Interference electric equipment for adjuvant therapy of arthritis

Abstract

The invention relates to the technical field of ultrasonic treatment, and provides an interference electric device for adjuvant therapy of arthritis, an ultrasonic detection unit comprehensively detects a target joint part by using ultrasound, accurately identifies an articular cavity boundary in the detection process, determines a detection layer based on the depth of the target joint part, and scans the detection layer. The ultrasonic attenuation coefficients of different detection layers are obtained, and the condition of each layer of tissue in the joint can be known more comprehensively and meticulously; the inflammation position, the inflammation area and the inflammation degree can be accurately determined through the intelligent adjusting unit according to the ultrasonic attenuation coefficient obtained by the ultrasonic detection unit, the interference electric parameters are generated according to the determined inflammation information, and the interference electric is directionally output to act on the inflammation position of the target joint part according to the interference electric parameters and the electrode combination layout. The treatment accuracy is greatly improved, the adverse effect on normal tissues is reduced, and the treatment effect and the comfort level of a patient are improved.

Description

Technical Field

[0001] This application relates to the technical field of ultrasonic therapy, and particularly to an interference electrotherapy device for assisting in the treatment of arthritis. Background Art

[0002] There are some limitations in existing interference electrotherapy devices for assisting in the treatment of arthritis. For example, in terms of detection, traditional detection methods are difficult to accurately obtain the boundaries and morphology of inflammation inside the joint. In addition, most detection methods do not consider the influence of joint depth differences on the detection results, and are unable to perform layered detection and obtain the ultrasonic attenuation coefficients of tissues at different depths, making it difficult to comprehensively reflect the true conditions inside the joint.

[0003] From the perspective of treatment, existing interference electrotherapy devices lack pertinence and personalization. The interference electrotherapy parameters often adopt fixed settings or simple manual adjustment methods, and cannot be intelligently adjusted according to the specific inflammation conditions of patients. Moreover, when the interference electrotherapy is output, it is difficult to achieve precise directional focusing, often causing unnecessary stimulation to surrounding normal tissues, which not only affects the treatment effect but may also cause discomfort to patients. Summary of the Invention

[0004] In view of the deficiencies of the prior art, this application provides an interference electrotherapy device for assisting in the treatment of arthritis, which includes a detection and adjustment module, and the detection and adjustment module includes an ultrasonic detection unit and an intelligent adjustment unit;

[0005] The ultrasonic detection unit is used to detect the target joint part through ultrasound, identify the boundary of the joint cavity and segment the synovium and articular cartilage, determine the detection layers based on the depth of the target joint part and perform scanning, obtain the ultrasonic attenuation coefficients of different detection layers, and generate an ultrasonic attenuation distribution map of the joint after fusion;

[0006] The intelligent adjustment unit is used to determine the inflammation location, inflammation area and inflammation degree according to the ultrasonic attenuation distribution map of the joint, generate interference electrotherapy parameters, and according to the interference electrotherapy parameters and the electrode combination layout, enable the interference electrotherapy to be directionally output to act on the inflammation location of the target joint part.

[0007] As an optional implementation manner, the detection logic of the target joint part includes:

[0008] Select the target joint part, cover the target joint part with ultrasound in a fan-shaped scanning mode, and at the same time generate an initial ultrasonic gray-scale image through the echo intensity of the ultrasound;

[0009] Identify the boundary of the joint cavity based on the initial ultrasonic gray-scale image, and segment the synovium and articular cartilage through an image registration algorithm to determine the target detection area;

[0010] Determine the detection stratification according to the depth of the target joint site, adjust the transmission frequency of the ultrasound based on the detection stratification, and scan the target detection area of each detection stratification through a spiral progressive scanning path to obtain the ultrasound attenuation coefficient of each detection stratification;

[0011] Fusion the ultrasound attenuation coefficients of multiple detection stratifications in real time to generate a joint ultrasound attenuation distribution map and mark the abnormal attenuation areas.

[0012] As an alternative implementation, the determination sub-logic of the target detection area includes:

[0013] Preprocess and edge-detect the initial ultrasound grayscale image, identify the edge points of the joint cavity boundary, and perform curve fitting on the edge points to obtain the joint cavity boundary;

[0014] Register the ultrasound grayscale image with the standard joint image through a feature-based image registration algorithm, and segment the synovium and articular cartilage from the ultrasound grayscale image;

[0015] Determine the target detection area according to the recognition result of the joint cavity boundary and the segmentation results of the synovium and articular cartilage.

