In-vivo resonance detection and feedback system and method based on five-organ phase sound principle

Abstract

The invention relates to a traditional Chinese medicine audible diagnosis automatic system supported by an intelligent voice technology. The system comprises a basic information measurement and input module, an intervention setting and state monitoring module, a data generation module, an intervention strategy analysis and process optimization control module and a super-domain database generation module. Based on a resonance principle and a vibration conduction medium analysis technology, the system realizes in-vivo viscera eigenfrequency measurement of people and even other life bodies with distribution similar to those of human viscera organs; meanwhile, based on the five-internal-organ phase sound theory thought of traditional Chinese medicine and a deduction method thereof, drawing of a resonance frequency spectrum is completed, weak stress frequency points or dislocation resonance frequencies in the resonance frequency spectrum are found, a corresponding intervention method is given, body surface physical light stimulation feedback is established through frequency feedback, a frequency conversion guiding mechanism is established, and intervention and process feedback regulation and control are completed.

Description

Technical Field

[0001] The fields covered by this patent include: Traditional Chinese Medicine, automated design of TCM diagnostic methods, cognitive science, signal analysis, information integration, and intelligent recognition. Background Art

[0002] Individuals in the early stages of disease or in a sub-healthy state, like people in a diseased state, need to detect problems in a timely manner and give corresponding physical interventions. If this is done, it is often twice the result with half the effort. Since ancient times, there have been stories that Bian Que, who is good at curing diseases, is famous all over the world, while doctors who are good at preventing diseases are unknown. The development of contemporary medicine is far ahead of the industry situation of health maintenance, which shows that people's evaluation methods when dealing with health problems have not changed, that is, they often focus on the effectiveness of solving physical diseases rather than the level of health maintenance. People pay much more attention to diseases and invest more resources than they pay for health maintenance. Therefore, driven by the desire to solve diseases, medical technology has developed rapidly, while the health industry has been in its early stages for a long time. However, if we can make full use of the information sensing technologies such as electrophysiology available at this stage, we can also evaluate health without bias while evaluating diseases. The only thing that needs to be explored is the need to analyze the perspective from which to integrate data and establish solutions.

[0003] Traditional Chinese medicine is at the forefront of world medicine in understanding health, and the idea of ​​the five internal organs corresponding to each other is an important part of the theory of traditional Chinese medicine. It originated from the theory of the five elements in ancient philosophy, and combined music theory with the functions of the internal organs of the human body to form a unique concept of music health preservation and health conditioning. This theory corresponds the five notes of Gong, Shang, Jiao, Zhi, and Yu to the five internal organs of the human body, namely the heart, liver, spleen, lung, and kidney, and believes that the five notes not only have the attributes of music, but also can have a specific impact on the internal organs of the human body through their unique frequency and rhythm, thereby achieving the effect of health preservation and health conditioning. For example, the Jiao sound that enters the liver is described as round, long, clear, honest, warm and respectful, which can relieve liver depression and regulate qi; the Zhi sound that enters the heart is gentle and fluent, elegant and soft, which can nourish the heart and calm the mind and promote blood circulation; the Gong sound that enters the spleen is melodious and calm, warm and solemn, which can strengthen the spleen and stomach and nourish qi and blood; the Shang sound that enters the lungs is generous, sad and sad, miserable and agile, which is beneficial to clearing and moistening the lungs and enhancing the function of the respiratory system; the Yu sound that enters the kidneys is noble and clear, light and distant, which can nourish the kidneys and improve essence, improve intelligence and brain. According to the physiological characteristics of the five internal organs and the musical characteristics of the five notes, choosing appropriate music to listen to can play a role in health care. Specific Chinese medicine music therapy also corresponds the five notes to the diseases of the five internal organs, and adjusts the functions of the internal organs through music to achieve the purpose of conditioning health.

[0004] Although this theoretical methodology system still lacks digital analysis solutions and explanations, and has not been strictly defined as a medical solution, its health-enhancing effect is consistent with the direction of treatment in terms of its impact on life. In principle, all external physical impacts on people can be summarized as vibrations, and they all have the properties of vibrations. As for sound, its impact on people is divided into the visceral function feedback path based on human hearing and nerve stimulation, and the direct visceral resonance reaction path caused by sound wave physical vibration stimulation. After the five tones are divided into two parts, the former can naturally provide positive emotional-endocrine-visceral function regulation and stimulation in a state of pleasure; while the latter will also exert force on the state of life based on the principles of physics. The organs in a healthy state, while performing various physical and chemical functions, will also correspond to specific vibration frequencies from a physical perspective. When their functions change or their morphology becomes abnormal, their vibration frequencies will also change. If the abnormal vibration frequency is adjusted to a normal state through physical resonance intervention, the corresponding morphology and function may also be beneficially adjusted.

[0005] The device of this patent invention adopts the above viewpoints in its research and development concept, taking the resonance effect of the internal organs as a perspective, systematically developing the theory of the five internal organs, and generating a diagnosis and treatment model. The method of establishing the intrinsic frequency of the internal organs by applying an external frequency is also used to complete the intervention through external vibration excitation. Since this frequency range includes the low-frequency range of the resonance of the internal organs (1-20Hz) and the partial frequency band of the audible threshold of the human ear (20-200Hz), in the present invention, they are all summarized as research under the principle of the five internal organs.

