TW201444530A - Method and device for determining disease and assessing therapeutic effect of disease according to blood flow sound - Google Patents

Abstract

The present invention relates to a method and a device for determining disease and assessing therapeutic effect of disease according to blood flow sound, which may solve the problem of conventional physiological signal detection for converting the signals into two-dimensional spectrum for comparison and determination which likely caused errors. The present invention focuses on the determination and assessment of diseases affecting the blood flow, and includes the following steps: first, capturing a sound signal at a testing portion of a person under test for blood flowing in his body; performing the auditory-based cochlear transform on the sound signal to become a visualized cochlear spectrogram; and, comparing the cochlear spectrogram with a cochlear spectrogram data to determine if the testing portion of the person under test is suffered from related diseases, such as heart or cardiovascular disease, neonate's patent ductus arteriosus (PDA) or dialysis fistula narrowing. Furthermore, the envelope of sub-bands in the cochlear spectrogram of the patient before and after treatment can be extracted for assessing the therapeutic effect according to noise reduction status of the envelope after treatment. The present invention utilizes the visualized cochlear spectrogram established through the auditory-based cochlear transform as the basis for comparison to achieve higher determination accuracy.

Description

Method and device for judging disease and evaluating disease treatment effect according to blood flow sound

The present invention relates to a method and apparatus for judging a disease according to blood flow sounds and evaluating the therapeutic effect of the disease, in particular, the sound signal of the blood flow is converted into a three-dimensional spectrogram by using an auditory-based cochlear transform (cochlear). Spectrogram), used as a method and device for comparing diseases and evaluating treatment effects.

The contraction of the heart, the narrowing or hardening of the blood vessels, the concentration of blood, the content of blood lipids, etc., can cause different physiological signal reactions, such as electrical signals or sound signals, when the blood flows. Therefore, it is often used to observe whether the human body is suffering from related diseases according to the physiological signals of blood flow.

For example, U.S. Patent No. 7,485,094, "Methods of diagnosis using pulse volume measurement", which discloses the use of measured pulse intensity as a diagnostic method for diagnosing blood loss, neonatal open arterial insufficiency (patent ductus arteriosus) , PDA), cardiogenic shock and other phenomena. However, the detailed description of the case is based on the time-pulse intensity two-dimensional spectrum as the basis for analysis, and the analysis from the two-dimensional spectrum sometimes has too much simplification and large error; and actually in the measurement process In the above method, due to the interference of external noise or other tremors of the human body, the analysis may cause errors. Therefore, after the physiological signal is extracted, a filter is usually used to filter the noise.

Considering that some small noises are not easy to filter out, in the Republic of China Invention Patent Disclosure No. 201244691 "Diagnosing System and Method of Heart Sound/Heart Disease Risk", it is proposed to use "the natural sound logarithm of the heart sound signal based on the absolute value of the heart sound signal". The technical characteristics of the special function operation of the product of the obtained value and the heart sound signal filter out the small noise that is not easily filtered out. The case reveals the use of sound signals for comparison analysis and provides a means of filtering out small noise. However, although the case provides technical features for filtering noise, it still uses time-frequency two-dimensional spectrum for analysis. Based on the facts, there may still be cases where the calculation may be too simplified and there may be errors.

Reviewing the existing signal analysis techniques, in 2009, QiLi et al. used the following wavelet theory to analyze the sound signals using the bases _{a, b} that mimic human hearing characteristics:

In this way, the characteristics of the obtained sound signal can be analyzed based on the human auditory characteristics and the intuitive judgment.

Thus, the convenience of analysis based on the conversion of sound signals into a spectrum similar to human auditory characteristics. The invention provides a method for judging a disease according to a blood flow sound, which is a method for converting a blood flow sound signal into a three-dimensional spectrum as an analytical comparison, and using an auditory-based cochlear transform to sound Intuitive conversion to a visual cochlear spectrogram, and the ability to make intuitive analytical judgments, can be used to determine, for example, whether the subject is suffering from heart or cardiovascular disease, whether the subject's dialysis catheter is narrowed or When the subject is a newborn, various diseases such as whether the fistula between the heart and the lung of the newborn is closed.

