Acupuncture point information detecting and processing device

Abstract

The invention provides an acupoint information detection and processing device, and the device is characterized in that an infrared detection module collects a first infrared signal and a first infrared signal group of a first acupoint in a first acupoint set; acquiring a second infrared signal of the first acupoint while applying excitation to a second acupoint corresponding to the first acupoint in the second acupoint set through the ultrasonic module; the infrared detection module collects a third infrared signal and a second infrared signal group of a second acupuncture point in a second acupuncture point set; when excitation is applied to the first acupuncture point through the ultrasonic module, a fourth infrared signal of the second acupuncture point is collected; and the processing module determines an analysis result of the target organ according to the first infrared signal, the second infrared signal and the first infrared signal group of each acupuncture point in the first acupuncture point set and the third infrared signal, the fourth infrared signal and the second infrared signal group of each acupuncture point in the second acupuncture point set. The integrity and comprehensiveness of acupoint information detection and the accuracy of human body organ analysis are improved.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and more particularly, to an acupoint information detection and processing device. Background Art

[0002] With the continuous development of science and technology, it is possible to detect acupoints on the human body by means of technology, obtain detection signals, and obtain the state analysis results of the viscera corresponding to the acupoints by signal processing and signal analysis of the detection signals.

[0003] In the prior art, by collecting electrical signals, temperature signals or impedance values on meridian acupoints, and processing and analyzing the collected data to obtain signal analysis results, so as to know the state information of the viscera corresponding to the meridian acupoints through the signal analysis results.

[0004] However, when detecting acupoints in the prior art, the information collection method used is relatively single, and there are problems that the collection results are not complete and comprehensive enough, so it will affect the accuracy of subsequent analysis results. Summary of the Invention

[0005] The purpose of this application is to provide an acupoint information detection and processing device for the deficiencies in the above-mentioned prior art, so as to solve the problem that the collection results in the prior art are not complete and comprehensive enough, thus affecting the subsequent analysis results.

[0006] To achieve the above object, the technical solution adopted in this application is as follows:

[0007] In a first aspect, this application provides an acupoint information detection and processing device, which includes: an ultrasonic module, an infrared detection module, and a processing module;

[0008] The infrared detection module collects the first infrared signal and the first infrared signal group of the first acupoint in the first acupoint set;

[0009] While applying an excitation to the second acupoint corresponding to the first acupoint in the second acupoint set through the ultrasonic module, the infrared detection module collects the second infrared signal of the first acupoint, where the two corresponding acupoints in the first acupoint set and the second acupoint set both correspond to the same target viscera;

[0010] The infrared detection module collects the third infrared signal and the second infrared signal group of the second acupoint;

[0011] While applying an excitation to the first acupoint through the ultrasonic module, the infrared detection module collects the fourth infrared signal of the second acupoint;

[0012] The processing module determines the analysis result of the target organ according to the first infrared signals, the second infrared signals, and the first infrared signal group of each acupoint in the first acupoint set, and the third infrared signals, the fourth infrared signals, and the second infrared signal group of each acupoint in the second acupoint set.

[0013] Optionally, the process of the infrared detection module collecting the first infrared signal and the first infrared signal group of the first acupoint in the first acupoint set includes:

[0014] Start the infrared detection module and continuously sample the first acupoint in the first acupoint set to obtain K groups of infrared signal data, where K is a positive integer greater than 1;

[0015] Take the K groups of infrared signal data as the first infrared signal group, and sort the K groups of infrared signal data according to the magnitude of the data values to obtain a sorting result;

[0016] Take the median value of the sorting result as the first infrared signal of the first acupoint.

[0017] Optionally, the process of the infrared detection module collecting the second infrared signal of the first acupoint while applying excitation to the corresponding second acupoint in the second acupoint set through the ultrasonic module includes:

[0018] Apply excitation to the corresponding second acupoint in the second acupoint set through the ultrasonic module for N seconds, and starting from the second second, start the infrared detection module to sample at the first acupoint to obtain the second infrared signal of the first acupoint, where N is a positive integer greater than 1.

[0019] Optionally, the process of the processing module determining the analysis result of the target organ according to the first infrared signals, the first infrared signal group, and the second infrared signals of each acupoint in the first acupoint set, and the third infrared signals, the second infrared signal group, and the fourth infrared signals of each acupoint in the second acupoint set includes:

[0020] If the number of acupoints in the first acupoint set is one, and the number of acupoints in the second acupoint set is one, and the first acupoint in the first acupoint set is symmetric to the second acupoint in the second acupoint set, then determine the first infrared difference value of the first acupoint according to the first infrared signal and the second infrared signal of the first acupoint, and perform Fourier transform on the first infrared signal group to obtain a first frequency spectrum diagram;

[0021] Determine a second infrared difference corresponding to the second acupoint according to a third infrared signal and the fourth infrared signal of the second acupoint symmetric to the first acupoint, and perform a Fourier transform on the second infrared signal group to obtain a second spectrogram;

[0022] Determine an analysis result of the target organ according to the first infrared difference, the second infrared difference, the first spectrogram, and the second spectrogram.

[0023] Optionally, the process of determining the analysis result of the target organ according to the first infrared difference, the second infrared difference, the first spectrogram, and the second spectrogram includes:

[0024] If the first infrared difference and the second infrared difference are within a first change value range, or the difference between the first infrared difference and the second infrared difference is within a first difference range, then determine the analysis result of the target organ according to the first infrared difference and the second infrared difference;

[0025] If the first infrared difference and the second infrared difference are not within the first change value range, and the difference between the first infrared difference and the second infrared difference is not within the first difference range, then determine the analysis result of the target organ according to the first spectrogram and the second spectrogram.

[0026] Optionally, the process by which the processing module determines the analysis result of the target organ according to the first infrared signal, the first infrared signal group and the second infrared signal of each acupoint in the first acupoint set, and the third infrared signal, the second infrared signal group and the fourth infrared signal of each acupoint in the second acupoint set includes:

[0027] If the number of acupoints in the first acupoint set is multiple, and the number of acupoints in the second acupoint set is multiple, and each acupoint in the first acupoint set is symmetric to each acupoint in the second acupoint set, then respectively determine an initial infrared difference for each acupoint according to the first infrared signal and the second infrared signal of each acupoint in the first acupoint set, and determine a final infrared difference for each acupoint in the second acupoint set according to the third infrared signal and the fourth infrared signal of each acupoint in the second acupoint set;

[0028] Determine the difference between the initial infrared difference and the final infrared difference according to the initial infrared difference of each acupoint in the first acupoint set and the final infrared difference of each acupoint in the second acupoint set that is symmetric to each acupoint in the first acupoint set;

[0029] Perform a Fourier transform on the first infrared signal group to obtain a first spectrogram, and perform a Fourier transform on the second infrared signal group to obtain a second spectrogram;

[0030] Determine the analysis result of the target organ according to the first spectrogram, the second spectrogram, and the difference between the initial infrared difference and the terminal infrared difference.

[0031] Optionally, the process of determining the analysis result of the target organ according to the first spectrogram, the second spectrogram, and the difference between the initial infrared difference and the terminal infrared difference includes:

[0032] If the difference between the initial infrared difference and the terminal infrared difference is within the second change value range, determine the analysis result of the target organ according to the difference between the initial infrared difference and the terminal infrared difference;

[0033] If the difference between the initial infrared difference and the terminal infrared difference is not within the second change value range, determine the analysis result of the target organ according to the first spectrogram and the second spectrogram.

