal processing and display unit.

[0069] The signal processing and display unit is used to receive multiple EEG waveforms from the signal acquisition unit, and to amplify, superimpose, filter, and correct the multiple EEG waveforms in sequence to obtain and display the corrected waveform;

[0070] The analysis and judgment unit is used to analyze and judge whether the brain's emotional processing function is normal based on the correction waveform.

[0071] This embodiment describes a detection system that uses emotional music to assess the brain's emotional processing function. It stimulates the brain's auditory system by repeatedly playing stimulating sounds, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds. These multiple EEG signals are then sequentially acquired, amplified, superimposed, filtered, and corrected. The corrected waveforms are then displayed for further analysis to determine whether the brain's emotional processing function is normal. This detection system eliminates interference from the objective environment and exhibits high stability.

[0072] Preferably, the sound playback unit includes a sound player; the signal acquisition unit includes a signal acquisition device; the signal processing and display unit includes an amplifier, a computer, and a monitor; and the stimulating sounds include first-emotion music, second-emotion music, and third-emotion music.

[0073] Specifically, the detection system for judging the brain's emotional processing function using emotional music in this embodiment also includes headphones and an EEG sensor; electrodes are placed at four points on the brain, Fz, F3, F4 and Cz, according to the international 10-20 electrode system; a sound player plays stimulating sounds to the brain through the headphones; the EEG sensor and a signal acquisition device are connected; the EEG sensor is used to sense the brain's electroencephalogram (EEG) signals; the signal acquisition device is used to collect the EEG signals sensed by the EEG sensor.

[0074] Specifically, the stimulating sound in this embodiment is emotional music obtained by rating on a scale based on three dimensions: pleasure, arousal, and dominance. The emotional music is rated from high to low as three levels: pleasant, neutral, and sad. The first emotional music is rated as pleasant, the second as sad, and the third as neutral.

[0075] Specifically, the stimulating sounds in this embodiment also include pure tones with a frequency of 1000Hz, defined as emotionless music as a contrast to other emotional music.

[0076] Specifically, in this embodiment, the sound player plays the first emotional music, the second emotional music, the third emotional music, and the pure tone to the brain the same number of times.

[0077] Preferably, the detection system includes a detection method that uses emotional music to assess the brain's emotional processing function; the detection method includes the following steps:

[0078] Step S1. The sound player plays stimulating sounds to the brain multiple times, and the brain generates multiple brain electrical signals corresponding to the stimulating sounds;

[0079] Step S2. The signal acquisition device acquires multiple EEG signals from the brain and converts them into multiple corresponding EEG waveforms, which are then sent to the amplifier.

[0080] Step S3. The amplifier receives and amplifies multiple EEG waveforms from the signal acquisition unit, generates multiple amplified waveforms, and sends them to the computer;

[0081] Step S4. The computer superimposes, filters, and corrects multiple amplified waveforms in sequence to obtain a corrected waveform, which is then displayed on the monitor.

[0082] Step S5. Analyze and determine whether the brain's emotional processing function is normal based on the correction waveform displayed on the monitor.

[0083] Preferably, step S1 includes the following steps:

[0084] Step S1.1. The sound player plays the first emotional music, the second emotional music, and the third emotional music to the brain multiple times respectively;

[0085] Step S1.2. The brain generates multiple first EEG signals corresponding to the first emotional music; the brain generates multiple second EEG signals corresponding to the second emotional music; the brain generates multiple third EEG signals corresponding to the third emotional music.

[0086] Specifically, in this embodiment, the sound player also plays pure tones to the brain multiple times, and the brain generates multiple fourth EEG signals corresponding to the pure tones.

[0087] Preferably, steps S2 and S3 include the following steps:

[0088] Step S2.1. The signal acquisition device acquires multiple first EEG signals from the brain; the signal acquisition device acquires multiple second EEG signals from the brain; the signal acquisition device acquires multiple third EEG signals from the brain;

[0089] Step S2.2. The signal acquisition device converts multiple first EEG signals into multiple corresponding first EEG waveforms and sends them to the amplifier; the signal acquisition device converts multiple second EEG signals into multiple corresponding second EEG waveforms and sends them to the amplifier; the signal acquisition device converts multiple third EEG signals into multiple corresponding third EEG waveforms and sends them to the amplifier.

[0090] Step S3.1. The amplifier amplifies multiple first EEG waveforms to obtain multiple first amplified waveforms and sends them to the computer; the amplifier amplifies multiple second EEG waveforms to obtain multiple second amplified waveforms and sends them to the computer; the amplifier amplifies multiple third EEG waveforms to obtain multiple third amplified waveforms and sends them to the computer.