The foregoing method of the present invention includes the following steps:

A. A sound signal of blood flow in one of the tested subjects; B. The above-mentioned sound signal is converted into a three-dimensional spectrogram through an auditory-based cochlear transform ( Cochlear spectrogram); C. Comparing the three-dimensional spectrogram with a three-dimensional spectral data, the three-dimensional spectral data includes: a three-dimensional spectrogram generated by blood flow under normal conditions, and in a state of various diseases affecting blood flow, A three-dimensional spectrogram generated by blood flow to determine whether the subject's tested site is in a healthy state or suffers from the aforementioned disease.

The auditory-based cochlear transform described in step B uses:

Where CS(a,b) represents the output of the human auditory model transformation, a represents the inverse of the ratio of the center frequency of each frequency band to the center frequency of the lowest frequency band, b represents different time positions, and s(t) represents the sampled The time function of a single acoustic signal, Ψ ^* _{a, b} is the selected wavelet base model function. The substrate Ψ ^* _{a, b} used in the present invention is different from the substrate proposed by QiLi et al., and is combined with Japanese T. Irino et al. "A dynamic compressive gammachirp auditory filterbank," IEEE Trans. Audio, Speech, Language Prcess., vol. 14, pp. 2222-2232, Nov. 2006.

The three-dimensional spectrogram obtained according to the foregoing operation result includes three dimensions of time, frequency and correlation strength, and the foregoing step C is compared according to at least two of the following: time-frequency two-dimensional spectrum, time-correlation intensity two-dimensional spectrum and Frequency-correlation intensity two-dimensional spectrum.

Furthermore, the envelop the sub-band signal of cochlear spectrogram in the three-dimensional spectrogram of step B may be further extracted, which may be referred to as a temporal correlogram. The three-dimensional spectrum data of step C includes a time domain correlation spectrum map obtained according to each three-dimensional spectrogram, and then the comparison program is executed. The aforementioned time domain correlation spectrum map is calculated by:

Where m represents the envelope of the three-dimensional spectrogram of CS(a,b) in the above-mentioned human auditory model conversion at frequency band k and time n, respectively, and w represents a window function with a sampling point length of l (window) ), τ represents how many signal sampling points are moved, and different window functions can be selected according to different usage requirements. The window function used in the present invention is a Hamming Window.

Further, the multi-point measurement can be used to find common points and exclude abnormal states. Therefore, in step A, the sound signals of the plurality of different positions of the tested portion are captured, and in step C, the plurality of three-dimensional spectrograms generated by the plurality of sound signals are compared with the three-dimensional spectral data, and the Among the judgment results of the plurality of three-dimensional spectrograms, the most identical ones are the final judgment results.

The present invention further provides a method for assessing the therapeutic effect of a disease according to blood flow sounds, mainly because, for example, a patient having a vascular disease undergoes a vasodilation or other treatment mode, and the three-dimensional spectrogram obtained by the aforementioned method tends to be in a normal form. The physician cannot accurately determine the recovery status of the postoperative recovery period of the vascular disease patient from the aforementioned three-dimensional spectrogram, and must use other methods to assist the evaluation; the present invention utilizes the envelope surface of the sub-band obtained by obtaining the aforementioned three-dimensional spectrogram, that is, The aforementioned time domain correlation spectrogram is used to amplify subtle noise for the physician to use as a basis for assessing the patient's recovery from postoperative recovery.

The aforementioned method of the present invention comprises the following steps:

A. For a subject suffering from a disease affecting blood flow, the subject is subjected to a sound of blood flowing in the body to be tested before and after treatment of one of the aforementioned diseases. The signal is transmitted through an auditory-based cochlear transform into a pre-cochlear spectrogram and a post-cochlear spectrogram; Extract the envelop of sub-band signal of cochlear spectrogram and define the temporal correlogram D. Compare the time domain correlation spectrum map before treatment with the time domain correlation spectrum map after treatment, and evaluate the treatment effect according to the noise reduction result of the time domain correlation spectrum map after treatment. The aforementioned time domain correlation spectrogram includes three dimensions of time, frequency and correlation coefficient, and takes the time domain correlation spectrum map before treatment and the main domain of the time domain correlation spectrum map after treatment. The peaks of the frequency peaks are compared by the envelope of their frequencies.

The present invention further provides a device for performing the foregoing method, including: a signal receiving unit; a signal processing module including a signal conversion unit electrically connected to the signal receiving unit, and an output unit electrically connecting the signal The conversion unit includes a data library and a comparison unit, and the comparison unit is electrically connected to the output unit.

