CN107705848B - Method and system for recommending conditioning scheme according to health condition of user - Google Patents
Method and system for recommending conditioning scheme according to health condition of user Download PDFInfo
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Abstract
The invention provides a method and a system for recommending a conditioning scheme according to the health condition of a user, wherein the technical scheme is characterized by comprising the steps of receiving a bioelectricity waveform obtained by detecting the current user by a current detector; performing an analysis based on the bioelectric waveform to obtain corresponding health data; the conditioning scheme and the health data are matched with the corresponding conditioning scheme according to the health data, the health analysis report is generated by the conditioning scheme and the health data and is pushed to the user side, and the user can directly obtain the conditioning scheme aiming at the body condition of the user through the health analysis report, so that the method is more convenient.
Description
Technical Field
The invention relates to the field of health services, in particular to a method and a system for recommending a conditioning scheme according to the health condition of a user.
Background
The zang-fu theory of traditional Chinese medicine is the core of the basic theory of traditional Chinese medicine, and is characterized by that it utilizes the physiological and pathological phenomena of human body to explore the functions and mutual relations of internal organs, and all the internal organs must be formed and external, and the symptoms are external signs, and are stored in the internal organs, so that it is also called zang theory, and the internal organs and fu organs are physiologically matched with each other, mutually coordinated and pathologically related, and mutually influenced, and the zang-fu organs are closely related to qi, blood and body fluids and the limbs and bones of human body.
The labor-saving function of meridians is mainly to communicate the exterior, interior and exterior, and to the viscera and organs; the health care product has the functions of circulating qi and blood, nourishing viscera and tissues, inducing and conducting, and regulating the functional balance of human body, thereby ensuring the normal functional activities of various organs.
The viscera and the meridians are organically connected, each viscera has a meridian, the connection between the viscera and the viscera is realized through the meridians, the meridians are the regulation and control systems of the whole body and play a role in balancing the internal environment, when a human body is in a state of taking the five internal organs as the center, the meridians are closely related to the occurrence, development and regression of diseases through the organic whole connected by the meridians, the pathological changes of the viscera can be shown through the meridians, under the pathological condition, the body surface acupuncture point information data are correspondingly changed and reflect the occurrence, development and regression processes of the diseases, and the theoretical basis is provided for diagnosing the diseases by the meridians.
Meridians and collaterals can illustrate pathological changes and know disease diagnosis and treatment, meridians and collaterals and viscera are closely related, pathological changes of viscera can be reflected through meridians and collaterals, and diseases are diagnosed and treated by the meridian theory and are widely applied in the clinical practice of traditional Chinese medicine, and the traditional Chinese medicine adopts four diagnostic methods, namely: the inspection, auscultation, inquiry, cutting and eight-principle syndrome differentiation are performed to understand the changes of qi and blood in the meridians, however, since the diseases of the human body are often expressed as various complex symptoms and the pulse condition shows different manifestations with the change of seasons, climates and biological clocks of the human body, the traditional Chinese medicine diagnosis method requires doctors to have abundant clinical experience to make correct diagnosis by observing various complex manifestations.
Modern scientific research proves that the common characteristics of all living cells in bioelectricity phenomenon, and channels and collaterals, brain electricity, electrocardio and myoelectricity can generate and conduct bioelectricity, and research shows that human channels and acupoints have low resistance characteristic and pathotaxis, and when viscera diseases and physiological functions are changed, the conductivity of the skin at the acupoints has pathological reaction and relative specificity, which provides theoretical basis and objective basis for determining human functions and pathological changes by using electronic equipment to measure the electrical characteristics of the channels and collaterals.
Chinese patent No. CN202681938U discloses a palm-type healthy meridian detector, which comprises a main machine and left and right hand reflex zone signal detection units, wherein the main machine receives palm bioelectric signals collected by the left and right hand reflex zone signal detection units, and displays a processing result on a display.
In the past decades, people have developed various detecting instruments based on meridians and collaterals, and the score of each detected body health data is displayed to users in a certain mode, for example, the palm-type health meridian detector can judge the body condition of the user through the score of the body health data, so that the detection is convenient and the result display is visual.
However, after the user knows the health condition of each part of the body, a targeted conditioning scheme cannot be obtained, and the conditioning scheme requires the user to inquire or consult a doctor on the internet, so that inconvenience is brought to the user for conditioning the body.
Disclosure of Invention
The invention aims to provide a method for recommending a conditioning scheme according to the health condition of a user, which is convenient for the user to match a corresponding physical therapy scheme according to the current physical condition.
