CN111714088B - Human body characteristic index detection method and system based on traditional Chinese medicine principle - Google Patents
Human body characteristic index detection method and system based on traditional Chinese medicine principle Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
Abstract
The invention relates to the technical field of traditional Chinese medicine examination, in particular to a human body characteristic index detection method and a human body characteristic index detection system based on a traditional Chinese medicine principle, wherein the system comprises the following components: the device comprises one or more signal acquisition devices and a processing module, wherein the one or more signal acquisition devices are used for at least acquiring one or more of respiratory heartbeat signals, meridian point electric wave signals and infrared body temperature electric wave signals of a human body, and the processing module is used for obtaining one or more human body characteristic indexes according to the one or more of the respiratory heartbeat signals, the meridian point electric wave signals and the body temperature signals. The human body characteristic indexes have more reference functions in the traditional Chinese medicine diagnosis, so that the diagnosis result is more accurate, and meanwhile, by adopting the detection system of the embodiment, a doctor does not need to adopt an instrument with a single function to measure the characteristic indexes item by item, so that the diagnosis efficiency is improved.
Description
Technical Field
The invention relates to the technical field of traditional Chinese medicine examination, in particular to a human body characteristic index detection method and system based on a traditional Chinese medicine principle.
Background
Under the guidance of the theories of systems such as the integration of the heaven and the human body, yin and yang, five elements, five internal organs, meridian points and the like, the traditional Chinese medicine diagnoses by looking at and smelling the theory and by applying meridian dialectics, six-meridian dialectics, viscera dialectics, three-jiao dialectics, wei-defensive-qi-ying-blood dialectics, qi-blood-body fluid dialectics, eight-principle dialectics and the like, makes a great contribution to the development of the multiplication of Chinese nationality, still serves the healthy life of people till now, is the most important cultural heritage in China, and has immeasurable medical value. However, due to recent historical reasons, traditional Chinese medicine lacks a corresponding diagnostic instrument, and although some researches on tongue diagnosis, ear diagnosis and pulse diagnosis and simple equipment exist, some characteristic indexes or characteristic data of a human body can be detected, and the characteristic indexes or the characteristic data can provide a certain reference function in traditional Chinese medicine diagnosis, but the characteristic indexes are not enough to effectively meet the reference requirements in traditional Chinese medicine diagnosis.
Disclosure of Invention
The invention mainly solves the technical problem that the human body characteristic indexes obtained by the existing auscultation equipment are few, and the reference requirement in the traditional Chinese medicine diagnosis is difficult to meet.
A human body characteristic index detection system based on the principle of traditional Chinese medicine comprises:
one or more signal acquisition devices, wherein the signal acquisition devices are used for acquiring at least one or more of respiratory heartbeat signals, meridian point signals and body temperature signals of a human body;
and the processing module is used for obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point signal and the body temperature signal, and the human body characteristic indexes are used for representing the corresponding physiological state information of the human body.
In one embodiment, the method comprises the following steps: a breath heartbeat signal acquisition device, a meridian point signal acquisition device and a body temperature signal acquisition device;
the breath heartbeat signal acquisition device is used for acquiring breath heartbeat signals of a human body; the meridian point signal acquisition device is used for acquiring meridian point electric wave signals of a human body; the body temperature signal acquisition device is used for acquiring infrared body temperature light wave signals of a human body;
the processing module is used for obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point signal and the body temperature signal, and comprises the following steps:
the processing module obtains one or more qi and blood characteristic indexes according to the breathing heartbeat signal, and the qi and blood characteristic indexes are used for representing the qi and blood state of the human body;
the processing module obtains one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals, and the viscera six-channel characteristic indexes are used for representing viscera states and six-channel states of a human body;
the processing module obtains one or more body temperature characteristic indexes according to the infrared body temperature light wave signals, and the body temperature characteristic indexes are used for representing the state of the body, the defensive qi, the nutrient blood and the like.
In an embodiment, the system further includes a keyword correspondence module, configured to obtain a corresponding keyword used for representing human physiological state information according to the one or more human characteristic indicators.
In an embodiment, the system further comprises an output module, configured to output the human body characteristic index and the keyword.
In one embodiment, the obtaining, by the keyword correspondence module, a corresponding keyword for representing human physiological state information according to the one or more human characteristic indicators includes:
the keyword corresponding module obtains keywords for representing the qi and blood state information of the human body according to the qi and blood characteristic indexes;
the keyword corresponding module obtains keywords for representing the state information of the viscera of the human body and keywords for representing the state information of the six meridians according to the characteristic indexes of the six meridians of the viscera;
and the keyword corresponding module obtains keywords for representing the state information of the human body health, qi, ying and blood according to the body temperature characteristic indexes.
In one embodiment, the processing module is configured to obtain one or more qi-blood characteristic indicators from the respiratory heartbeat signal, and includes:
the processing module calculates a respiration rate rr sequence according to the respiration heartbeat signal, and performs linear analysis on the respiration rate rr sequence to obtain one or more linear characteristic indexes used for representing the qi state, and/or performs nonlinear analysis on the respiration rate rr sequence to obtain one or more nonlinear characteristic indexes used for representing the qi state;
the linear characteristic index for representing the gas state includes: at least one of a mean AVRR of the rr sequence, a standard deviation SDRR of the rr sequence, a root mean square rmsd of adjacent rr difference values in the rr sequence, and a standard deviation SDSD of adjacent rr difference values in the rr sequence;
the non-linear characteristic indicator for representing the gas state comprises a characteristic indicator obtained by performing entropy analysis on the rr sequence, and the characteristic indicator obtained by the entropy analysis comprises: at least one of rr sequence vertical distribution information entropy Sdh, rr sequence power spectrum vertical distribution information entropy Sph and rr sequence power spectrum full-frequency-band distribution information entropy Spf.
