WO2018170792A1 - Method and system for assessing effectiveness of tui na on lumbar disc herniation - Google Patents

Abstract

Disclosed are a method and system for assessing effectiveness of tui na on lumbar disc herniation. The method comprises: pre-processing EEG data acquired from a lumbar disc herniation patient before and after tui na treatment (S120); extracting characteristic values from the pre-processed EEG data (S130); performing statistical analysis on the extracted characteristic values and identifying channel or rhythm variances by analyzing changes in EEG signals before and after tui na (S140); and analyzing for correlation between channels or rhythms, as well as VAS pain levels, showing significant differences before and after tui na (S150). The method and system for assessing effectiveness of tui na on lumbar disc herniation can be used to obtain characteristic values by performing data processing on acquired EEG data so as to perform statistical analysis thereon and identify differences in a lumbar disc herniation patient before and after tui na, thereby enabling assessment of tui na effectiveness in preliminary rehabilitative training; the method is non-invasive and can be executed in any location, and has the advantage of being able to disclose abnormal movement characteristics that cannot be disclosed by imaging, and thus is relatively more objective and accurate.

Description

Method and system for evaluating massage effect of lumbar disc herniation patients Technical field

The invention relates to a method and a system for evaluating the massage effect of a patient with lumbar disc herniation.

Background technique

Lumbar disc herniation is a common and frequently-occurring disease in orthopedics. It is the most common cause of low back pain. It causes great pain to patients, such as work ability, learning ability, quality of life, and even disability. Clinically, there are a variety of conservative methods for non-surgical indications of LDH patients. Traditional Chinese medicine has unique insights and methods, such as manual massage, oral Chinese medicine prescription, topical Chinese medicine ointment, acupuncture, etc., which have been accepted by doctors and patients. good idea.

In the non-surgical treatment of lumbar disc herniation, massage is an important treatment. The massage has the functions of warming meridians, relieving muscle spasm, relaxing pain, etc. The manipulation can correct the anatomy of the soft tissue or the facet joint of the displacement. Position, make the abnormal line of force return to normal, adjust the internal and external balance, relieve the symptoms of clinical pain, numbness and other symptoms to improve blood circulation, enhance muscle strength, improve the elasticity of the ligament and eliminate inflammation. Indirect inhalation of the spinal cord and other methods can affect the spinal cord and The nerve roots produce friction, and it is expected to improve the microcirculation, promote the function of edema washing and loosening the adhesion, and the nerves are repaired, and the dysfunction is alleviated and disappeared.

At present, the most commonly used evaluation methods for the treatment of lumbar disc herniation are imaging evaluation and scoring evaluation:

(1) Imaging evaluation method, imaging evaluation methods include X-ray, computed tomography (CT) and magnetic resonance imaging (MRI). X-ray is the earliest and most basic measurement method for analyzing the hyperflexed side of the lumbar spine. The slice is a commonly used method in clinical practice. This method is simple and easy to operate. CT can obtain data on different supine positions in the waist, find anatomical changes, use data for 3D reconstruction and measurement; MRI can obtain sagittal plane, Images of coronal, cross-sectional, and cross-sections in any direction, capable of Direct 3D reconstruction showed that the method used a supine vertebral body. Patients with lumbar disc herniation are manifested in spinal injury and often show abnormalities in spinal motion. The above imaging radiological examination methods may not be easy to show abnormalities.

(2) The score assessment method includes the pain visual analog scale scale, the dysfunction index questionnaire, and the lumbar spine function score scale. Pain visual analogue scale scale, the method is more sensitive and comparable. The specific method is: draw a 10cm horizontal line on the paper, one end of the horizontal line is 0, indicating no pain, the other end is 10, indicating severe pain. The middle part indicates different degrees of pain, allowing the patient to draw a mark on the horizontal line according to the feeling of self, indicating the degree of pain. The dysfunction index questionnaire consists of 10 questions, including the intensity of pain, self-care, walking, walking, sitting, standing, disturbing sleep, sex life, social life, tourism, etc., each question 6 Options, the highest score for each question is 5 points, the first option is 0 points, and the last option is 5 points. If there are 10 questions, the scoring method is: actual score / 50 (highest possible score) × 100%, if there is a question that is not answered, the scoring method is: actual score / 45 (highest possible score) × 100%, if the higher indicates that the dysfunction is more serious.

