CN116469519A - Human body acupoint obtaining method based on infrared image - Google Patents
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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
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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- A—HUMAN NECESSITIES
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61H39/00—Devices for locating or stimulating specific reflex points of the body for physical therapy, e.g. acupuncture
- A61H39/02—Devices for locating such points
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The invention provides a human body acupoint obtaining method based on infrared images, which comprises the following steps: identifying human body contour lines in the target infrared image to obtain a corresponding human body contour line pixel point set PL and identifying first characteristic acupuncture points CA1 and second characteristic acupuncture points CA2 in the target infrared image to obtain corresponding pixel point coordinates; acquiring two first coordinates with the ordinate of CA1 and two second coordinates with the ordinate of CA2 from PL; acquiring coordinates of reference feature points; acquiring a horizontal inch length Deltax based on the horizontal coordinate of CA1 and the horizontal coordinate of the reference feature point, and acquiring a vertical inch length Deltay based on the vertical coordinates of CA1 and CA 2; and taking CA1 or CA2 as a reference acupoint, and acquiring the rest acupoints in the n set acupoints in the target infrared image based on the position relation table between Deltax and Deltay and the n set acupoints. The invention can improve the accuracy of acupoint recognition.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a human body acupoint obtaining method based on infrared images.
Background
The theory of yin-yang balance of human body channels and collaterals and acupoints is one of the core theory of traditional Chinese medicine, the infrared thermal imaging of the body surface of the human body can clearly reflect the temperature of each acupoint and the thermal order of each channel and collaterals of the human body, and the physique and syndrome features of the human body can be obtained through the analysis of the temperature of each acupoint and the thermal order of each channel and collaterals of the body surface of the human body. Patent literature (CN 113842116 a) discloses an automatic positioning method, an apparatus and an electronic device for human body acupoints, in which the method manually marks a plurality of acupoints in a plurality of infrared images, and inputs the marked acupoints into a neural network model for training to obtain an acupoint prediction model, and the human body acupoints can be automatically identified based on the acupoint prediction model. However, in the scheme, because the human body acupoints are marked manually, the marking mode can cause marking errors due to experience of a marker, body proportion difference corresponding to infrared images and the like, so that the prediction of the acupoint prediction model is inaccurate. In addition, the manual acupoint marking mode can reduce marking efficiency.
Disclosure of Invention
Aiming at the technical problems, the invention adopts the following technical scheme:
the embodiment of the invention provides a human body acupoint obtaining method based on infrared images, which is used for obtaining acupoints of a trunk area, wherein the trunk area comprises n set acupoints, and the method comprises the following steps:
s100, identifying human body contour lines in the target infrared image to obtain a corresponding human body contour line pixel point set PL= (PL) 1 ，PL 2 ，…，PL r ，…，PL M )，PL r R is the r pixel point in PL, the value of r is 1 to M, M is the number of pixels in PL, PL r Is (x) Lr ，y Lr ) The method comprises the steps of carrying out a first treatment on the surface of the And identifying the first characteristic acupoint CA1 and the second characteristic acupoint CA2 in the target infrared image to obtain corresponding pixel point coordinates (x) A1 ，y A1 ) And (x) A2 ，y A2 ) Wherein CA1 and CA2 are respectively the acupoints of n set acupoints, and CA1 and CA2 are positioned in the middle of human bodyOn the axis, CA2 is positioned below CA 1;
s200, obtaining the ordinate y from PL A1 Is defined by two symmetrical pixel point coordinates (x 01 ，y A1 ) And (x) 02 ，y A1 ) And acquiring the ordinate y from PL A2 Is defined by two symmetrical pixel point coordinates (x 03 ，y A2 ) And (x) 04 ，y A2 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is 01 ＜x A1 ＜x 02 ，x 03 ＜x A2 ＜x 04 ；
S300, acquisition (min (x) 01 ，x 03 )，y A1 ) Or (min (x) 02 ，x 04 )，y A1 ) The corresponding pixel point coordinates are used as coordinates (x A3 ，y A3 )；
S400, obtaining the transverse length Deltax= |x A3 -x A1 ∣/W 13 And obtaining the straight-in length Δy= |y A2 -y A1 ∣/V 12 ，W 13 V is the number of transverse dimensions between CA1 and CA3 12 Is the number of straight inches between CA1 and CA 2;
s500, taking CA1 or CA2 as a reference acupoint, and acquiring the rest acupoints in the n set acupoints in the target infrared image based on a positional relationship table among the Deltax, deltay and the n set acupoints.