In one embodiment, the processing module is configured to obtain one or more qi-blood characteristic indicators from the respiratory heartbeat signal, and includes:
the processing module calculates an electrocardio pRRx sequence according to the respiration heartbeat signal, and performs linear analysis on the electrocardio pRRx sequence to obtain one or more linear characteristic indexes for representing the blood state and/or performs nonlinear analysis to obtain one or more nonlinear characteristic indexes for representing the blood state; the pRRx sequence of any section of electrocardiosignal is calculated in the following mode: calculating the ratio of the number of adjacent RR intervals in the section of electrocardiosignal which is greater than the threshold value x milliseconds to the number of all RR intervals, and obtaining the ratio corresponding to each threshold value x by setting the threshold values x with different values, wherein the ratios form the pRRx sequence;
the linear characteristic indicators of the blood state include: at least one of a mean AVRR for pRRx sequences, a standard deviation SDRR for pRRx sequences, a root mean square rmsd for adjacent pRRx differences in pRRx sequences, and a standard deviation SDSD for adjacent pRRx differences in pRRx sequences;
the nonlinear characteristic index of the blood state comprises a characteristic index obtained by performing entropy analysis on the pRRx sequence, and comprises the following steps: entropy S of pRRx sequence histogram information dh pRRx sequence power spectrum vertical distribution information entropy S ph pRRx sequence power spectrum full-band distribution information entropy S pf At least one of (a).
In one embodiment, the processing module obtains one or more viscera six-meridian characteristic indexes according to the meridian point electric wave signals comprises:
the processing module calculates an electrocardio pRRx sequence according to the respiration heartbeat signal; the characteristic indexes of the six meridians of the viscera comprise: a difference value RN between a peak value of the electrocardio pRRx sequence and a peak value of a meridian point electric wave signal and a period NN of the meridian point electric wave signal;
the processing module according to infrared body temperature light wave signal obtains one or more body temperature characteristic index and includes: the processing module obtains a human body left and right limb body temperature difference sequence, an upper and lower limb body temperature difference sequence according to the infrared body temperature light wave signal, and the body temperature characteristic indexes comprise the human body left and right limb body temperature difference sequence, the upper and lower limb body temperature difference sequence.
A human body characteristic index detection method based on the principle of traditional Chinese medicine comprises the following steps:
acquiring one or more of respiratory heart-beat signals, meridian point electric wave signals and infrared body temperature electric wave signals of a human body;
and obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point electric wave signal and the infrared body temperature electric wave signal, wherein the human body characteristic indexes are used for representing corresponding physiological state information of a human body.
In one embodiment, the obtaining one or more human body characteristic indexes according to one or more of the respiratory heart-beat signals, the meridian point electric wave signals and the infrared body temperature electric wave signals comprises:
one or more qi and blood characteristic indexes are obtained according to the breathing heartbeat signal, and the qi and blood characteristic indexes are used for representing the qi and blood state of the human body;
obtaining one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals, wherein the viscera six-channel characteristic indexes are used for representing the viscera state and the six-channel state of the human body;
and obtaining one or more body temperature characteristic indexes according to the infrared body temperature light wave signals, wherein the body temperature characteristic indexes are used for expressing the state of the body, the defense, the qi, the nutrition and the blood.
In one embodiment, further comprising: and obtaining corresponding keywords for representing the human physiological state information according to the one or more human characteristic indexes.
In one embodiment, the obtaining of the corresponding keyword for representing the physiological status information of the human body according to the one or more human body characteristic indexes comprises:
obtaining keywords for representing the qi and blood state information of the human body according to the qi and blood characteristic indexes;
obtaining keywords for representing the state information of the viscera of the human body and keywords for representing the state information of the six meridians according to the characteristic indexes of the six meridians of the viscera;
and obtaining keywords for representing the state information of the body defense, qi, nutrient and blood according to the body temperature characteristic indexes.
In one embodiment, the obtaining one or more qi and blood characteristic indicators according to the respiratory heartbeat signal includes:
calculating a respiration rate rr sequence according to the respiration heartbeat signal, performing linear analysis on the respiration rate rr sequence to obtain one or more linear characteristic indexes used for representing the qi state, and/or performing nonlinear analysis on the respiration rate rr sequence to obtain one or more nonlinear characteristic indexes used for representing the qi state;
the linear characteristic index for representing the gas state includes: at least one of a mean AVRR of the rr sequence, a standard deviation SDRR of the rr sequence, a root mean square rmsd of adjacent rr difference values in the rr sequence, and a standard deviation SDSD of adjacent rr difference values in the rr sequence;
the non-linear characteristic indicator for representing the gas state comprises a characteristic indicator obtained by performing entropy analysis on the rr sequence, and the characteristic indicator obtained by the entropy analysis comprises: at least one of rr sequence vertical distribution information entropy Sdh, rr sequence power spectrum vertical distribution information entropy Sph and rr sequence power spectrum full-frequency-band distribution information entropy Spf.
In one embodiment, the obtaining one or more qi and blood characteristic indicators according to the respiratory heartbeat signal includes:
calculating an electrocardio pRRx sequence according to the respiration heartbeat signal, and carrying out linear analysis on the electrocardio pRRx sequence to obtain one or more linear characteristic indexes for representing the blood state and/or carrying out nonlinear analysis to obtain one or more nonlinear characteristic indexes for representing the blood state; the pRRx sequence of any section of electrocardiosignal is calculated in the following mode: calculating the ratio of the number of adjacent RR interphase differences in the section of electrocardiosignal which is greater than a threshold value x milliseconds to the number of all RR interphase differences, and obtaining the ratio corresponding to each threshold value x by setting the threshold values x with different values, wherein the ratios form the pRRx sequence;
the linear characteristic indicators of the blood state include: at least one of a mean AVRR of the pRRx sequence, a standard deviation SDRR of the pRRx sequence, a root mean square rmsd of differences between adjacent pRRx in the pRRx sequence, and a standard deviation SDSD of differences between adjacent pRRx in the pRRx sequence;
the nonlinear characteristic index of the blood state comprises a characteristic index obtained by performing entropy analysis on the pRRx sequence, and comprises the following steps: entropy S of pRRx sequence histogram information dh pRRx sequence power spectrum vertical distribution information entropy S ph pRRx sequence power spectrum full-band distribution information entropy S pf At least one of (a).