[0016] As an alternative implementation, the acquisition logic of the ultrasound attenuation coefficient includes:

[0017] Record the transmission frequency and intensity of the ultrasound, and record the echo intensities of different detection stratifications;

[0018] Perform distance correction on the echo intensities of different detection stratifications to obtain the corrected echo intensities;

[0019] Based on the transmission intensity of the ultrasound, the corrected echo intensity, and the propagation distances of different detection stratifications, calculate the ultrasound attenuation coefficients of different detection stratifications.

[0020] As an alternative implementation, the determination logic of the inflammation location, inflammation area, and inflammation degree includes:

[0021] Receive the joint ultrasound attenuation distribution map, and initially screen out the abnormal attenuation areas through threshold segmentation;

[0022] Connect adjacent abnormal attenuation areas based on morphological operations to form the contour of the inflammation area;

[0023] Calculate the centroid coordinates of the inflammation area through the centroid algorithm and mark them as the inflammation location;

[0024] Count the total number of pixels in the inflammation area to obtain the inflammation area;

[0025] Judge the inflammation degree based on the mean value of the ultrasound attenuation coefficients within the inflammation area.

[0026] As an alternative implementation, the generation logic of the interference electrical parameters includes:

[0027] The interference electrical parameters include the amplitude, frequency, and waveform of the interference electricity. The amplitude of the interference electricity is generated according to the degree and area of the inflammation;

[0028] Determine the detection layer where the inflammation area is located to dynamically adjust the frequency of the interference electricity and determine the waveform of the interference electricity;

[0029] Update the ultrasonic attenuation coefficient after the interference electrical parameters act on the inflammation location, and adjust the amplitude of the interference electricity according to the decline rate of the ultrasonic attenuation coefficient.

[0030] As an alternative implementation, the sub-logic for adjusting the amplitude of the interference electricity includes:

[0031] Calculate the adjusted amplitude of the interference electricity according to the decline rate of the ultrasonic attenuation coefficient;

[0032] Apply the adjusted amplitude of the interference electricity to the interference electricity to output directionally to the inflammation location;

[0033] Continuously monitor the decline rate of the ultrasonic attenuation coefficient and the amplitude of the interference electricity to trigger early warning processing.

[0034] As an alternative implementation, the logic for the directional output of the interference electricity includes:

[0035] Determine the electrode combination layout according to the inflammation location and continuously monitor the tissue impedance when the electrode contacts the skin;

[0036] Calculate the phase difference between the electrode combinations according to the generated interference electrical parameters and the electrode combination layout;

[0037] According to the phase difference between the electrode combinations, make the interference electricity form an electric field distribution in space and focus on the inflammation location for directional output;

[0038] During the directional output of the interference electricity, continuously monitor the change data of the tissue impedance and the ultrasonic attenuation coefficient to determine whether to dynamically adjust the phase difference between the electrode combinations and the interference electrical parameters.

[0039] As an alternative implementation, the sub-logic for adjusting the phase difference between the electrode combinations includes:

[0040] Judge the phase delay caused by the tissue impedance and determine the phase compensation value;

[0041] Recalculate the phase difference between the electrode combinations according to the phase compensation value.

[0042] Compared with the prior art, the beneficial effects of the present application are as follows: The ultrasonic detection unit uses ultrasonic waves to comprehensively detect the target joint area, accurately identifies the boundary of the joint cavity during the detection process, and determines the detection stratification and scans based on the depth of the target joint area to obtain the ultrasonic attenuation coefficients of different detection stratifications, enabling a more comprehensive and detailed understanding of the conditions of each layer of tissue inside the joint. By fusing the ultrasonic attenuation coefficients of these different detection stratifications to generate an ultrasonic attenuation distribution map of the joint, the ultrasonic attenuation situation inside the joint can be clearly displayed, providing rich and accurate data for subsequent inflammation analysis.