[0006] Different organs of the human body have their own resonant frequencies, which may be affected by various factors such as genetics, environment, and age. Therefore, for different individuals, field measurements are first required. When the external stimulus matches the resonant frequency of a certain organ, the resonance phenomenon of the organ will be triggered, resulting in a higher absorption peak, which reduces the amplitude of the frequency detected at the end. During the resonance process, the acoustic energy of the sound can be transmitted and transformed between the organs, affecting the physiological functions of the organs, thereby achieving the purpose of regulating the functional state of the organs. The resonance effect can, for example, regulate the circulation of qi and blood, promote metabolism, and enhance immunity. At the same time, it can also regulate the psychological state of the human body, such as relieving anxiety and improving sleep. Based on this principle, the invention can transform the idea of ​​the five internal organs into a special human function diagnostic equipment through quantitative analysis, and can judge the precise physical properties of various organs of the human body through detection data analysis. At the same time, the resonance intervention of the target point is completed to achieve the purpose of health conditioning in a non-disease state. Summary of the invention

[0007] 1. Device Description The patent name of this invention is an in-vivo resonance detection and feedback system and method based on the principle of five internal organs, referred to as the system. The system includes the following in its hardware structure: (i) basic information measurement and input module, (ii) intervention setting and state monitoring module, (iii) data generation module, (iv) intervention strategy analysis and process optimization control module, and (v) super-domain database generation module. The system is based on the resonance principle and vibration transmission medium analysis technology to achieve in-vivo visceral intrinsic frequency measurement of humans and other living beings with similar distribution of human organs. At the same time, based on the theoretical ideas of the five internal organs of traditional Chinese medicine and its deduction method, the resonance frequency spectrum is drawn, and the "weak stress frequency point" or "dislocated resonance frequency" is found, and the corresponding intervention method is given, and the intervention feedback is completed by light stimulation to strengthen, or frequency conversion guidance, etc. Based on process monitoring, instant feedback control is achieved, and while improving safety performance, it can be used to study the regulation of low-frequency resonance on the stress intensity of internal organs at the physical level.

[0008] Specifically in the methodology, the process of executing its purpose can be described in detail. The system incorporates the principle of the five internal organs in traditional Chinese medicine theory, and based on the calculation and analysis of the physical characteristics of human body resonance, it realizes the detection of the resonance absorption peak of the relevant internal organs in the body based on the spectrum line of the absorption frequency in the process of applying the measured resonance frequency to a given area on the body surface, and realizes the drawing of the resonance frequency spectrum of the internal organs to complete the device's detection ability of the intrinsic frequency of the human internal organs. The intervention system of the device is distributed in two modules: (ii) intervention setting and state monitoring module, and (iv) intervention strategy analysis and process optimization control module. Its functions are to generate the original excitation of the measured resonant waveform based on the standard setting, and after obtaining the frequency spectrum curve, identify the weak resonance or abnormal deviation point, establish a controllable vibration source based on control, and adjust the abnormal deviation of the resonance of the internal organs. Based on the comparison of the effects before and after the intervention, including the personal subjective experience before and after the conditioning, the trend of data changes, etc., the effectiveness of the conditioning process is evaluated, and the "weak stress frequency points" in individual internal organs are continuously optimized and tracked through the superposition technology and secondary adjustment technology of data in the time domain, and the required intervention frequency, position and rhythm are found in combination with the standard template. Then, according to the intervention effect and feedback, the reciprocating cycle operation is further carried out. Finally, in the continuous tracking and adjustment application, data is gradually accumulated, and the device is used to measure, record and accumulate the unique resonant physical property data in the human life state, and finally the device provides health information and promotes health intervention effectiveness.

[0009] The (I) basic information measurement and input module in the system is responsible for guiding the input of information including: 1. Necessary information such as name, gender, date of birth, height, weight, chest circumference, waist circumference and sebum layer thickness, 2. Daily living information related to the TCM Ten Questions Song; 3. Physiological parameter collection, including the use of externally embedded voice (VS), heart sound (CS), electrocardiogram (ECG) and pressure (VP) signal sensor devices, and completing the quality verification of information during the measurement process. When the detected signal can prove that the filled-in information is abnormal, a prompt will be given and the modification confirmation will be set until the characteristics that the system can confirm are confirmed, and finally the storage of the input information is completed.

[0010] The (II) intervention setting and state monitoring module in the system is embedded with the viscera and meridian intervention model. The model is developed and designed based on the Chinese medicine meridian system and its viscera effects. It divides the viscera function characteristic conditioning area on the body surface to assist in the selection of intervention sites in the resonance intervention process. The model can generate initial suggestions for intervention methods based on the information obtained by the (I) basic information measurement and input module, after inputting the viscera and meridian intervention model, including the location, frequency, intensity, rhythm and time limit of the external physical vibration, and is set with a dual safety mechanism of instant abnormal feedback voice control end and signal end. The voice control end can stop the intervention immediately after recognizing a specific voice command. The signal end contains a pressure and ECG composite sensor probe, which needs to maintain signal access as a real-time monitoring tool during the execution of the intervention mechanism. Once a continuously increasing resonance peak point or abnormal heart rate is detected, it is forced to shut down regardless of whether the voice command from the voice control end is received, to meet the safety of the physical intervention process.

[0011] The (iii) data generation module in the system is designed with a corresponding algorithm model. Based on the original data obtained by the (i) basic information measurement and input module and the process signal data transmitted by the (ii) intervention setting and status monitoring module, the pulse absorption peak and trough recognition technology, the steady-state frequency low point recognition technology of the dynamic frequency conversion process, and the subjective and objective joint analysis technology of intervention tolerance are used to calculate the intrinsic frequency spectrum curve of the measured internal organs. By fusing and analyzing the subjective discomfort of the human body and the low value of the internal organs' absorption frequency domain and performing correlation calculation, the frequency range corresponding to the specific vibration sensation is confirmed. Through gradient pressurization and step-by-step frequency increase method, the vibration intensity estimation of the internal organs' tolerance is completed. Finally, the internal organs' resonance spectrum curve, the abnormal frequency points of the internal organs and the corresponding resonance intensity values, resonance response capabilities and resonance following capabilities are confirmed, and an individualized resonance frequency estimation calculation equation is generated as the health status evaluation data from the perspective of evaluating the resonance of the internal organs.