However, these scoring methods are mainly based on the subjective feelings of people, which have certain limitations and errors.

Summary of the invention

Based on this, it is necessary to provide a method and system for evaluating the massage effect of patients with lumbar disc herniation, which is simple and scientific and objective, in view of the defects of the prior art.

In order to achieve the above object, the present invention adopts the following technical solutions:

A method for evaluating the effect of massage of a patient with lumbar disc herniation includes the following steps:

Collecting EEG data before and after massage in patients with lumbar disc herniation;

Pretreatment of the acquired EEG data before and after massage in patients with lumbar disc herniation;

Extracting the characteristic values of the EEG data before and after manipulation of the pre-treated lumbar disc herniation patients;

The characteristic values of the extracted lumbar disc herniation patients before and after massage were statistically analyzed, and the changes of EEG signals before and after massage were analyzed to find out the channels or rhythms with significant differences;

To analyze the correlation between the channel or rhythm of patients with lumbar disc herniation before and after massage and the level of VAS pain.

In some preferred embodiments, in the step of collecting brain electrical data before and after massage of the lumbar disc herniation patient, the instrument for collecting electroencephalogram data of the patient with lumbar disc herniation is an EMOTIV EPOC brain electricity collecting instrument.

In some preferred embodiments, the electrode placement of the EMOTIV EPOC EEG is performed using the international 10/20 system standard, the electrode simultaneously recording 14 conductive EEG data, and the 14 channels of the 14 conductive electrodes are respectively AF3. , F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4, the electrode is an Ag/AGCI electrode, and the EEG sampling frequency of the EMOTIV EPOC brain electricity collecting instrument is At 128 Hz, the band of the electroencephalogram data of the patient with lumbar disc herniation includes a δ wave of 1 to 3 Hz, a θ wave of 4 to 7 Hz, an alpha wave of 8 to 13 Hz, and a beta wave of 14 to 30 Hz.

In some preferred embodiments, in the step of pre-treating the electroencephalogram data before and after manipulation of the acquired lumbar disc herniation patient, the pre-processing is a denoising process.

In some preferred embodiments, the method of denoising processing is wavelet packet transform.

In some preferred embodiments, the EEG data of the patients with lumbar disc herniation after wavelet packet transformation are arranged according to a binary Gray code, wherein the nodes corresponding to each frequency band are as follows: the δ wave corresponds to the wavelet node (6) , the sum of 1) and (6, 3); the θ wave corresponds to the sum of the wavelet nodes (6, 4), (6, 6), (6, 7); the α wave corresponds to the wavelet node is (6, 8), The sum of (6,12), (6,13), (6,14), (6,15); the beta wave corresponds to the wavelet nodes as (6,10), (6,11), (6,16), (6,17), (6,18)(6,19), (6,22), (6,23), (6,24), (6,25), (6,26), (6, 27), (6, 28), (6, 29), (6, 30), (6, 31).

In some preferred embodiments, in the step of extracting characteristic values of EEG data before and after manipulation of the pre-treated lumbar disc herniation patient, the characteristic value includes approximation of 14 channels before and after massage in patients with lumbar disc herniation The entropy and HHT marginal spectral entropy eigenvalues and the approximate entropy of the four rhythms (δ, θ, α, and β) of 14 channels and the HHT marginal spectral entropy eigenvalues.

In some preferred embodiments, the characteristic values of the extracted lumbar disc herniation patients before and after the massage are statistically analyzed, and the changes of the EEG signals before and after the massage are analyzed to find the channel or rhythm of the difference, including the following. step:

To analyze the difference in the approximate entropy of the four rhythms (δ, θ, α, and β) of 14 channels before and after massage in patients with lumbar disc herniation;

To analyze the difference of HHT marginal spectral entropy in 14 channels before and after massage in patients with lumbar disc herniation;

To analyze the difference in the approximate entropy of the four rhythms (δ, θ, α, and β) of 14 channels before and after massage in patients with lumbar disc herniation;

The differences in HHT marginal spectral entropy of the four rhythms (δ, θ, α, and β) of 14 channels before and after massage in patients with lumbar disc herniation were analyzed.