[0034] Optionally, when the ultrasonic module is started, self-detection is performed. The process of self-detection of the ultrasonic module includes:

[0035] Collect multiple groups of ultrasonic data, and each group of ultrasonic data includes an ultrasonic frequency value and an ultrasonic intensity value respectively;

[0036] Perform rejection processing on the multiple groups of ultrasonic data to obtain an ultrasonic frequency target value and an ultrasonic intensity target value;

[0037] Determine the working state of the ultrasonic module according to the ultrasonic frequency target value and the preset frequency range, and the ultrasonic intensity target value and the preset intensity range.

[0038] Optionally, the process of performing rejection processing on the multiple groups of ultrasonic data to obtain an ultrasonic frequency target value and an ultrasonic intensity target value includes:

[0039] Sort the ultrasonic frequency values according to the magnitude of the ultrasonic frequency values in each group of ultrasonic data to obtain a sorting result of the ultrasonic frequency values;

[0040] Sort the ultrasonic intensity values according to the magnitude of the ultrasonic intensity values in each group of ultrasonic data to obtain a sorting result of the ultrasonic intensity values;

[0041] Remove the maximum and minimum values from the sorting result of the ultrasonic frequency values and the sorting result of the ultrasonic intensity values to obtain a set of ultrasonic frequency values and a set of ultrasonic intensity values;

[0042] Take the mean value of the data in the set of ultrasonic frequency values as the ultrasonic frequency target value, and take the mean value of the data in the set of ultrasonic intensity values as the ultrasonic intensity target value.

[0043] Optionally, the process of determining the working state of the ultrasonic module according to the ultrasonic frequency target value and the preset frequency range, and the ultrasonic intensity target value and the preset intensity range includes:

[0044] If the ultrasonic frequency target value is within the frequency range and the ultrasonic intensity target value is within the intensity range, it is determined that the working state of the ultrasonic module is normal;

[0045] If the ultrasonic frequency target value is not within the frequency range or the ultrasonic intensity target value is not within the intensity range, it is determined that the working state of the ultrasonic module is abnormal.

[0046] Optionally, the ultrasonic module includes: an ultrasonic unit and an ultrasonic probe connected to the ultrasonic unit;

[0047] The ultrasonic unit controls the ultrasonic probe to apply an excitation to the acupoint;

[0048] The infrared detection module includes: an infrared detection unit and an infrared detection probe connected to the infrared detection unit;

[0049] The infrared detection unit controls the infrared detection probe to collect the infrared signal of the acupoint.

[0050] Optionally, the acupoint information detection and processing device further includes: a key module and a display module;

[0051] The key module includes a plurality of keys;

[0052] Each key and the display module are both connected to the processing module;

[0053] The processing module generates a control instruction for the ultrasonic module and a control instruction for the infrared detection module according to the trigger state of each key;

[0054] The processing module also sends the analysis result of the target organ to the display module for display.

[0055] The beneficial effects of this application are as follows: By means of ultrasonic excitation combined with infrared signal acquisition, the infrared signals collected can more comprehensively characterize the changes in infrared signals of acupoints before and after the application of excitation, so as to more accurately characterize the analysis results of the organs corresponding to the acupoints through the changes in infrared signals. At the same time, by comparing the infrared changes of acupoints on the left and right sides, the location of the meridian with problems in the meridian related to the organ can be determined more precisely, improving the accuracy of human acupoint information acquisition and the integrity of the analysis of human organs. Compared with the prior art, on the premise of improving the accuracy and integrity of the analysis results, this application can realize the physical device through ultrasonic technology and infrared technology, and has good versatility and practicability.

[0056] In order to make the above objects, features, and advantages of this application more obvious and understandable, the following specifically gives preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required to be used in the embodiments. It should be understood that the following drawings only show some embodiments of this application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0058] Figure 1 Shows the external structural schematic diagram of an acupoint information detection and processing device provided by an embodiment of this application;

[0059] Figure 2 Shows the internal structural schematic diagram of an acupoint information detection and processing device provided by an embodiment of this application;

[0060] Figure 3 Shows the flowchart of collecting the first infrared signal provided by an embodiment of this application;

[0061] Figure 4 Shows the flowchart of determining the analysis result of an organ provided by an embodiment of this application;

[0062] Figure 5 Shows another flowchart of determining the analysis result of an organ provided by an embodiment of this application;

[0063] Figure 6 Shows the schematic diagram of a display interface provided by an embodiment of this application;

[0064] Figure 7 Shows the flowchart of performing self-detection on the ultrasonic module provided by an embodiment of this application;

[0065] Figure 8 The figure shows a flowchart for determining the target value of the ultrasonic frequency and the target value of the ultrasonic intensity provided by an embodiment of the present application;

[0066] Figure 9 The figure shows another flowchart for self - detecting an ultrasonic module provided by an embodiment of the present application;

[0067] Figure 10 The figure shows a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0068] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application that is required to be protected, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present application.

[0069] It should be noted that the term "including" will be used in the embodiments of the present application to indicate the existence of the features stated hereinafter, but does not exclude the addition of other features.

[0070] The meridians in the human body correspond to the five internal organs and six hollow organs of the human body. By detecting the acupoints on the meridians and analyzing the detected information, the analysis results of the visceral state can be obtained.

[0071] In the prior art, generally, the electrical signals, impedance values, and temperature signals of the acupoints are detected, and the detected information is analyzed to obtain the analysis results of the state of the viscera corresponding to the acupoints.

[0072] Exemplarily, the detection information of the "Taiyuan" acupoint on the Lung Meridian of Hand - Taiyin in the human body can indicate the health state of the lungs, and each acupoint included in the Lung Meridian of Hand - Taiyin can characterize the health state of the meridian circulation part.

[0073] However, when detecting acupoints in the prior art, the information acquisition method is relatively single, and the information acquisition of the human body's meridian acupoints is not comprehensive enough. Therefore, the accuracy of the analysis results of the visceral state needs to be improved.

[0074] Based on this, the present application proposes an acupoint information detection and processing device, which includes: an ultrasonic module, an infrared detection module, and a processing module. Among them, the infrared detection module is used to detect the infrared information of the acupoints and send the infrared information to the processing module. The processing module is used to send instructions to the ultrasonic processing module to make the ultrasonic processing module generate ultrasonic waves according to the instructions, and analyze according to the infrared information to obtain the analysis result of the zang-fu organs corresponding to the acupoints. By combining the active excitation of the human meridian acupoints by ultrasonic waves with the passive acquisition of meridian acupoint signals by infrared sensors, the acupoint information of the human body is collected and the analysis result of the zang-fu organs is obtained, effectively improving the accuracy of the analysis result and having the advantage of strong versatility.

[0075] The acupoint information detection device can be a physical device, such as Figure 1 shown in the figure, which is a schematic external view of a physical device. The physical device at least includes: a key module, a display module, an ultrasonic probe, and an infrared detection probe. The key module includes multiple keys, such as a key for controlling the ultrasonic module to send ultrasonic waves, a key for controlling the infrared detection module to collect infrared signals, and a key for turning on and off the device. The key module and the display module are both connected to the processing module. The processing module can generate control instructions for the ultrasonic module and the infrared detection module according to the trigger state of the keys. For example, when the user presses the left key, the ultrasonic module is started to generate ultrasonic waves, and when the right key is pressed, the infrared detection module is started to collect infrared signals.