The signal receiving unit receives the sound signal, and the signal converting unit converts the sound signal into the three-dimensional spectrogram, or further extracts an envelope of the sub-band in the three-dimensional spectrogram (extraction the envelop of sub -band signal of cochlear spectrogram), which is then output by the output unit. The aforementioned database stores the aforementioned three-dimensional spectrum data, or further stores the time domain correlation spectrum map of the patient before treatment. This can be used to perform a subsequent comparison procedure to determine whether the subject is suffering from a related disease or to assess the postoperative recovery of the subject.

The invention has the following effects:

1. Use the auditory-based cochlear transform to create a visual cochlear spectrogram, and visually analyze the auditory to achieve a similar auscultation effect.

2. The present invention uses the analysis and judgment of the three-dimensional spectrogram, wherein at least two pairs of two-dimensional spectra are used for comparison, and the judgment accuracy is high.

3. The present invention uses a three-dimensional spectrogram of blood flow before and after treatment to obtain a time-domain correlation spectrum map, and amplifies slight noise for the physician to reduce the state of the noise according to the envelope surface after treatment. Assess the treatment effect.

(1). . . Signal receiving unit

(2). . . Signal processing module

(twenty one). . . Signal conversion unit

(twenty two). . . Output unit

(3). . . Graphic recognition module

(31). . . database

(32). . . Alignment unit

The first figure is a system architecture diagram of the first embodiment of the present invention.
The second A diagram is the first embodiment of the present invention, and the three-dimensional spectrogram has obvious periodicity under normal closure of the fistula between the heart and the lung after birth.
The second B diagram is the first embodiment of the present invention, in which the fistula between the heart and the lungs after birth is not normally closed (PDA), and the three-dimensional spectrogram has continuous noise between each cycle.
The third figure is a flow chart of the first embodiment of the present invention.
The fourth A diagram is the second embodiment of the present invention, and the time domain correlation spectrum map has obvious periodicity under the normal closure of the fistula between the heart and the lung after the birth of the newborn.
The fourth B is a second embodiment of the present invention, in which the fistula between the heart and the lungs is not normally closed (PDA) after birth, and the time domain correlation spectrum map has continuous noise between each cycle. .
The fifth drawing is a flow chart of the third embodiment of the present invention.
Figure 6A is a time-domain correlation spectrum of the pre-treatment measurement of the subject.
Figure 6B is a time-domain correlation spectrum of the subject's post-treatment measurements.
The seventh picture A is an envelope diagram of the frequency of the main frequency peak in the sixth A picture.
The seventh B diagram is an envelope diagram of the frequency of the main frequency peak in the sixth B diagram.

The first embodiment of the present invention is a method and apparatus for determining a disease based on blood flow sounds. Referring to the first figure, a schematic diagram of a device according to a first embodiment of the present invention includes:

A signal receiving unit (1), a signal processing module (2) and a graphic recognition module (3). The signal processing module (2) includes a signal conversion unit (21) and an output unit (22); the graphic recognition module (3) includes a data library (31) and a comparison unit (32). The database (31) stores three-dimensional spectral data established by an audio-based cochlear transform of sound signals flowing in the human body in various states: including a three-dimensional spectrogram generated by blood flow under normal conditions. And a three-dimensional spectrogram of blood flow produced by various conditions that affect blood flow related diseases.

The aforementioned human auditory model transformation can intuitively convert the sound signal of the blood flow into a three-dimensional spectrogram of the visual model. The human ear auditory model is converted using:

Where CS(a,b) represents the output of the human auditory model transformation, a represents the inverse of the ratio of the center frequency of each frequency band to the center frequency of the lowest frequency band, b represents different time positions, and s(t) represents the sampled The time function of a single acoustic signal, Ψ ^* _{a, b} is the selected wavelet base model function. The substrate Ψ ^* _{a, b} used in the present invention is different from the substrate proposed by QiLi et al., and is combined with Japanese T. Irino et al. "A dynamic compressive gammachirp auditory filterbank," IEEE Trans. Audio, Speech, Language Prcess., vol. 14, pp. 2222-2232, Nov. 2006.

The three-dimensional spectrogram converted by the above formula includes three dimensions of time, frequency and correlation strength.