[0012] The (IV) intervention strategy analysis and process optimization control module in the system is responsible for completing the rationality evaluation of the estimated intervention frequency and intensity of the intervention site by integrating a complete set of process data for detecting interventions. It is responsible for monitoring the vibration transmission frequency and intensity of the intervention site through the opposite side of the viscera and body surface mapping area based on the sound intensity and frequency of the vibration source during the intervention process, and completing the mapping relationship diagram between the input frequency spectrum and the output frequency spectrum curve; it is responsible for adjusting the input frequency within the range of plus or minus 5Hz of the set frequency, observing the following effect of the mapping relationship of the frequency spectrum curve, so as to obtain and confirm the resonant absorption peak data that remains unchanged during the fluctuation process, and exclude pseudo data; it is responsible for establishing an analysis method for time-frequency fusion, designing a feature extraction and recognition scheme, identifying the long-term and short-term key rhythms of various signals, rhythm attribute characteristics, and amplitude dynamic characteristics with typical perception characteristics, inferring its own steady state, and drawing a multi-scale entropy characteristic curve.

[0013] The whole system collects information and data of the intervention process during simple detection and intervention. The data will be collected and monitored in real time in the (IV) intervention strategy analysis and process optimization control module to observe whether the various indicators of the internal organs in the resonance process are normal and provide process control, including data analysis and control based on the internal organs' resonance frequency spectrum and intervention-feedback intensity curve, voice interaction control of language conclusions that can be interactively verified, monitoring control of matching subjective and objective information of discomfort, and recording and confirming the vibration intensity and frequency control that causes discomfort, so as to improve the reliability of the new method.

[0014] The (five) super-domain database generation module in the system summarizes the data of the aforementioned diagnostic process and intervention process, and combines it with the intervention effect analysis to establish a database of the entire measurement and intervention process, which includes multi-level data such as time components, signal physiological lead characteristics, synchronization characteristics, and calculation characteristics. The data is verified based on the correlation among them, and the reliability of the data obtained by the automatic identification system is judged. After interactive verification of the suspicious values ​​of the equipment's quantitative analysis with human self-judgment, the final confirmation result is generated and merged into a data and graphic report.

[0015] The overall operation process of the system is as follows: (1) Input personal basic information, connect the sensors of the corresponding detection devices according to the standard, and place the vibration transmission device end at the designated part of the body; (2) Record the waveform completely before the measurement starts, and obtain effective signal data without interference for no less than 3 minutes; (3) After the measurement starts, during the vibration of the low-frequency resonance source, keep all kinds of sensor devices in the recording state, keep the intervention process information synchronized with the time axis, and then draw the intervention input frequency spectrum and the outgoing frequency spectrum after absorption on the opposite side, extract the high absorption peak area to form the resonance spectrum, and extract the low absorption peak area to form the weak absorption frequency value; (4) After the measurement is completed, you can choose whether to enter the intervention process. After entering the intervention process, the intervention frequency and intensity derived from the measurement data are modulated and output to the vibration source end, enter the intervention process and synchronously collect information for monitoring, and monitor the changes in the resonance frequency generated by the intervention process in real time; (5) After the intervention is completed, save all relevant measurement information, feedback the relevant subjective information characteristics to the human-computer interaction interface, accept human modification and confirmation, and then store the confirmed information into the data file.

[0016] The advantages of the system are its interpretability and continuous adjustment capabilities. Its interpretability can be based on the data obtained under various measurement and intervention conditions, as well as the characteristic factors of the relevant signal generation model, to try to understand the physiological principles behind such data, interpret its physiological significance and query indicators related to pathological indications. Based on the comparison before and after the intervention, the strategy can be continuously adjusted until the best is achieved. 2. Key technologies of the system 2.1 Selection and analysis methods of intervention points

[0017] The selection of the resonant frequency points of the internal organs refers to the intersection of the points of the two verification methods. First, the centroid of the body surface positioning is estimated, that is, the centroid projection range of the internal organs in the body surface projection area, and then the distribution and circulation range of the internal organs and meridians is estimated, and the intersection is found in the two areas to finally determine the intervention point. 2.2 Collection method of viscera intrinsic frequency resonance signal

[0018] First, find intervention and collection sites on the adjacent and opposite sides of the internal organs to obtain the resonant signal at the collection end.

[0019] In order to accurately obtain the resonance signals of the internal organs, this patent is based on the theory of Chinese medicine meridians, the projection area of ​​the internal organs and modern anatomical knowledge, and searches for the best intervention and collection sites on the adjacent side (i.e. the surface position close to the internal organs) and the opposite side (i.e. the relative position of the internal organs on the body surface) of the internal organs. The method adopted by this system is to select the center of mass of the surface projection area as the vibration excitation site according to the anatomical position of the internal organs and the surface projection area, and to use the surface position close to the intervention site and easy to operate as the collection site, and the distance between the detection point and the intervention point is kept within 3-5cm. At the same time, try to keep the detection site close to the Chinese medicine meridian route of the internal organs to improve its relevance and data efficiency.

[0020] After the adjacent collection site is determined, the contralateral collection site is established. The site is determined based on the intersection of the intervention point, the centroid and the measurement point of the internal organs on the body surface, and the site is as relevant as possible to the acupoints related to the internal organs. By detecting these sites, the functional status of the internal organs can be indirectly reflected.