The invention has at least the following beneficial effects:
according to the human body acupoint obtaining method based on the infrared image, provided by the embodiment of the invention, as only the human body contour, the first characteristic acupoint and the second characteristic acupoint are required to be identified in the infrared image, other acupoints in the set acupoints can be automatically identified and set based on the association relation among the acupoints, and in the training process of the acupoint prediction model, all acupoints to be identified are not required to be marked, so that the acupoint marking time can be reduced. In addition, the acupoints except the first characteristic acupoints and the second characteristic acupoints are automatically acquired through the association relation between the acupoints, so that the accuracy of acupoint identification can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for acquiring human body acupoints based on infrared images according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The embodiment of the invention provides a human body acupoint obtaining method based on infrared images, which is used for obtaining acupoints of a trunk area, wherein the trunk area can comprise n set acupoints.
In an embodiment of the present invention, the n set acupoints may be acupoints of a front torso region. In another embodiment of the present invention, the n set acupoints may be acupoints of a back torso region.
As shown in fig. 1, the method for acquiring the acupoints of the human body based on the infrared image according to the embodiment of the present invention may include the following steps:
s100, identifying human body contour lines in the target infrared image to obtain a corresponding human body contour line pixel point set PL= (PL) 1 ，PL 2 ，…，PL r ，…，PL M )，PL r R is the r pixel point in PL, the value of r is 1 to M, M is the number of pixels in PL, PL r The coordinates in the coordinate system where the infrared image of the target is located are (x Lr ，y Lr ) The method comprises the steps of carrying out a first treatment on the surface of the And identifying the first characteristic acupoint CA1 and the second characteristic acupoint CA2 in the target infrared image to obtain corresponding pixel point coordinates (x) A1 ，y A1 ) And (x) A2 ，y A2 ) Wherein CA1 and CA2 are the acupoints in n set acupoints respectively, and CA1 and CA2 are located on the central axis of human body, and CA2 is located below CA 1.
In the embodiment of the invention, the x-axis of the coordinate system where the target infrared image is located is the transverse direction of the human body, the y-axis is the longitudinal direction of the human body, and the origin of coordinates can be the lower left corner of the image.
In the embodiment of the invention, the target infrared image can be acquired from the image library, and the target infrared image can also be acquired in real time through the infrared camera device.
In the embodiment of the invention, the human body contour lines and the characteristic acupuncture points in the target infrared image can be identified through the trained image identification model. Specifically, the trained image recognition model can be obtained by inputting the sample images marked with the human body contour lines, CA1 and CA2 into the neural network model for training, and the specific training mode can be the prior art.
In the case where n set acupoints are acupoints in the front torso region, the target infrared image is a human front image, CA1 may be an easily identifiable Tiantu acupoint, and CA2 may be an easily identifiable shenque acupoint. In the case where n set acupoints are acupoints in the back torso region, the target infrared image is a back image of a human body, CA1 may be a large vertebral acupoint that is easily identified, and CA2 may be a long strong acupoint that is easily identified.
Further, in an embodiment of the present invention, PL may be obtained based on the following steps:
s101, identifying a human body contour line in a target infrared image to obtain a corresponding human body contour line initial pixel point set PLI= (PLI) 1 ，PLI 2 ，…，PLI r ，…，PLI M )。
S102, acquiring a temperature set TCI= (TLI) corresponding to the PLI 1 ，TLI 2 ，…，TLI r ，…，TLI M )，TLI r For PLI r Corresponding temperature.
Those skilled in the art will recognize that any temperature at which each pixel is obtained from an infrared image is within the scope of the present invention.