Referring to Figure 2A, it is a measure of the flow of blood in the aorta of the heart after normal closure of the neonate after birth, after the normal closure of the fistula between the heart and the lung. Since the heart is periodically contracted to give blood power, so that the blood can circulate in the human body. Therefore, when the fistula is normally closed, it can be found that the sound signal of blood flowing in the cardiac aorta has obvious periodicity after being converted into a three-dimensional spectrogram. Referring to the second B diagram, when the fistula is not normally closed, due to the pressure difference between the flow of blood in the aorta and the flow of the pulmonary artery, part of the blood flows from the aorta to the pulmonary artery via the fistula, which is an open arterial atresia. In the case of incomplete (patent ductus arteriosus, PDA), when measuring the sound signal, a continuous heart murmur is generated between each cycle of the heart contraction, so that the sound signal does not have obvious periodicity after being converted into a three-dimensional spectrogram. .

Referring to the third figure, the embodiment includes the following steps:

A. Using the aforementioned signal receiving unit (1), such as a stethoscope, to capture an audible signal that the newborn's blood flows in the aorta of the heart.

B. The signal receiving unit (1) inputs the audio signal into the signal conversion unit (21) of the signal processing module (2), and the signal conversion unit (21) receives the voice signal and transmits the voice through the person The ear hearing model is converted and the sound signal is converted into a three-dimensional spectrogram.

C. The three-dimensional spectrogram is input into a comparison unit (32) of the pattern recognition module (3), and the comparison unit (32) compares the three-dimensional spectrogram with the three-dimensional spectrum data in the database (31) The comparison is performed, and the judgment result is output. One of the comparison methods is based on at least two comparisons: time-frequency two-dimensional spectrum, time-correlation intensity two-dimensional spectrum, and frequency-correlation intensity two-dimensional spectrum. By comparing the auditory analysis through visualization, it has the effect of auscultation, which can be used to determine whether the newborn has symptoms of open ductus arteriosus (PDA).

It should be further noted that in the operation, the multi-point measurement can be used to find the common point, and the abnormal state is excluded, so in step A, the sound signals at different positions of the neonatal aorta can be retrieved, and In the step C, a plurality of three-dimensional spectrograms generated by the plurality of audio signals are obtained, and among the determination results of the plurality of three-dimensional spectrograms, the most identical ones are used as the final judgment result, and the accuracy is higher.

In addition to the above-mentioned symptoms for analyzing the open ductus arteriosus (PDA) of the newborn, it can be used to determine whether the subject has other cardiovascular diseases or to judge the subject. Whether the dialysis tube is narrowed and other various vascular diseases.

For the second embodiment of the present invention, please refer to the fourth A picture and the fourth B picture, and further extract the envelop of sub-band signal of cochlear spectrogram in the three-dimensional spectrum diagram of step B, Also known as a temporal correlogram, the aforementioned database (31) stores a time domain correlation spectrogram obtained from each of the three-dimensional spectrograms.

The calculation of the aforementioned temporal correlogram is carried out by:

Where m represents the envelope of the three-dimensional spectrogram of CS(a,b) in the above-mentioned human auditory model conversion at frequency band k and time n, respectively, and w represents a window function with a sampling point length of l (window) ), τ represents how many signal sampling points are moved, and different window functions can be selected according to different usage requirements. The window function used in the present invention is a Hamming Window.

When the neonate is connected to the normal closure of the fistula between the heart and the lung, its temporal correlogram also has a pronounced periodicity; when the neonate has an open arterial insufficiency (patent ductus arteriosus, When the symptoms of PDA), the temporal correlogram also showed no significant periodicity. Therefore, in step C, the temporal correlogram can also be used as the basis for the judgment.

The third embodiment of the present invention is shown in FIG. 5 and FIG. 6A and FIG. 6B. The embodiment is a method and a device for evaluating a disease treatment effect according to blood flow sound, wherein the device and the device of the embodiment In an embodiment, the time domain correlation spectrogram obtained by the three-dimensional spectrogram measured according to the patient's treatment is stored in the database (31), and the time domain correlation spectrum map is obtained by using the time domain correlation spectrum ( The temporal correlogram is used to amplify subtle noise, so it can be used as a basis for assessing the recovery of postoperative recovery in patients with vascular disease. The aforementioned temporal correlogram contains three dimensions of time, frequency and correlation coefficient.

Mainly, for example, when a patient with vascular disease undergoes vasodilation or other treatment methods, the three-dimensional spectrogram obtained by the aforementioned method will approach the normal pattern, and the physician cannot accurately determine the patient with vascular disease from the aforementioned three-dimensional spectrogram. In the recovery of the postoperative recovery period, other methods must be used to assist the assessment.