In one embodiment, the method further comprises calculating an electrocardiographic pRRx sequence according to the respiration heartbeat signal;
the characteristic indexes of the six meridians of the viscera comprise: the difference value RN between the peak value of the electrocardio pRRx sequence and the peak value of the meridian point electric wave signals and the period NN of the meridian point electric wave signals.
In one embodiment, obtaining one or more body temperature characteristics from the infrared body temperature lightwave signal comprises:
and obtaining a temperature difference sequence of the left and right limbs of the human body and a temperature difference sequence of the upper and lower limbs of the human body according to the infrared body temperature light wave signals, wherein the body temperature characteristic indexes comprise the temperature difference sequence of the left and right limbs of the human body and the temperature difference sequence of the upper and lower limbs of the human body.
In one embodiment, the obtaining of the corresponding keyword for representing the human body state information according to one or more human body feature indexes includes:
inputting the one or more human body characteristic indexes into a pre-established model function of the corresponding relation between the human body characteristic indexes and the human body state information to obtain key words of the human body state information corresponding to the human body characteristic indexes;
the keywords for representing the qi and blood state information of the human body comprise keywords for representing the qi state of the human body and keywords for representing the blood state of the human body, wherein the keywords for representing the qi state of the human body comprise qi deficiency, qi depression, qi stagnation and qi reversal, and the keywords for representing the blood state of the human body comprise: blood deficiency, blood stasis, blood heat, blood cold;
the keywords for representing the state information of the internal organs of the human body comprise: cold, heat, deficiency and excess of heart, lung, spleen, liver and kidney;
the keywords for representing the state information of the six meridians of the human body comprise: sunstroke, yangming disease, shaoyang disease, taiyin disease, shaoyin disease, and syncope disease;
the keywords for representing the state information of the human body, the health, the qi, the nutrition and the blood comprise: defense system, qi system, nutrient system, and blood system.
The human body characteristic index detection system based on the traditional Chinese medicine principle according to the embodiment comprises: the device comprises one or more signal acquisition devices and a processing module, wherein the one or more signal acquisition devices are used for at least acquiring one or more of respiratory heartbeat signals, meridian point electric wave signals and infrared body temperature electric wave signals of a human body, and the processing module is used for obtaining one or more human body characteristic indexes according to the one or more of the respiratory heartbeat signals, the meridian point electric wave signals and the body temperature signals. The human body characteristic indexes have more reference functions in the traditional Chinese medicine diagnosis, so that the diagnosis result is more accurate, and meanwhile, by adopting the detection system of the embodiment, a doctor does not need to adopt an instrument with a single function to measure the characteristic indexes item by item, so that the diagnosis efficiency is improved.
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FIG. 1 is a flow chart of a detection method according to an embodiment of the present application;
fig. 2 is a block diagram of a detection system according to an embodiment of the present application.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where such sequence must be followed.
It should be noted that, the method for detecting human body characteristic indexes based on the principle of traditional Chinese medicine of the present application is not a technical scheme provided for the direct purpose of obtaining a diagnosis result or a health condition, but the method for detecting human body characteristic indexes based on the principle of traditional Chinese medicine can not directly process a physiological signal to directly obtain a diagnosis result, but collects one or more physiological signals of multiple human bodies according to the principle of traditional Chinese medicine, such as collecting a respiratory heartbeat signal, a meridian point electric wave signal and an infrared body temperature optical wave signal, processes one or more physiological signals to obtain one or more characteristic indexes of the human body, and the characteristic indexes are only used for reference of a doctor during diagnosis, so that the characteristic indexes of the human body measured by the doctor through a single-function instrument one by one are reduced, and the diagnosis efficiency is improved.
The first embodiment is as follows:
referring to fig. 1, a method for detecting human body characteristic indexes based on the principle of traditional Chinese medicine includes:
step 101: acquiring one or more of respiratory heartbeat signals, meridian point signals and body temperature signals of a human body;
step 102: one or more human body characteristic indexes are obtained according to one or more of the respiration heartbeat signals, the meridian point signals and the body temperature signals, and the human body characteristic indexes are used for representing corresponding state information of the human body. The human body characteristic indexes have more reference functions in the traditional Chinese medicine diagnosis, and the characteristic indexes of the human body measured by doctors one by one through a single-function instrument are reduced.
In step 101, the respiratory heartbeat signal may be acquired by attaching two piezoelectric film sensors to the chest and the abdomen, but not limited to acquiring signals such as radar, light, and electrical signals, for example, acquiring a respiratory heartbeat signal sound wave signal or a respiratory heartbeat signal electrical wave signal. The method is a complete waveform process for simultaneously collecting and researching respiratory heartbeat. Most researches in the prior art relate to the research on the respiration frequency, the heart rate and the electrocardio, the research on the complete process of respiration is rare, and the research on the complete process of respiration has important reference value in the traditional Chinese medicine. Collecting electric wave signals of meridian points means collecting twelve meridians at four limbs, at least 2 points of each meridian, and at least 2 points of conception and governor vessels at the back of the abdomen. The reference points were selected from shenque and points of the conception vessel. The infrared body temperature light wave signal adopts an infrared sensor to collect the body temperature distribution of the whole body.