The technical purpose of the invention is realized by the following technical scheme:
a method of recommending a conditioning regimen based on a user's health condition, comprising:
receiving a bioelectrical waveform obtained by detecting a current user by a current detector;
performing an analysis based on the bioelectric waveform to obtain corresponding health data;
and matching the corresponding conditioning scheme according to the health data, and generating a health analysis report by the conditioning scheme and the health data to push the health analysis report to a user side.
Further, analyzing the bioelectric waveform to obtain corresponding health data, comprising:
establishing a detection coordinate system of time X-voltage Y, and mapping the bioelectricity waveform of the current user in the detection coordinate system; wherein,
dividing a horizontal axis of the detection coordinate system into a plurality of detection time periods, wherein each detection time period corresponds to a detected body part;
drawing an upper limit reference curve and a lower limit reference curve according to the normal human body bioelectricity waveform and correspondingly mapping in the detection coordinate system;
comparing the bioelectrical waveform of the current user with an upper limit reference curve and a lower limit reference curve based on a detection time period, and judging whether the voltage Y of the bioelectrical waveform of the current user exceeds the range defined by the upper limit reference curve and the lower limit reference curve, if so, marking the detection time period and defining the detection time period as an abnormal curve segment;
and acquiring abnormal detected body parts based on the detection time periods corresponding to the abnormal curve segments.
Further, drawing an upper limit reference curve and a lower limit reference curve according to the normal human body bioelectricity waveform, comprising:
presetting a detection age range, and correspondingly dividing the preset age range into N acquisition intervals;
correspondingly acquiring bioelectrical waveforms of a plurality of healthy people in each acquisition interval through a detector;
and analyzing to obtain an upper limit reference curve and a lower limit reference curve in each acquisition interval.
Further, after marking the abnormal curve segment and obtaining the body problem part, the method comprises the following steps:
before receiving the bioelectrical waveform obtained by the current detection instrument detecting the current user, the method comprises the following steps:
receiving a detection request command of a current user side;
sending a corresponding age filling request to a current user side;
receiving an age value filled by a current user side;
matching a corresponding age acquisition interval according to the age value of the current user; wherein
Comparing the age value of the current user with the minimum age value in each age acquisition interval one by one, judging whether the age value of the current user is greater than the minimum age value in the age acquisition interval, and if so, reserving the age acquisition interval;
comparing the age value of the current user with the maximum age value in the screened age acquisition interval one by one, judging whether the age value of the current user is smaller than the maximum age value in the age acquisition interval, and if so, determining that the age acquisition interval is an adaptive age acquisition interval of the current user;
and mapping an upper limit reference curve and a lower limit reference curve prestored in the adaptive age acquisition interval of the current user into a current detection coordinate system, and sending a detection instruction to the detector.
Further, after acquiring the abnormal detected body part based on the detection time period corresponding to the abnormal curve segment, the method includes:
marking the intersection point of the bioelectrical waveform in the abnormal body part interval and the upper limit reference curve or the lower limit reference curve in the current detection coordinate system;
calculating the area of the maximum point of the bioelectricity waveform in the range of the adjacent intersection points or the range of the intersection points and the boundary, and recording as A1;
calculating the areas of the upper limit reference curve and the lower limit reference curve in the range of the adjacent intersection points or the range of the intersection points and the boundary range, and recording as A2;
calculating p = a1/a 2;
when p >1, the medical advice information is attached to the corresponding abnormality detection body part in the health analysis report.
Further, when receiving the bioelectrical waveform obtained by the current detection instrument detecting the current user, the method includes:
detecting whether the acquired bioelectrical waveform has a missing part, if not, finishing the detection, and if so, marking the time break point and the time contact of each missing part;
supplementing the detection time according to the time sum of the missing part to obtain a supplemented bioelectrical waveform;
sequentially segmenting the supplemented bioelectrical waveform, wherein the duration of each segment is the same as the duration of the corresponding missing portion of each segment;
each segment of the supplemented bioelectrical waveform is supplemented into the missing portion to form a complete bioelectrical waveform.
Further, the conditioning regimen comprises a dietary regimen and a physical therapy regimen.
The invention aims to provide a system for recommending a conditioning scheme according to the health condition of a user, which is convenient for the user to match a corresponding physical therapy scheme according to the current physical condition.
The technical purpose of the invention is realized by the following technical scheme:
a system for recommending a conditioning scheme according to the health condition of a user comprises a detector, a server and a user side, wherein the server comprises:
the receiving module is used for receiving the bioelectrical waveform of the current user sent by the current detector;
the information analysis module is used for analyzing the bioelectrical waveform to obtain health data;
and the processing and sending module is used for matching the health data with the conditioning scheme in the database, forming a health analysis report by the health data and the matched conditioning scheme and then pushing the health analysis report to the user side.