S103, if TLI r < T0, executionLine S104; t0 is a preset temperature value; otherwise, S107 is performed.
In an exemplary embodiment of the present invention, T0 is a preset average human body temperature threshold, which may be an empirical value, for example, 36.5 °. Specifically, T0 may be obtained by:
t0=avg (T1, T2, …, tz, …, TG), tz being the body temperature of the z-th user, z having a value of 1 to G, G being the number of users. G users can obtain the body temperature in a random mode, and the body temperature of each user can be measured by a temperature measuring device.
In another exemplary embodiment of the present invention, t0=avg (T 1 ，t 2 ，…，t w ，…，t N ) Wherein t is w And N is the number of pixels in the area surrounded by the human body contour line identified in S101, wherein the temperature corresponds to the w-th pixel in the area surrounded by the human body contour line identified in S101. Compared with the previous embodiment, the accuracy of the T0 in this embodiment can be improved by using the body temperature of the user corresponding to the target infrared image as the reference temperature.
S104, if x LIr ＜x 0 Setting x LIr ＝x LIr +b, if x LIr ＞x 0 Setting x LIr ＝x LIr -b；x 0 Is the abscissa, x of the central axis of the human body corresponding to the target infrared image in the target infrared image LIr For TLI r The corresponding abscissa of the pixel points, b is the number of preset pixel points; s105 is performed.
In one exemplary embodiment, b is set to a value that does not affect the accuracy of acupoint recognition, e.g., b=1.
S105, if the pixel point (x LIr ，y LIr ) S104, namely continuing to adjust the abscissa of the pixel point until the corresponding temperature is greater than T0 or equal to T0; otherwise, S106 is performed.
S106, setting r=r+1, and if r is less than or equal to M, executing S103; otherwise, the control program is exited.
The technical effects of S101 to S106 are: because the body structures of the users are different, the human body contour lines identified by the trained image identification models may have deviation, and the identified human body contour lines can be adjusted through S101-S106, so that the human body contour lines are more accurate.
S200, obtaining the ordinate y from PL A1 Is defined by two symmetrical pixel point coordinates (x 01 ，y A1 ) And (x) 02 ，y A1 ) I.e. two points of intersection of a first line, which is a line passing through the first characteristic point and perpendicular to the central axis of the body, and the human body contour line, and acquiring the ordinate y from the PL A2 Is defined by two symmetrical pixel point coordinates (x 03 ，y A2 ) And (x) 04 ，y A2 ) Namely, two intersection points of a second straight line and a human body contour line, wherein the second straight line passes through the second characteristic acupoint and is perpendicular to the central axis of the human body; wherein x is 01 ＜x A1 ＜x 02 ，x 03 ＜x A2 ＜x 04 。
S300, acquisition (min (x) 01 ，x 03 )，y A1 ) Or (min (x) 02 ，x 04 )，y A1 ) The corresponding pixel point coordinates are used as coordinates (x A3 ，y A3 ) Namely, coordinates corresponding to the shortest intersection line of the first intersection line and the second intersection line are selected as coordinates of CA3, wherein the first intersection line is an intersection line between the first straight line and the human body contour line, and the second intersection line is an intersection line between the second straight line and the human body contour line.
In an embodiment of the invention, CA3 may be a shoulder peak.
S400, obtaining the transverse length Deltax= |x A3 -x A1 ∣/W 13 And obtaining the straight-in length Δy= |y A2 -y A1 ∣/V 12 ，W 13 V is the number of transverse dimensions between CA1 and CA3 12 Is the number of straight inches between CA1 and CA 2.
S500, taking CA1 or CA2 as a reference acupoint, and acquiring the rest acupoints in the n set acupoints in the target infrared image based on the position relation table among the Deltax, deltay and the n set acupoints. In the embodiment of the invention, the position association relationship between acupoints can be determined based on the theory of traditional Chinese medicine, such as acupuncture.