[0076] Figure 2 is a schematic perspective structure diagram of a physical device. Referring to Figure 2 the figure, the ultrasonic module includes an ultrasonic unit and an ultrasonic probe. In the physical device, the ultrasonic unit controls the ultrasonic probe to send ultrasonic waves based on the instructions issued by the processing module. The infrared detection module includes an infrared detection unit and an infrared detection probe. The infrared detection unit controls the infrared detection probe in the figure to collect infrared signals based on the instructions issued by the processing module. The processing module is a module with computing and processing capabilities in the acupoint information detection device, which is encapsulated inside the housing of the physical device and is used to analyze the collected data. The acupoint information detection device may also include a display module. The display module may be the display interface of the acupoint information detection device or the display interface of an electronic device communicatively connected to the acupoint information detection device. After the processing module processes and obtains the analysis result, it can send and display the analysis result on the display interface.

[0077] Next, the working process of the acupoint information detection and processing device in the present application will be described in conjunction with Figure 2 the figure.

[0078] The infrared detection module collects the first infrared signal and the first infrared signal group of the first acupoint in the first acupoint set.

[0079] Among them, each acupoint in the first acupoint set can be an acupoint on the same meridian, and each acupoint is used to indicate the state of the same viscera. Refer to Figure 2 , the infrared detection unit can send a control instruction to the infrared detection probe to collect the first infrared signal of the first acupoint through the infrared detection probe. The steps of collecting infrared signals described later are the same as those of collecting the first infrared signal, and are not elaborated herein.

[0080] When collecting infrared signals, multiple infrared signals can be continuously collected within the collection time to obtain an infrared signal group, and the collected infrared signal group is used as the first infrared signal group. Exemplarily, after starting the infrared detection module, continuous sampling of the acupoint can be performed to obtain multiple groups of infrared signal data. The multiple groups of infrared signal data collected are arranged in the order of collection, and the obtained infrared signal sequence is used as the first infrared signal group.

[0081] In the first implementation manner, the first acupoint set contains multiple acupoints, and each first acupoint is used to indicate the same viscera. The first acupoint set can contain all the acupoints on a meridian indicating the viscera. For example, the first acupoint set can be the acupoint set of the Lung Meridian of Hand-Taiyin, including the first acupoints such as "Shaoshang, Yuji, Jingqu, Taiyuan, Lieque, Kongzui, Chize, Xiabai, Tianfu, Zhongfu, and Yunmen".

[0082] In the second implementation manner, the first acupoint in the first acupoint set can be the yuan-acupoint in the meridian. The yuan-acupoint can represent the health state of the viscera indicated by the meridian and has higher accuracy than other acupoints. Exemplarily, the first acupoint of the Lung Meridian of Hand-Taiyin can be Taiyuan, the first acupoint of the Large Intestine Meridian of Hand-Yangming can be Hegu, and the first acupoint of the Stomach Meridian of Foot-Yangming can be Chongyang, etc.

[0083] Optionally, the first infrared signal and the first infrared signal group of each first acupoint in the first acupoint set can be collected through the infrared detection module. When the first acupoint set contains multiple first acupoints, the first infrared signal and the first infrared signal group of each first acupoint can be collected and recorded in sequence.

[0084] It should be noted that when collecting the infrared signal of the acupoint, the infrared detection module can also perform filtering processing on the signal through hardware such as an amplifier and a filter, so as to further improve the reliability and signal quality of the signal.

[0085] While applying excitation to the second acupoint corresponding to the first acupoint in the second acupoint set through the ultrasonic module, the infrared detection module collects the second infrared signal of the first acupoint, where the two corresponding acupoints in the first acupoint set and the second acupoint set both correspond to the same target viscera.

[0086] After the first infrared signals of each first acupoint are collected, an excitation can be applied through the ultrasonic module, and while the excitation is being applied, the second infrared signals of the first acupoint are collected. The second infrared signals are the infrared signals of the acupoint when the excitation is applied. Refer to Figure 1 and Figure 2 , the user can trigger the key module to cause the processing module to generate and send a control instruction to the ultrasonic unit, so that the ultrasonic unit controls the ultrasonic probe to send ultrasonic waves to the acupoint to apply the excitation. The excitation described hereinafter is that the ultrasonic unit controls the ultrasonic probe to generate ultrasonic waves at the acupoint, and this application will not elaborate here.

[0087] Among them, applying the excitation through the ultrasonic module can be that the ultrasonic probe in the ultrasonic module provides sound waves with a low frequency or a high frequency vibration frequency for the second acupoint in a continuous manner or a pulsed manner.

[0088] Exemplarily, assuming that the first acupoint in the first acupoint set is the Yangchi acupoint on the left hand, and the second acupoint in the second acupoint set is the Yangchi acupoint on the right hand. After the first infrared signal of the Yangchi acupoint on the left hand is collected through the infrared detection module, an excitation can be applied to the Yangchi acupoint on the right hand through the ultrasonic module, and while the excitation is being applied, the second infrared signal of the Yangchi acupoint on the left hand is collected through the infrared detection module.

[0089] Among them, the second acupoint corresponding to the first acupoint in the second acupoint set can be the contralateral acupoint symmetrical to the first acupoint, or the adjacent acupoint of the contralateral acupoint symmetrical to the first acupoint. Exemplarily, when the first acupoint is the Taiyuan acupoint on the left hand, the second acupoint can be the Taiyuan acupoint on the right hand, and the second acupoint can also be the Jingqu acupoint, Yuji acupoint or Lieque acupoint on the right hand.

[0090] The second acupoint set includes multiple second acupoints. The second acupoints in the second acupoint set can be the symmetrical acupoints of the first acupoints in the first acupoint set, and the second acupoints in the second acupoint set and the first acupoints in the first acupoint set are both used to indicate the state of the same viscera.

[0091] The infrared detection module collects the third infrared signals and the second infrared signal group of the second acupoint.

[0092] Among them, the second acupoint can be any second acupoint in the second acupoint set. Among them, the method of collecting the third infrared signals and the second infrared signal group of the second acupoint can be the same as the method of collecting the first infrared signals and the first infrared signal group of the first acupoint in the above steps. The infrared signals of each acupoint in the second acupoint set can be collected through the infrared detection module. When there are multiple second acupoints in the second acupoint set, the third infrared signals and the second infrared signal group of each second acupoint can be collected and recorded in sequence.

[0093] While applying excitation to the first acupoint through the ultrasonic module, the infrared detection module collects the fourth infrared signal of the second acupoint.

[0094] After collecting the third infrared signals of each second acupoint, excitation can be applied through the ultrasonic module, and while applying the excitation, the fourth infrared signal of the second acupoint is collected. The fourth infrared signal is the infrared signal of the second acupoint when the excitation is applied. Applying excitation through the ultrasonic module can be to provide sound waves with a low frequency or a high frequency vibration for the first acupoint in a continuous or pulsed manner through the ultrasonic module.

[0095] Among them, the first acupoint can be the acupoint corresponding to the second acupoint in the second acupoint set, including the acupoint symmetric to the first acupoint in the second acupoint set and the acupoints adjacent to the symmetric acupoint of the first acupoint.

[0096] The processing module determines the analysis result of the target organ according to the first infrared signal, the second infrared signal and the first infrared signal group of each acupoint in the first acupoint set, and the third infrared signal, the fourth infrared signal and the second infrared signal group of each acupoint in each second acupoint set.

[0097] After the infrared detection module collects the infrared signal, it can send the infrared signal to the processing module, and the processing module analyzes and processes it to obtain the analysis result of the target organ.

[0098] Optionally, the first infrared signal, the second infrared signal, the third infrared signal and the fourth infrared signal can be temperature signals collected by an infrared sensor or infrared radiation spectra. The first infrared signal group and the second infrared signal group can be temperature signal sequences or infrared radiation spectrum sequences collected by an infrared sensor, including multiple temperature signals or infrared radiation spectra arranged in the collection order.