Further, the detector includes that shell, a plurality of inlay the electrode slice of locating on the shell, be provided with fastening components on the shell, fastening components is including connecting the installation cavity on the shell, install the gasbag in the installation cavity, install on the installation cavity and be used for filling the air pump of gassing to the gasbag, and sliding connection has a plurality of butt in the gasbag and the slide bar that corresponds with the electrode slice respectively on the installation cavity.
Furthermore, a return spring is arranged between the sliding rod and the mounting cavity.
In conclusion, the invention has the following beneficial effects:
receiving a bioelectricity waveform detected by a current detector for a current user, mapping the bioelectricity waveform with an upper limit reference curve and a lower limit reference curve of an age group matched with the current user, which are prestored in a system, finding an abnormal curve section exceeding the range of the upper limit reference curve and the lower limit reference curve through a voltage value of the bioelectricity waveform, thereby obtaining abnormal detected body parts to form health data, matching a corresponding conditioning scheme from a database according to the health data, generating a health analysis report and pushing the health analysis report to a user terminal, and facilitating the user to condition the current body condition of the user in a targeted manner according to the health analysis report.
Drawings
Fig. 1 is a schematic flow chart of a method for recommending a conditioning program according to a health condition of a user according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of receiving a user age value in a method for recommending a conditioning regimen according to a health condition of a user according to an embodiment of the present invention;
FIG. 3 is a flowchart of health data acquisition in a method for recommending a conditioning regimen according to a health condition of a user according to an embodiment of the present invention;
FIG. 4 is a flow chart of receiving bioelectrical waveforms in a method for recommending a conditioning regimen based on a health condition of a user according to aspects of the present invention;
fig. 5 is a schematic coordinate diagram of a supplementing missing bioelectrical waveform in a method for recommending a conditioning regimen according to a health condition of a user according to an embodiment of the present invention;
fig. 6 is a flowchart for drawing an upper limit reference curve and a lower limit reference curve in a method for recommending a conditioning regimen according to a health condition of a user according to an embodiment of the present invention;
FIG. 7 is a flowchart of acquiring abnormal body parts in a method for recommending a conditioning regimen according to the health condition of a user according to the technical solution of the present invention;
fig. 8 is a schematic diagram of coordinates of an abnormal body part obtained in a method for recommending a conditioning scheme according to a health condition of a user according to an embodiment of the present invention;
fig. 9 is a system block diagram of a system for recommending a conditioning regimen according to a health condition of a user according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a detector in a recommended conditioning regimen according to the health condition of a user according to the technical solution of the present invention;
fig. 11 is a sectional view of a detector in a recommended conditioning regimen according to the health condition of a user according to an embodiment of the present invention.
Reference numerals: 1. a housing; 2. a placement groove; 3. an electrode sheet; 4. a ground plate; 5. a fastening assembly; 6. a mounting cavity; 7. an air bag; 8. an air pump; 9. an air duct; 10. a slide bar; 11. a limiting plate; 12. a return spring.
Detailed Description
The present invention will be described in further detail below by way of examples with reference to the accompanying drawings.
After the user detects the own physical condition through the detector, the user cannot obtain a targeted conditioning scheme, needs to inquire or consult a doctor on the internet, and causes inconvenience to the conditioning of the user, even some users put aside the own physical condition due to trouble after detection, thereby causing diseases.
Based on the defects of the prior art, the technical invention provides a solution.
When a user detects on the detector, the bioelectrical waveform of the user is acquired and uploaded to the server, the server analyzes the current bioelectrical waveform to acquire corresponding health data, then the server matches a corresponding conditioning scheme from the server according to the health data, and generates a final health analysis report according to the conditioning scheme and the health data to push the report to a user side.
According to the technical scheme, the user side refers to mobile intelligent equipment or non-mobile intelligent equipment, such as a mobile phone, a tablet computer and a notebook computer; the server is a background server used by a developer, and can be set at one or more servers, and the servers can include but are not limited to a database server, an application server and a WEB server.
The first embodiment is as follows:
based on the above, the present embodiment provides a method for recommending a conditioning regimen according to the health condition of a user, as shown in fig. 1, comprising the following steps:
step S100, receiving a bioelectricity waveform obtained by detecting a current user by a current detector;
step S200, analyzing based on the bioelectrical waveform to obtain corresponding health data;
and step S300, matching the corresponding conditioning scheme according to the health data, and generating a health analysis report by the conditioning scheme and the health data to push the health analysis report to a user side.
