Treatment method and system based on automatic frequency spectrum infrared rehabilitation equipment

Abstract

The invention relates to the technical field of rehabilitation equipment, in particular to a treatment method and system based on automatic frequency spectrum infrared rehabilitation equipment, and the method comprises the steps that an infrared thermogram of the body of a patient is collected, the credibility of the infrared thermogram is calculated, and the credibility is in negative correlation with the heartbeat frequency and the current room temperature of the patient; acquiring an image of which the credibility of the infrared thermogram is greater than a preset threshold within a preset time period as a target image, and performing graying processing on the target image to obtain a grayscale image; and carrying out edge detection on the grayscale image, and extracting a focus area. According to the method, the abnormal degree of the focus area is calculated through the maximum value of the gray values of the pixel points in the focus area and the variance of the gray values of all the pixel points, and the abnormal degree of the focus area is used for performing weighted correction on the power emitted by the spectrum infrared equipment, so that the treatment effect on the focus area of a patient is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of rehabilitation equipment, and more specifically, to a treatment method and system based on automated spectrum infrared rehabilitation equipment. Background Art

[0002] Traditional rehabilitation therapy methods mainly include physical therapy, drug therapy and surgical treatment. Although these methods can relieve the patient's symptoms, the treatment effect is limited and there are certain side effects. In recent years, with the continuous development of artificial intelligence technology, rehabilitation therapy equipment based on infrared thermal imaging technology and bio-wave therapy technology has gradually become a research hotspot.

[0003] In the related technology, for example, a Chinese patent document with a publication number of CN221867134U discloses an automated spectrum infrared rehabilitation bed device. The patent document uses the structure of an adjustment part and a treatment part to adjust the height of the treatment part so that the treatment part is close to or away from the human body. The treatment part is irradiated on the patient's body and can play a therapeutic role on the patient's affected part. The treatment part can be driven to move to the patient's affected part through a slide rail and a slider to accurately treat the patient's affected part.

[0004] When using infrared rehabilitation equipment, it is necessary to use a thermal imaging camera to locate the diseased part of the patient's body and then perform infrared treatment on it. However, due to the ambient temperature and the patient's nervousness in seeing a doctor, it will have an impact on the patient's body, which will affect the result of identifying the patient's diseased part, resulting in poor treatment effect for the patient. Summary of the invention

[0005] The present invention provides a treatment method and system based on automated spectrum infrared rehabilitation equipment, aiming to solve the problem in related technologies that the ambient temperature and the patient's nervousness when seeing a doctor will have an impact on the patient's body, which will affect the result of identifying the patient's diseased part, resulting in poor treatment effect on the patient.

[0006] In the first aspect, the present invention provides a treatment method based on automated spectrum infrared rehabilitation equipment, including an infrared spectrum cover 14 for emitting infrared rays, including: collecting an infrared thermal image of the patient's body and calculating the credibility of the infrared thermal image, wherein the credibility is negatively correlated with the patient's heart rate and the current room temperature; obtaining an image of the infrared thermal image within a preset time period whose credibility is greater than a preset threshold as a target image, and graying the target image to obtain a grayscale image; performing edge detection on the grayscale image, extracting the lesion area, and calculating the degree of abnormality of the lesion area, wherein the degree of abnormality is positively correlated with the ratio of the maximum grayscale value of the pixel point in the lesion area to the variance of the grayscale values ​​of all the pixels; weighting the basic treatment power of the infrared light according to the degree of abnormality of the lesion area to obtain a final treatment power, and treating the lesion area based on the final treatment power of the infrared light.

[0007] Furthermore, the final treatment power is calculated using the following formula: ; In the formula, is the final treatment power of lesion area i, is the abnormality degree of the lesion area i, It is the basic therapeutic power of infrared rehabilitation equipment.

[0008] Furthermore, the abnormality degree of the lesion area i is calculated using the following formula: ; In the formula, represents the abnormality degree of the lesion area i, Represents the maximum gray value of the pixel in the lesion area i, represents the number of pixels in the lesion area i, Represents the gray value of pixel C, represents the mean gray value of all pixels in the lesion area i, Represents the standard normalization function.