Wherein, the step 102 of obtaining one or more human body characteristic indexes according to one or more of respiration heartbeat signals, meridian point electric wave signals and infrared body temperature electric wave signals comprises:
one or more qi and blood characteristic indexes are obtained according to the breathing heartbeat signals, and the qi and blood characteristic indexes are used for expressing the qi and blood state of the human body;
obtaining one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals, wherein the viscera six-channel characteristic indexes are used for representing the viscera state and the six-channel state of the human body;
one or more body temperature characteristic indexes are obtained according to the infrared body temperature light wave signals, and the body temperature characteristic indexes are used for expressing the state of the body, the defense, the qi, the nutrition and the blood.
The application provides a human body characteristic index detection method based on the principle of traditional Chinese medicine, by collecting sound waves caused by fluctuation of a thoracic cavity, electric waves of a plurality of acupuncture points on each meridian and body temperature distribution which are synchronous in breathing and heartbeat for a period of time, extracting the characteristics of the waveforms to carry out comprehensive analysis, providing a plurality of characteristic indexes which accord with the theoretical system of the traditional Chinese medicine, being beneficial to the traditional Chinese medicine to carry out reference when carrying out disease diagnosis by differentiation of symptoms, and improving the diagnosis efficiency and the diagnosis accuracy.
Further, in another embodiment, the method for detecting human body characteristic index further includes: and obtaining corresponding keywords for representing the human body state information according to one or more human body characteristic indexes. The method specifically comprises the following steps: obtaining keywords for representing qi and blood state information of the human body according to the qi and blood characteristic indexes; obtaining keywords for representing state information of viscera of a human body and keywords for representing state information of six meridians according to characteristic indexes of six meridians of viscera; and obtaining keywords for representing the state information of the body defense, qi, nutrient and blood according to the body temperature characteristic indexes.
In this embodiment, obtaining the corresponding keyword for representing the human body state information according to one or more human body characteristic indexes specifically includes: and inputting one or more human body characteristic indexes into a pre-established model function of the corresponding relation between the human body characteristic indexes and the human body state information to obtain the key words of the human body state information corresponding to the human body characteristic indexes. For example, the qi-blood characteristic index, the viscera six-channel characteristic index and the body temperature characteristic index can be simultaneously input, and the key words for representing the qi-blood state information of the human body, the key words for representing the viscera state information of the human body, the key words for representing the six-channel state information and the key words for representing the qi-defense, nutrient and blood state information of the human body can be simultaneously output through the model function. The method may further include inputting only one feature index, for example, acquiring only a respiratory heartbeat signal of the human body, obtaining one or more qi and blood feature indexes according to the respiratory heartbeat signal, and inputting the one or more qi and blood feature indexes into a model function of a pre-established correspondence relationship between the human body feature indexes and the human body state information to obtain a keyword for representing the qi and blood state information of the human body. For example, the keywords for representing the qi and blood state information of the human body comprise keywords for representing the qi state of the human body and keywords for representing the blood state of the human body, wherein the keywords for representing the qi state of the human body comprise qi deficiency, qi depression, qi stagnation and qi reversal, and the keywords for representing the blood state of the human body comprise: blood deficiency, blood stasis, blood heat, blood cold. In addition, the keywords can also include various states of the interrelation with qi and blood, and the keywords can be used as references for qi and blood syndrome differentiation in traditional Chinese medicine diagnosis.
The keywords for representing the zang-fu state information of the human body include: cold, heat, deficiency and excess of heart, lung, spleen, liver, kidney, etc., such as heart heat and lung deficiency, etc.
Wherein, the keywords used for representing the state information of the six meridians of the human body comprise: the present embodiment of the present invention relates to a medical device for treating a disease of the sun, yangming disease, shaoyang disease, taiyin disease, shaoyin disease, jueyin disease, and the like, wherein the disease of the sun, yangming disease, shaoyang disease, taiyin disease, shaoyin disease, and jueyin disease are terms of the term of the traditional Chinese medicine, and represent physiological state information of a human body, but not a disease all the time, for example, yangming disease represents a typhoid fever in the extreme stage of hyperactivity of yang-qi and most heat-transformation of pathogenic factors, and these keywords also serve as a reference for diagnosis of a doctor, and serve as a reference for differentiation of six meridians.
Wherein, the keyword for expressing the state information of human body health, qi, ying and xue is used for expressing health, qi, ying and xue information, which comprises: the four stages of defense, qi, nutrient and blood can be used as references for differentiation of syndromes of defense, qi, nutrient and blood.
The pre-established model function of the corresponding relationship between the human body characteristic indexes and the human body state information is obtained by acquiring a plurality of samples for training, for example, a plurality of respiratory heartbeat signals of the human body are adopted, one or more qi and blood characteristic indexes are obtained according to the respiratory heartbeat signals, and keywords corresponding to the qi and blood characteristic indexes are obtained. The method comprises the steps of taking a plurality of respiratory heartbeat signals of human bodies as input of a model function, taking corresponding keywords as output of the model function, and carrying out a large amount of training to obtain the respiratory heartbeat signals of the human bodies. And the model function is verified to ensure the corresponding relation to be accurate. And the model function can be continuously updated and perfected through machine learning in the working process.
Wherein, obtain one or more qi and blood characteristic index according to breathing heartbeat signal in this embodiment, specifically include:
calculating a respiratory rate rr sequence according to the respiratory heartbeat signal, performing linear analysis on the respiratory rate rr sequence to obtain one or more linear characteristic indexes for representing the qi state, and performing nonlinear analysis on the respiratory rate rr sequence to obtain one or more nonlinear characteristic indexes for representing the qi state;
wherein the linear characteristic index representing the gas state includes: at least one of a mean AVRR of the rr sequence, a standard deviation SDRR of the rr sequence, a root mean square rmsd of adjacent rr difference values in the rr sequence, and a standard deviation SDSD of adjacent rr difference values in the rr sequence; the non-linear characteristic index representing the gas state comprises a characteristic index obtained by performing entropy analysis on the rr sequence, and the characteristic index obtained by the entropy analysis comprises the following steps: at least one of rr sequence vertical distribution information entropy Sdh, rr sequence power spectrum vertical distribution information entropy Sph and rr sequence power spectrum full-frequency-band distribution information entropy Spf. In the present embodiment, the respiration rate rr is 60/respiration frequency, and the linear characteristic index of the gas state and the nonlinear characteristic index of the gas state obtained by linear and nonlinear analysis according to the rr sequence are both achieved by the prior art.