According to the technical scheme defined in the steps S100-S300, specifically, when a user uses the detector for detection, after receiving a detection request of a user end, a server sends a specific signal data feedback value detector with a detection index through Bluetooth, a plurality of electrode plates 3 are arranged on the detector, the electrode plates 3 are connected with a bioelectricity sensor and a skin impedance sensor, fingers of the user abut against the electrode plates 3 in the detection process, the detector converts the specific signal data into currents with different frequencies below 5V and outputs the currents through a sensor module to stimulate the skin of the electrode plates 3, bioelectricity and skin impedance data generated after the skin is stimulated by specific signal currents can be obtained through the bioelectricity sensor and the skin impedance sensor, and a bioelectricity waveform is formed after continuous bioelectricity waveform data is analyzed.
The server analyzes the bioelectrical waveform to generate a plurality of health indexes after receiving the bioelectrical waveform, wherein the health indexes comprise analysis on each internal organ and each meridian condition, the health indexes are converged into health data, corresponding conditioning schemes are matched for the internal organs with lower health indexes and the meridians, and the health data and the health analysis reports generated for the matched conditioning schemes are pushed to a user side.
The conditioning scheme comprises a food therapy scheme and a physical therapy scheme, the food therapy scheme is prestored in a server by a developer in advance, the display mode of the food therapy scheme comprises static display and dynamic display, the static display comprises characters and pictures, and a plurality of food materials required for conditioning the parts of a certain health index are displayed and explained by steps in the character and picture mode; the dynamic display is a video, the video is uploaded by the user side after the user side performs identity registration, and the user needs to correspondingly condition the body part when uploading the video.
According to a food therapy scheme and a physical therapy scheme in the conditioning scheme, a server pushes an online shopping mall function and an offline store reservation function to a user, the user can directly purchase food materials and appliances required by conditioning the user in the online shopping mall, the user can directly place an order in the online shopping mall, and the corresponding offline store automatically matches the distance and completes the order distribution of the user; the off-line store reservation function is networked with the off-line corresponding physiotherapy stores, a user knows the information of the nearby physiotherapy stores through the off-line store reservation function and selects reservation of physiotherapy items according to the health analysis report, and the reservation items comprise acupuncture, massage and the like.
Before receiving the bioelectrical waveform obtained by the current detection instrument detecting the current user according to step S100, as shown in fig. 2, the method includes the following steps:
step S000, receiving a detection request command of the current user side;
step S010: sending a corresponding age filling request to a current user side;
step S020: receiving an age value filled by a current user side;
step S030: matching a corresponding age acquisition interval according to the age value of the current user;
comparing the age value of the current user with the minimum age value in each age acquisition interval one by one, judging whether the age value of the current user is greater than the minimum age value in the age acquisition interval, and if so, reserving the age acquisition interval; comparing the age value of the current user with the maximum age value in the screened age acquisition interval one by one, judging whether the age value of the current user is smaller than the maximum age value in the age acquisition interval, and if so, determining that the age acquisition interval is an adaptive age acquisition interval of the current user;
step S040: and mapping an upper limit reference curve and a lower limit reference curve prestored in the adaptive age acquisition interval of the current user into a current detection coordinate system, and sending a detection instruction to the detector.
According to the technical scheme defined by the steps S000-S040, the user side submits a detection request command to the server through the two-dimensional code corresponding to the current detector on the WeChat scanning server, and the server sends an age filling request to the user side after receiving the detection request command submitted by the user side.
Because the bioelectricity is the potential and polarity change of biological organs, tissues and cells in the life activity process, and because the cell activity of each age group is different, the bioelectricity waveforms are different, and the health data is more accurate by matching the actual age value of the user with the corresponding upper limit reference curve and the lower limit reference curve.
According to step S200, an analysis is performed based on the bioelectrical waveform to obtain corresponding health data, as shown in fig. 3, including the steps of:
step S210, establishing a detection coordinate system of time X-voltage Y, and mapping the bioelectricity waveform of the current user in the detection coordinate system;
dividing a horizontal axis of the detection coordinate system into a plurality of detection time periods, wherein each detection time period corresponds to a detected body part;
step S220, drawing an upper limit reference curve and a lower limit reference curve according to the normal human body bioelectricity waveform and correspondingly mapping the upper limit reference curve and the lower limit reference curve in the detection coordinate system;
step S230, comparing the bioelectrical waveform of the current user with the upper limit reference curve and the lower limit reference curve based on the detection time period, and judging whether the voltage Y of the bioelectrical waveform of the current user exceeds the range limited by the upper limit reference curve and the lower limit reference curve, if so, marking the detection time period and defining the detection time period as an abnormal curve segment;
step S240: and acquiring abnormal detected body parts based on the detection time periods corresponding to the abnormal curve segments.