Specifically, the n set acupoints may include n1 first acupoints located on the central axis of the human body and n2 second acupoints located on both sides of the central axis of the human body, and the positional relationship table between the n set acupoints includes a first acupoint positional relationship table and a second acupoint positional relationship table, wherein the ith row of the first acupoint positional relationship table includes (C1) i ，h1，P ci )，C1 i An ID of an i-th first acupoint of the n1 first acupoints, i having a value of 1 to n1, h1 having a value of 1 or 2, wherein h1=1 represents C1 i Is positioned on the upper side of the reference acupoint, and h1=2 represents C1 i Is positioned at the lower side of the reference acupoint, P ci Representing the number of straight-in-between the i-th first acupoint and the reference acupoint. The j th row of the second acupoint position relationship table includes (C2 j ，C1 je ，h2，P je )，C2 j ID, C1 for the j-th second acupoint of the n2 second acupoints je Is C2 j The ID of the first acupoint associated with the corresponding second acupoint has a value of h2 of 3 or 4, and h2=3 represents C2 j At C1 je Left side of the corresponding first acupoint, h2=4 represents C2 j At C1 je Right side of corresponding first acupoint, P je Is C2 j And C1 je The corresponding number of transverse dimensions between the first acupoints, e is 1 to n1, and j is 1 to n2.
In the embodiment of the present invention, the ID of the acupoint may be the name of the acupoint or any other identifier capable of knowing the name of the acupoint.
In the embodiment of the present invention, the lateral dimension refers to a unit of measure between acupoints in the lateral direction of the human body, for example, acupoint a is located at the left or right of acupoint B by X lateral dimensions. The straight dimension refers to a unit of measure between points located in the longitudinal direction of the human body, for example, point a is located at X straight dimension positions above or below point B.
Those skilled in the art know that n set acupoints can be obtained from the target infrared image through the first acupoint position relationship table and the second acupoint position relationship table. In practical application, when the target infrared image is a frontal image of a human body, all acupoints on the conception vessel can be acquired through the first acupoint position relation table based on the Tiantu or Shenque, and then other acupoints, namely, abdomen meridian acupoints, can be acquired according to the conception vessel and the second acupoint position relation table. When the target infrared image is a human back image, all the acupoints on the governor vessel can be acquired through the first acupoint position relation table based on the greater vertebrae or the greater vertebrae, and then other acupoints, namely the back meridian acupoints, can be acquired according to the governor vessel and the second acupoint position relation table.
In some special cases, such as the case of too thin a human body waist line, the acupoints near the human body contour line may fall outside the human body contour line during calculation, and therefore, the abscissa calculated in this case needs to be adjusted so that the calculated acupoints are located within the human body contour line.
Specifically, in S500, any second acupoint C2 is acquired j If h2=3, if (x je -P je *△x)＜x c1 The coordinates (x c1 +a，y je ) As C2 j Coordinates of the corresponding acupoints; if h2=4, if (x je +P je *△x)＞x c2 The coordinates (x c2 -a，y je ) As C2 j Coordinates of the corresponding acupoints; wherein x is je And y je Respectively C1 je The corresponding abscissa and ordinate, x of the first acupoint c1 Is the ordinate in PL is y je And the abscissa, x, of the pixel point located on the left side of the reference acupoint c2 Is the ordinate in PL is y je And the abscissa of the pixel points located on the right side of the reference acupoint, a, is a preset number of pixels, in one example, a=1.
According to the human body acupoint obtaining method based on the infrared image, provided by the embodiment of the invention, as only the human body contour, the first characteristic acupoint and the second characteristic acupoint are required to be identified in the infrared image, other acupoints in the set acupoints can be automatically identified and set based on the association relation among the acupoints, and in the training process of the acupoint prediction model, all acupoints to be identified are not required to be marked, so that the acupoint marking time can be reduced. In addition, the acupoints except the first characteristic acupoints and the second characteristic acupoints are automatically acquired through the association relation between the acupoints, so that the accuracy of acupoint identification can be improved.