Wherein, obtain one or more qi and blood characteristic index according to breathing heartbeat signal in this embodiment, include:
calculating an electrocardio pRRx sequence according to the breathing heartbeat signal, and carrying out linear analysis on the electrocardio pRRx sequence to obtain one or more linear characteristic indexes for representing the blood state and/or carrying out nonlinear analysis to obtain one or more nonlinear characteristic indexes for representing the blood state; the pRRx sequence of any section of electrocardiosignal is calculated in the following mode: calculating the ratio of the number of adjacent RR intervals in the section of electrocardiosignal which is greater than the threshold value x milliseconds to the number of all RR intervals, and obtaining the ratio corresponding to each threshold value x by setting the threshold values x with different values, wherein the ratios form the pRRx sequence;
wherein, the linear characteristic indexes of the blood state comprise: at least one of a mean AVRR of the pRRx sequence, a standard deviation SDRR of the pRRx sequence, a root mean square rmsd of differences between adjacent pRRx in the pRRx sequence, and a standard deviation SDSD of differences between adjacent pRRx in the pRRx sequence;
the nonlinear characteristic indexes of the blood state comprise characteristic indexes obtained by carrying out entropy analysis on the pRRx sequence, and comprise: entropy S of pRRx sequence histogram information dh pRRx sequence power spectrum vertical distribution information entropy S ph pRRx sequence power spectrum full-band distribution information entropy S pf At least one of (a).
In this embodiment, the characteristic indexes of the six meridians of zang-fu include: the difference value RN between the peak value of the electrocardio pRRx sequence and the peak value of the meridian point electric wave signals and the period NN of the meridian point electric wave signals.
Wherein, obtaining one or more body temperature characteristic indexes according to the infrared body temperature light wave signal includes: and obtaining a human body temperature distribution diagram according to the infrared body temperature light wave signals, analyzing the human body temperature distribution diagram to obtain a human body left and right limb temperature difference sequence and an upper and lower limb temperature difference sequence, wherein the body temperature characteristic indexes comprise a human body left and right limb temperature difference sequence and an upper and lower limb temperature difference sequence.
In this example, the ratios used to construct pRRx sequences are expressed in percent, as shown in equation (1):
and performing linear analysis and/or nonlinear analysis according to the pRRx sequence of the electrocardiosignals to obtain one or more characteristic indexes.
For example, the characteristic indicators obtained by the linear analysis may include: mean AVRR of pRRx sequence, standard deviation SDRR of pRRx sequence, root mean square rmsd of difference between adjacent pRRx in pRRx sequence, standard deviation SDSD of difference between adjacent pRRx in pRRx sequence;
carrying out nonlinear analysis on the pRRx sequence of each section of electrocardiosignal by adopting an entropy analysis method, namely: according to the prior art, for a random variable set a of a probability distribution function p (x), the definition of entropy is as shown in equation (2):
H(A)＝∑p A (x)logp A (x) (2)
the characteristic indicators that can be obtained include:
(1) entropy S of histogram distribution information of pRRx sequence dh Is the numerical distribution information entropy for the pRRx sequence;
(2) pRRx sequence power spectrum histogram distribution information entropy S ph Discrete Fourier transform is carried out on the pRRx sequence to obtain a power spectrum, and then the information entropy of the pRRx sequence is calculated according to the numerical distribution of the power spectrum sequence;
(3) pRRx sequence power spectrum full-band distribution information entropy S pf Discrete Fourier transform is carried out on the pRRx sequence to obtain a power spectrum in a full frequency band [ f s /N,f s /2](the sampling frequency of the signal is f s The number of sampling points is N) and i-1 division points f are inserted into the sampling points 1 ，f 2 ，...，f m-1 The full band is divided into i sub-bands. And taking the sum of the power densities in each frequency band as the power density of the frequency band to obtain m power densities. Normalizing the i power densities to obtain the probability p of occurrence of each frequency band i Then, Σ i p i 1, the corresponding full band entropy of the power spectrum is shown in equation (3):
S pf ＝lim i→∞ ∑ i p i log p i (3)
the pRRx sequence of each section of electrocardiosignal is subjected to nonlinear analysis, and the following characteristic indexes can be obtained by adopting the following four fractal dimension calculation and analysis methods:
(1) fractal dimension D calculated by structure function method sf Wherein, the structure function method is to define the incremental variance as a structure function for a given sequence z (x), and the relationship is:
for a plurality of scales tau, calculating corresponding S (tau) for discrete values of a sequence z (x), drawing a logS (tau) -log tau function curve, performing linear fitting in a scale-free region to obtain a slope alpha, and corresponding to a fractal dimension D sf The conversion relation with the slope α is shown in formula (5):
(2) fractal dimension D calculated by correlation function method cf Wherein the correlation function method means that for a given sequence z (x), the correlation function C (τ) is defined as shown in equation (6):
C(τ)＝AVE(z(x+τ)*z(x))，τ＝1,2,3,K,N-1 (6)
where AVE (·) represents the average, and τ represents the two-point distance. At this time, the correlation function is power type, and since there is no characteristic length, the distribution is fractal, with C (tau) alpha tau -α . At this time, a function curve of logC (tau) -log tau is drawn, linear fitting is carried out in a scale-free area to obtain a slope alpha, and the corresponding fractal dimension D is obtained cf The conversion relation with the slope α is shown in formula (7):
D cf ＝2-α (7)
(3) fractal dimension D calculated by variation method vm Wherein, the variation method covers the fractal curves by connecting rectangle frames with width of tau end to end, and the difference between the maximum value and the minimum value of the curve in the ith frame is H (i), which is the height of the rectangle. The height and width of all rectangles are multiplied to obtain the total area S (τ). Varying τ in size results in a series of S (τ). As shown in formula (8):
drawing a logN (tau) -log tau function curve, performing linear fitting in a scale-free region to obtain a slope alpha, and obtaining a corresponding fractal dimension D vm The conversion relation with the slope α is shown in formula (7).