According to the technical scheme defined in S210 to S240, the bioelectrical waveforms are mapped in the detection coordinate system, each detection time period corresponds to a different detected body part due to different frequencies of the specific signal data, if the detection time of the detector needs 120 seconds and each detection time period is 5 seconds, the detection time period corresponds to the heart of the human body when being 0 to 5 seconds, the detection time period corresponds to the spleen of the human body when being 5 to 10 seconds, and the detection time period corresponds to the stomach … … of the human body when being 10 to 15 seconds.
It should be noted that, when comparing the bioelectrical waveform detected by the current user with the upper limit reference curve and the lower limit reference curve, if a certain segment of the bioelectrical waveform exceeds the voltage range of the upper limit reference curve or the lower limit reference, the detected body part corresponding to the detection time segment is abnormal, and thus, the corresponding detected body part has three types of judgment, i.e., a normal range, a higher normal range and a lower normal range, so as to evaluate the normal, actual and virtual conditions of each internal organ of the human body.
According to step S100, when receiving the bioelectrical waveform obtained by the current detecting apparatus detecting the current user, as shown in fig. 4 and 5, the method includes the following steps:
step S110, detecting whether the acquired bioelectrical waveform has a missing part, if not, finishing the detection, and if so, marking a time breakpoint and a time contact of each missing part;
step S120, supplementing detection time according to the time sum of the missing part, and acquiring a supplemented bioelectrical waveform;
step S130, segmenting the supplemented bioelectrical waveforms in sequence, wherein the duration of each segment is the same as the duration of the corresponding missing part of each segment;
in step S140, each segment of the supplemented bioelectrical waveform is supplemented into the missing portion to form a complete bioelectrical waveform.
According to the technical scheme defined by S110-S140, specifically, if the finger of the user leaves the detector in the detection process, the obtained bioelectrical waveform is lost, the detection time of the complete bioelectrical waveform is assumed to be 120S when the hand of the user does not leave the detector, when the bioelectrical waveform signal is received for the first time, timing is started, the current time is marked as X0, after the detection of the whole bioelectrical waveform is normally completed, the timing is ended, the current time is marked as X1, when the phenomenon that the bioelectrical waveform is not received appears for a plurality of times in the interval X0-X1, time breakpoints B11, B12 and B13 … … are sequentially recorded, when the bioelectrical waveform is not received from the non-reception to the reception of the bioelectrical waveform in the interval X0-X1, time contacts B21, B22 and B23 … … are recorded, and after the detection time of 120S is completed, the hand of the user does not leave the detector, B11-B21 segment, B12-B22 segment and B13-B23 segment … … which lack the bioelectrical waveforms are subjected to supplementary measurement, wherein a B11 point is covered on an X1 point, other time break points B12, B13 … … and the like except B11 are correspondingly covered on time contacts B21, B22 and B23 … … which are sequentially arranged, the bioelectrical waveforms of B11-B21 segment, B12-B22 segment and B13-B23 … … segment are sequentially detected, and the acquired bioelectrical waveforms of the B11-B21 segment, the B12-B22 segment and the B13-B23 … … segment are transferred to B11-B21 segment, B12-B22 segment and B13-B23 … … segments in an X0-X1 segment; and if the B21 exceeds the X0-X1 interval, detecting the bioelectrical waveform of the B11-X1 segment by taking the X1 as a time contact, and completing the B11-X1 segment in the X0-X1 interval.
According to step S220, an upper limit reference curve and a lower limit reference curve are drawn according to the normal human bioelectrical waveform, as shown in fig. 6, including the steps of:
step S221, presetting a detection age range, and correspondingly dividing the preset age range into N acquisition intervals;
step S222, correspondingly acquiring bioelectrical waveforms of a plurality of healthy people in each acquisition interval through a detector;
and step S223, analyzing to obtain an upper limit reference curve and a lower limit reference curve in each acquisition interval.
According to the technical scheme defined by S221-S223, a large number of bioelectricity waveforms of a collection population which is proved to be healthy through experience in each age group are collected, a large number of bioelectricity waveforms are classified according to age intervals and then subjected to modeling analysis, and finally an upper limit reference curve and a lower limit reference curve in the corresponding age interval are obtained through a variable screening analysis method and a regression analysis method, wherein the variable screening analysis method adopts non-information variable elimination (UVE) and competitive adaptive weighted sampling (CARS), and the regression analysis method adopts Partial Least Squares (PLS) and support vector machine regression (SVM).