[0021] Finally, the resonance signal is acquired. By applying a dynamic excitation source to the site, variable frequency delayed vibration is performed, with a vibration amplitude of 2mm-4mm, a vibration frequency of 1Hz-100Hz, stepless frequency conversion, 0.5Hz per span, and maintenance for 5s. Since some of the resonance signals acquired at the selected acquisition site are weak, these signals usually appear as weak bioelectric activities or mechanical vibrations, and need to be amplified and filtered to improve the signal-to-noise ratio. Therefore, the sensor superimposes a biological signal acquisition and amplification mechanism, such as a bioelectric amplifier, in the transmitted signal, and amplifies and identifies the signal when it is difficult to identify the signal. The indicators acquired include: the intervention amplitude curve acquired by the adjacent detection end, the response pressure difference curve of the adjacent area tissue, and the corresponding pressure difference curve of the contralateral area tissue acquired by the contralateral detection end. During the acquisition process, the environment needs to be kept quiet and stable to avoid the influence of external interference on the signal. At the same time, the choice of acquisition time is also very important, and it usually needs to be carried out in a time period when the organ function is relatively stable and easy to detect. 2.3 Description of key technical methods for calculating organ resonance frequency based on signals

[0022] Based on the vibration of the dynamic excitation source set at the reference detection site and the obtained feedback signal, the internal organs' eigenfrequency calculation method and equation are established.

[0023] Eigenfrequency calculation method and equation design: The obtained feedback signal is subjected to spectrum analysis to determine the various frequency components contained therein. Among these frequency components, the part related to the intrinsic frequency of the internal organs will show obvious peaks or resonance phenomena.

[0024] According to the results of spectrum analysis, we can establish the following equation to calculate the eigenfrequency of the internal organs: f Viscera = argmax f ( S ( f )) in: f Zangfu refers to the eigenfrequency of the zangfu. S(f) represents the spectral density function of the feedback signal, argmax(S (f)) Indicates S(f) The frequency f at which the maximum value is reached.

[0025] Further, according to the frequency band set of the resonance increasing curve in the frequency conversion process, all the frequency points where the eigenfrequency occurs are calculated, and a frequency spectrum curve is formed. It is necessary to first define the frequency band set of the resonance increasing curve, and then establish a series of target frequency bands based on the measured resonance increasing curve frequency band set: F ={ F 1, F 2,…, Fn} in, Be Indicates i The frequency range of a band.

[0026] Then determine the eigenfrequency. Be There may be one or more eigenfrequencies within a system. These eigenfrequencies are the frequencies of natural vibration of the system within this frequency band. In order to find the eigenfrequencies of each frequency band, it is necessary to establish a frequency point equation, because in a mechanical system, the eigenfrequencies may be related to the mass, stiffness and damping of the system. Therefore, it is very important to pre-collect and pre-analyze the relevant physical flexibility parameters of the body. The method used in this patent is that, taking into account the electromagnetic effects in the biological system, the inductance, capacitance and resistance of the corresponding parts must also be measured. Finally, based on all the eigenfrequency values, they are plotted on the frequency axis to form a frequency spectrum curve from a comprehensive perspective. This curve will show the distribution of the eigenfrequencies of the system in different frequency bands.

[0027] List the equations First define the frequency band curve: Be =[ you , bi ]( i =1,2,…, n ) in, you and bi They are i The start and end frequencies of a frequency band.

[0028] Eigenfrequency calculation equation: be =g ( Be )( i =1,2,…, n ) in, g It is a function defined according to the characteristics of the system. The influence of the surface tissue needs to be removed during the process, which can be determined by the increase ratio of the adjacent and contralateral resonance curves.

[0029] Frequency spectrum curve equation (implicit): Frequency Spectrum ={( f 1,1),( f 2,2),…,( fn , n )} This equation is implicit because it is actually a graphical representation rather than a mathematical equation. However, it describes how to convert the eigenfrequencies be Associated with their position on the frequency spectrum curve.

[0030] Through the above process, a method and equation for calculating the eigenfrequency of internal organs based on dynamic excitation source and feedback signal can be established. This method can realize the internal organ resonance analysis method based on the body surface resonance device, and support the clinical syndrome identification and health conditioning of traditional Chinese medicine. 2.4 Resonance Intervention Technology Based on Eigenfrequency Spectrum

[0031] After obtaining the resonant frequency spectrum of the internal organs, the corresponding frequency intervention device can be developed. Based on the volume of the internal organs estimated according to height and weight, the intrinsic frequency spectrum curve of healthy people is established, including two types of data: the intrinsic frequency spectrum and the slope of the resonant gain trend. Determine the frequency range of healthy people, and then compare the intrinsic frequencies of the sick people. After finding the biased resonance data, the frequency components of the deviation parts are externally corrected. In establishing the location, frequency, intensity, rhythm and time limit of the external physical vibration, the following requirements need to be met: 1. Meet the national standard requirements for human vibration safety The external physical vibration parameters, including the location, frequency, intensity, rhythm and duration of vibration, strictly comply with the national standards for human vibration safety. Based on the concepts defined in GB / T 15619-1995 "Terms of Mechanical Vibration and Shock to the Human Body", the key terms such as mechanical vibration, shock, human vibration evaluation index, vibration and shock measurement methods, and human response to vibration and shock are clearly defined. Based on GB / T 13441-1992 "Measurement Specifications for Whole-body Vibration Environment of the Human Body", the methods, requirements and related technical details for measuring whole-body and even local vibration in the human environment are specified, providing a scientific basis for the design of health intervention-related equipment to avoid stress damage to users.

[0032] 2. Related parameters can cover the resonance solution method The indicators obtained by the detection include the following indicators.

[0033] Frequency: The speed of vibration, usually expressed in Hertz (Hz).

[0034] Amplitude: The maximum displacement of vibration, usually expressed in millimeters (mm) or micrometers (μm).

[0035] Acceleration: The rate of change of vibration velocity, usually expressed in meters per second squared (m / s²).