In some preferred embodiments, wherein the correlation between the channel or rhythm of the significant difference before and after the massage and the VAS pain level is analyzed, including the difference in the channel or rhythm of the difference in the lumbar disc herniation before and after the massage. Then, a correlation analysis was performed with the VAS pain level.

In addition, the present invention also provides an evaluation system for the effect of massage of a patient with lumbar disc herniation, including:

An acquisition module for collecting brain electrical data before and after massage in patients with lumbar disc herniation;

a pre-processing module for pre-processing the brain electrical data before and after massage of the collected lumbar disc herniation patients;

a feature extraction module, configured to extract characteristic values of brain electrical data before and after manipulation of the pre-treated lumbar disc herniation patient;

The analysis module is used for statistical analysis of the characteristic values of the extracted lumbar disc herniation patients before and after massage, analyzing the changes of brain electrical signals before and after massage in patients with lumbar disc herniation, and finding out the significant channel or rhythm;

A comparison module was used to analyze the association of a channel or rhythm with a significant difference in VAS pain levels before and after manipulation in patients with lumbar disc herniation.

The beneficial effects of the above technical solution of the present invention are as follows:

The invention provides a method and a system for evaluating the massage effect of lumbar disc herniation patients, and preprocesses the electroencephalogram data of the patients with lumbar disc herniation before and after the extraction, and extracts the electroencephalogram data of the pre-treated lumbar disc herniation patients before and after massage. The eigenvalues were used to statistically analyze the eigenvalues of the patients with lumbar disc herniation before and after massage, and to analyze the changes of EEG signals before and after massage, to find out the significant channel or rhythm, and to analyze the patients with lumbar disc herniation before and after massage. The correlation between the channel or rhythm of the significant difference and the VAS pain level, the evaluation method and system for the massage effect of the lumbar disc herniation patient provided by the present invention obtains the characteristic value by performing a series of data processing on the collected EEG data, and performs statistics. Analysis, to find out the difference between before and after massage in patients with lumbar disc herniation, and then to carry out preliminary rehabilitation training evaluation of the massage effect, compared with the traditional imaging evaluation massage effect, it is non-invasive, convenient to measure in any place, and can reflect Out of motion anomalies that cannot be reflected by imaging Points, compared with the traditional score sheet to evaluate the effect of massage has the advantage of objective and accurate.

DRAWINGS

1 is a step of an evaluation method for the effect of massage of a patient with lumbar disc herniation according to an embodiment. Flow chart.

FIG. 2 is a flow chart showing the steps of statistically analyzing the characteristic values of the extracted lumbar disc herniation patients before and after manipulation, analyzing the changes of the EEG signals before and after the massage, and finding the channels or rhythms with significant differences according to an embodiment of the present invention. .

FIG. 3 is a schematic diagram showing the difference in approximate entropy of four rhythms of δ, θ, α, and β of four rhythms of 14 channels before and after massage in a lumbar disc herniation patient according to an embodiment of the present invention.

4 is a schematic diagram showing the difference in HHT marginal spectral entropy of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 5 is a schematic diagram showing the difference in approximate entropy of δ rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 6 is a schematic diagram showing the difference in approximate entropy of θ rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 7 is a schematic diagram showing the difference in approximate entropy of the α rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 8 is a schematic diagram showing the difference in approximate entropy of β rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 9 is a schematic diagram showing the difference in the HHT marginal spectral entropy of δ of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 10 is a schematic diagram showing the difference in HHT marginal spectral entropy of θ of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 11 is a schematic diagram showing the difference in the HHT marginal spectral entropy of α in 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 12 is a schematic diagram showing the difference in the HHT marginal spectral entropy of β in 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

FIG. 13 is a schematic structural diagram of an evaluation system for the effect of massage of a patient with lumbar disc herniation according to an embodiment of the present invention.

detailed description

In order to facilitate the understanding of the present invention, the present invention will be described more fully hereinafter with reference to the accompanying drawings. Preferred embodiments of the invention are shown in the drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the understanding of the present disclosure will be more fully understood.