[0091] Specifically, the signal acquisition device in this embodiment also acquires multiple fourth EEG signals from the brain and converts them into multiple corresponding fourth EEG waveforms, which are then sent to the amplifier. The amplifier in this embodiment also amplifies the multiple fourth EEG waveforms to obtain multiple amplified fourth waveforms, which are then sent to the computer.

[0092] In this embodiment, the duration of the first emotional music is 3 seconds, the playback interval is 2 seconds, and the number of playbacks is 30; the duration of the second emotional music is 3 seconds, the playback interval is 2 seconds, and the number of playbacks is 30; the duration of the third emotional music is 3 seconds, the playback interval is 2 seconds, and the number of playbacks is 30; and the duration of the pure tone is 3 seconds, the playback interval is 2 seconds, and the number of playbacks is 30.

[0093] Preferably, step S4 includes the following steps:

[0094] Step S4.1. The computer superimposes multiple first amplified waveforms to obtain a first superimposed wave; the computer superimposes multiple second amplified waveforms to obtain a second superimposed wave; the computer superimposes multiple third amplified waveforms to obtain a third superimposed wave;

[0095] Step S4.2. The computer performs a post-filter of 1-35Hz on the first superimposed wave to obtain the first filtered waveform; the computer performs a post-filter of 1-35Hz on the second superimposed wave to obtain the second filtered waveform; the computer performs a post-filter of 1-35Hz on the third superimposed wave to obtain the third filtered waveform.

[0096] Specifically, the computer in this embodiment also superimposes multiple fourth amplified waveforms to obtain a fourth superimposed wave, and performs post-filtering of the fourth superimposed wave at 1 to 35 Hz to obtain a fourth filtered waveform.

[0097] The superposition range of the first amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the first emotional music to 500ms after the input of the first emotional music;

[0098] The superposition range of the second amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the second emotional music to 500ms after the input of the second emotional music;

[0099] The superposition range of the third amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the third emotional music to 500ms after the input of the third emotional music;

[0100] The superposition range of the fourth amplified waveform is from -300ms to 500ms, that is, from the first 300ms of the input pure tone to the 500ms after the input pure tone.

[0101] Preferably, step S4 further includes the following steps:

[0102] Step S4.3. The computer selects the average amplitude of the first filtered waveform within a time window of -300ms to 0ms as the first baseline and performs baseline correction on the first filtered waveform to obtain the first corrected waveform; the computer selects the average amplitude of the second filtered waveform within a time window of -300ms to 0ms as the second baseline and performs baseline correction on the second filtered waveform to obtain the second corrected waveform; the computer selects the average amplitude of the third filtered waveform within a time window of -300ms to 0ms as the third baseline and performs baseline correction on the third filtered waveform to obtain the third corrected waveform.

[0103] Step S4.4. The display shows the first correction waveform, the second correction waveform, and the third correction waveform.

[0104] Specifically, in this embodiment, the computer further selects the average amplitude of the fourth filtered waveform within a time window of -300ms to 0ms as the fourth baseline to perform baseline correction on the fourth filtered waveform, thereby obtaining the fourth corrected waveform; the display in this embodiment also displays the fourth corrected waveform.

[0105] Preferably, step S5 further includes the following steps:

[0106] Step S5.1. Observe whether the first correction waveform, the second correction waveform, and the second correction waveform all have peaks within the time window of 100ms to 300ms. If yes, proceed to step S5.3; if no, proceed to step S5.2.

[0107] Step S5.2. Determine that the brain's emotional processing function is abnormal;

[0108] Step S5.3. Record the amplitude of the peak of the first corrected waveform within the time window of 100ms to 300ms as P2H; record the amplitude of the peak of the second corrected waveform within the time window of 100ms to 300ms as P2S; record the amplitude of the peak of the third corrected waveform within the time window of 100ms to 300ms as P2N;

[0109] Step S5.4. Analyze the relationship between P2H, P2S, and P2N to determine whether the brain's emotional processing function is normal.

[0110] Preferably, step S5.4 includes the following determination steps:

[0111] Step S5.4.1. Determine whether P2H > P2S and P2S > P2N. If yes, proceed to step S5.4.3; otherwise, proceed to step S5.4.2.

[0112] Step S5.4.2. Determine that the brain's emotional processing function is abnormal;

[0113] Step S5.4.3. Calculate whether P2H-P2N≥8.5μV. If yes, the brain's emotional processing function is normal; if no, the brain's emotional processing function is abnormal.

[0114] like Figure 8 As shown in the figure, this embodiment of a detection system for judging the brain's emotional processing function using emotional music records the amplitude of the peak of the first corrected waveform 100 within a time window of 100ms to 300ms as P2H; records the amplitude of the peak of the second corrected waveform 200 within a time window of 100ms to 300ms as P2S; records the amplitude of the peak of the third corrected waveform 300 within a time window of 100ms to 300ms as P2N; and also displays a fourth corrected waveform 400 for comparison.