[0099] Among them, the first infrared signal and the second infrared signal of the first acupoint are the infrared signals before and after applying excitation to the first acupoint. Therefore, the difference between the first infrared signal and the second infrared signal can characterize the strength change of the infrared signal of the first acupoint before and after applying excitation. The third infrared signal and the fourth infrared signal of the second acupoint are the infrared signals before and after applying excitation to the second acupoint. Therefore, the difference between the third infrared signal and the fourth infrared signal can characterize the strength change of the infrared signal of the second acupoint before and after applying excitation. The first infrared signal group characterizes the strength of the acupoint signal on one side of the first acupoint, and the second infrared signal group characterizes the strength of the acupoint signal on one side of the second acupoint. Therefore, the difference between the first infrared signal group and the second infrared signal group can characterize the strength difference of the infrared signals on both sides of the human body, thereby characterizing the health status of the same organ corresponding to the meridians on the left and right sides. Exemplarily, if the first infrared signal group and the second infrared signal group indicate a large difference in the strength of the infrared signals on both sides, it indicates that there is a blockage in the meridian on the left or right side. At this time, it can be explained that the organ corresponding to the meridian may have a health risk.

[0100] It can be understood that ultrasonic waves have temperature and penetrability. Applying ultrasonic excitation to acupoints can produce a certain degree of irritation to the acupoints and cause changes in the infrared signals of the acupoints. Before and after applying excitation, the greater the change in the infrared signal of the acupoint, the more likely it is that the organ corresponding to the acupoint has a health problem. Therefore, in one possible implementation, the infrared signal change value of the first acupoint can be determined based on the first infrared signal and the second infrared signal of the first acupoint, and the infrared signal change value of the second acupoint can be determined based on the third infrared signal and the fourth infrared signal of the second acupoint. The infrared signal change value is used to characterize the health status of the organs corresponding to the first acupoint and the second acupoint.

[0101] Furthermore, the present application can also analyze the symmetric acupoints in the first acupoint set and the second acupoint set. In the state of healthy human organs, the infrared signal changes of the symmetric acupoints in the first acupoint set and the second acupoint set are approximate values. Therefore, if the infrared signal change values of the symmetric acupoints differ greatly, it can be explained that there is a problem with the health status of the organ corresponding to the acupoint. Among them, the infrared signal change value of the acupoint can be the difference between the first infrared signal of the first acupoint and the third infrared signal of the second acupoint symmetric to it, or the difference between the second infrared signal of the first acupoint and the fourth infrared signal of the second acupoint symmetric to it, or the difference between the first infrared signal group of the first acupoint and the second infrared signal group of the second acupoint symmetric to the first acupoint.

[0102] Optionally, the analysis result of the target organ can be the health status of the target organ or the risk prediction value of the existence of health hazards in the target organ. Among them, exemplarily, if the infrared signal change values of the Taiyuan acupoints on the left and right sides of the human body differ greatly, it can be explained that there are relatively large health hazards in the lungs of the human body and can indicate which side of the left and right sides of the human body has a circulation problem.

[0103] In the embodiments of the present application, through the method of ultrasonic excitation combined with infrared signal acquisition, the infrared signals collected can more comprehensively characterize the changes in the infrared signals of the acupoints before and after the application of excitation. Thus, the analysis results of the viscera corresponding to the acupoints can be more accurately characterized through the changes in the infrared signals. At the same time, by comparing the infrared changes of the acupoints on the left and right sides, the location of the meridian with problems in the meridian related to the viscera can be more precisely determined, improving the accuracy of human acupoint information acquisition and the integrity of the analysis of human viscera. Compared with the prior art, on the premise of improving the accuracy and integrity of the analysis results, the present application can implement the physical device through ultrasonic technology and infrared technology, with good versatility and practicability.

[0104] The following is a further description of the above-mentioned acquisition of the first infrared signal of the first acupoint in the first acupoint set by the infrared detection module, as Figure 3 shown, the process of acquiring the first infrared signal includes:

[0105] S301. Start the infrared detection module and continuously sample the first acupoint in the first acupoint set to obtain K groups of infrared signal data, where K is a positive integer greater than 1.

[0106] S302. Take the K groups of infrared signal data as the first infrared signal group, and sort the K groups of infrared signal data according to the magnitude of the data values to obtain a sorting result.

[0107] S303. Take the median value of the sorting result as the first infrared signal of the first acupoint.

[0108] After the infrared detection module is started, it can continuously sample K groups of infrared signal data per second to obtain the first infrared signal group. After sorting the K groups of infrared signal data in ascending order, the median value of the K groups of infrared signals can be taken as the first infrared signal.

[0109] If the infrared signal data for multiple seconds is collected, the effective value of the infrared signal data per second can be determined first, and the median value or average value of the effective values of all the infrared signal data can be taken as the first infrared signal.

[0110] It should be noted that due to the influence of detection methods or other factors, not all the data collected by the infrared detection module can be used as effective values for subsequent analysis. In the embodiments of the present application, by sorting the collected data and taking the median value as the effective first infrared signal, the reliability of the data can be ensured, thereby improving the accuracy of the subsequent analysis results.

[0111] It should be understood that the above steps S301 - S303 are only illustrated by taking the acquisition of the first infrared signal and the first infrared signal group as an example. The acquisition methods of the second infrared signal, the third infrared signal, the fourth infrared signal, and the second infrared signal group can be the same as those of the above steps S301 - S303, and the present application will not elaborate here.

[0112] The following is a further description of the above process of applying excitation to the second acupoint corresponding to the first acupoint in the second acupoint set through the ultrasonic module while collecting the second infrared signal of the first acupoint through the infrared detection module. This process includes:

[0113] Apply excitation to the second acupoint corresponding to the first acupoint in the second acupoint set for N seconds through the ultrasonic module, and starting from the second second, start the infrared detection module to sample at the first acupoint to obtain the second infrared signal of the first acupoint, where N is a positive integer greater than 1.

[0114] After collecting the first infrared signal, excitation can be applied to the second acupoint for N seconds, where the second acupoint can be the symmetric acupoint of the first acupoint or the adjacent acupoint of the symmetric acupoint of the first acupoint.

[0115] While applying excitation to the second acupoint, the infrared detection module can be used to sample at the first acupoint to obtain the second infrared signal of the first acupoint. As a possible implementation, assuming that the moment when excitation is applied to the second acupoint through the ultrasonic module is T0 moment, then starting from the T0 + 1 moment, the infrared detection module can be used to collect the second infrared signal of the first acupoint.

[0116] Among them, the method of collecting the second infrared signal can be the same as the method of collecting the first infrared signal, including continuously sampling K groups of infrared signal data per second, sorting the K groups of infrared signal data, and taking the median value as the effective value of the current second. After collecting the effective values of the infrared signals for multiple seconds, the effective values of the infrared signals for multiple seconds can be sorted, and the median infrared signal effective value can be used as the second infrared signal, or the average value of multiple infrared signal effective values can be used as the second infrared signal. The present application does not limit this here.

[0117] It should be noted that the method of collecting the third infrared signal is the same as the method of collecting the first infrared signal above, the method of collecting the fourth infrared signal is the same as the method of collecting the second infrared signal above, and the method of collecting the second infrared signal group is the same as the method of collecting the first infrared signal group above. The specific process will not be elaborated in the present application here.

[0118] The following is a further description of the first implementation manner of the analysis result for determining the target organ based on the first infrared signals, second infrared signals of each acupoint in the first acupoint set, and the third infrared signals and fourth infrared signals of each acupoint in the second acupoint set, as follows Figure 4 As shown, this process includes:

[0119] S401. If the number of acupoints in the first acupoint set is one, and the number of acupoints in the second acupoint set is one, and the first acupoint in the first acupoint set is symmetric to the second acupoint in the second acupoint set, then determine the first infrared difference of the first acupoint according to the first infrared signal and the second infrared signal of the first acupoint, and perform Fourier transform on the first infrared signal group to obtain the first frequency spectrum diagram.