According to step S240, after acquiring the abnormal detected body part based on the detection time period corresponding to the abnormal curve segment, as shown in fig. 7 and 8, the method includes the following steps:
step S241, marking the intersection point of the bioelectrical waveform in the abnormal body part interval section and the upper limit reference curve or the lower limit reference curve in the current detection coordinate system;
step S242, calculating the area of the maximum point of the bioelectricity waveform in the range of the adjacent intersection points or the range of the intersection points and the boundary, and recording the area as A1;
step S243, calculating the areas of the upper limit reference curve and the lower limit reference curve in the range of the adjacent intersection points or the range of the intersection points and the boundary range, and recording as A2;
step S244, calculating p = a1/a 2;
in step S245, when p is greater than 1, the corresponding abnormality detection body part in the health analysis report is added with hospitalization prompt information.
According to the technical scheme defined by S241-S245, when the abnormal body part detected by the user is far beyond one time of a normal value, the cell activity of the body part is over-strong or over-weak, the reason for the over-strong cell activity may be that diseased cells are rapidly propagated, the reason for the weak cell activity may be that normal cells are not normally divided, the propagation speed of the diseased cells may not be exceeded by the adjustment speed of the adjustment scheme, or the abnormally divided cells cannot be stimulated and treated, and are not suitable for adjustment in the conditioning scheme, so that the user is prompted to seek medical advice in time and then targeted treatment is performed.
Example two:
based on the above, the embodiment provides a system for recommending a conditioning scheme according to a health condition of a user, including a detector, a server, and a user side, where the server includes:
the receiving module is used for receiving the bioelectrical waveform of the current user sent by the current detector;
the information analysis module is used for analyzing the bioelectrical waveform to obtain health data;
and the processing and sending module is used for matching the health data with the conditioning scheme in the database, forming a health analysis report by the health data and the matched conditioning scheme and then pushing the health analysis report to the user side.
As shown in fig. 10, the detecting instrument includes a housing 1, the housing 1 is hollow, five placing grooves 2 are formed in the upper surface of the housing 1, five electrode plates 3 are fixedly connected to the upper surface of the housing 1, a thumb, an index finger, a middle finger, a ring finger and a little finger are respectively and correspondingly placed in the five placing grooves 2 and abut against the electrode plates 3, and a grounding strip 4 is fixedly connected to the housing 1 at the palm center position.
As shown in fig. 11, in order to prevent the user's fingers from being detached from the electrode sheet 3 during the detection time, a fastening member 5 is mounted on the housing 1.
As shown in fig. 9, the casing 1 includes a sensor module, an MCU, a battery, a voltage regulator module, a bluetooth module and an ad module, the MCU is connected to the ad module, the bluetooth module, the voltage regulator module and the sensor module, the bluetooth module is connected to the voltage regulator module, and the battery is connected to the voltage regulator module.
The sensor module comprises a bioelectricity sensor and a skin impedance sensor, the A/D module converts analog signals collected by the sensor module into digital signals, and the MCU transmits data collected by the sensor module to the server through the Bluetooth module.
When the user need carry out the detection of biological electricity wave form through the detector, stretch into installation cavity 6 with a hand, five fingers place five standing groove 2 interior butt respectively in electrode slice 3, palm butt on grounding plate 4 to open air pump 8 and aerify gasbag 7, gasbag 7 promotes five limiting plate 11 and moves to extreme position, and reset spring 12 is compressed, and slide bar 10 promotes the finger and supports tightly on electrode slice 3, thereby prevents that user's finger from breaking away from electrode slice 3 in the testing process.