All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. The terminology used in the description of the present invention is for the purpose of describing particular embodiments and is not intended to limit the invention.

As shown in FIG. 1, an evaluation method 100 for the massage effect of a patient with lumbar disc herniation according to an embodiment includes the following steps:

Step S110, collecting brain electrical data before and after massage in patients with lumbar disc herniation;

Preferably, in the step of collecting brain electrical data before and after massage of the lumbar disc herniation patient, the instrument for collecting brain electrical data of the patient with lumbar disc herniation is an EMOTIV EPOC brain electricity collecting instrument.

Specifically, the electrode placement of the EMOTIV EPOC brain electricity collecting instrument adopts the international 10/20 system standard, and the electrode simultaneously records the 14-electrode EEG data, and the 14 channels of the 14-electrode are AF3, F7, F3, and FC5, respectively. T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4, the electrode is an Ag/AGCI electrode, and the EEGIV EPOC brain electricity collecting instrument has an EEG sampling frequency of 128 Hz.

Step S120, preprocessing the electroencephalogram data of the lumbar disc herniation patient before and after massage;

Preferably, in the step of pre-treating the electroencephalogram data before and after the massage of the collected lumbar disc herniation patient, the pre-processing is a denoising process.

Further, the method of the denoising process is a wavelet packet transform.

It can be understood that a person's spontaneous EEG signal has a frequency range of about 1 to 30 Hz and is divided into four bands, namely (1 to 3 Hz) δ wave, 4 to 7 Hz θ wave, and 8 to 13 Hz α. Wave, 14 ~ 30Hz β wave, so the data is wavelet packet transform to extract 1-30HZ EEG signal.

It can be understood that for the traditional signal denoising method, the Fourier transform theory is mostly used, which can have a good effect. However, the spontaneous EEG signal has a frequency range of about 1 to 30 Hz and has a mutation. The non-stationary signal of nature, and the effect of filtering by Fourier transform theory will become very poor, because the frequency bands of signal and noise overlap each other. Therefore, the wavelet packet transform of the present invention has obvious effect on non-stationary signal processing. It has a good local time-frequency nature and can perform very detailed processing of non-stationary signals in the time-frequency domain.

It can be understood that, since the sampling frequency of the EEG collecting instrument used in the present invention is 128 Hz, it can be known from the Nyquist law that the maximum frequency component in the signal does not exceed 64 Hz. The present invention performs 6-layer wavelet packet decomposition on the EEG signal, and then obtains The frequency resolution is 64/2 ⁶ =1 Hz. However, the sub-bands after wavelet packet decomposition are not arranged according to the frequency, but are arranged according to the binary Gray code. The corresponding nodes of each frequency band are as follows: δ wave (1~3Hz) corresponds to the sum of wavelet nodes (6,1) and (6,3); θ wave (4~7Hz) corresponds to wavelet nodes (6,4), (6,6), (6,7) And; α wave (8 ~ 13Hz) corresponds to the sum of wavelet nodes (6, 8), (6, 12), (6, 13), (6, 14), (6, 15); β wave (14 ~ 30Hz Corresponding wavelet nodes (6, 10), (6, 11), (6, 16), (6, 17), (6, 18) (6, 19), (6, 22), (6, 23) , (6, 24), (6, 25), (6, 26), (6, 27), (6, 28), (6, 29), (6, 30), (6, 31) nodes with.

Step S130, extracting the pre- and post-operative lumbar disc herniation patient's brain electrical data before and after massage Value

Preferably, the characteristic values include approximate entropy and HHT marginal spectral entropy characteristic values of 14 channels before and after massage in lumbar disc herniation patients and approximate entropy and HHT of 4 rhythms (δ, θ, α and β) of 14 channels Marginal spectral entropy eigenvalues.