(4) Fractal dimension D calculated by root mean square method rms Wherein, the root mean square method covers the fractal curve by connecting the ends of a rectangular frame with the width of tau, and the difference between the maximum value and the minimum value of the curve in the ith frame is H (i), namely the height of the rectangle. The root mean square value S (τ) of the heights of these rectangles is calculated. Varying τ in size results in a series of S (τ). Drawing a logS (tau) -log tau function curve, performing linear fitting in a scale-free region to obtain a slope alpha, and obtaining a corresponding fractal dimension D rms The conversion relation with the slope α is shown in formula (7).
In this embodiment, the method for calculating the characteristic index of the rr sequence is similar to that described above, and only the pRRx needs to be converted into the rr value. And when the characteristic indexes corresponding to the meridian point electric wave signals are calculated in the same way, the calculation mode is the same as that of the calculation mode, and only the pRRx is required to be converted into the meridian point electric wave signals. And are not described in detail herein.
Example two
This embodiment provides a human state information detection system based on traditional chinese medical science principle, and this system includes: one or more signal acquisition devices, a processing module 204.
The one or more signal acquisition devices are used for acquiring at least one or more of respiratory heartbeat signals, meridian point electric wave signals and infrared body temperature optical wave signals of a human body, as shown in fig. 2, for example, the three signal acquisition devices are included, namely a respiratory heartbeat signal acquisition device 201, a meridian point signal acquisition device 202 and a body temperature signal acquisition device 203, and the respiratory heartbeat signal acquisition device 201, the meridian point signal acquisition device 202 and the body temperature signal acquisition device 203 are respectively used for acquiring respiratory heartbeat signals, meridian point signals and body temperature signals of the human body.
The breath heartbeat signal acquisition device 201 can be a photoelectric acquisition device, the method for measuring heart rate is based on the principle that substances absorb light, a green LED lamp of the intelligent wearable device is matched with a photosensitive photodiode to irradiate blood vessels for a period of time, the blood is red, the blood can reflect red light to absorb green light, and when the heart beats, the blood flow is increased, and the absorption capacity of the green light is increased; the blood flow decreases in the beating gap of the heart, and the green light absorption decreases accordingly. Thus, heart rate can be measured from the absorbance of blood. The respiration and heartbeat signal collecting device 201 can also be a transmission type photoelectric collecting device, in which a generator (emitter) and a photosensitive receiver (detector) on the wearable device are located on two sides of a measured part (usually fixed by a clamp), incident light passes through the skin and enters deep tissues, and the rest light is transmitted and sensed by the photosensitive receiver except for being absorbed by the skin, muscles, blood, bones and the like. According to the principle, the measurement parts suitable for the method are tissues with short distance between two sides of a human body, such as earlobes, fingers, toes and the like, and representative intelligent wearing products are earclip type heart rate monitors, nail type oximeters and the like. The breath and heartbeat signal collecting device 201 may also be a reflective photoelectric method collecting device, which is exactly opposite to the transmissive photoelectric method, in the reflective photoelectric method, a generator (emitter) and a photosensitive receiver (detector) on the wearable device are located on the same side of the measured portion, and mainly measure the reflected light. The method has the advantages of simple and convenient measurement of the heart rate, low requirements on measurement parts, and capability of almost measuring places with smooth tissues and little subcutaneous fat, such as the forehead and the wrist. Therefore, most wearing devices such as smart wristbands and smart watches adopt the method to measure the heart rate. Moreover, the dual requirements of center rate monitoring and wearing comfort of the transmission type photoelectric method are perfectly met when the product is in the form of an intelligent bracelet or an intelligent watch. The respiration and heartbeat signal collecting device 201 can also be an electrocardiosignal collecting device or a pressure oscillation method collecting device, and the electrocardiosignal method is the most accurate heart rate measuring method commonly used in medical grade. The heart is excited successively by a pace-making point, an atrium and a ventricle in each cardiac cycle, and is accompanied by countless changes of action potential of myocardial cells, the changes of bioelectricity are called electrocardio, and the heart rate can be detected through the periodical changes of the electrocardio. In addition to heart rate, electrocardiograms may also provide information including cardiac dysfunction, heart disease, and cardiac functional recovery, physical and psychological stress of the patient, etc. The pressure oscillation method is mainly applied to an electronic sphygmomanometer, a cuff of the sphygmomanometer pressurizes an arm, and the pulse amplitude of an arterial blood vessel is detected through a film pressure sensor to perform AD conversion, so that the blood pressure and the pulse rate (the heart rate is calculated according to the number of pulse waves in a certain time) are measured. The image signal analysis method mainly estimates the heart rate by using the face image. Because the color of the face changes slightly during the heartbeat and the chest and shoulders move slightly, the heart rate and the respiratory rate can be estimated from the collected images. vita-Radio released by the academy of labor of Massachusetts, USA sends out Wi-Fi signals through a router, the signals rebound immediately when encountering people or objects around, the reflection speed of each signal can be calculated through a special algorithm, and thus whether a living object exists or not is judged, and if the living object exists, the product can record the heart rate and the respiratory frequency of a human body.