After the detection is finished, the air pump 8 deflates the air bag 7, the return spring 12 pushes the limiting plate 11 to move towards the direction far away from the electrode plate 3, the sliding rod 10 is separated from the finger of the user, and the guarded hand can be taken out of the installation cavity 6.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (6)
1. A method for recommending a conditioning regimen based on a health condition of a user, comprising:
receiving a bioelectrical waveform obtained by detecting a current user by a current detector;
performing an analysis based on the bioelectric waveform to obtain corresponding health data;
matching a corresponding conditioning scheme according to the health data, and generating a health analysis report by the conditioning scheme and the health data to push the health analysis report to a user side;
analyzing the bioelectric waveform to obtain corresponding health data, specifically establishing a time X-voltage Y detection coordinate system, and mapping the bioelectric waveform of the current user in the detection coordinate system; wherein,
dividing a horizontal axis of the detection coordinate system into a plurality of detection time periods, wherein each detection time period corresponds to a detected body part;
drawing an upper limit reference curve and a lower limit reference curve according to the normal human body bioelectricity waveform and correspondingly mapping in the detection coordinate system;
comparing the bioelectrical waveform of the current user with an upper limit reference curve and a lower limit reference curve based on a detection time period, and judging whether the voltage Y of the bioelectrical waveform of the current user exceeds the range defined by the upper limit reference curve and the lower limit reference curve, if so, marking the detection time period and defining the detection time period as an abnormal curve segment;
acquiring an abnormal detected body part based on a detection time period corresponding to the abnormal curve segment;
drawing an upper limit reference curve and a lower limit reference curve according to a normal human body bioelectricity waveform, specifically, presetting a detection age range, and correspondingly dividing the preset age range into N acquisition intervals;
correspondingly acquiring bioelectrical waveforms of a plurality of healthy people in each acquisition interval through a detector;
analyzing to obtain an upper limit reference curve and a lower limit reference curve in each acquisition interval;
detecting whether the acquired bioelectrical waveform has a missing part, if not, finishing the detection, and if so, marking the time break point and the time contact of each missing part;
supplementing the detection time according to the time sum of the missing part to obtain a supplemented bioelectrical waveform;
sequentially segmenting the supplemented bioelectrical waveform, wherein the duration of each segment is the same as the duration of the corresponding missing portion of each segment;
supplementing each segment of the supplemented bioelectric waveform into the missing portion to form a complete bioelectric waveform;
marking the intersection point of the bioelectrical waveform in the abnormal body part interval and the upper limit reference curve or the lower limit reference curve in the current detection coordinate system;
calculating the area of the maximum point of the bioelectricity waveform in the range of the adjacent intersection points or the range of the intersection points and the boundary, and recording as A1;
calculating the areas of the upper limit reference curve and the lower limit reference curve in the range of the adjacent intersection points or the range of the intersection points and the boundary range, and recording as A2;
calculating p = a1/a 2;
when p is greater than 1, adding hospitalization prompt information to the corresponding abnormal detection body part in the health analysis report;
the method comprises the steps of collecting bioelectricity waveforms of collected crowds in all age groups, which are proved to be healthy through physical examination, classifying the bioelectricity waveforms according to age intervals, then carrying out modeling analysis, and finally obtaining an upper limit reference curve and a lower limit reference curve in the corresponding age intervals through a variable screening analysis method and a regression analysis method, wherein the variable screening analysis method adopts non-information variable elimination and competitive adaptive reweighting sampling, and the regression analysis method adopts a partial least square method and a support vector machine for regression.
2. The method of claim 1, wherein receiving the bioelectrical waveform obtained by the current meter detecting the current user comprises:
receiving a detection request command of a current user side;
sending a corresponding age filling request to a current user side;
receiving an age value filled by a current user side;
matching a corresponding age acquisition interval according to the age value of the current user; wherein
Comparing the age value of the current user with the minimum age value in each age acquisition interval one by one, judging whether the age value of the current user is greater than the minimum age value in the age acquisition interval, and if so, reserving the age acquisition interval;
comparing the age value of the current user with the maximum age value in the screened age acquisition interval one by one, judging whether the age value of the current user is smaller than the maximum age value in the age acquisition interval, and if so, determining that the age acquisition interval is an adaptive age acquisition interval of the current user;
and mapping an upper limit reference curve and a lower limit reference curve prestored in the adaptive age acquisition interval of the current user into a current detection coordinate system, and sending a detection instruction to the detector.
3. The method according to claim 1, wherein the conditioning regimen comprises a dietary regimen and a physical therapy regimen.