[0036] Exposure time: The duration of time a person is exposed to a vibration environment. 2.5 Obtaining the resonance state of internal organs in real time during the intervention process

[0037] The intervention process requires real-time acquisition and monitoring of the resonance state of the internal organs in order to adjust the intervention strategy in a timely manner to ensure that the treatment is always in the best state. The monitoring end is still a signal combination with high sensitivity and accuracy used in the detection process, which provides support for the efficacy evaluation and safety maintenance of the treatment plan by providing instant feedback on the vibration of the internal organs.

[0038] In the signal feedback link, the extracted data content varies based on different signal types.

[0039] Among them, the basic health information section in the ECG signal includes: signal sampling frequency, format, amplitude (number of sampling points contained in each mV), sampling accuracy (bit resolution), zero point voltage position, initial value signal voltage position, duration and other indicators; QRS recognition accuracy, missed point statistics and other indicators; heart rate classification statistical interval, RR interval and its difference variance, root mean square, root square amplitude, minimum value, maximum value, amplitude maximum value, warp, slope. HRV statistics and other indicators; baseline drift, amplitude, primary and secondary slope and other indicators; rhythm conversion tone, frequency conversion scheme, sound effect statistics and other indicators; five-tone statistics, multi-scale entropy, resonance peak amplitude and position multi-scale entropy, ECG to rhythm peak height + position multi-scale entropy, HRV multi-scale entropy, RR multi-scale entropy, ECG multi-scale entropy and other entropy value features; Mel features and frequency band power accumulation, resonance peak feature frequency analysis and other indicators. A total of 385 items.

[0040] The speech VS signal and the heart sound CS signal belong to the same category of acoustic signals. Therefore, the relevant basic features and their respective independent feature analysis and design are carried out, and a total of 360 related common feature factor indicators are generated, which are briefly described as follows: The global basic data includes VAD speech recognition, speech duration, volume, sound pressure level, sound intensity level, zero crossing rate, noise recognition, etc.; the Mel spectrum includes Mel segment amplitude, mean, extreme value sequence, single frame speech peak number, peak difference, and maximum energy classification; the global frequency domain includes the speech feature distribution of the low-frequency sound part; the global time domain includes volume curve, rhythm characteristics, peak value, distribution, etc.; the FBEs frequency division includes speech intensity frequency division linearity, Mel power spectrum peak curvature, the relationship between position and peak value, and the frequency band sound intensity ratio relationship; the MAG time domain includes peak energy, standard deviation, trend, distribution, and ripple rate; the MAG frequency domain includes peak frequency, standard deviation, trend, distribution, and octave.

[0041] The unique features of the speech part are: in the auditory experience, it includes the sound of the floor drum, voice strength, sense of contour, clarity, dental sound, penetration, transparency, and low-high pitch ratio; in Chinese character recognition, it includes the number of pronounced syllables, effective Chinese character estimation, tremolo, terminal pitch rise, volume rise, speech interval characteristics, and the maximum frequency band time series length ratio; in the time domain characteristics between characters, it includes the volume difference mean, standard deviation, trend, fluctuation curvature, height difference, steepness, normalization characteristics, and auditory loudness; in the frequency domain characteristics between characters, it includes the frequency difference mean, standard deviation, Trend, fluctuation curvature, height difference, steepness, normalized characteristics, auditory loudness; in the main audio band, including 80-1000Hz interval, basic energy; in the high frequency band, including 1000-3000Hz interval, brightness characteristic energy; in the ultra-high frequency band, including 3000-8000Hz interval, crispness, penetrating energy; in complexity, including voice level, richness index of tone change; in emotional analysis, including indicators such as temperament urgency and voice complexity; in qi, blood and body fluid indicators, including hoarseness of voice and cold and heat coefficient. A total of 185 feature data.

[0042] The unique features of the heart sound part are: in the infrasound band, including the 1-20Hz interval, observing the peak feature data; in the five-tone matching, including the pitch, rhythm characteristics, frequency of occurrence, the closest value, etc.; in the three-burner syndrome differentiation, including the sound frequency distribution ratio corresponding to the upper, middle and lower burners, and in the viscera fragility estimation, including the estimation of the infrasound frequency corresponding to the five internal organs. A total of 61 feature data.

[0043] The system can add pressure data, and the pressure VP waveform signal can generate 134 related characteristic factor indicators, which are briefly described as follows: The global basic data includes 8 indicators, including the main wave of each beat, the dicrotic wave, the descending gorge, and the first trough area after the dicrotic wave; the waveform analysis includes the absolute value of the main wave and dicrotic wave height, the height difference curve, the rising and falling slopes, and a total of 25 indicators; the rhythm characteristics include multi-scale entropy rhythm, maximum value, Kmeans distribution, abnormal point and abnormal state analysis, a total of 57 indicators; the global frequency domain includes fft peak energy, standard deviation, trend, distribution, ripple rate, and fft distribution characteristics of the low-frequency rhythm part, a total of 19 indicators. In the respiratory wave PW calculation scheme, by extracting the waveform of the respiratory wave, the characteristics such as the breath-to-pulse ratio can be obtained, a total of 25 indicators. A total of 134 indicators. 3. Key technologies for TCM syndrome identification

[0044] Based on a large number of continuous characteristic factor inputs, it is necessary to establish a data model for TCM diagnosis to carry the data, and to establish a five-element classification quantitative data set indicator. This patent incorporates the TCM five-tone five-element, viscera, triple energizer, eight principles, qi, blood, body fluids and syndrome differentiation theory to achieve the corresponding quantitative strategy of the dialectical method. This system adopts the process model method of the five-element theory, which has been published in an article and is therefore not included in the claims.

[0045] (1) Eight-category dialectics: Based on the process model of the Five Elements principle, the original attributes of the characteristic units are summarized, and the proportional relationship between ES and SS data is used to evaluate "cold" and "heat"; AP and ES are combined to express "surface"; DP and SS are combined to express "interior"; the proportion of NS in AP, DP, ES and SS is compared to evaluate the "deficiency" and "excess" of the middle qi; finally, yin, exterior and cold are combined to judge "yin"; yang, interior and heat are combined to judge "yang".