[0043] Through the intelligent adjustment unit, based on the ultrasonic attenuation coefficients obtained by the ultrasonic detection unit, the inflammation location, inflammation area, and inflammation degree can be accurately determined, and interference electrical parameters can be generated according to the determined inflammation information, realizing personalized customization of interference electrical therapy; and according to the interference electrical parameters and the electrode combination layout, the interference electricity is directionally output to act on the inflammation location of the target joint area, greatly improving the accuracy of treatment, reducing the adverse effects on normal tissues, and enhancing the treatment effect and patient comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for description in the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0045] Figure 1 It is a device module diagram of an interference electrical device for assisting in the treatment of arthritis provided by an embodiment of the present application;

[0046] Figure 2 It is an execution interaction device structure diagram of an interference electrical device for assisting in the treatment of arthritis provided by an embodiment of the present application;

[0047] Figure 3 It is a detection logic diagram of the target joint area of an interference electrical device for assisting in the treatment of arthritis provided by an embodiment of the present application;

[0048] Figure 4 It is a generation logic diagram of the interference electrical parameters of an interference electrical device for assisting in the treatment of arthritis provided by an embodiment of the present application.

[0049] Reference numerals: 1, liquid crystal touch panel; 2, device handle; 3, output intensity adjustment button; 4, device status indicator light; 5, adsorption electrode output port; 6, self-adhesive electrode output port; 7, diagonal pull drawer; 8, device main body. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] In order to make the objectives, technical solutions, and advantages of the embodiments of the present application more apparent and understandable, the following clearly and completely describes the technical solutions in the embodiments of the present application with reference to the accompanying drawings of the specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0051] Embodiment

[0052] As Figure 1 shown, the present application provides a device module diagram of an interference current device for assisting in the treatment of arthritis. The device includes an execution interaction device and a detection and adjustment module.

[0053] As Figure 2 shown, the execution interaction device includes a liquid crystal touch panel 1, a device handle 2, an output intensity adjustment button 3, a device status indicator light 4, an adsorption electrode output port 5, a self-adhesive electrode output port 6, a diagonal pull drawer 7, and a device main body 8.

[0054] The detection and adjustment module is integrated inside the device main body 8. The detection and adjustment module includes an ultrasonic detection unit and an intelligent adjustment unit.

[0055] The ultrasonic detection unit is used to detect the target joint area by ultrasound, identify the boundary of the joint cavity, segment the synovium and articular cartilage, determine the detection stratification based on the depth of the target joint area, and scan to obtain the ultrasonic attenuation coefficients of different detection stratifications, and generate a joint ultrasonic attenuation distribution map after fusion.

[0056] Specifically, as Figure 3 shown, the detection logic of the target joint area includes:

[0057] Select the target joint area, cover the target joint area with ultrasound in a fan-shaped scanning mode, and generate an initial ultrasonic gray-scale image through the echo intensity of the ultrasound at the same time;

[0058] Identify the boundary of the joint cavity based on the initial ultrasonic gray-scale image, segment the synovium and articular cartilage through an image registration algorithm, and determine the target detection area;

[0059] Determine the detection stratification according to the depth of the target joint area, adjust the transmission frequency of the ultrasound based on the detection stratification, and scan the target detection area of each detection stratification through a spiral progressive scanning path to obtain the ultrasonic attenuation coefficient of each detection stratification;

[0060] Fuse the ultrasonic attenuation coefficients of multiple detection stratifications in real time, generate a joint ultrasonic attenuation distribution map, and mark the abnormal attenuation area.

[0061] Accurately detecting the target joint area is the basis for obtaining effective ultrasound data and then judging the joint inflammation condition. Due to the differences in the structures and positions of different joints, targeted detection operations are required. The user selects the target joint area to be detected, such as the knee joint and the wrist joint, etc., through the liquid crystal touch panel 1 of the interactive device. After receiving the information selected by the user, the corresponding instruction is sent to the ultrasound detection unit.

[0062] The ultrasound transducer in the ultrasound detection unit starts to work, emits ultrasonic waves to the target joint area in a fan-shaped scanning mode, rotates according to a preset angle range (such as 60° - 120°) to ensure that the ultrasonic waves can cover most areas of the target joint area. While emitting ultrasonic waves, the ultrasound transducer also receives the echo signals from the joint tissues. The echo signals pass through the signal amplification circuit in the ultrasound detection unit to amplify the weak electrical signals to a processable intensity, and then the noise interference in the echo signals is removed through the filter circuit to improve the quality of the echo signals. The processed echo signals are received and, according to the different echo intensities, the echo signals are accurately mapped from electrical signals into grayscale information in the image to generate an initial ultrasound grayscale image. Through the fan-shaped scanning mode, the ultrasound echo signals of the target joint area can be comprehensively obtained, and the generated initial ultrasound grayscale image can intuitively display the general morphology and structure of the joint tissues, providing basic data for subsequent processing.