Further, in another embodiment of the present invention, S200 is replaced with:
s210, obtaining y from PL A1 Is defined by two symmetrical pixel point coordinates (x 01 ，y A1 ) And (x) 02 ，y A1 ) Namely, two intersection points of the first intersection line and the human body contour line; wherein x is 01 ＜x A1 ＜x 02 ，x 03 ＜x A2 ＜x 04 。
S300 is replaced with:
s310, will (x) 01 ，y A1 ) Or (x) 02 ，y A1 ) As the coordinates (x) of the reference feature point CA3 A3 ，y A3 ) Two intersections of the first intersection line and the human body contour line are regarded as coordinates of CA 3.
The technical effect of S210 and S310 is that inaccurate position of the obtained shoulder peak point caused by too thin waist line in the target infrared image can be avoided.
Further, in the embodiment of the present invention, after S100, the method further includes the following steps:
s110, if x A1 ≠x A2 Then set x A1 ＝x A2 ＝x 0 That is, if CA1 and CA2 are not on the central axis due to errors or the like, they need to be adjusted to the central axis to improve the accuracy of the acupoint recognition.
Further, the method also comprises the following steps:
s600, visually displaying the obtained target infrared images of the n set acupoints.
Those skilled in the art will recognize that any manner of visually displaying the obtained target infrared images of the n set acupoints falls within the scope of the present invention.
Embodiments of the present invention also provide a non-transitory computer readable storage medium that may be disposed in an electronic device to store at least one instruction or at least one program for implementing one of the methods embodiments, the at least one instruction or the at least one program being loaded and executed by the processor to implement the methods provided by the embodiments described above.
Embodiments of the present invention also provide an electronic device comprising a processor and the aforementioned non-transitory computer-readable storage medium.
Embodiments of the present invention also provide a computer program product comprising program code for causing an electronic device to carry out the steps of the method according to the various exemplary embodiments of the invention as described in the specification, when said program product is run on the electronic device.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the present disclosure is defined by the appended claims.
Claims (10)
1. A human body acupoint acquisition method based on infrared images, characterized by being used for acquiring acupoints of a trunk area, wherein the trunk area comprises n set acupoints, the method comprising:
s100, identifying human body contour lines in the target infrared image to obtain a corresponding human body contour line pixel point set PL= (PL) 1 ，PL 2 ，…，PL r ，…，PL M )，PL r R is the r pixel point in PL, the value of r is 1 to M, M is the number of pixels in PL, PL r Is (x) Lr ，y Lr ) The method comprises the steps of carrying out a first treatment on the surface of the And identifying the first characteristic acupoint CA1 and the second characteristic acupoint CA2 in the target infrared image to obtain corresponding pixel point coordinates (x) A1 ，y A1 ) And (x) A2 ，y A2 ) Wherein CA1 and CA2 are the acupoints in n set acupoints respectively, and CA1 and CA2 are positioned on the central axis of the human body, and CA2 is positioned below CA 1;
s200, obtaining the ordinate y from PL A1 Is defined by two symmetrical pixel point coordinates (x 01 ，y A1 ) And (x) 02 ，y A1 ) And acquiring the ordinate y from PL A2 Is defined by two symmetrical pixel point coordinates (x 03 ，y A2 ) And (x) 04 ，y A2 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is 01 ＜x A1 ＜x 02 ，x 03 ＜x A2 ＜x 04 ；
S300, acquisition (min (x) 01 ，x 03 )，y A1 ) Or (min (x) 02 ，x 04 )，y A1 ) The corresponding pixel point coordinates are used as coordinates (x A3 ，y A3 )；
S400, obtaining the transverse length Deltax= |x A3 -x A1 ∣/W 13 And obtaining the straight-in length Δy= |y A2 -y A1 ∣/V 12 ，W 13 V is the number of transverse dimensions between CA1 and CA3 12 Is the number of straight inches between CA1 and CA 2;
s500, taking CA1 or CA2 as a reference acupoint, and acquiring the rest acupoints in the n set acupoints in the target infrared image based on a positional relationship table among the Deltax, deltay and the n set acupoints.