[0046] (2) The method of differentiation of the rise and fall of Qi movement, entry and exit, compares the absolute value and proportional relationship of AP and DP to form a quantitative description of the rise and fall of Qi movement.

[0047] The ratio between AP and ES is used to express the proportion of the generative force and the excited state elements, and to evaluate the strength of "out". The proportional relationship between DP and SS is used to express the proportion of the convergent force and the low-value state elements, and to express the level of "in".

[0048] (3) Zang-fu dialectics: AP, DP, NS, ES and SS are respectively mapped to the five internal organs of the heart, liver, spleen, lung and kidney, forming a distribution map of the strength of the internal organs at the individual level. Then, according to the tendency of the test data, the characteristics of the ECG signal type are refined to correspond to the heart; the characteristics of the VP signal type are refined to correspond to the lung; the characteristics of the VS signal type are refined to correspond to the spleen; the characteristics of the CS signal type are refined to correspond to the liver; the correlation and stability signal characteristics of the above signals are refined to correspond to the kidney, forming a five-element subdivision for the internal organs' functions; obtaining the second-order evaluation data of the Yin-Yang and Five-element attributes of the internal organs at the two levels of individual perspective and internal organs perspective, and realizing the differentiation of internal organs.

[0049] (4) Qi, blood, body fluid and other syndrome differentiation method: separation of impedance information in ECG, "noise" component in voice VS, PW and evaluation of body fluid status, combined with voice volume, frequency resonance peak and frequency domain distribution, to determine the deficiency or excess of qi and blood and the distribution status of body fluid in the sample.

[0050] (5) Emotional differentiation: It can extract the speed and spontaneous fluctuation ability of rhythmic characteristics, obtain the "urgent" and "slow" characteristics of emotions, and make collaborative judgments through the monitoring of ECG, VP and other lead signals to assess the current emotional state of the individual.

[0051] By utilizing the characteristics of the five tones of Jiao, Zheng, Gong, Shang and Yu within the audible threshold, we can identify the five tones of an individual, complete the individual bias foundation based on the five tones, and form a five-tone internal organ diagnosis system.

[0052] (6) Calculate the complexity of speech temporal frequency and analyze the richness of the emotional expression of the sample language. 4. Optimizable solutions

[0053] After establishing a comprehensive individual database, the data pattern of any lead can be used independently. Although the accuracy will be reduced, the convenience of detection can be improved in application. 5. Intervention System

[0054] After obtaining the frequency spectrum curve and the corresponding eigenfrequency value, the abnormal point can be identified by comparing it with the samples of healthy people. When an abnormal point is found, a physical vibration feedback conditioning method for the abnormal point is established to set the frequency setting of the intervention device to the nearest normal resonant frequency and match its amplitude with the detected tolerance amplitude. The intervention time is initially set to five minutes and is adjusted immediately according to the intervention effect.

[0055] In terms of intervention mode, the system uses progressive conditioning by default, that is, the vibration intensity, frequency and duration gradually increase to adapt to individual differences and avoid immediate discomfort. However, in order to meet the needs of different users or specific conditioning goals, the system also supports manual setting of other types of intervention modes: Average: Vibration parameters (such as frequency and amplitude) remain relatively stable within the set range, aiming to promote the body's adaptation and adjustment through continuous and stable stimulation.

[0056] Pulse: Vibration is applied intermittently in the form of short pulses with a certain rest period between each pulse. This mode is more suitable for conditioning scenarios that require intense but intermittent stimulation.

[0057] Random: The vibration parameters vary randomly within a certain range, simulating the complex vibration environment of nature, which may help stimulate the body's self-regulation and adaptability.

[0058] Through these diverse intervention modes, the conditioning program can be flexibly adjusted according to the user's specific situation and response, and the best conditioning program can be established more quickly. 5.1 Intervention dose selection

[0059] In the above physical vibration feedback conditioning method, the selection of dosage is a key step, which is directly related to the conditioning effect and the user's comfort. The following is a detailed explanation of the dosage selection method: (1) Basic principles Personalized principle: Dosage selection should be based on the specific circumstances of the user, including age, gender, physical condition, severity of the disease, etc., to ensure the safety and effectiveness of conditioning.

[0060] Principle of gradual adjustment: The initial dose is usually low, and then gradually adjusted according to the user's response to achieve the best conditioning effect.

[0061] Monitoring and evaluation principles: During the conditioning process, the user's reaction and changes in condition should be closely monitored, the conditioning effect should be evaluated in a timely manner, and the dosage should be adjusted based on the evaluation results.

[0062] (2) Dose selection method Dose selection for progressive intervention Initial dose setting: According to the specific situation of the user and the severity of the disease, set a relatively low initial dose, such as lower vibration intensity, frequency and duration.

[0063] Dose escalation: In the early stages of conditioning, gradually increase the vibration intensity, frequency and / or duration to observe the user's response and conditioning effect. The magnitude of the increase should be determined based on the user's tolerance and conditioning goals.

[0064] Stable dosage: When a certain conditioning effect is achieved and the user has no obvious discomfort, the current dosage can be maintained stable for a period of time to consolidate the conditioning effect.

[0065] Dosage adjustment: If the user experiences discomfort during the conditioning process or the conditioning effect is poor, the dosage should be adjusted according to the specific situation, such as reducing the vibration intensity or frequency, or extending / shortening the duration.

[0066] (3) Dosage selection for other intervention modes Average type: Keeps vibration parameters relatively stable within the set range, but can be fine-tuned based on user response and conditioning effects.