[0063] Furthermore, the determination sub-logic of the target detection area includes:

[0064] Preprocess and perform edge detection on the initial ultrasound grayscale image, identify the edge points of the joint cavity boundary, and perform curve fitting on the edge points to obtain the joint cavity boundary;

[0065] Register the ultrasound grayscale image with the standard joint image through a feature-based image registration algorithm, and segment the synovium and articular cartilage from the ultrasound grayscale image;

[0066] Determine the target detection area according to the recognition result of the joint cavity boundary and the segmentation results of the synovium and articular cartilage.

[0067] To more precisely detect the inflammatory region, it is necessary to clarify the target detection region, exclude the interference of irrelevant tissues, and improve the pertinence and accuracy of detection; preprocess the initial ultrasonic grayscale image. First, use the median filtering algorithm to remove the salt-and-pepper noise in the ultrasonic grayscale image. The median filtering algorithm replaces the current pixel value by selecting the median of the pixel values in the local area of the ultrasonic grayscale image, which can effectively suppress the noise while retaining the edge information of the ultrasonic grayscale image; then perform edge detection on the preprocessed ultrasonic grayscale image through the Canny edge detection algorithm. The Canny algorithm calculates the gradient magnitude and gradient direction of the ultrasonic grayscale image and sets the grayscale threshold to screen the edge points, which can accurately detect the edge points of the joint cavity boundary; take the detected edge points as the input and perform curve fitting through the least squares method to obtain a smooth curve, which is the joint cavity boundary. During the fitting process, combine some prior knowledge, such as the approximate shape and range of the joint cavity boundary, to optimize the fitting result and improve the accuracy of the boundary.

[0068] Through a feature-based image registration algorithm, such as the SIFT algorithm, register the ultrasonic grayscale image with the standard joint image built into the device. The SIFT algorithm extracts the key points and their feature descriptors in the ultrasonic grayscale image and finds the matching points between the two images to achieve image registration; after image registration, through an algorithm based on threshold segmentation, according to the grayscale characteristics of the synovium and articular cartilage in the ultrasonic grayscale image, segment the synovium and articular cartilage from the ultrasonic grayscale image. For example, by setting an appropriate grayscale threshold, the pixel points with grayscale values within the grayscale threshold range are classified as synovium or articular cartilage tissue.

[0069] Based on the recognition result of the joint cavity boundary and the segmentation result of the synovium and articular cartilage, comprehensively judge and determine the target detection region, mainly focusing on the areas prone to inflammation such as the junction of the synovium and articular cartilage and the inside of the joint cavity. By delimiting a rectangular frame or a polygonal region, etc., clarify the scope of the target detection region, so as to accurately determine the target detection region, which can reduce the amount of data for subsequent detection, improve the detection efficiency, and at the same time avoid the interference of irrelevant tissues on the detection result and improve the detection accuracy.

[0070] Joint tissues at different depths will have different degrees of inflammation. Through hierarchical detection, it is possible to more comprehensively and meticulously understand the situation inside the joint and improve the detection accuracy; according to the depth information of the target joint part, calculate the number of detection layers and the thickness of each layer. For example, for the knee joint part with a depth of 3 - 5 cm, it is divided into 3 - 5 layers, and the thickness of each layer is about 1 cm. The determination of the detection layers takes into account the penetration ability and resolution requirements of ultrasonic waves in different tissues to ensure that sufficient detailed information can be obtained.

[0071] For different detection layers, the ultrasonic detection unit automatically adjusts the transmission frequency of ultrasonic waves. Generally speaking, for shallower detection layers, a higher transmission frequency, such as 5 - 10 MHz, is adopted to obtain higher resolution; for deeper detection layers, a lower transmission frequency, such as 2 - 5 MHz, is adopted to ensure that ultrasonic waves can penetrate to the corresponding depth. The adjustment of the transmission frequency is achieved by changing the frequency of the driving signal of the ultrasonic transducer.

[0072] Within the target detection area of each detection layer, the ultrasonic transducer scans along a spiral progressive scanning path, starting from the center of the target detection area and gradually expanding outward in a spiral manner. This scanning path can ensure a comprehensive and non - missing scan of the target detection area, while avoiding repeated scanning and missing areas. During the scanning process, the ultrasonic transducer continuously emits and receives ultrasonic waves, and records the ultrasonic attenuation coefficient of each detection layer in real - time. At the same time, information such as the transmission frequency, transmission intensity of ultrasonic waves, and echo intensity of different detection layers is also recorded; through layer - by - layer scanning and targeted frequency adjustment, detailed ultrasonic data of joint tissues at different depths can be obtained, improving the detection accuracy of the internal structure and inflammation condition of joints.