It can be understood that the approximate entropy is a nonlinear dynamic parameter of metric sequence complexity and statistical quantification proposed by Pincus in 1991. It is derived from KS entropy and is suitable for the complexity analysis of short-term sequences. Approximate entropy is a complex Sexual analysis method, which does not need to coarse-grain the time series, and can achieve stable values with only a short data, and has some characteristics that other complexity parameters do not have, and is well applied in some fields.

Approximate entropy uses a non-negative number to represent the complexity of a time series, reflecting the rate of new information in the time series. The more complex the time series corresponds to the approximate entropy, the study shows that the approximate entropy can represent the change of human physiological state. It is especially suitable for analyzing non-stationary biological signals such as EEG signals. The approximate entropy of the EEG sequence represents the probability of generating a new pattern in the EEG sequence. The greater the probability of generating a new pattern, the greater the complexity of the sequence and the larger the approximate entropy value. The approximate entropy is defined as:

ApEn(m,r,N)=φ ^m (r)-φ ^m+1 (r)

The present invention applies approximate entropy to four rhythms of 14 EEG signal channels and 14 EEG signal channels. In the present invention, when the parameters m=2, r=0.1, N=1024, the approximate entropy result is effective. .

Hilbert-Huang Transform (HHT) method, HHT method is a method for smoothing the signal. HHT can accurately give the law of frequency variation with time in the signal, avoiding false frequencies, etc. The redundancy phenomenon has clear physical meaning for dealing with nonlinear and non-stationary signals, and can obtain the amplitude-time-frequency distribution characteristics of the signal and is adaptive.

The HHT marginal spectral entropy is defined as:

Where p _k =h(k)/∑h(k) represents the probability that the kth frequency corresponds to the amplitude.

The entropy value is normalized to 0 to 1, then there is

In the formula, N is the length of the h(k) sequence.

The present invention applies HHT marginal spectral entropy to four rhythms of 14 EEG channels and 14 EEG channels, wherein the length of the signal is selected to be N=1024 according to the characteristics of the experimental hardware and signals.

Step S140, statistically analyzing the characteristic values of the extracted lumbar disc herniation patients before and after massage, analyzing the changes of the brain electrical signals before and after the massage, and finding the channels or rhythms with significant differences;

Referring to FIG. 2, statistical analysis is performed on the characteristic values of the extracted lumbar disc herniation patients before and after massage, and the changes of the EEG signals before and after the massage are analyzed to find the channel or rhythm of the difference, including the following steps:

Step S141: analyzing the difference in approximate entropy of four rhythms (δ, θ, α, and β) of 14 channels before and after massage in patients with lumbar disc herniation;

Please refer to FIG. 3 , which is a schematic diagram showing the difference in approximate entropy of four rhythms (δ, θ, α, and β) of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention, wherein, when p<0.05 For significant differences, * in the graph indicates a significant difference.

As can be seen in Figure 3, the channels F3, FC5, T7, P7, O2, P8, T8, and FC6 are significantly different (the p values in the hypothesis test are: p=0.032, p=0.026, p=0.036, p = 0.02, p = 0.032, p = 0.007, p = 0.02, p = 0.021).

Step S142: analyzing the HHT marginal spectrum of 14 channels before and after massage in patients with lumbar disc herniation Difference in entropy;

Please refer to FIG. 4 , which is a schematic diagram showing the difference of HHT marginal spectral entropy of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

It can be seen from Fig. 4 that the channels F7, FC5, P7, O2, P8, and FC6 are significantly different (the p values in the hypothesis test are: p=0.017, p=0.048, p=0.001, p=0.008, p = 0.014, p = 0.001).