[0120] Optionally, the first acupoint and the second acupoint are symmetric acupoints, that is, the first acupoint and the second acupoint are symmetrically distributed on the human body. For example, Taiyuan acupoint on the left side of the human body and Taiyuan acupoint on the right side of the human body, Chongyang acupoint on the left side of the human body and Chongyang acupoint on the right side of the human body, etc.

[0121] The first infrared difference of the first acupoint may be the difference between the first infrared signal and the second infrared signal. When the first infrared signal and the second infrared signal are temperature values, the first infrared difference may be the temperature difference of the first acupoint before and after applying the excitation. When the first infrared signal and the second infrared signal are infrared spectrum data, the first infrared difference may be the change value of the infrared spectrum data of the first acupoint before and after applying the excitation.

[0122] Optionally, the first infrared signal group may be expressed as x[n], and its discrete Fourier transform X[k] may be expressed as: where x[n] represents the nth discrete sampling point of the time-domain signal, X[k] represents the kth frequency component of the frequency-domain signal, represents the complex-valued spectrum of the sequence x[n] at the frequency k / N, and i is the imaginary unit. is the complex exponential basis function, which is used to map the time-domain signal to the frequency domain.

[0123] Optionally, the Fourier transform may be performed on the first infrared signal group based on the following formula (1) to obtain the spectrum information of the first infrared signal group at different frequencies, and the transformation result is used as the first frequency spectrum diagram.

[0124]

[0125] where F(ω) is the complex-valued spectrum of the function f(t) at the frequency ω, exp -iωt is the complex exponential basis function, and f(t) is the input time function.

[0126] S402. Determine the second infrared difference of the second acupoint based on the third infrared signal and the fourth infrared signal of the second acupoint symmetric to the first acupoint, and perform Fourier transform on the second infrared signal group to obtain a second spectrogram.

[0127] The second infrared difference corresponding to the second acupoint can be the difference between the third infrared signal and the fourth infrared signal of the second acupoint symmetrically distributed with the first acupoint. When the third infrared signal and the fourth infrared signal are temperature values, the second infrared difference can be the temperature difference of the second acupoint before and after applying the excitation. When the third infrared signal and the fourth infrared signal are infrared spectrum data, the second infrared difference can be the change value of the infrared spectrum data of the second acupoint before and after applying the excitation.

[0128] Among them, the steps of performing Fourier transform on the second infrared signal group can be the same as the steps of performing Fourier transform on the first infrared signal group in the above S401 step, which will not be elaborated herein in this application.

[0129] S403. Determine the analysis result of the target organ based on the first infrared difference, the second infrared difference, the first spectrogram, and the second spectrogram.

[0130] In the first implementation manner, the first infrared difference can characterize the meridian blockage condition on one side of the first acupoint, and the second infrared difference can characterize the meridian blockage condition on one side of the second acupoint. When the first infrared difference and the second infrared difference are relatively close, they may be in the same change interval. Specifically, it can be manifested that the greater the change in the infrared difference, the greater the change value before and after applying the excitation, and it can be considered that the more serious the meridian blockage condition. Exemplarily, the change value includes multiple intervals, and each interval corresponds to a different health state analysis result. Therefore, based on the first infrared difference and the second infrared difference, the meridian blockage conditions of the left and right sides of the target organ can be described, and based on the first infrared difference, the second infrared difference, and the preset change value interval, the analysis result of the target organ of the meridian where the acupoint is located can be determined.

[0131] Exemplarily, assume that both the first infrared difference and the second infrared difference are within the range of change value interval 1, and the health state analysis result corresponding to change value interval 1 is "low", indicating that the risk of health hazards of the organs corresponding to the first acupoint and the second acupoint is relatively low.

[0132] In the second implementation manner, if the first infrared difference and the second infrared difference are quite different and in different change value intervals, then at this time, the meridian blockage conditions on the left and right sides and the health state analysis result of the organ can be further determined based on the first infrared difference and the second infrared difference. By determining the difference between the first infrared difference and the second infrared difference and comparing the difference with the preset difference interval, it can be determined whether there is blockage on the left or right side of the human body, and the risk value corresponding to the difference interval where the difference is located is used as the analysis result of the target organ.

[0133] Exemplarily, assume that the first infrared difference is within variation value range 1, and the second infrared difference is within variation value range 3. The analysis result corresponding to variation value range 1 is "low", and the analysis result corresponding to variation value range 3 is "high". The analysis result of the organ cannot be directly determined. At this time, the difference A between the first infrared difference and the second infrared difference can be calculated, and the difference A is compared with the difference range. If the difference A is within the range of difference range 1, then the analysis result corresponding to difference range 1, "there is congestion on the left side and the organ risk value is high", can be used as the analysis result of the target organ.

[0134] In the third implementation manner, the first infrared difference and the second infrared difference can also be input into a predefined function to calculate the operation result thereof, and the operation result is used to characterize the risk prediction probability of the target organ.

[0135] It should be noted that if accurate analysis results cannot be obtained for the first infrared difference and the second infrared difference, for example, both the first infrared difference and the second infrared difference are less than the minimum value of the minimum variation value range, or the difference between the two is less than the minimum value of the minimum difference range, then accurate analysis results cannot be obtained based on the first infrared difference and the second infrared difference. At this time, analysis can be performed based on the first spectrogram and the second spectrogram to obtain the analysis result of the target organ.

[0136] It should be understood that by performing a Fourier transform on the signal, the time-domain signal can be converted into a frequency-domain signal to obtain a spectrogram, and the spectrogram shows the energy distribution of the signal at different frequencies. Therefore, the energy difference of the signal can be more clearly displayed, and the energy difference can characterize the congestion condition of the meridians on both sides. Therefore, the analysis result of the target organ can be obtained based on this energy difference.

[0137] Further, the steps of determining the analysis result of the target organ according to the first infrared difference, the second infrared difference, the first spectrogram, and the second spectrogram include:

[0138] If the first infrared difference and the second infrared difference are within the first variation value range, or the difference between the first infrared difference and the second infrared difference is within the first difference range, then determine the analysis result of the target organ according to the first infrared difference and the second infrared difference.

[0139] Among them, the first change value range and the first difference range can respectively include multiple sub-ranges, and each sub-range corresponds to a different risk level. If the first infrared difference and the second infrared difference are within the first change value range, the analysis result of the target organ can be determined based on the risk level corresponding to the change value sub-range where the first infrared difference is located and the risk level corresponding to the change value sub-range where the second infrared difference is located. If the difference between the first infrared difference and the second infrared difference is within the first difference range, the analysis result of the target organ can be determined based on the risk level corresponding to the difference sub-range where the difference between the two is located.

[0140] If the first infrared difference and the second infrared difference are not within the first change value range, and the difference between the first infrared difference and the second infrared difference is not within the first difference range, then the analysis result of the target organ is determined according to the first spectrogram and the second spectrogram.

[0141] If both the first infrared difference and the second infrared difference are less than the minimum value of the first change value range, or the difference between the first infrared difference and the second infrared difference is less than the minimum value of the first difference range, it means that an accurate analysis result cannot be obtained based on the first infrared difference and the second infrared difference. At this time, the analysis result of the target organ can be determined based on the first spectrogram and the second spectrogram.