[0073] Specifically, the acquisition logic of the ultrasonic attenuation coefficient includes:

[0074] Record the transmission frequency and transmission intensity of ultrasonic waves, and record the echo intensity of different detection layers;

[0075] Perform distance correction on the echo intensity of different detection layers to obtain the corrected echo intensity;

[0076] Based on the transmission intensity of ultrasonic waves, the corrected echo intensity, and the propagation distance of different detection layers, calculate the ultrasonic attenuation coefficient of different detection layers.

[0077] The ultrasonic attenuation coefficient can reflect the absorption and scattering of ultrasonic waves by joint tissues and is an important basis for judging the location and degree of inflammation; during the scanning process, accurately recording the transmission frequency and transmission intensity of ultrasonic waves, and at the same time recording the echo intensity of different detection layers, can ensure the accuracy and real - time nature of relevant data.

[0078] Since the intensity of ultrasonic waves will attenuate as the propagation distance increases during propagation, distance correction needs to be performed on the echo intensity. According to the propagation speed v of ultrasonic waves in human tissues and the time interval Δt between the emission and reception of ultrasonic waves i , calculate the propagation distance d of each detection layer i , where d i =v×Δt i / 2, taking into account the round - trip propagation; then, by correcting the echo intensity, obtain the corrected echo intensity I i .

[0079] Based on the ultrasonic emission intensity, the corrected echo intensity, and the propagation distances of different detection layers, calculate the ultrasonic attenuation coefficients of different detection layers. The functional expressions of the ultrasonic attenuation coefficients of different detection layers are as follows:

[0080]

[0081] In the formula, α i represents the ultrasonic attenuation coefficient of the i-th detection layer, d i represents the propagation distance of the i-th detection layer, I i represents the corrected echo intensity of the i-th detection layer, and I0 represents the ultrasonic emission intensity.

[0082] Thus, the accurately calculated ultrasonic attenuation coefficient can intuitively reflect the health status of joint tissues, providing a quantitative basis for subsequent judgment of the location and degree of inflammation.

[0083] Displaying the ultrasonic attenuation coefficient in the form of an image can more intuitively present the attenuation conditions of different regions inside the joint, facilitating doctors or operators to judge the location and scope of inflammation; performing a fusion process on the ultrasonic attenuation coefficients of multiple detection layers, and the fused numerical form is expressed as the mean value of the ultrasonic attenuation coefficients of multiple detection layers. Convert the discrete ultrasonic attenuation coefficients into continuous image data through an interpolation algorithm. For example, through a bilinear interpolation algorithm, calculate the ultrasonic attenuation coefficients at other positions in the image based on the ultrasonic attenuation coefficients of adjacent detection points, and then map these ultrasonic attenuation coefficients to different gray values or color values to generate a joint ultrasonic attenuation distribution map. When generating the joint ultrasonic attenuation distribution map, a suitable color mapping table can be set according to actual needs, so that different ranges of ultrasonic attenuation coefficients correspond to different colors, facilitating observation and analysis.

[0084] According to the pre-set normal range of ultrasonic attenuation coefficients, mark the regions exceeding the normal range of ultrasonic attenuation coefficients as abnormal attenuation regions. On the joint ultrasonic attenuation distribution map, the abnormal attenuation regions can be marked with red or other prominent colors. At the same time, relevant information about the abnormal attenuation regions, such as the location and area of the abnormal attenuation regions, can be displayed beside the joint ultrasonic attenuation distribution map or in the form of a pop-up window; thus, it can clearly and intuitively display the ultrasonic attenuation conditions inside the joint, and the marking of the abnormal attenuation regions can quickly locate the inflamed parts, providing an important reference for subsequent treatment.

[0085] The intelligent adjustment unit is used to determine the inflammation location, inflammation area, and inflammation degree according to the joint ultrasonic attenuation distribution map, generate interference electrical parameters, and according to the interference electrical parameters and the electrode combination layout, so that the interference electricity is directionally output to act on the inflammation location of the target joint part.