This embodiment includes the following steps:

A. The above-mentioned signal receiving unit (1) is used to extract a sound signal of blood flow before and after treatment for a subject suffering from a blood flow related disease.

B. The aforementioned sound signal is transmitted through the aforementioned auditory-based cochlear transform into a pre-cochlear spectrogram and a post-cochlear spectrogram.

C. extracting the aforementioned pre-treatment three-dimensional spectrogram and the extraction of the envelop of sub-band signal of cochlear spectrogram, that is, the aforementioned temporal correlogram This can enlarge the fine noise that was difficult to observe.

D. Compare the time domain correlation spectrum map before treatment with the time domain correlation spectrum map after treatment, and evaluate the treatment effect according to the noise reduction result of the time domain correlation spectrum map after treatment.

Referring to FIGS. 7A and 7B, the envelope of the frequency of the main frequency peak can be further compared.

In view of the foregoing description of the embodiments, the operation and the use of the present invention and the effects of the present invention are fully understood, but the above described embodiments are merely preferred embodiments of the present invention, and the invention may not be limited thereto. Included within the scope of the present invention are the scope of the present invention.

no

Claims (17)

A method for judging a disease based on blood flow sounds, comprising the following steps:
A. A sound signal of blood flow in one of the tested subjects;
B. The above-mentioned sound signal is converted into a cochlear spectrogram through an auditory-based cochlear transform;
C. Comparing the three-dimensional spectrogram with a three-dimensional spectrum data, the three-dimensional spectrum data includes: a three-dimensional spectrogram generated by blood flow under normal conditions, and blood flow generated under various conditions affecting blood flow A three-dimensional spectrogram is used to determine whether the subject to be tested is in a healthy state or suffers from the aforementioned diseases. The method for judging a disease according to a blood flow sound according to the first aspect of the patent application, wherein the auditory-based cochlear transform described in the step B is:


Where CS(a,b) represents the output of the human auditory model transformation, a represents the inverse of the ratio of the center frequency of each frequency band to the center frequency of the lowest frequency band, b represents different time positions, and s(t) represents the sampled The time function of a single acoustic signal, Ψ ^* _{a, b} is the selected wavelet base model function. The method for judging a disease according to a blood flow sound according to the second aspect of the patent application, wherein the foregoing three-dimensional spectrogram includes three dimensions of time, frequency and correlation strength, and the foregoing step C is compared according to at least the following: time - Frequency two-dimensional spectrum, time-correlation intensity two-dimensional spectrum and frequency-correlation intensity two-dimensional spectrum. Extracting the envelop of sub-band signal of cochlear spectrogram in the three-dimensional spectrogram of step B, as described in the second aspect of the patent application, for determining the disease according to the blood flow sound It is defined as a temporal correlogram, and the three-dimensional spectrum data of step C includes a time domain correlation spectrogram obtained from each three-dimensional spectrogram, and then the comparison program is executed. The method for determining a disease according to blood flow sounds as described in claim 4, wherein calculating the aforementioned temporal correlogram is performed by:


Where m represents the envelope of the three-dimensional spectrogram of CS(a,b) in the above-mentioned human auditory model conversion at frequency band k and time n, respectively, and w represents a window function with a sampling point length of l (window) ), τ represents how many signal sampling points are moved. In the method of determining the disease according to the blood flow sound according to the first aspect of the patent application, in step A, the sound signals of the plurality of different positions of the tested part are captured, and in step C, the plurality of sound signals are obtained. The generated plurality of three-dimensional spectrograms are compared with the three-dimensional spectrum data, and among the determination results of the plurality of three-dimensional spectrograms, the most plurality of identical persons are used as the final judgment result. In the method of determining the disease according to the blood flow sound according to the first aspect of the patent application, in the step A, the test subject is a heart or a cardiovascular, and the subject is measured to have blood in the heart or An audio signal flowing inside the cardiovascular tube, in which it is judged whether the subject has a heart or cardiovascular disease in step C. In the method of determining the disease according to the blood flow sound according to the first aspect of the patent application, in step A, the subject to be tested is a dialysis catheter, and the blood of the subject is measured in the dialysis catheter. The sound signal flowing inside is used to judge whether the dialysis tube of the subject is narrowed in step C. The method for judging a disease according to a blood flow sound according to the first aspect of the patent application, wherein the subject is a newborn, and the measured part is a fistula between the heart and the lung of the newborn, and is measured in step A. The newborn produces a sound signal from the blood flow between the heart and the lungs of the newborn, thereby determining in step C whether the fistula between the neonatal heart and the lung is closed. A device for use in a method for determining a disease according to a blood flow sound as described in claim 1 of the patent application, comprising:
a signal receiving unit for receiving the sound signal of step A;
The signal processing module includes a signal conversion unit electrically connected to the signal receiving unit, and an output unit electrically connected to the signal conversion unit. In step B, the signal conversion unit converts the audio signal into the three-dimensional spectrogram. And output by the output unit;
A graphics recognition module includes a data library and a comparison unit electrically connected to the output unit, the database storing the three-dimensional spectral data of step C, and the comparison unit receives the three-dimensional spectrum Align with the three-dimensional spectrum data. A method for assessing the therapeutic effect of a disease based on blood flow sounds, comprising the following steps:
A. For a subject suffering from a disease affecting blood flow, the subject is subjected to a sound of blood flowing in the body to be tested before and after treatment of one of the aforementioned diseases. Signal
B. The aforementioned sound signal is transmitted through an auditory-based cochlear transform into a pre-cochlear spectrogram and a post-cochlear spectrogram;
C. Extracting the aforementioned pre-treatment three-dimensional spectrogram and the extraction of the envelop of sub-band signal of cochlear spectrogram, which is defined as a temporal correlogram );
D. Compare the time domain correlation spectrum map before treatment with the time domain correlation spectrum map after treatment, and evaluate the treatment effect according to the noise reduction result of the time domain correlation spectrum map after treatment. The method for assessing the therapeutic effect of a disease according to blood flow sound according to claim 11 of the patent application, wherein the auditory-based cochlear transform of step B adopts:



Where CS(a,b) represents the output of the human auditory model transformation, a represents the inverse of the ratio of the center frequency of each frequency band to the center frequency of the lowest frequency band, b represents different time positions, and s(t) represents the sampled The time function of a single acoustic signal, Ψ ^* _{a, b} is the selected wavelet base model function;
The time domain correlation spectrum (steporal correlogram) of step C is calculated as follows:




Where m represents the envelope of the three-dimensional spectrogram of CS(a,b) in the above-mentioned human auditory model conversion at frequency band k and time n, respectively, and w represents a window function with a sampling point length of l (window) ), τ represents how many signal sampling points are moved. The method for assessing the therapeutic effect of a disease according to blood flow sound according to claim 11 of the patent application scope, wherein the time domain correlation spectrogram includes three dimensions of time, frequency and correlation coefficient, and is a treatment for the disease. The pre-time-domain correlation spectrogram and the time-domain correlation spectrum of the post-treatment time-frequency spectrum are compared by the envelope of the frequency. The method for assessing the therapeutic effect of the disease according to the blood flow sound as described in claim 11 of the patent application, wherein the subject having the disease affecting the blood flow in the step A is a neonate suffering from an open arterial stenosis. The method for assessing the therapeutic effect of a disease according to blood flow sounds as described in claim 11 of the patent application, wherein the subject having a disease affecting blood flow in step A is a patient suffering from a heart disease or a cardiovascular disease. The method for assessing the therapeutic effect of the disease according to the blood flow sound according to the invention of claim 11, wherein the subject having the disease affecting blood flow in the step A is a dialysis patient suffering from a narrowing symptom of the dialysis. A device for use in a method for assessing the therapeutic effect of a disease according to blood flow sounds as described in claim 11 of the patent application, comprising:
a signal receiving unit for receiving the sound signal of step A;
The signal processing module includes a signal conversion unit electrically connected to the signal receiving unit, and an output unit electrically connected to the signal conversion unit. In step B, the signal conversion unit converts the sound signal into the pre-treatment three-dimensional image. a spectrogram and a post-treatment three-dimensional spectrogram, and taking the aforementioned time domain correlation spectrogram before treatment and the time domain correlation spectrogram after treatment, and then outputting by the output unit;
A graphics recognition module includes a data library and a comparison unit electrically connected to the output unit, the database storing the time domain correlation spectrum map before the treatment, and the comparison unit receives the treatment The subsequent time domain correlation spectrogram is compared to the pre-treatment time domain correlation spectrogram.