2. The method of claim 1, wherein S200 is replaced with:
s210, obtaining y from PL A1 Is defined by two symmetrical pixel point coordinates (x 01 ，y A1 ) And (x) 02 ，y A1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein x is 01 ＜x A1 ＜x 02 ，x 03 ＜x A2 ＜x 04 ；
S300 is replaced with:
s310, will (x) 01 ，y A1 ) Or (x) 02 ，y A1 ) As the coordinates (x) of the reference feature point CA3 A3 ，y A3 ) The method comprises the steps of carrying out a first treatment on the surface of the CA3 is one of n set acupoints.
3. The method according to claim 1, further comprising the step, after S100, of:
s110, if x A1 ≠x A2 Then set x A1 ＝x A2 ＝x 0 ，x 0 Is the abscissa of the central axis.
4. The method according to claim 1, wherein the n set points include n1 first points located on the central axis of the human body and n2 second points located on both sides of the central axis of the human body, and the positional relationship table between the n set points includes a first point positional relationship table and a second point positional relationship table, wherein an i-th row of the first point positional relationship table includes (C1) i ，h1，P ci )，C1 i An ID of an i-th first acupoint of the n1 first acupoints, i having a value of 1 to n1, h1 having a value of 1 or 2, wherein h1=1 represents C1 i Is positioned on the upper side of the reference acupoint, and h1=2 represents C1 i Is positioned at the lower side of the reference acupoint, P ci Representing the number of straight-in-between the ith first acupoint and the reference acupoint; the j th row of the second acupoint position relationship table includes (C2 j ，C1 je ，h2，P je )，C2 j ID, C1 for the j-th second acupoint of the n2 second acupoints je Is C2 j The ID of the first acupoint associated with the corresponding second acupoint has a value of h2 of 3 or 4, and h2=3 represents C2 j At C1 je Left side of the corresponding first acupoint, h2=4 represents C2 j At C1 je Right side of corresponding first acupoint, P je Is C2 j And C1 je The corresponding number of transverse dimensions between the first acupoints, e is 1 to n1, and j is 1 to n2.
5. The method of claim 4, wherein in S500, any second acupoint C2 is acquired j If h2=3, if (x je -P je *△x)＜x c1 The coordinates (x c1 +a，y je ) As C2 j Coordinates of the corresponding acupoints; if h2=4, if (x je +P je *△x)＞x c2 The coordinates (x c2 -a，y je ) As C2 j Coordinates of the corresponding acupoints; wherein x is je And y je Respectively C1 je The corresponding abscissa and ordinate, x of the first acupoint c1 Is the ordinate in PL is y je And the abscissa, x, of the pixel point located on the left side of the reference acupoint c2 Is the ordinate in PL is y je And the abscissa of the pixel points positioned on the right side of the reference acupoint, a is the preset pixel point number.
6. The method of claim 1, wherein PL is obtained based on the steps of:
s101, identifying a human body contour line in a target infrared image to obtain a corresponding human body contour line initial pixel point set PLI= (PLI) 1 ，PLI 2 ，…，PLI r ，…，PLI M )；
S102, acquiring a temperature set TCI= (TLI) corresponding to the PLI 1 ，TLI 2 ，…，TLI r ，…，TLI M )，TLI r For PLI r A corresponding temperature;
s103, if TLI r < T0, execute S104; t0 is a preset temperature value; otherwise, executing S106;
s104, if x LIr ＜x 0 Setting x LIr ＝x LIr +b, if x LIr ＞x 0 Setting x LIr ＝x LIr -b；x 0 X is the abscissa of the central axis LIr For TLI r The corresponding abscissa of the pixel points, b is the number of preset pixel points; s105 is performed;
s105, if the pixel point (x LIr ，y LIr ) The corresponding temperature is less than T0, S104 is executed; otherwise, executing S106;
s106, setting r=r+1, and if r is less than or equal to M, executing S103; otherwise, the control program is exited.
7. The method of claim 1, wherein the n set points are points of a frontal torso region.
8. The method of claim 7, wherein CA1 is the Tiantu acupoint, CA2 is the shenque acupoint, and CA3 is the shoulder peak.
9. The method of claim 1, wherein the n set points are points of a dorsal torso region.
10. The method of claim 9, wherein CA1 is the greater foramen, CA2 is the greater foramen, and CA3 is the shoulder peak.
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