[0009] Furthermore, the method further includes: in response to the presence of a plurality of infrared thermal images whose credibility is greater than a preset threshold within a preset time period, selecting an image with the smallest credibility among the plurality of infrared thermal images as a target image.

[0010] Furthermore, the credibility of the infrared thermal image is calculated using the following formula: ; In the formula, represents the credibility of the i-th infrared thermal image, It represents the heart rate within the preset time before collecting the i-th infrared thermal image. It is represented as the average indoor temperature within the preset time before collecting the i-th infrared thermal image.

[0011] Furthermore, the empirical value of the preset time is 60 seconds.

[0012] Furthermore, performing edge detection on the grayscale image includes: performing edge detection on the grayscale image using a Canny edge detection method.

[0013] Furthermore, the empirical value of the preset threshold is 0.3.

[0014] Furthermore, extracting the lesion area also includes: obtaining the center point coordinates of the lesion area, and controlling the infrared spectrum cover 14 to move to the lesion area to treat the lesion area. In a second aspect, the present invention also provides a treatment system based on automated spectrum infrared rehabilitation equipment, comprising a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to implement any of the above-mentioned treatment methods based on automated spectrum infrared rehabilitation equipment.

[0015] Beneficial effects: (I) The credibility of the infrared thermal image when it is collected is calculated based on the temperature environment and heart rate of the patient when the infrared thermal image of the patient's body is collected, and the infrared thermal image with the highest credibility is selected, thereby improving the accuracy of subsequent calculation of the abnormality of the lesion area.

[0016] (ii) The maximum value of the grayscale value of the pixel points in the lesion area and the variance of the grayscale values ​​of all the pixels are used to calculate the abnormality of the lesion area, and the abnormality of the lesion area is used to perform a weighted correction on the power emitted by the spectrum infrared device to improve the treatment effect on the patient's lesion area. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The following detailed description is read with reference to the accompanying drawings, which illustrate several embodiments of the present invention in an exemplary and non-limiting manner, and in which like or corresponding reference numerals represent like or corresponding parts, wherein: Figure 1 is a schematic diagram schematically illustrating an infrared rehabilitation device according to an embodiment of the present invention; Figure 2 is a flow chart schematically illustrating the calculation of the final treatment power according to an embodiment of the present invention.

[0018] Reference numerals 11. Infrared rehabilitation equipment; 12. Bed board; 13. Slide rail; 14. Infrared spectrum cover; 15. Camera device. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, in one embodiment, the infrared rehabilitation device 11 includes a bed board 12, a camera device 15 and an infrared spectrum cover 14. The infrared spectrum cover 14 can gather infrared energy within a specific range to improve the treatment effect. The infrared rays emitted by the infrared spectrum cover 14 are irradiated on the patient's body, which can play a therapeutic role on the patient's affected part. A slide rail 13 is provided on the bed board 12, and the infrared spectrum cover 14 is installed on the slide rail 13. The slide rail 13 can drive the infrared spectrum cover 14 to move to the patient's affected part, and then treat the patient's affected part. Specifically, the patient lies on the bed board 12, and the camera device 15 identifies the patient's affected part, and then controls the slide rail 13 to drive the infrared spectrum cover 14 to move to the patient's affected part, and finally causes the infrared spectrum cover 14 to emit infrared rays to treat the affected part. In this embodiment, the camera device 15 is an infrared thermal imaging camera, and an infrared thermal imager is an instrument specially used to capture and display infrared thermal images radiated by an object. These devices can detect infrared radiation emitted from the human body surface and convert it into visible thermal images to display the thermal map of human body temperature distribution in real time. They can also be used to analyze thermal images and determine specific areas of temperature difference to facilitate diagnosis of lesion areas.

[0021] In one embodiment, when using the infrared rehabilitation device 11, it is necessary to locate the affected part of the patient's body through a thermal imaging camera and then perform infrared treatment on it. However, the ambient temperature and the patient's nervousness during the visit will affect the patient's body, which will affect the result of identifying the patient's affected part, resulting in a poor treatment effect on the patient. Therefore, the following steps are used to improve the treatment effect on the patient.

[0022] like Figure 2 As shown, S101: collecting an infrared thermal image of the patient's body.