[0067] Pulse type: Parameters such as pulse duration, interval time and vibration intensity should be determined according to the specific situation and conditioning goals of the user. For example, for users who need strong stimulation, a higher vibration intensity and a shorter interval time can be selected; for users who need gentle stimulation, a lower vibration intensity and a longer interval time can be selected.

[0068] Random type: The randomly changing vibration parameters should be set within a certain range to ensure the safety and effectiveness of the conditioning. At the same time, the user's reaction and conditioning effect should be closely monitored so that the parameters can be adjusted in time. 5.2 Control standards

[0069] Safety: Safety is the highest priority in the dosage selection process. Although simple physical vibration rarely causes safety problems, safety is still given top priority in the design process to avoid using too high a dose that may cause discomfort or injury to the user.

[0070] Effectiveness: Based on the safety warning model, the intensity of intervention can be adjusted in order to pursue the effectiveness of conditioning, in order to significantly improve the user's symptoms or condition.

[0071] Comfort: During the conditioning process, attention should be paid to the user's comfort and avoid using a dose that makes the user feel uncomfortable. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 .Overall signal analysis process

[0074] In the figure, (i) basic information measurement and input module, (ii) intervention setting and state monitoring module, (iii) data generation module, (iv) intervention strategy analysis and process optimization control module, and (v) super domain database generation module. The whole process is shown in the figure. DETAILED DESCRIPTION

[0075] The steps described in the content of the invention can be easily implemented, and typical embodiments are listed for illustration.

[0076] The implementation process is divided into the following steps: 1. Sample Preparation

[0077] Debug the equipment, ensure it starts up smoothly, and prepare the test samples. Three hours before testing 2. Measurement and positioning 2.1 Body surface positioning center of mass estimation

[0078] First, according to the theory of traditional Chinese medicine and modern anatomical knowledge, the anatomical position, morphology and surface landmarks of the internal organs are comprehensively considered to determine the projection area of ​​the internal organs on the body surface. In the determined projection area, the center of mass position of the internal organs in the body surface projection area is calculated using mathematical methods (such as the geometric center method, the center of mass method, etc.), and the "center point" positioning coordinates of the internal organs on the body surface are established. According to the center of mass position, combined with the shape and size of the internal organs, a reasonable center of mass projection range is estimated. This range will serve as the basis for subsequent intersection searches. 2.2 Estimation of the distribution and range of the zang-fu meridians

[0079] We sorted out the descriptions of the circulation routes of the zang-fu meridians in the classic literature of traditional Chinese medicine, and clarified the circulation paths of the zang-fu meridians on the body surface. Based on the circulation routes of the meridians, combined with modern anatomical knowledge, and taking into account factors such as the direction, branches, and intersections of the meridians with other meridians, we determined the distribution range of the zang-fu meridians on the body surface. 2.3 Find the intersection and determine the point

[0080] The projection range of the center of mass estimated by the surface positioning center of mass is superimposed with the refined range estimated by the distribution and circulation range of the zang-fu meridians to find the intersection area of ​​the two. In the intersection area, one or more optimal intervention points are selected according to the functional characteristics of the zang-fu organs, the circulation rules of the meridians, and the surface marks. These points will serve as the key positions for frequency application and subsequent zang-fu resonance frequency intervention. 3. Detection start

[0081] Apply the frequency to the selected intervention points through clinical practice or experimental research, and click the start button to complete the measurement. Ensure its effectiveness and safety. According to the verification results, make necessary adjustments and optimizations to the points. 4. Calculate and compare the eigenfrequency spectrum curves

[0082] Further, according to the frequency band set of the resonance increasing curve in the frequency conversion process, all the frequency points where the intrinsic frequency occurs are calculated, and a frequency spectrum curve is formed. After comparing with the healthy curve, the abnormal points are extracted and fed back to the (IV) intervention strategy analysis and process optimization control module. 5. Intervention feedback

[0083] After the signal is identified, it automatically checks whether there is an abnormality. If so, it will ask for feedback. When the feedback is "yes", intervention is initiated.

[0084] Understand the technical solution of the present invention. However, these embodiments are only examples, and it cannot be determined that the specific implementation of the present invention is limited to the description of these embodiments. For ordinary technicians in the technical field to which the present invention belongs, several simple deductions and transformations can be made without departing from the concept of the present invention, which should be regarded as belonging to the protection scope of the present invention.

Claims

1. The patent name of this invention is "In-body resonance detection and intervention system and method based on the idea of ​​five internal organs", referred to as "system", which includes: (i) Basic information measurement and input module, (ii) Intervention setting and status monitoring module, (iii) Data generation module, (iv) Intervention strategy analysis and process optimization control module, (v) Super domain database generation module; Based on the resonance principle and vibration conduction medium analysis technology, the system can measure the intrinsic frequency of the internal organs of humans and other living beings with similar distribution of internal organs to that of the human body; At the same time, based on the theoretical ideas of the five internal organs of traditional Chinese medicine and its deduction method, the resonant frequency spectrum is drawn, and the "weak stress frequency point" or "misplaced resonant frequency" is found, and the corresponding intervention feedback method is given, and intervention is carried out through light stimulation to strengthen, or variable frequency guidance, etc., and based on process monitoring, instant feedback control is achieved to improve safety performance, and serve the research on the regulation ability of low-frequency resonance on the health of internal organs at the physical level.

2. According to the system of claim 1, the basic information measurement and input module is responsible for guiding the input information to include:

1. Necessary information such as name, gender, date of birth, height, weight, chest circumference, waist circumference and sebum layer thickness, 2. Daily living information related to the TCM Ten Questions Song; 3. Physiological parameter collection, including the use of externally embedded signal sensors such as voice (VS), heart sound (CS), electrocardiogram (ECG) and pressure (VP), and completing quality verification and storage of information during the measurement process.