Step S143: analyzing the difference in approximate entropy of four rhythms (δ, θ, α, and β) of 14 channels before and after massage in patients with lumbar disc herniation;

Please refer to FIG. 5 , which is a schematic diagram showing the difference in approximate entropy of δ rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

It can be seen from Fig. 5 that in the δ rhythm, the channels F3, P7, O2, P8, FC6, and F4 are significantly different (the p values in the hypothesis test are p=0.037, p=0.038, p=0.005, respectively). p = 0.012, p = 0.909, p = 0.029).

Please refer to FIG. 6 , which is a schematic diagram showing the difference in approximate entropy of θ rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

As can be seen from Fig. 6, in the θ rhythm, there is a significant difference in the channel O2 (assuming a P value in the test: p = 0.002).

Please refer to FIG. 7 , which is a schematic diagram showing the difference in approximate entropy of the α rhythm of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

It can be seen from Fig. 7 that in the α rhythm, the channels AF3, F3, FC5, P7, O1, P8, T8, and FC6 are significantly different (the P values in the hypothesis test are: p=0.009, p=0.002, respectively). , p = 0.001, p = 0.011, p = 0.006, p = 0.033, p = 0.011, p = 0.014).

Please refer to FIG. 8 , before and after massage of a patient with lumbar disc herniation according to an embodiment of the present invention. A schematic representation of the difference in the approximate entropy of the beta rhythm of a channel.

As can be seen from Fig. 8, in the beta rhythm, no significant difference was found in the channel.

Step S144: Analyze the difference in the HHT marginal spectral entropy of δ, θ, α, and β of the four rhythms of the 14 channels before and after massage in patients with lumbar disc herniation.

Please refer to FIG. 9 , which is a schematic diagram showing the difference of δ HHT marginal spectral entropy of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

As can be seen from Fig. 9, in the δ rhythm, there is a significant difference in the channel AF3 (the p value in the hypothesis test is: p = 0.024).

Please refer to FIG. 10 , which is a schematic diagram showing the difference of HHT marginal spectral entropy of θ of 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

As can be seen from Fig. 10, in the θ rhythm, there is a significant difference in the channel AF4 (the P value in the hypothesis test is: p = 0.01).

Please refer to FIG. 11 , which is a schematic diagram showing the difference of the HHT marginal spectral entropy of α in 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

As can be seen from Figure 11, there is a significant difference in channel FC5 in the alpha rhythm (p = 0.049).

Please refer to FIG. 12 , which is a schematic diagram showing the difference of the HHT marginal spectral entropy of β in 14 channels before and after massage in patients with lumbar disc herniation according to an embodiment of the present invention.

Referring to Figure 12, in the β rhythm, there are significant differences in the channels F3, P7, O1, P8, FC6, and F8. (The p values in the hypothesis test are: p=0.047, p=0.003, p=0.042, p =0.008, p=0.007, p=0.01).

Step S150: analyzing the channel or section of the lumbar disc herniation patient with significant difference before and after massage Correlation between the law and the VAS pain level.

Preferably, the correlation between the channel or rhythm with significant difference before and after the massage and the VAS pain level is analyzed, including the value of the channel or rhythm of the significant difference before and after the massage of the lumbar disc herniation patient, and then with the VAS pain level Correlation analysis.

Specifically, in the above step S140, the channel or rhythm in which the significant difference is present before and after the massage of the lumbar disc herniation patient is poor (the value before the massage - the value after the massage), and then the correlation analysis is performed with the VAS pain level.

Please refer to Table 1 for the correlation detection result of the HHT marginal spectral entropy difference and VAS before and after the massage provided by the embodiment of the present invention, and FIG. 2 is the HHT marginal spectral entropy difference and VAS of the P8 channel before and after the massage according to the embodiment of the present invention. The correlation detection result, Table 3 is the correlation detection result of the δ rhythm HHT marginal spectral entropy difference and VAS of the AF3 channel before and after the massage provided by the embodiment of the present invention, as can be seen from Tables 1, 2 and 3, O2 and The HHT marginal spectral entropy of the P8 channel and the HHT marginal spectral entropy of the δ rhythm of the AF3 channel are significantly correlated with the VAS pain level (correlation coefficients are: r=-0.444, r=-0.397, r=0.420 hypothesis test) The P values are: p=0.023, p=0.045, p=0.033)