[0086] Specifically, the determination logic for the inflammation location, inflammation area, and inflammation degree includes:

[0087] Receive the joint ultrasound attenuation distribution map, and initially screen out the abnormally attenuated areas through threshold segmentation;

[0088] Based on morphological operations, connect adjacent abnormally attenuated areas to form the contour of the inflammation area;

[0089] Calculate the center coordinates of the inflammation area through the centroid algorithm and mark them as the inflammation location;

[0090] Count the total number of pixels in the inflammation area to obtain the inflammation area;

[0091] Judge the inflammation degree based on the average value of the ultrasound attenuation coefficients within the inflammation area.

[0092] Defining the specific inflammation location, inflammation area, and inflammation degree provides a key basis for accurately formulating the interferential current therapy plan in the follow-up to achieve personalized and effective treatment; obtain the generated joint ultrasound attenuation distribution map from the ultrasound detection unit, which is stored in the form of a digital image and contains the ultrasound attenuation coefficient information of different regions; through the threshold segmentation method in the image processing algorithm, such as the Otsu algorithm, the Otsu algorithm can automatically calculate an optimal threshold, compare the pixels in the joint ultrasound attenuation distribution map according to their corresponding ultrasound attenuation coefficients with this optimal threshold, and the pixels greater than or equal to this optimal threshold are screened out to initially screen out the abnormally attenuated areas.

[0093] Perform morphological operations on the screened abnormally attenuated areas, mainly including dilation and erosion operations. The dilation operation expands the edge pixels of the abnormally attenuated area outward to connect adjacent abnormally attenuated areas that may have a small gap, while the erosion operation removes the isolated noise points in the abnormal area. After multiple alternating operations of dilation and erosion, a continuous and complete contour of the inflammation area is formed.

[0094] Regard the inflammation area with the formed contour as a two-dimensional planar graph, calculate the center coordinates of the inflammation area through the centroid algorithm. The mathematical principle of the centroid algorithm is to calculate the centroid coordinates according to the coordinates of all pixels in the area and their corresponding weights (the weight can be set to 1, that is, each pixel has the same contribution to the centroid calculation) through the existing calculation formula. This centroid coordinate is the marked position of the inflammation location in the ultrasound attenuation distribution map.

[0095] Traverse all the pixels in the inflammation area and count the total number of pixels. Since each pixel in the joint ultrasound attenuation distribution map corresponds to a certain area of the actual joint part (determined according to the scale of the ultrasound grayscale image), multiplying the total number of pixels by the actual area corresponding to a single pixel can obtain the inflammation area.

[0096] Extract the ultrasonic attenuation coefficients corresponding to all pixel points within the inflamed area, calculate the average value of the ultrasonic attenuation coefficients corresponding to all pixel points, configure the minimum threshold and the maximum threshold and compare them with the average value of the ultrasonic attenuation coefficients corresponding to all pixel points to determine the current degree of inflammation, such as mild inflammation, moderate inflammation or severe inflammation, where mild inflammation means that the average value of the ultrasonic attenuation coefficients corresponding to all pixel points is between 0 and the minimum threshold, and severe inflammation means that the average value of the ultrasonic attenuation coefficients corresponding to all pixel points is greater than the maximum threshold, so as to be able to extract the key information of inflammation from the ultrasonic attenuation distribution map more accurately and provide quantitative and accurate data support for formulating the interferential current therapy plan in the follow-up.

[0097] Specifically, as Figure 4 shown, the generation logic of the interferential current parameters includes:

[0098] The interferential current parameters include the amplitude, frequency and waveform of the interferential current. Generate the amplitude of the interferential current according to the degree of inflammation and the area of inflammation;

[0099] Judge the detection layer where the inflamed area is located to dynamically adjust the frequency of the interferential current and determine the waveform of the interferential current;

[0100] Update the ultrasonic attenuation coefficient according to the action of the interferential current parameters on the inflamed position, and adjust the amplitude of the interferential current according to the decline rate of the ultrasonic attenuation coefficient.

[0101] Generate appropriate interferential current parameters according to the specific situation of the inflammation, so that the interferential current can act more effectively on the inflamed part and improve the treatment effect; Generate the amplitude of the interferential current according to the degree of inflammation (the average value of the ultrasonic attenuation coefficients corresponding to all pixel points) and the area of inflammation. Generally speaking, the more severe the degree of inflammation and the larger the area of inflammation, the higher the output amplitude of the interferential current.