3. According to the system described in claim 1, the (ii) intervention setting and state monitoring module is embedded with an internal organs and meridians intervention model, and can generate initial intervention suggestions based on the information obtained by the (i) basic information measurement and input module after the internal organs and meridians intervention model is input, including the location, frequency, intensity, rhythm and time limit of the external physical vibration. The state monitoring module is set with a dual safety mechanism of instant abnormal feedback voice control end and signal end. The voice control end can stop intervention immediately after recognizing a specific voice command. The signal end includes a pressure and ECG composite sensor probe, which needs to maintain signal access as a real-time monitoring tool during the execution of the intervention mechanism. Once a continuously increasing resonance peak point or abnormal heart rate is detected, it is forced to shut down regardless of whether a voice command from the voice control end is received, thereby meeting the safety of the physical intervention process.

4. According to the system described in claim 1, a corresponding algorithm model is designed in the (iii) data generation module, which can establish a secondary algorithm model based on the original data obtained by the (i) basic information measurement and input module and the process signal data transmitted by the (ii) intervention setting and status monitoring module, and adopt the pulse absorption peak and trough recognition technology, the steady-state frequency low point recognition technology of the dynamic frequency conversion process, and the intervention tolerance subjective and objective joint analysis technology to calculate the intrinsic frequency spectrum curve of the measured internal organs, and through the fusion analysis and correlation calculation of the subjective discomfort of the person and the low value of the internal organs absorption frequency domain, confirm the frequency range corresponding to the specific vibration feeling, and complete the vibration intensity estimation of the internal organs tolerance through gradient pressurization and step-by-step frequency increase method, and finally confirm the internal organs resonance spectrum curve, the internal organs abnormal frequency points and the corresponding resonance intensity values, the resonance response ability and the resonance following ability, and generate an individualized resonance frequency estimation calculation equation as the health status evaluation data from the perspective of evaluating the resonance of the internal organs.

5. According to the system described in claim 1, the (iv) intervention strategy analysis and process optimization control module is responsible for completing the rationality evaluation of the estimated intervention frequency and intensity of the intervention site by integrating a complete set of process data for detecting interventions, and is responsible for monitoring the vibration transmission frequency and intensity of the intervention site through the opposite side of the viscera and body surface mapping area based on the sound intensity and frequency of the vibration source during the intervention process, and completing the mapping relationship diagram between the input frequency spectrum and the output frequency spectrum curve; is responsible for adjusting the input frequency within the range of plus or minus 5 Hz of the set frequency, observing the following effect of the mapping relationship of the frequency spectrum curve, thereby obtaining and confirming the resonant absorption peak data that remains unchanged during the fluctuation process, and excluding pseudo data; is responsible for establishing an analysis method for time-frequency fusion, designing a feature extraction and recognition scheme, identifying the long-term and short-term key rhythms of various signals, rhythm attribute characteristics, and amplitude dynamic characteristics with typical perception characteristics, inferring its own steady state, and drawing a multi-scale entropy characteristic curve.

6. According to the system described in claim 1, the information collection and data of the intervention process will be collected and monitored in real time in the (iv) intervention strategy analysis and process optimization control module to observe whether the various indicators of the internal organs in the resonance process are normal and provide process control, including data analysis and control based on the internal organs' resonance frequency spectrum and intervention-feedback intensity curve, voice interaction control of language conclusions that can be interactively verified, monitoring control of matching subjective and objective information of discomfort, and recording and confirming the vibration intensity and frequency control that produces discomfort, so as to improve the reliability of the new method.

7. According to the system described in claim 1, its (v) super-domain database generation module summarizes the data of the aforementioned diagnosis process and intervention process, combines the intervention effect analysis, and summarizes and establishes a database of the entire measurement and intervention process, including multi-level data such as time components, signal physiological lead characteristics, synchronization characteristics, and calculation characteristics. The data is verified based on the correlation therein, and the reliability of the data obtained by the automatic identification system is judged. After the suspicious values ​​of the equipment quantitative analysis are interactively verified with the self-judgment of the person, the final confirmation result is generated and merged into a data and graphic report.

8. The overall workflow of the system according to claim 1 is as follows: (1) input personal basic information, connect the sensor of the corresponding detection device according to the standard, and place the vibration transmission device end at the designated part of the body; (2) record the waveform completely before the measurement starts, and obtain effective signal data without interference for no less than 3 minutes; (3) after the measurement starts, during the vibration of the low-frequency resonance source, keep all kinds of sensor devices in the recording state, keep the information of the intervention process synchronized with the time axis, and then draw the intervention input frequency spectrum and the outgoing frequency spectrum after absorption on the opposite side, extract the high absorption peak area to form the resonance spectrum, and extract the low absorption peak area to form the weak absorption frequency value; (4) after the measurement is completed, you can choose whether to enter the intervention process. After entering the intervention process, the intervention frequency and intensity derived from the measurement data are modulated and output to the vibration source end, enter the intervention process and synchronously collect information and monitor, and monitor the changes in the resonance frequency generated by the intervention process in real time; (5) after the intervention is completed, save all relevant measurement information, feedback the relevant subjective information characteristics to the human-computer interaction interface, accept the modification and confirmation of the person, and then store the confirmed information into the data file.

9. According to the system described in claim 1, for the data under various measurement and intervention conditions, and the characteristic factors of the related signal generation model, it is possible to try to understand the physiological principles behind such data, interpret its physiological significance and query indicators that are correlated with pathological indications.

10. According to the system described in claim 1, the description of the above content in the patent is an exemplary illustration of this type of system. In view of the measurement-intervention model created by the pathogenesis design and the traditional Chinese medicine principles, deduction models and feedback technologies behind it, within the scope of the technicians' routine association, the invention designs of changing signal leads, changing algorithm names, adjusting data weights to adapt to specific health goals, etc. can all be considered to be similar to the content protected by this patent.

Images