FIG. 13 is a schematic structural diagram of an evaluation system 200 for a massage effect of a lumbar disc herniation patient according to an embodiment of the present invention, including: an acquisition module 210, a preprocessing module 220, a feature extraction module 230, an analysis module 240, and a comparison module. 250. among them:

The acquisition module 210 is configured to collect brain electrical data before and after massage of the lumbar disc herniation patient; the pre-processing module 220 is configured to pre-process the acquired electroencephalogram data of the lumbar disc herniation patient before and after massage; and the feature extraction module 230 is used for extracting the pre-processing The characteristic value of the EEG data before and after massage in the patient with lumbar disc herniation; the analysis module 240 is used for extracting the characteristic values before and after the massage of the lumbar disc herniation patient Statistical analysis was performed to analyze changes in EEG signals before and after massage in patients with lumbar disc herniation, to find out the channel or rhythm of difference; and Comparison Module 150 was used to analyze the channel or rhythm of significant differences between patients with lumbar disc herniation before and after massage. Correlation of VAS pain levels.

The detailed technical solution of the evaluation system 200 for the massage effect of the lumbar disc herniation patient has been described in detail in the method 100 for evaluating the massage effect of the lumbar disc herniation patient provided by the present invention, and will not be described herein.

The invention provides a method and a system for evaluating the massage effect of lumbar disc herniation patients, and preprocesses the electroencephalogram data of the patients with lumbar disc herniation before and after the extraction, and extracts the electroencephalogram data of the pre-treated lumbar disc herniation patients before and after massage. The eigenvalues were used to statistically analyze the eigenvalues of the patients with lumbar disc herniation before and after massage, and to analyze the changes of EEG signals before and after massage, to find out the different channels or rhythms, and to analyze the significantity of patients with lumbar disc herniation before and after massage. The correlation between the channel or rhythm of the difference and the VAS pain level, the method and system for evaluating the massage effect of the lumbar disc herniation patient provided by the present invention obtains characteristic values by performing a series of data processing on the collected EEG data, and performs statistical analysis. Find out the difference between before and after massage in patients with lumbar disc herniation, and then carry out preliminary rehabilitation training evaluation on the massage effect. Compared with the traditional imaging evaluation, it has non-invasive, convenient measurement in any place, and can reflect the image. The advantages of motion anomalies that cannot be reflected, Traditional score sheet to evaluate the effect of massage has advantages over objective and accurate.

The technical features of the above-described embodiments may be arbitrarily combined. For the sake of brevity of description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction between the combinations of these technical features, All should be considered as the scope of this manual.

The above-described embodiments are merely illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be determined by the appended claims.

Claims (10)

1. A method for evaluating the effect of massage of a patient with lumbar disc herniation, comprising the steps of:

   Collecting EEG data before and after massage in patients with lumbar disc herniation;

   Pre-processing the electroencephalogram data of the patients with lumbar disc herniation before and after massage;

   Extracting the characteristic values of the EEG data before and after manipulation of the pre-treated lumbar disc herniation patients;

   The characteristic values of the extracted lumbar disc herniation patients before and after massage were statistically analyzed, and the changes of EEG signals before and after massage were analyzed to find out the significant channel or rhythm;