[0142] As a possible implementation, the first spectrogram and the second spectrogram can be compared to obtain the signal energy difference value of the same acupoint, and the signal energy difference value is compared with the energy difference value range, and the risk level corresponding to the sub-range where the signal energy difference value is located is used as the risk level of the target organ.

[0143] The following is a further description of the second implementation of the above-mentioned method for determining the analysis result of the target organ based on the first infrared signals and the second infrared signals of the acupoints in the first acupoint set, and the third infrared signals and the fourth infrared signals of the acupoints in the second acupoint set, as Figure 5 shown, this process includes:

[0144] S501. If the number of acupoints in the first acupoint set is multiple, and the number of acupoints in the second acupoint set is multiple, and the acupoints in the first acupoint set are symmetric to the acupoints in the second acupoint set, then the initial infrared differences of the acupoints are respectively determined according to the first infrared signals and the second infrared signals of the acupoints in the first acupoint set, and the final infrared differences of the acupoints in the second acupoint set are determined according to the third infrared signals and the fourth infrared signals of the acupoints in the second acupoint set.

[0145] The acupoints in the first acupoint set are acupoints on the same meridian, the acupoints in the second acupoint set are acupoints on the same meridian, and the acupoints in the second acupoint set correspond to and are symmetrically distributed with the acupoints in the first acupoint set.

[0146] The initial infrared difference value of the acupoints can characterize the congestion condition of the meridians on the side where each acupoint in the first acupoint set is located, and the terminal infrared difference value can characterize the congestion condition of the meridians on the side where each acupoint in the second acupoint set is located.

[0147] The initial infrared difference value can be the difference between the first infrared signal and the second infrared signal. When the first infrared signal and the second infrared signal are temperature values, the first infrared difference value can be the temperature difference of the acupoint before and after applying the excitation. When the first infrared signal and the second infrared signal are infrared spectrum data, the first infrared difference value can be the change value of the infrared spectrum data of the acupoint before and after applying the excitation.

[0148] When the third infrared signal and the fourth infrared signal are temperature values, the terminal infrared difference value can be the temperature difference of the acupoints in the second acupoint set before and after applying the excitation. When the third infrared signal and the fourth infrared signal are infrared spectrum data, the terminal infrared difference value can be the change value of the infrared spectrum data of the acupoint before and after applying the excitation.

[0149] S502. Determine the difference between the initial infrared difference value and the terminal infrared difference value according to the initial infrared difference values of the acupoints in the first acupoint set and the terminal infrared difference values of the acupoints symmetric to the acupoints in the first acupoint set in the second acupoint set.

[0150] Among them, the difference between the initial infrared difference value and the terminal infrared difference value can characterize the congestion of the meridians on the side corresponding to the first acupoint set or the side corresponding to the second acupoint set, and can characterize the health status of the target organ.

[0151] It should be noted that the initial infrared difference value can characterize the congestion condition of the meridians on the side where each acupoint in the first acupoint set is located. For example, the larger the initial infrared difference value, the more serious the congestion condition of the meridians on that side. The terminal infrared difference value can characterize the congestion condition of the meridians on the side where each acupoint in the second acupoint set is located. For example, the larger the terminal infrared difference value, the more serious the congestion condition of the meridians on that side. The difference between the initial infrared difference value and the terminal infrared difference value can characterize the congestion difference between the two sides of the meridians. The congestion difference can characterize which side of the two sides of the meridians has a more serious congestion condition. The more serious the congestion condition of the meridians, the more likely there are health risks in the target organ.

[0152] S503. Perform Fourier transform on the first infrared signal group to obtain a first frequency spectrum diagram, and perform Fourier transform on the second infrared signal group to obtain a second frequency spectrum diagram.

[0153] Among them, the steps of performing Fourier transform on the first infrared signal group and the second infrared signal group are the same as those in the above S401 step, and are not elaborated in this application.

[0154] S504. Determine the analysis result of the target organ according to the first spectrogram, the second spectrogram, and the difference between the initial infrared difference and the final infrared difference.

[0155] In the first implementation, the average value of the differences between all the initial infrared differences and the final infrared differences can be calculated and compared with a preset difference interval. Each difference interval corresponds to an analysis result. If the average value is within the value range of the difference interval, the analysis result corresponding to the difference interval can be used as the analysis result of the target organ. If the average value is not within the value range of the difference interval, the signal energy difference value is obtained according to the first spectrogram and the second spectrogram, and the risk level corresponding to the signal energy difference value is used as the analysis result of the target organ.

[0156] In the second implementation, different weights can be assigned to each acupoint on the meridian. The weight value is used to represent the importance of the detection result of the acupoint to the analysis result of the organ. For example, a relatively large weight value can be assigned to the original acupoint on the meridian, and a relatively small weight value can be assigned to other acupoints on the meridian except the original acupoint. According to the weight value and the difference between the initial infrared difference and the final infrared difference of each acupoint, the weighted average value of the meridian where the acupoint is located is calculated and compared with the difference interval. If the weighted average value is within the value range of the difference interval, the analysis result corresponding to the difference interval can be used as the analysis result of the target organ. If the weighted average value is not within the value range of the difference interval, the signal energy difference value is obtained according to the first spectrogram and the second spectrogram, and the risk level corresponding to the signal energy difference value is used as the analysis result of the target organ.

[0157] Among them, the analysis result corresponding to the difference interval includes: the meridian position with blockage and the risk value of the target organ corresponding to the meridian. As Figure 6 shown, it is a schematic diagram of the analysis result of the target organ. The horizontal axis coordinates represent the organs, and the vertical axis represents the risk value corresponding to the organ. Exemplarily, "-metal" represents the lung meridian (the corresponding organ is the lung), "-fire" represents the heart meridian (the corresponding organ is the heart), "+metal" represents the large intestine meridian (the corresponding organ is the large intestine), and the coordinates on the horizontal axis are named based on the five elements corresponding to the original acupoints of the organs. The larger the difference between the initial infrared difference and the final infrared difference, Figure 6 the larger the value on the vertical axis in , indicating that the risk of health problems in the target organ is higher.

[0158] The following is a further description of determining the analysis result of the target organ according to the first spectrogram, the second spectrogram, and the difference between the initial infrared difference and the final infrared difference in the above S504 step. This process includes:

[0159] If the difference between the initial infrared difference and the final infrared difference is within the second variation value range, then based on the difference between the initial infrared difference and the final infrared difference, determine the analysis result of the target organ.

[0160] Optionally, the second variation value range includes multiple sub-ranges. If the difference between the initial infrared difference and the final infrared difference is greater than the minimum value of the second variation value range and less than the maximum value of the second variation value range, it indicates that the difference between the initial infrared difference and the final infrared difference can characterize the risk level of the target organ. At this time, the risk level of the sub-range where the difference between the initial infrared difference and the final infrared difference is located can be used as the risk level of the target organ.

[0161] If the difference between the initial infrared difference and the final infrared difference is not within the second variation value range, then based on the first spectrogram and the second spectrogram, determine the analysis result of the target organ.

[0162] If the difference between the initial infrared difference and the final infrared difference is less than the minimum value of the second variation value range, it indicates that the risk level of the target organ cannot be accurately obtained based on the difference between the initial infrared difference and the final infrared difference. At this time, the first spectrogram and the second spectrogram can be compared to obtain the signal energy difference value between the two, and the risk level corresponding to the signal energy difference value can be used as the risk level of the target organ.

[0163] In the embodiments of the present application, by actively applying ultrasonic excitation and collecting infrared signals, the signal strength and change conditions of the acupoints on the human meridian before and after applying the excitation can be analyzed, so as to obtain the congestion condition of the unilateral meridian. The difference between the two sides can further characterize the congestion difference between the two sides of the meridian and represent the analysis result of the health condition of the target organ corresponding to the meridian.