[0102] Judge the detection layer information where the inflamed area is located. This detection layer information is obtained from the ultrasonic detection unit. For different detection layers, due to different tissue characteristics and depths, the response to the interferential current frequency is also different. For example, the shallower detection layer is more sensitive to the interferential current with a higher frequency, while the deeper layer requires a lower frequency of the interferential current to ensure penetration; At the same time, according to the degree of inflammation and the treatment stage, select an appropriate interferential current waveform. For example, the square wave is suitable for stronger stimulation, and the sine wave is relatively gentle and can be switched according to the actual situation.

[0103] Furthermore, the sub-logic for adjusting the amplitude of the interferential current includes:

[0104] Calculate and adjust the amplitude of the interferential current according to the decline rate of the ultrasonic attenuation coefficient;

[0105] Apply the adjusted amplitude of the interferential current to the interferential current to output it directionally to the inflamed position.

[0106] Continuously monitor the decline rate of the ultrasonic attenuation coefficient and the amplitude of the interference current to trigger early warning processing.

[0107] After applying the generated interference current parameters to the inflammatory location, the ultrasonic detection unit detects the joint area again to obtain a new ultrasonic attenuation coefficient, and calculates the decline rate of the ultrasonic attenuation coefficient, that is, (initial ultrasonic attenuation coefficient - new ultrasonic attenuation coefficient) / initial ultrasonic attenuation coefficient, and calculates the adjusted interference current amplitude according to the calculation formula for adjusting the interference current amplitude; the generated interference current parameters can better match the specific conditions of the inflammation, improving the pertinence and effectiveness of interference current therapy.

[0108] The calculation formula for adjusting the amplitude of the interference current is as follows:

[0109] C new = C before ×(1 + k×η);

[0110] In the formula, C new represents the adjusted amplitude of the interference current, C before represents the amplitude of the interference current before adjustment, k represents the adjustment coefficient, k needs to be optimized according to the actual treatment effect and patient feedback, 0 < k < 1, and η represents the decline rate of the ultrasonic attenuation coefficient.

[0111] Specifically, the logic of the directional output of the interference current includes:

[0112] Determine the electrode combination layout according to the inflammatory location and continuously monitor the tissue impedance when the electrode contacts the skin;

[0113] Calculate the phase difference between the electrode combinations according to the generated interference current parameters and the electrode combination layout;

[0114] According to the phase difference between the electrode combinations, make the interference current form an electric field distribution in space and focus on the inflammatory location for directional output;

[0115] During the directional output of the interference current, continuously monitor the change data of the tissue impedance and the ultrasonic attenuation coefficient to determine whether to dynamically adjust the phase difference between the electrode combinations and the interference current parameters.

[0116] Realize the directional output of interference current, enabling the interference current to act concentratedly on the inflamed location, improving the treatment effect, and at the same time reducing the impact on surrounding normal tissues. According to the determined inflamed location, select a suitable electrode combination in the electrode array of the interactive device. For example, if the inflamed location is on one side of a joint, select the electrodes close to that side, and determine the optimal interval and arrangement between the electrodes to ensure that the interference current can focus on the inflamed location; at the contact part between the electrodes and the skin, set impedance sensors. The impedance sensors measure the tissue impedance between the electrode combination and the skin in real time and transmit the measurement data to the intelligent adjustment unit. The change in tissue impedance can reflect the contact state between the electrodes and the skin and the physiological changes inside the tissue.

[0117] According to the generated interference current parameters, including the frequency of the interference current, and then determine the wavelength of the interference current. Combine the information on the electrode combination layout (the interval between electrode combinations) and the angle between the center coordinates of the inflamed area and the electrode connection line to calculate the phase difference between the electrode combinations. The calculation formula for the phase difference between the electrode combinations is as follows:

[0118]

[0119] In the formula, represents the phase difference between the electrode combinations, h represents the interval between the electrode combinations, λ represents the wavelength of the interference current, and θ represents the angle between the center coordinates of the inflamed area and the electrode connection line.

[0120] According to the calculated phase difference between the electrode combinations, control the time sequence of the interference current signals output by the electrodes. By precisely controlling the phase of the signals output by each electrode, make the interference current form a specific electric field distribution in space, and this electric field can focus on the inflamed location to realize the directional output of the interference current.