[0023] In one embodiment, the patient lies flat on the bed board 12 of the infrared rehabilitation device 11, and the infrared thermal image of the patient's body is collected by the camera device 15 at preset time intervals within a preset time period, and the patient's heart rate and indoor temperature within the preset time before the infrared thermal image is collected are recorded. The indoor temperature can be obtained by a temperature sensor, which is arranged on one side of the bed board 12 so that the temperature sensor is close to the patient's body and can measure the temperature near the patient, thereby improving the accuracy of subsequent processing steps.

[0024] Collecting the patient's heart rate, including: Collecting the patient's heart rate through a mattress sensor is a non-invasive and comfortable health monitoring method. This type of technology usually uses devices such as pressure sensors, capacitive sensors or accelerometers to monitor and analyze the patient's physiological signals in real time, especially the heart rate. For example: Pressure sensors are often used to detect pressure changes on the mattress. Every time the heart beats, blood is pumped throughout the body, especially to the chest area, and the tiny vibrations of the body will produce slight pressure fluctuations on the surface of the mattress. These fluctuations can be captured by the pressure sensor. The pressure sensor can monitor in real time based on the slight pressure fluctuations caused by changes in the body's weight, breathing and heartbeat. By analyzing the slight pressure changes on the surface of the mattress, the sensor can calculate the heart rate.

[0025] In one embodiment, it should be noted that the patient's heart rate and indoor temperature are measured within a preset time before the infrared thermal image is collected, wherein the preset time is 60 seconds. The reason for this is that the normal heart rate of a human body, i.e., heart rate, refers to the number of heartbeats per minute of a normal person in a quiet state, so 60 seconds is used to facilitate the statistics of the patient's heart rate.

[0026] S102: Filter out target images.

[0027] In one embodiment, after collecting the infrared thermal image of the patient's body, it is necessary to find the lesion area based on the temperature distribution of the infrared thermal image. However, if the temperature environment of the patient is high when collecting the infrared thermal image of the patient's body, or if the patient's heart rate is accelerated due to tension, which in turn accelerates the blood flow rate throughout the body and increases the body temperature, it will affect the overall temperature of the subsequent infrared thermal image and affect the accuracy of the subsequent calculation of the abnormality of the lesion area. Therefore, it is necessary to calculate the credibility of the infrared thermal image, which is negatively correlated with the patient's heart rate and the current room temperature.

[0028] In one embodiment, the credibility of each infrared thermal image in a preset time period can be calculated. When the room temperature is higher and the patient's heart rate is higher, it means that the patient's body temperature is higher than the normal temperature at this time, and the credibility of collecting the infrared thermal image is lower. When the room temperature is lower and the patient's heart rate is more in line with the normal temperature, it means that the patient's body temperature is close to the normal temperature at this time, and the credibility of collecting the infrared thermal image is higher.

[0029] In one embodiment, the credibility of the infrared thermal image is calculated using the following formula: ; In the formula, represents the credibility of the i-th infrared thermal image, It represents the heart rate within the preset time before collecting the i-th infrared thermal image. It is represented as the average indoor temperature within the preset time before collecting the i-th infrared thermal image.

[0030] In another embodiment, the formula for calculating the credibility of the infrared thermal image may be transformed into: ; , where represents the credibility of the i-th infrared thermal image, It represents the heart rate within the preset time before collecting the i-th infrared thermal image. is the standard heart rate, It is represented as the average indoor temperature within a preset time before collecting the i-th infrared thermal image. In this embodiment, the normal heart rate of an adult is 60-100 times / minute, so the middle value can be taken as the standard heart rate, for example, the standard heart rate A is 80. By means of the above calculation formula, the standard heart rate of the human body is taken into account, and the credibility of the infrared thermal image is calculated by the difference between the current patient's heart rate and the standard heart rate, thereby improving the accuracy of the calculation.

[0031] In one embodiment, an image whose credibility of the infrared thermal image is greater than a preset threshold within a preset time period is obtained as a target image. However, when there are multiple infrared thermal images whose credibility is greater than the preset threshold within the preset time period, the image with the smallest credibility among the multiple infrared thermal images is selected as the target image. In this embodiment, the empirical value of the preset threshold is 0.8. In other embodiments, the empirical value of the preset threshold can be 0.85 or 0.9, etc., which can be adjusted according to specific implementation conditions.