[0115] Figure 8 Given P2H = 27.4 μV, P2S = 14.4 μV, and P2N = 10.6 μV, calculate P2H - P2N = 16.8 μV. Since P2H > P2S and P2S > P2N at this point, P2H - P2N ≥ 8.5 μV, indicating that the brain's emotional processing function is normal.

[0116] Example 2

[0117] like Figure 9 As shown in the figure, this embodiment of a detection system for judging the brain's emotional processing function using emotional music records a first correction waveform 100 with no peak within a time window of 100ms to 300ms; records a second correction waveform 200 with no peak within a time window of 100ms to 300ms; records a third correction waveform 300 with no peak within a time window of 100ms to 300ms; and also displays a fourth correction waveform 400 for comparison, thus judging that the brain's emotional processing function is abnormal.

[0118] Example 3

[0119] like Figure 10As shown, a detection system for using emotional music to judge the brain's emotional processing function in this embodiment records that the amplitude of the peak of the first calibration waveform 100 within the time window of 100 ms to 300 ms is P2H; records that the amplitude of the peak of the second calibration waveform 200 within the time window of 100 ms to 300 ms is P2S; records that the amplitude of the peak of the third calibration waveform 300 within the time window of 100 ms to 300 ms is P2N; and also shows the fourth calibration waveform 400 for comparison.

[0120] Among them, P2H = 16.6 μV, P2S = 19.0 μV, P2N = 20.8 μV. However, since P2H < P2S at this time, it is judged that the brain's emotional processing function is abnormal.

[0121] Embodiment 4

[0122] As Figure 11 As shown, a detection system for using emotional music to judge the brain's emotional processing function in this embodiment records that the amplitude of the peak of the first calibration waveform 100 within the time window of 100 ms to 300 ms is P2H; records that the amplitude of the peak of the second calibration waveform 200 within the time window of 100 ms to 300 ms is P2S; records that the amplitude of the peak of the third calibration waveform 300 within the time window of 100 ms to 300 ms is P2N; and also shows the fourth calibration waveform 400 for comparison.

[0123] Among them, P2H = 11.1 μV, P2S = 6.4 μV, P2N = 5.1 μV. Calculate P2H - P2N = 6.0 μV. Although P2H > P2S and P2S > P2N, but P2H - P2N < 8.5 μV, it is judged that the brain's emotional processing function is abnormal.

[0124] The above has elaborated on the embodiments of a detection system for using emotional music to judge the brain's emotional processing function provided by the present invention. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the core idea of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A detection system that uses emotional music to assess the brain's emotional processing function, characterized in that, It includes a sound playback unit, electrodes, a signal acquisition unit, a signal processing and display unit, and an analysis and judgment unit; The sound playback unit is used to play stimulating sounds multiple times to stimulate the auditory system of the brain, causing the brain to generate multiple electroencephalogram (EEG) signals corresponding to the stimulating sounds. The electrodes are used to transmit the plurality of electroencephalogram (EEG) signals; The signal acquisition unit is used to acquire the multiple EEG signals and convert them into multiple corresponding EEG waveforms, which are then sent to the signal processing and display unit. The signal processing and display unit is used to receive the multiple EEG waveforms from the signal acquisition unit, and to amplify, superimpose, filter, and correct the multiple EEG waveforms in sequence to obtain a corrected waveform and display it. The analysis and judgment unit is used to analyze and judge whether the brain's emotional processing function is normal based on the correction waveform. The detection system includes a method for assessing the brain's emotional processing function using emotional music, including: Step S1. The sound player plays stimulating sounds to the brain multiple times. The stimulating sounds include a first emotional music, a second emotional music, and a third emotional music. The level of the first emotional music is pleasant, the level of the second emotional music is sad, and the level of the third emotional music is neutral. The brain generates a first EEG signal corresponding to the first emotional music, a second EEG signal corresponding to the second emotional music, and a third EEG signal corresponding to the third emotional music. Step S2. The signal acquisition device acquires the first, second, and third EEG signals of the brain and converts them into corresponding first, second, and third EEG waveforms, which are then sent to the amplifier; Step S3. The amplifier receives the first, second, and third EEG waveforms from the signal acquisition unit, amplifies them, generates the first, second, and third amplified waveforms, and sends them to the computer; Step S4. The computer superimposes, filters, and corrects the first, second, and third amplified waveforms in sequence to obtain the first, second, and third corrected waveforms, which are then displayed on the monitor. Step S5. Based on the first, second, and third correction waveforms displayed on the monitor, analyze and determine whether the brain's emotional processing function is normal; Step S5 specifically includes: Step S5.

1. Observe whether the first correction waveform, the second correction waveform, and the third correction waveform all have peaks within the time window of 100ms to 300ms. If yes, proceed to step S5.3; if no, proceed to step S5.