4. A system for recommending a conditioning scheme according to the health condition of a user comprises a detector, a server and a user side, and is characterized in that the server comprises:
the receiving module is used for receiving the bioelectrical waveform of the current user sent by the current detector;
the information analysis module is used for analyzing the bioelectrical waveform to obtain health data;
the processing and sending module is used for matching the health data with the conditioning scheme in the database, forming a health analysis report by the health data and the matched conditioning scheme and then pushing the health analysis report to the user side;
the information analysis module analyzes the bioelectrical waveform to obtain health data, and specifically comprises: establishing a detection coordinate system of time X-voltage Y, and mapping the bioelectricity waveform of the current user in the detection coordinate system; wherein,
dividing a horizontal axis of the detection coordinate system into a plurality of detection time periods, wherein each detection time period corresponds to a detected body part;
drawing an upper limit reference curve and a lower limit reference curve according to the normal human body bioelectricity waveform and correspondingly mapping in the detection coordinate system;
comparing the bioelectrical waveform of the current user with an upper limit reference curve and a lower limit reference curve based on a detection time period, and judging whether the voltage Y of the bioelectrical waveform of the current user exceeds the range defined by the upper limit reference curve and the lower limit reference curve, if so, marking the detection time period and defining the detection time period as an abnormal curve segment;
acquiring an abnormal detected body part based on a detection time period corresponding to the abnormal curve segment;
drawing an upper limit reference curve and a lower limit reference curve according to a normal human body bioelectricity waveform, specifically, presetting a detection age range, and correspondingly dividing the preset age range into N acquisition intervals;
correspondingly acquiring bioelectrical waveforms of a plurality of healthy people in each acquisition interval through a detector;
analyzing to obtain an upper limit reference curve and a lower limit reference curve in each acquisition interval;
detecting whether the acquired bioelectrical waveform has a missing part, if not, finishing the detection, and if so, marking the time break point and the time contact of each missing part;
supplementing the detection time according to the time sum of the missing part to obtain a supplemented bioelectrical waveform;
sequentially segmenting the supplemented bioelectrical waveform, wherein the duration of each segment is the same as the duration of the corresponding missing portion of each segment;
supplementing each segment of the supplemented bioelectric waveform into the missing portion to form a complete bioelectric waveform;
marking the intersection point of the bioelectrical waveform in the abnormal body part interval and the upper limit reference curve or the lower limit reference curve in the current detection coordinate system;
calculating the area of the maximum point of the bioelectricity waveform in the range of the adjacent intersection points or the range of the intersection points and the boundary, and recording as A1;
calculating the areas of the upper limit reference curve and the lower limit reference curve in the range of the adjacent intersection points or the range of the intersection points and the boundary range, and recording as A2;
calculating p = a1/a 2;
when p is greater than 1, adding hospitalization prompt information to the corresponding abnormal detection body part in the health analysis report;
the method comprises the steps of collecting bioelectricity waveforms of collected crowds in all age groups, which are proved to be healthy through physical examination, classifying the bioelectricity waveforms according to age intervals, then carrying out modeling analysis, and finally obtaining an upper limit reference curve and a lower limit reference curve in the corresponding age intervals through a variable screening analysis method and a regression analysis method, wherein the variable screening analysis method adopts non-information variable elimination and competitive adaptive reweighting sampling, and the regression analysis method adopts a partial least square method and a support vector machine for regression.
5. The system for recommending a conditioning scheme according to the health condition of a user according to claim 4, wherein the detector comprises a housing (1) and a plurality of electrode plates (3) embedded on the housing (1), a fastening assembly (5) is arranged on the housing (1), the fastening assembly (5) comprises an installation cavity (6) connected to the housing (1), an air bag (7) is installed in the installation cavity (6), an air pump (8) for inflating and deflating the air bag (7) is installed on the installation cavity (6), and a plurality of sliding rods (10) which abut against the air bag (7) and respectively correspond to the electrode plates (3) are slidably connected to the installation cavity (6).
6. System for recommending a conditioning regimen according to the user's health, according to claim 5, characterized in that between said sliding rod (10) and the mounting chamber (6) there is installed a return spring (12).
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| CN109671255B (en) * | 2018-08-23 | 2020-08-04 | 白玉洁 | Control system of laser irradiator |
| CN109390042A (en) * | 2018-10-10 | 2019-02-26 | 广州市雅天网络科技有限公司 | Statement-of-health generation method, equipment and readable storage medium storing program for executing |
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| CN110415821B (en) * | 2019-07-02 | 2023-02-24 | 山东大学 | Health knowledge recommendation system based on human physiological data and operation method thereof |
| CN110970114A (en) * | 2019-11-13 | 2020-04-07 | 清华大学 | Traditional Chinese Medicine Health Guidance System |
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| CN202681938U (en) * | 2012-06-28 | 2013-01-23 | 北京身心康生物科技有限公司 | Palm type meridian health detector |
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Denomination of invention: A method and system for recommending conditioning scheme according to user's health status Effective date of registration: 20220506 Granted publication date: 20210813 Pledgee: Zhejiang Mintai Commercial Bank Co.,Ltd. Hangzhou Binjiang small and micro enterprise franchise sub branch Pledgor: HANGZHOU BAMAI TECHNOLOGY CO.,LTD. Registration number: Y2022330000644 |
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