[0032] For example, the preset time period is 5 minutes, and the infrared thermal image of the patient's body is collected every 60 seconds. A total of five infrared thermal images are collected. At this time, the credibility of the first infrared thermal image is calculated as , the credibility of the second infrared thermal image is , the credibility of the third infrared thermal image is , the credibility of the fourth infrared thermal image is And the credibility of the fifth infrared thermal image is .like , and The values ​​of are greater than the preset threshold. At this time, the comparison , and The size of , select the infrared thermal image corresponding to the largest value as the target image.

[0033] In another embodiment, after calculating the credibility of the plurality of infrared thermal images within a preset time period, the image with the smallest credibility among the plurality of infrared thermal images may be directly selected as the target image.

[0034] S103: Extracting the lesion area from the target image.

[0035] In one embodiment, infrared thermal imaging technology indirectly reflects physiological changes in the body by measuring the temperature distribution on the body surface. Areas with higher temperatures may be due to the following reasons: Inflammation: Inflammation usually leads to increased local blood flow, which causes the temperature of the area to rise. In infrared thermal images, the site of inflammation may appear as an area with higher temperature. Tumor: Tumor tissue may also cause local temperature increase due to increased angiogenesis or metabolism, especially malignant tumors. These areas may appear as higher temperatures in thermal imaging. Infection: Local immune responses caused by infection can also cause fever, which in turn causes the temperature of the area to rise. Therefore, the lesion area can be extracted based on the high and low temperatures in the image.

[0036] In one embodiment, to extract the lesion area from the target image, the target image must be grayed first. The main function of graying is to convert a color image into a gray image, where the value of each pixel represents the brightness or temperature intensity (gray value). The higher the gray value, the higher the temperature. In addition, for the segmentation and analysis algorithms based on the pixel gray value (such as threshold segmentation, edge detection, etc.), the gray image can reduce the complexity of processing. This facilitates the subsequent extraction of the lesion area and the calculation of the abnormality of the lesion area.

[0037] In one embodiment, the target image is grayed to obtain a gray image, and edge detection is performed on the gray image to extract the lesion area. The Canny edge detection method can be used to perform edge detection on the gray image to obtain the lesion area. It should be noted that before edge detection is performed on the gray image, a filter (such as a Gaussian filter) can also be used to smooth the image to reduce the impact of noise on edge detection.

[0038] S104: Calculate the abnormality degree of the lesion area.

[0039] In one embodiment, after edge detection is performed on the grayscale image, at least one lesion area is obtained, and then the abnormality of each lesion area is calculated, wherein the abnormality is positively correlated with the ratio of the maximum grayscale value of the pixel point in the lesion area to the variance of the grayscale value of all pixels. The larger the grayscale value of the pixel point in the lesion area, the higher the temperature of the lesion area, which means that the condition of the lesion area is more serious. Therefore, the abnormality of each lesion area can be calculated to characterize the severity of the condition.

[0040] In one embodiment, the abnormality degree of each lesion area is calculated using the following formula: ; In the formula, represents the abnormality degree of the lesion area i, Represents the maximum gray value of the pixel in the lesion area i, represents the number of pixels in the lesion area i, Represents the gray value of pixel C, represents the mean gray value of all pixels in the lesion area i, Represents the standard normalization function.

[0041] in, The larger the value, the higher the maximum temperature value of the lesion area i, indicating that there is an area with a serious condition in the lesion area, and the greater the abnormality of the lesion area i. The larger the variance of the grayscale values ​​of all pixels in the lesion area, the greater the fluctuation of the grayscale values ​​of all pixels in the lesion area, that is, there is a temperature that is greatly different from the maximum temperature value (that is, there is a lower temperature), and the smaller the abnormality of the lesion area i. The smaller the variance of the grayscale values ​​of all pixels in the lesion area, the smaller the fluctuation of the grayscale values ​​of all pixels in the lesion area, that is, there are more temperatures that are close to the maximum temperature value. At this time, the overall temperature of the lesion area i is higher, and the greater the abnormality of the lesion area i.

[0042] S105: Weighting the basic treatment power of the infrared rehabilitation device 11 to obtain a final treatment power.