   To analyze the correlation between the channel or rhythm of patients with lumbar disc herniation before and after massage and the level of VAS pain.
2. The method for evaluating the effect of massage of a patient with lumbar disc herniation according to claim 1, wherein in the step of collecting brain electrical data before and after massage of the patient with lumbar disc herniation, the instrument for collecting brain electrical data of the patient with lumbar disc herniation is EMOTIV EPOC EEG Collector.
3. The method for evaluating the massage effect of a patient with lumbar disc herniation according to claim 1, wherein the electrode placement of the EMOTIV EPOC brain electricity collecting instrument adopts the international 10/20 system standard, and the electrode simultaneously records 14 conductive electrode EEG. Data, the 14 channels of the 14-lead electrode are AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4, and the electrodes are Ag/AGCI electrodes, The EEG sampling frequency of the EMOTIV EPOC EEG is 128 Hz. The band of EEG data of patients with lumbar disc herniation includes δ wave of 1～3Hz, θ wave of 4～7Hz, α wave of 8～13Hz, 14～ 30 Hz beta wave.
4. The method for evaluating the effect of massage of a patient with lumbar disc herniation according to claim 3, wherein the step of pretreating the electroencephalogram data before and after the manipulation of the collected lumbar disc herniation patient The preprocessing is a denoising process.
5. The method for evaluating the effect of massage of a patient with lumbar disc herniation according to claim 4, wherein the method of denoising processing is wavelet packet transform.
6. The method for evaluating the massage effect of a patient with lumbar disc herniation according to claim 5, wherein the brain electrical data before and after massage of the lumbar disc herniation after wavelet packet transformation is arranged according to a binary Gray code, wherein each frequency band corresponds to The node conditions are as follows: the delta wave corresponds to the sum of the (6, 1) and (6, 3) wavelet nodes; the θ wave corresponds to the sum of the (6, 4), (6, 6), (6, 7) wavelet nodes; The α wave corresponds to the sum of the wavelet nodes (6, 8), (6, 12), (6, 13), (6, 14), (6, 15); the β wave corresponds to the wavelet node (6, 10), (6,11), (6,16), (6,17), (6,18)(6,19), (6,22), (6,23), (6,24), (6, 25), (6, 26), (6, 27), (6, 28), (6, 29), (6, 30), (6, 31).
7. The method for evaluating the effect of massage of a patient with lumbar disc herniation according to claim 6, wherein in the step of extracting characteristic values of electroencephalogram data before and after manipulation of the pre-treated lumbar disc herniation patient, the characteristic value includes Approximate entropy and HHT marginal spectral entropy eigenvalues of 14 channels before and after massage, and approximate entropy and HHT marginal spectral entropy eigenvalues of 14 channels of lumbar disc herniation, the four rhythms are δ, θ, α And β.
8. The method for evaluating the effect of massage of a patient with lumbar disc herniation according to claim 7, wherein the characteristic values of the patients with lumbar disc herniation before and after the extraction are statistically analyzed, and the changes of the brain electrical signals before and after the massage are analyzed. To find the channel or rhythm of the difference, including the following steps:

   To analyze the difference in the approximate entropy of the four rhythms δ, θ, α and β of 14 channels before and after massage in patients with lumbar disc herniation;

   To analyze the difference of HHT marginal spectral entropy in 14 channels before and after massage in patients with lumbar disc herniation;

   To analyze the difference in the approximate entropy of the four rhythms δ, θ, α and β of 14 channels before and after massage in patients with lumbar disc herniation;

   The differences in HHT marginal spectral entropy of four rhythms δ, θ, α and β in 14 channels before and after massage were analyzed in patients with lumbar disc herniation.
9. The method for evaluating the effect of massage of a patient with lumbar disc herniation according to claim 8, wherein a correlation between a channel or a rhythm having a significant difference before and after the massage and a VAS pain level, including a patient with lumbar disc herniation, is analyzed. The values of the channels or rhythms that differed before and after the massage were poor, and then correlated with the VAS pain level.
10. An evaluation system for the effect of massage of lumbar disc herniation patients, comprising:

    An acquisition module for collecting brain electrical data before and after massage in patients with lumbar disc herniation;

    a pre-processing module for pre-processing the brain electrical data before and after massage of the collected lumbar disc herniation patients;

    a feature extraction module, configured to extract characteristic values of brain electrical data before and after manipulation of the pre-treated lumbar disc herniation patient;

    The analysis module is used for statistical analysis of the characteristic values of the extracted lumbar disc herniation patients before and after massage, and analyzes the changes of the EEG signals before and after massage in patients with lumbar disc herniation, and finds the channel or rhythm with significant difference;

    A comparison module was used to analyze the association of a channel or rhythm with a significant difference in VAS pain levels before and after manipulation in patients with lumbar disc herniation.

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