The meridian point signal collecting device 202 of the present embodiment is specifically a meridian point electric wave signal collecting device for collecting electric wave signals of specific acupuncture points. The body temperature signal acquisition device 203 of this embodiment is mainly an infrared body temperature light wave signal acquisition device, acquires the body temperature through the mode of infrared light, obtains the body temperature signal through the analysis to infrared light wave.
The three signal acquisition devices are all connected with the processing module 204 through signal lines, acquired signals are sent to the processing module 204, the processing module 204 obtains one or more qi and blood characteristic indexes according to the respiration heartbeat signals, and the qi and blood characteristic indexes are used for expressing the qi and blood state of the human body; the processing module 204 obtains one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals, wherein the viscera six-channel characteristic indexes are used for representing the viscera state and the six-channel state of the human body; the processing module 204 obtains one or more body temperature characteristic indexes according to the infrared body temperature light wave signal, and the body temperature characteristic indexes are used for representing the state of the human body in the aspects of defense, qi, nutrition and blood. The method for obtaining the above characteristic indexes is the same as the first embodiment, and is not described herein again.
Further, the human body state information detection system further includes a keyword correspondence module 205, where the keyword correspondence module 205 is configured to obtain a corresponding keyword used for representing human body physiological state information according to one or more human body characteristic indexes.
Specifically, the keyword correspondence module 205 obtains a keyword for representing the qi and blood status information of the human body according to the qi and blood characteristic index; the keyword correspondence module 205 obtains keywords representing the visceral status information of the human body and keywords representing the six-channel status information according to the characteristic indexes of the six channels of the viscera; the keyword correspondence module 205 obtains keywords for representing the state information of the human body, the body temperature, the qi, the ying-xue and the blood according to the body temperature characteristic index. The method for obtaining the corresponding keyword according to each feature index is the same as the first embodiment, and is not described herein again.
Further, the system further includes an output module 206, and the output module 206 is configured to output the human body characteristic index and the keyword. For example, the output module 206 is a display, which is connected to the processing module 204 and the keyword correspondence module 205, and can display the feature indicators and the keywords corresponding thereto for the physician to view for reference.
The system of the embodiment respectively collects sound waves caused by thoracic fluctuation of a period of time and synchronous respiration and heartbeat, electric waves of a plurality of acupuncture points on each meridian and body temperature distribution of the whole body through three signal collecting devices, the processing module 204 extracts characteristics of the waveforms to carry out comprehensive analysis, the keyword corresponding module 205 provides characteristic indexes or keywords which accord with a traditional Chinese medicine theory system, the human characteristic indexes and the keywords output by the output module 206 are checked by a doctor and are beneficial to the traditional Chinese medicine syndrome differentiation for reference during disease diagnosis, so that the doctor is not required to adopt a single-function instrument to measure the characteristic indexes item by item, and the diagnosis efficiency is improved.
The present invention has been described in terms of specific examples, which are provided to aid understanding of the invention and are not intended to be limiting. For a person skilled in the art to which the invention pertains, several simple deductions, modifications or substitutions may be made according to the idea of the invention.
Claims (8)
1. A human body characteristic index detection system based on the principle of traditional Chinese medicine is characterized by comprising:
one or more signal acquisition devices, wherein the signal acquisition devices are used for acquiring at least one or more of respiratory heartbeat signals, meridian point signals and body temperature signals of a human body;
the processing module is used for obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point signal and the body temperature signal, and the human body characteristic indexes are used for representing corresponding physiological state information of a human body;
the detection system further comprises:
a breath heartbeat signal acquisition device, a meridian point signal acquisition device and a body temperature signal acquisition device;
the breath heartbeat signal acquisition device is used for acquiring breath heartbeat signals of a human body; the meridian point signal acquisition device is used for acquiring meridian point electric wave signals of a human body; the body temperature signal acquisition device is used for acquiring infrared body temperature light wave signals of a human body;
the processing module is used for obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point signal and the body temperature signal, and comprises the following steps:
the processing module obtains one or more qi and blood characteristic indexes according to the breathing heartbeat signal, and the qi and blood characteristic indexes are used for representing the qi and blood state of the human body;
the processing module obtains one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals, and the viscera six-channel characteristic indexes are used for representing viscera states and six-channel states of a human body;
the processing module obtains one or more body temperature characteristic indexes according to the infrared body temperature light wave signals, and the body temperature characteristic indexes are used for expressing the state of the body, the defensive qi, the nutrient blood and the like;
the processing module obtains one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals, and the characteristic indexes comprise: the processing module calculates an electrocardiogram pRRx sequence according to the respiration heartbeat signal; the characteristic indexes of the six meridians of the viscera comprise: a difference value RN between a peak value of the electrocardio pRRx sequence and a peak value of a meridian point electric wave signal and a period NN of the meridian point electric wave signal;
the processing module obtains one or more body temperature characteristic indexes according to the infrared body temperature light wave signals and comprises: the processing module obtains a human body left and right limb body temperature difference sequence, an upper and lower limb body temperature difference sequence according to the infrared body temperature light wave signal, and the body temperature characteristic indexes comprise the human body left and right limb body temperature difference sequence, the upper and lower limb body temperature difference sequence.
2. The system according to claim 1, further comprising a keyword correspondence module for obtaining a corresponding keyword for representing physiological status information of the human body according to the one or more human body characteristic indicators.
3. The system according to claim 2, further comprising an output module for outputting the human body feature index and the keyword.
4. The system as claimed in claim 3, wherein the keyword correspondence module is configured to obtain a corresponding keyword for representing physiological status information of the human body according to the one or more human body characteristic indicators, and includes:
the keyword corresponding module obtains keywords for representing the qi and blood state information of the human body according to the qi and blood characteristic indexes;
the keyword corresponding module obtains keywords for representing the state information of the viscera of the human body and keywords for representing the state information of the six meridians according to the characteristic indexes of the six meridians of the viscera;
and the keyword corresponding module obtains keywords for representing the state information of the human body health, qi, ying and blood according to the body temperature characteristic indexes.