[0164] Before applying excitation to the second acupoints corresponding to the first acupoints in the first acupoint set through the ultrasonic module, in order to ensure the normal operation of the ultrasonic module, the ultrasonic module can be self-tested first, such as Figure 7 shown, this process specifically includes:

[0165] S701. Collect multiple groups of ultrasonic data, each group of ultrasonic data respectively includes an ultrasonic frequency value and an ultrasonic intensity value.

[0166] After turning on the ultrasonic module, N groups of ultrasonic data can be continuously collected first. Each group of ultrasonic data includes an ultrasonic frequency value and an ultrasonic intensity value, where N is an even number.

[0167] S702. Perform rejection processing on the multiple groups of ultrasonic data to obtain an ultrasonic frequency target value and an ultrasonic intensity target value.

[0168] Optionally, the maximum and minimum values in the ultrasonic data can be removed, and the mean value of the remaining N - 2 sets of ultrasonic data can be calculated to obtain the ultrasonic frequency target value and the ultrasonic intensity target value. Among them, the maximum values of the removed ultrasonic data include the maximum value of the ultrasonic frequency value and the maximum value of the ultrasonic intensity value.

[0169] S703. Determine the working state of the ultrasonic module according to the ultrasonic frequency target value, the preset frequency range, the ultrasonic intensity target value, and the preset intensity range.

[0170] Among them, the preset frequency range is used to represent the frequency range when the ultrasonic module works normally, and the preset intensity range is used to represent the intensity range when the ultrasonic module works normally.

[0171] The following is a further description of the above process of removing multiple sets of ultrasonic data to obtain the ultrasonic frequency target value and the ultrasonic intensity target value. As Figure 8 shown, the above step S702 includes:

[0172] S801. Sort the ultrasonic frequency values according to the magnitudes of the ultrasonic frequency values in each set of ultrasonic data to obtain the sorting result of the ultrasonic frequency values.

[0173] S802. Sort the ultrasonic intensity values according to the magnitudes of the ultrasonic intensity values in each set of ultrasonic data to obtain the sorting result of the ultrasonic intensity values.

[0174] Optionally, the ultrasonic frequency values and the ultrasonic intensity values in each set of ultrasonic data can be sorted in descending or ascending order respectively to obtain the sorting result of the ultrasonic frequency values and the sorting result of the ultrasonic intensity values.

[0175] S803. Remove the maximum and minimum values from the sorting result of the ultrasonic frequency values and the sorting result of the ultrasonic intensity values to obtain the set of ultrasonic frequency values and the set of ultrasonic intensity values.

[0176] Optionally, the maximum frequency value and the minimum frequency value in the sorting result of the ultrasonic frequency can be removed, and the remaining ultrasonic frequency values are used as elements in the set of ultrasonic frequency values. The maximum intensity value and the minimum intensity value in the sorting result of the ultrasonic intensity are removed, and the remaining ultrasonic intensity values are used as elements in the set of ultrasonic intensity values.

[0177] S804. Take the mean value of the data in the set of ultrasonic frequency values as the ultrasonic frequency target value, and take the mean value of the data in the set of ultrasonic intensity values as the ultrasonic intensity target value.

[0178] Optionally, an average value can be calculated for the ultrasonic frequency values in the set of ultrasonic frequency values, and the average value can be used as the ultrasonic frequency target value. An average value can be calculated for the ultrasonic intensity values in the set of ultrasonic intensity values, and the average value can be used as the ultrasonic intensity target value.

[0179] The following is a further description of determining the working state of the ultrasonic module according to the ultrasonic frequency target value and the preset frequency range, the ultrasonic intensity target value and the preset intensity range. The above step S703 includes:

[0180] If the ultrasonic frequency target value is within the frequency range and the ultrasonic intensity target value is within the intensity range, it is determined that the working state of the ultrasonic module is normal.

[0181] If the ultrasonic frequency target value is not within the frequency range or the ultrasonic intensity target value is not within the intensity range, it is determined that the working state of the ultrasonic module is abnormal.

[0182] If the frequency range is [Fmin, Fmax] and the intensity range is [Imin, Imax], then when the ultrasonic frequency target value is greater than Fmin and less than Fmax, and the ultrasonic intensity target value is greater than Imin and less than Imax, it is determined that the self-detection of the ultrasonic module is successful, that is, the operating state of the ultrasonic module is normal, and the excitation can be applied to the acupoint through the ultrasonic module. On the contrary, if the ultrasonic frequency target value is less than Fmin or greater than Fmax, or the ultrasonic intensity target value is less than Imin or greater than Imax, it is determined that the self-detection of the ultrasonic module fails, and at this time, the excitation cannot be applied to the acupoint through the ultrasonic module.

[0183] As Figure 9 shown, it is a schematic flow diagram of the self-detection of the ultrasonic module. Referring to Figure 9 , after starting the ultrasonic self-detection, N groups of ultrasonic data are continuously collected. The maximum and minimum values are removed from the collected ultrasonic data, and the sum of the remaining N - 2 groups of data is calculated and averaged to obtain the ultrasonic frequency target value and the ultrasonic intensity target value. If the ultrasonic frequency target value is within the preset frequency range and the ultrasonic intensity target value is also within the preset intensity range, the self-detection of the ultrasonic module is successful; otherwise, the self-detection fails and a prompt message is sent to the user so that the user can repair the ultrasonic module.

[0184] Figure 10The structural schematic diagram of an electronic device provided by an embodiment of the present application is shown, including: a processor 1001, a storage medium 1002, and a bus 1003. The electronic device may be a processing module of the above acupoint information detection and processing device. The storage medium 1002 stores machine-readable instructions executable by the processor 1001. When the electronic device runs, the processor 1001 communicates with the storage medium 1002 through the bus 1003. The processor 1001 executes the machine-readable instructions, which is the preamble part of the method item of the processor 1001, to execute the steps performed by the processing module in the above acupoint information detection and processing device.

[0185] An embodiment of the present application further provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium and is executed when run by a processor. The processor executes the steps performed by the processing module in the above acupoint information detection and processing device.

[0186] In an embodiment of the present application, when the computer program is run by a processor, it may also execute other machine-readable instructions to execute other methods described in the embodiment. For the specific method steps and principles of execution, refer to the description of the embodiment, and details are not elaborated here.

[0187] In the embodiments provided by the present application, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other may be through some communication interfaces. The indirect coupling or communication connection of the device or unit may be in an electrical, mechanical or other form.

[0188] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0189] In addition, each functional unit in the embodiments provided by the present application may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0190] When the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0191] It should be noted that: similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. In addition, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0192] Finally, it should be noted that: the above-mentioned embodiments are only specific implementation manners of this application, used to illustrate the technical solutions of this application, rather than limiting it. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed in this application can still modify the technical solutions described in the foregoing embodiments, or can easily think of changes, or make equivalent replacements for some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of this application. All should be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. An acupoint information detection and processing device, characterized in that: The acupoint information detection and processing device comprises: an ultrasonic module, an infrared detection module and a processing module; The infrared detection module collects a first infrared signal and a first infrared signal group of a first acupoint in a first acupoint set; While applying stimulation to a second acupoint in the second acupoint set corresponding to the first acupoint through the ultrasonic module, the infrared detection module collects a second infrared signal of the first acupoint, wherein the two corresponding acupoints in the first acupoint set and the second acupoint set correspond to the same target organ; The infrared detection module collects the third infrared signal and the second infrared signal group of the second acupuncture point; While applying excitation to the first acupuncture point through the ultrasonic module, the infrared detection module collects a fourth infrared signal of the second acupuncture point; The processing module determines the analysis result of the target organ based on the first infrared signal, the second infrared signal and the first infrared signal group of each acupoint in the first acupoint set, and the third infrared signal, the fourth infrared signal and the second infrared signal group of each acupoint in the second acupoint set.