2. Step S5.

2. Determine that the brain's emotional processing function is abnormal; Step S5.

3. Record the amplitude of the peak of the first corrected waveform within the time window of 100ms to 300ms as P2H; record the amplitude of the peak of the second corrected waveform within the time window of 100ms to 300ms as P2S; record the amplitude of the peak of the third corrected waveform within the time window of 100ms to 300ms as P2N; Step S5.

4. Analyze the relationship between P2H, P2S, and P2N to determine whether the brain's emotional processing function is normal; Step S5.4 includes the following judgment steps: Step S5.4.

1. Determine whether P2H > P2S and P2S > P2N. If yes, proceed to step S5.4.3; otherwise, proceed to step S5.4.

2. Step S5.4.

2. Determine that the brain's emotional processing function is abnormal; Step S5.4.

3. Calculate whether P2H-P2N≥8.5μV. If yes, the brain's emotional processing function is normal; if no, the brain's emotional processing function is abnormal.

2. The detection system according to claim 1, characterized in that, The sound playback unit includes a sound player; the signal acquisition unit includes a signal acquisition device; and the signal processing and display unit includes an amplifier, a computer, and a monitor.

3. The detection system according to claim 1, characterized in that, Step S1 includes the following steps: Step S1.

1. The sound player plays the first emotional music, the second emotional music, and the third emotional music to the brain multiple times respectively; Step S1.

2. The brain generates multiple first EEG signals corresponding to the first emotional music; the brain generates multiple second EEG signals corresponding to the second emotional music; the brain generates multiple third EEG signals corresponding to the third emotional music.

4. The detection system according to claim 1, characterized in that, Steps S2 and S3 include the following steps: Step S2.

1. The signal acquisition device acquires multiple first EEG signals from the brain; the signal acquisition device acquires multiple second EEG signals from the brain; the signal acquisition device acquires multiple third EEG signals from the brain; Step S2.

2. The signal acquisition device converts multiple first EEG signals into multiple corresponding first EEG waveforms and sends them to the amplifier; the signal acquisition device converts multiple second EEG signals into multiple corresponding second EEG waveforms and sends them to the amplifier; the signal acquisition device converts multiple third EEG signals into multiple corresponding third EEG waveforms and sends them to the amplifier. Step S3.

1. The amplifier amplifies multiple first EEG waveforms to obtain multiple first amplified waveforms and sends them to the computer; the amplifier amplifies multiple second EEG waveforms to obtain multiple second amplified waveforms and sends them to the computer; the amplifier amplifies multiple third EEG waveforms to obtain multiple third amplified waveforms and sends them to the computer.

5. The detection system according to claim 1, characterized in that, The duration of the first emotional music is at least 3 seconds, the playback interval is at least 2 seconds, and the number of playbacks is at least 30; the duration of the second emotional music is at least 3 seconds, the playback interval is at least 2 seconds, and the number of playbacks is at least 30; the duration of the third emotional music is at least 3 seconds, the playback interval is at least 2 seconds, and the number of playbacks is at least 30.

6. The detection system according to claim 1, characterized in that, Step S4 includes the following steps: Step S4.

1. The computer superimposes multiple first amplified waveforms to obtain a first superimposed wave; the computer superimposes multiple second amplified waveforms to obtain a second superimposed wave; the computer superimposes multiple third amplified waveforms to obtain a third superimposed wave; Step S4.

2. The computer performs a post-filter of 1-35Hz on the first superimposed wave to obtain the first filtered waveform; the computer performs a post-filter of 1-35Hz on the second superimposed wave to obtain the second filtered waveform; the computer performs a post-filter of 1-35Hz on the third superimposed wave to obtain the third filtered waveform. The superposition range of the first amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the first emotional music to 500ms after the input of the first emotional music; The superposition range of the second amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the second emotional music to 500ms after the input of the second emotional music; The superposition range of the third amplified waveform is from -300ms to 500ms, that is, from 300ms before the input of the third emotional music to 500ms after the input of the third emotional music.

7. The detection system according to claim 1, characterized in that, Step S4 further includes the following steps: Step S4.

3. The computer selects the average amplitude of the first filtered waveform within a time window of -300ms to 0ms as the first baseline and performs baseline correction on the first filtered waveform to obtain the first corrected waveform; the computer selects the average amplitude of the second filtered waveform within a time window of -300ms to 0ms as the second baseline and performs baseline correction on the second filtered waveform to obtain the second corrected waveform; the computer selects the average amplitude of the third filtered waveform within a time window of -300ms to 0ms as the third baseline and performs baseline correction on the third filtered waveform to obtain the third corrected waveform. Step S4.

4. The display shows the first correction waveform, the second correction waveform, and the third correction waveform.

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