[0043] In one embodiment, the basic treatment power of the infrared light is weighted according to the degree of abnormality of the lesion area to obtain a final treatment power, and the lesion area is treated based on the final treatment power of the infrared light.

[0044] In one embodiment, the final treatment power is calculated using the following formula: ; In the formula, is the final treatment power of lesion area i, is the abnormality degree of the lesion area i, It is the basic treatment power of the infrared rehabilitation device 11.

[0045] In one embodiment, after obtaining the lesion area, the coordinates of the center point of the lesion area can be obtained, and the infrared spectrum cover 14 can be controlled to move to the lesion area, and then the infrared spectrum cover 14 is controlled to emit infrared rays according to the final treatment power to treat the lesion area.

[0046] The present invention also provides a treatment system based on automated spectrum infrared rehabilitation equipment, the system comprising a processor and a memory, the memory storing computer program instructions, which, when executed by the processor, implements a treatment method based on automated spectrum infrared rehabilitation equipment according to the first aspect of the present invention.

[0047] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface, whose configuration and functions are known in the art and thus will not be described in detail here.

[0048] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that may be stored or otherwise maintained by such a computer-readable medium.

[0049] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0050] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0051] The above-mentioned embodiments only express several implementation methods of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent application. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.

Claims

1. A method of treatment based on an automated spectrum infrared rehabilitation device, comprising an infrared spectrum mask for emitting infrared rays, characterized in that: include: Collecting an infrared thermal image of the patient's body and calculating the credibility of the infrared thermal image, wherein the credibility is negatively correlated with the patient's heart rate and current room temperature; Acquire an image of the infrared thermal image within a preset time period whose credibility is greater than a preset threshold as a target image, and grayscale the target image to obtain a grayscale image; Performing edge detection on the grayscale image, extracting the lesion area, and calculating the abnormality of the lesion area, wherein the abnormality is positively correlated with the ratio of the maximum grayscale value of the pixel points in the lesion area to the variance of the grayscale values ​​of all the pixels; The basic treatment power of the infrared light is weighted according to the abnormality degree of the lesion area to obtain the final treatment power, and the lesion area is treated based on the final treatment power of the infrared light.

2. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 1 is characterized in that: Calculate the final treatment power using the following formula: ； In the formula, is the final treatment power of lesion area i, is the abnormality degree of the lesion area i, It is the basic therapeutic power of infrared rehabilitation equipment.

3. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 2 is characterized in that: Calculate the abnormality degree of the lesion area i, the calculation formula is: ; In the formula, represents the abnormality degree of the lesion area i, Represents the maximum gray value of the pixel in the lesion area i, represents the number of pixels in the lesion area i, Represents the gray value of pixel C, represents the mean gray value of all pixels in the lesion area i, Represents the standard normalization function.

4. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 1, characterized in that: Also includes: In response to the fact that the credibility of multiple infrared thermal images is greater than a preset threshold within a preset time period, an image with the smallest credibility among the multiple infrared thermal images is selected as the target image.

5. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 1, characterized in that: The reliability of the infrared thermal image is calculated using the following formula: ； In the formula, represents the credibility of the i-th infrared thermal image, It represents the heart rate within the preset time before collecting the i-th infrared thermal image. It is represented by the average indoor temperature within the preset time before collecting the i-th infrared thermal image. Expressed as a normalized function.

6. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 5, characterized in that: The empirical value of the preset time is 60 seconds.

7. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 1, characterized in that: Performing edge detection on the grayscale image includes: The Canny edge detection method is used to perform edge detection on the grayscale image.

8. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 1, characterized in that: The empirical value of the preset threshold is 0.

3.

9. The treatment method based on automated spectrum infrared rehabilitation equipment according to claim 1, characterized in that: Extract the lesion area, including: The coordinates of the center point of the lesion area are obtained, and the infrared spectrum mask is controlled to move to the lesion area to treat the lesion area.

10. A treatment system based on an automated spectrum infrared rehabilitation device, comprising a processor and a memory, characterized in that: The memory stores a computer program, and the processor executes the computer program to implement the treatment method based on the automated spectrum infrared rehabilitation device as described in any one of claims 1-9.

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