5. The system according to claim 1, wherein the processing module is configured to obtain one or more qi-blood characteristic indicators according to the respiration heartbeat signal, and includes:
the processing module calculates a respiration rate rr sequence according to the respiration heartbeat signal, and performs linear analysis on the respiration rate rr sequence to obtain one or more linear characteristic indexes used for representing the qi state, and/or performs nonlinear analysis on the respiration rate rr sequence to obtain one or more nonlinear characteristic indexes used for representing the qi state;
the linear characteristic index for representing the gas state includes: at least one of a mean AVRR of rr sequences, a standard deviation SDRR of rr sequences, a root mean square rmsd of adjacent rr difference values in rr sequences, and a standard deviation SDSD of adjacent rr difference values in rr sequences;
the nonlinear characteristic indicator for representing the gas state comprises a characteristic indicator obtained by performing entropy analysis on the rr sequence, and the characteristic indicator obtained by the entropy analysis comprises: at least one of rr sequence vertical distribution information entropy Sdh, rr sequence power spectrum vertical distribution information entropy Sph and rr sequence power spectrum full-frequency-band distribution information entropy Spf.
6. The system according to claim 1, wherein the processing module is configured to obtain one or more qi-blood characteristic indicators according to the respiration heartbeat signal, and includes:
the processing module calculates an electrocardio pRRx sequence according to the respiration heartbeat signal, and performs linear analysis on the electrocardio pRRx sequence to obtain one or more linear characteristic indexes for representing the blood state and/or performs nonlinear analysis to obtain one or more nonlinear characteristic indexes for representing the blood state; the pRRx sequence of any section of electrocardiosignal is calculated by the following method: calculating the ratio of the number of adjacent RR intervals in the section of electrocardiosignal which is greater than the threshold value x milliseconds to the number of all RR intervals, and obtaining the ratio corresponding to each threshold value x by setting the threshold values x with different values, wherein the ratios form the pRRx sequence;
the linear characteristic indicators of the blood state include: at least one of a mean AVRR of the pRRx sequence, a standard deviation SDRR of the pRRx sequence, a root mean square rmsd of differences between adjacent pRRx in the pRRx sequence, and a standard deviation SDSD of differences between adjacent pRRx in the pRRx sequence;
the nonlinear characteristic index of the blood state comprises a characteristic index obtained by performing entropy analysis on the pRRx sequence, and comprises the following steps: entropy S of pRRx sequence histogram information dh pRRx sequence power spectrum vertical distribution information entropy S ph pRRx sequence power spectrum full-band distribution information entropy S pf At least one of (a).
7. The system according to claim 4, wherein the obtaining the corresponding keyword for representing the human body status information according to one or more human body characteristic indexes comprises:
inputting the one or more human body characteristic indexes into a pre-established model function of the corresponding relation between the human body characteristic indexes and the human body state information to obtain key words of the human body state information corresponding to the human body characteristic indexes;
the keywords for representing the qi and blood state information of the human body comprise keywords for representing the qi state of the human body and keywords for representing the blood state of the human body, wherein the keywords for representing the qi state of the human body comprise qi deficiency, qi depression, qi stagnation and qi reversal, and the keywords for representing the blood state of the human body comprise: blood deficiency, blood stasis, blood heat, blood cold;
the keywords for representing the state information of the internal organs of the human body comprise: cold, heat, deficiency and excess of heart, lung, spleen, liver and kidney;
the keywords for representing the state information of the six meridians of the human body comprise: sunstroke, yangming disease, shaoyang disease, taiyin disease, shaoyin disease, and syncope disease;
the keywords for representing the state information of the human body, the health, the qi, the nutrition and the blood comprise: defense system, qi system, nutrient system, and blood system.
8. A human body state information detection method based on the principle of traditional Chinese medicine is characterized by comprising the following steps:
acquiring one or more of respiratory heartbeat signals, meridian point signals and body temperature signals of a human body;
obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point signal and the body temperature signal, wherein the human body characteristic indexes are used for representing corresponding physiological state information of a human body;
collecting respiratory heartbeat signals of a human body; the meridian point signal acquisition device is used for acquiring meridian point electric wave signals of a human body; the body temperature signal acquisition device is used for acquiring infrared body temperature light wave signals of a human body;
the obtaining one or more human body characteristic indexes according to one or more of the respiration heartbeat signal, the meridian point signal and the body temperature signal comprises: one or more qi-blood characteristic indexes are obtained according to the breathing heartbeat signals, the qi-blood characteristic indexes are used for representing the qi-blood state of the human body, one or more viscera six-channel characteristic indexes are obtained according to the meridian point electric wave signals, the viscera six-channel characteristic indexes are used for representing the viscera state and the six-channel state of the human body, one or more body temperature characteristic indexes are obtained according to the infrared body temperature light wave signals, and the body temperature characteristic indexes are used for representing the body's state of wei-qi, ying-blood and ying-qi;
the obtaining of one or more viscera six-channel characteristic indexes according to the meridian point electric wave signals comprises: calculating an electrocardio pRRx sequence according to the respiration heartbeat signal; the characteristic indexes of the six meridians of the viscera comprise: a difference value RN between a peak value of the electrocardio pRRx sequence and a peak value of a meridian point electric wave signal and a period NN of the meridian point electric wave signal;
the obtaining one or more body temperature characteristic indexes according to the infrared body temperature light wave signals comprises: and obtaining a temperature difference sequence of the left and right limbs of the human body and a temperature difference sequence of the upper and lower limbs of the human body according to the infrared body temperature light wave signals, wherein the body temperature characteristic indexes comprise the temperature difference sequence of the left and right limbs of the human body and the temperature difference sequence of the upper and lower limbs of the human body.
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