2. The device according to claim 1, characterized in that The process of the infrared detection module collecting the first infrared signal of the first acupoint in the first acupoint set and the first infrared signal group includes: Starting the infrared detection module and continuously sampling the first acupoint in the first acupoint set to obtain K groups of infrared signal data, where K is a positive integer greater than 1; The K groups of infrared signal data are used as the first infrared signal groups, and the K groups of infrared signal data are sorted according to the size of the data values ​​to obtain a sorting result; The middle value of the sorting results is used as the first infrared signal of the first acupuncture point.

3. The device according to claim 1, characterized in that The process of applying stimulation to the second acupoint corresponding to the first acupoint in the second acupoint set by the ultrasonic module and collecting the second infrared signal of the first acupoint by the infrared detection module includes: The ultrasonic module applies N seconds of excitation to the second acupoint in the second acupoint set corresponding to the first acupoint, and starting from the second second, the infrared detection module is started to sample at the first acupoint to obtain a second infrared signal of the first acupoint, where N is a positive integer greater than 1.

4. The device according to claim 1, characterized in that The process of determining the analysis result of the target organ by the processing module according to the first infrared signal, the first infrared signal group, and the second infrared signal of each acupoint in the first acupoint set, and the third infrared signal, the second infrared signal group, and the fourth infrared signal of each acupoint in the second acupoint set includes: If the number of acupoints in the first acupoint set is one, and the number of acupoints in the second acupoint set is one, and the first acupoint in the first acupoint set is symmetrical with the second acupoint in the second acupoint set, then a first infrared difference of the first acupoint is determined according to a first infrared signal of the first acupoint and the second infrared signal, and Fourier transform is performed on the first infrared signal group to obtain a first spectrum diagram; Determine a second infrared difference corresponding to the second acupoint according to a third infrared signal of a second acupoint symmetrical to the first acupoint and the fourth infrared signal, and perform Fourier transform on the second infrared signal group to obtain a second spectrum diagram; An analysis result of the target organ is determined according to the first infrared difference, the second infrared difference, the first spectrum graph, and the second spectrum graph.

5. The device according to claim 4, characterized in that The process of determining the analysis result of the target organ according to the first infrared difference, the second infrared difference, the first spectrum graph, and the second spectrum graph includes: If the first infrared difference value and the second infrared difference value are within a first change value interval, or the difference between the first infrared difference value and the second infrared difference value is within a first difference value interval, determining the analysis result of the target organ according to the first infrared difference value and the second infrared difference value; If the first infrared difference and the second infrared difference are not within the first change value interval, and the difference between the first infrared difference and the second infrared difference is not within the first difference interval, the analysis result of the target organ is determined based on the first spectrum map and the second spectrum map.

6. The device according to claim 1, characterized in that The process of determining the analysis result of the target organ by the processing module according to the first infrared signal, the first infrared signal group, and the second infrared signal of each acupoint in the first acupoint set, and the third infrared signal, the second infrared signal group, and the fourth infrared signal of each acupoint in the second acupoint set includes: If the number of acupoints in the first acupoint set is multiple, and the number of acupoints in the second acupoint set is multiple, and the acupoints in the first acupoint set are symmetrical with the acupoints in the second acupoint set, then the initial infrared difference of each acupoint is determined according to the first infrared signal and the second infrared signal of each acupoint in the first acupoint set, and the final infrared difference of each acupoint in the second acupoint set is determined according to the third infrared signal and the fourth infrared signal of each acupoint in the second acupoint set; Determine the difference between the initial infrared difference and the final infrared difference according to the initial infrared difference of each acupoint in the first acupoint set and the final infrared difference of each acupoint in the second acupoint set that is symmetrical to each acupoint in the first acupoint set; Performing Fourier transformation on the first infrared signal group to obtain a first frequency spectrum, and performing Fourier transformation on the second infrared signal group to obtain a second frequency spectrum; The analysis result of the target organ is determined according to the first spectrum graph, the second spectrum graph, and the difference between the initial infrared difference value and the final infrared difference value.

7. The device according to claim 6, characterized in that The process of determining the analysis result of the target organ according to the first spectrum graph, the second spectrum graph, and the difference between the initial infrared difference value and the final infrared difference value comprises: If the difference between the initial infrared difference and the final infrared difference is within the second variation value interval, determining the analysis result of the target organ according to the difference between the initial infrared difference and the final infrared difference; If the difference between the initial infrared difference and the final infrared difference is not within the second change value interval, the analysis result of the target organ is determined according to the first spectrum graph and the second spectrum graph.

8. The device according to claim 1, characterized in that The ultrasonic module performs self-detection when it is started, and the process of the ultrasonic module self-detection includes: Collecting multiple groups of ultrasonic data, each group of ultrasonic data includes an ultrasonic frequency value and an ultrasonic intensity value; Performing elimination processing on the plurality of groups of ultrasonic data to obtain ultrasonic frequency target values ​​and ultrasonic intensity target values; The working state of the ultrasonic module is determined according to the ultrasonic frequency target value and the preset frequency range, the ultrasonic intensity target value and the preset intensity range.

9. The device according to claim 8, characterized in that The process of eliminating the plurality of sets of ultrasonic data to obtain the ultrasonic frequency target value and the ultrasonic intensity target value includes: Sorting the ultrasonic frequency values ​​according to the magnitude of the ultrasonic frequency values ​​in the ultrasonic data to obtain an ultrasonic frequency value sorting result; Sorting the ultrasonic intensity values ​​according to the magnitude of the ultrasonic intensity values ​​in the ultrasonic data to obtain an ultrasonic intensity value sorting result; Eliminate the maximum value and the minimum value in the ultrasonic frequency value sorting results and the ultrasonic intensity value sorting results to obtain an ultrasonic frequency value set and an ultrasonic intensity value set; The mean value of each data in the ultrasonic frequency value set is used as the ultrasonic frequency target value, and the mean value of each data in the ultrasonic intensity value set is used as the ultrasonic intensity target value.

10. The device according to claim 8, characterized in that The process of determining the working state of the ultrasonic module according to the ultrasonic frequency target value and the preset frequency interval, the ultrasonic intensity target value and the preset intensity interval includes: If the ultrasonic frequency target value is within the frequency range, and the ultrasonic intensity target value is within the intensity range, it is determined that the working state of the ultrasonic module is normal; If the ultrasonic frequency target value is not within the frequency range, or the ultrasonic intensity target value is not within the intensity range, it is determined that the working state of the ultrasonic module is abnormal.

11. The device according to any one of claims 1 to 10, characterized in that: The ultrasonic module comprises: an ultrasonic unit and an ultrasonic probe connected to the ultrasonic unit; The ultrasonic unit controls the ultrasonic probe to apply excitation to the acupuncture points; The infrared detection module comprises: an infrared detection unit and an infrared detection probe connected to the infrared detection unit; The infrared detection unit controls the infrared detection probe to collect infrared signals of acupuncture points.

12. The device according to claim 11, characterized in that The acupoint information detection and processing device further includes: a key module and a display module; The button module includes a plurality of buttons; Each button and the display module are connected to the processing module; The processing module generates control instructions for the ultrasonic module and control instructions for the infrared detection module according to the triggering status of each button; The processing module also sends the analysis result of the target organ to the display module for display.

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