[0121] During the directional output of the interference current, continuously monitor the change data of the tissue impedance and the ultrasonic attenuation coefficient. If the tissue impedance suddenly increases, the intelligent adjustment unit issues an alarm to prompt the operator that there is a poor contact between the electrodes and the skin. The operator can adjust the position of the electrodes or increase the contact pressure according to the prompt; at the same time, according to the change of the ultrasonic attenuation coefficient, judge whether it is necessary to adjust the interference current parameters. For example, if the ultrasonic attenuation coefficient drops slowly, it means that the treatment effect is not good, and it is necessary to adjust the amplitude, frequency or waveform of the interference current; thus realizing the precise directional output of the interference current, improving the treatment effect, and at the same time being able to adjust the interference current parameters in a timely manner according to the real-time feedback during the treatment process to ensure the safety and effectiveness of the treatment.

[0122] Furthermore, the sub-logic for adjusting the phase difference between the electrode combinations includes:

[0123] Judge the phase delay caused by the tissue impedance and determine the phase compensation value;

[0124] Recalculate the phase difference between electrode combinations according to the phase compensation value.

[0125] During the interference electrotherapy process, due to changes in factors such as tissue impedance, the actual phase difference between electrode combinations will deviate, and adjustment is required to ensure the directional focusing effect of the interference current; the intelligent adjustment unit judges the phase delay situation caused by the change in tissue impedance according to the data of the tissue impedance monitored in real time. For example, when the tissue impedance increases, the signal transmission speed will slow down, resulting in an increase in phase delay.

[0126] According to the judgment result of the phase delay, calculate the phase compensation value, where the phase compensation value and the phase delay are opposite to each other, and recalculate the phase difference between electrode combinations, and then adjust the phase of the electrode output signal according to the new phase difference; thus, it can timely correct the phase deviation caused by factors such as tissue impedance change, ensure that the interference current can always accurately focus on the inflammation position in space, and improve the stability of the treatment effect.

[0127] Specifically, the formula for recalculating the phase difference between electrode combinations according to the phase compensation value is as follows:

[0128]

[0129] In the formula, represents the phase difference between electrode combinations recalculated according to the phase compensation value, h represents the interval between electrode combinations, λ represents the wavelength of the interference current, θ represents the angle between the center coordinate of the inflammation area and the electrode connection line, and φ represents the phase compensation value.

[0130] The operation process of this device is as follows: After the interactive device is powered on, the user inputs the basic information of the patient through the liquid crystal touch panel 1;

[0131] Attach the adsorption electrode or self-adhesive electrode to the joint part of the patient to ensure close contact between the electrode and the skin;

[0132] Start the ultrasonic detection unit to detect the joint part, obtain the ultrasonic attenuation coefficient and transmit it to the intelligent adjustment unit;

[0133] The intelligent adjustment unit analyzes and processes the ultrasonic attenuation coefficient, judges the inflammation condition of the joint, and adaptively adjusts the interference current parameters according to the judgment result;

[0134] The user can fine-tune the output intensity of the interference current through the output intensity adjustment button 3 according to their own feelings;

[0135] The device status indicator 4 displays the working status of the device in real time, such as the power status and the treatment status, etc.;

[0136] After the treatment is over, the user can view the treatment records through the liquid crystal touch panel 1.

Claims

1. An interference current device for adjuvant treatment of arthritis, characterized in that, Including: A detection and adjustment module, which includes an ultrasonic detection unit and an intelligent adjustment unit; The ultrasonic detection unit is used to detect the target joint part by ultrasound, identify the boundary of the joint cavity and segment the synovium and articular cartilage, determine the detection stratification based on the depth of the target joint part and scan, obtain the ultrasonic attenuation coefficients of different detection stratifications, and generate an ultrasonic attenuation distribution map of the joint after fusion; The intelligent adjustment unit is used to determine the inflammation location, inflammation area and inflammation degree according to the ultrasonic attenuation distribution map of the joint, generate interference electric parameters, and according to the interference electric parameters and the electrode combination layout, so that the interference electric is directionally output to act on the inflammation location of the target joint part.

2. The interference current apparatus for adjuvant treating arthritis according to claim 1, wherein, The detection logic of the target joint part includes: Select the target joint part, cover the target joint part with ultrasound in a fan-shaped scanning mode, and generate an initial ultrasonic gray-scale image through the echo intensity of the ultrasound at the same time; Identify the boundary of the joint cavity based on the initial ultrasonic gray-scale image, and segment the synovium and articular cartilage through an image registration algorithm to determine the target detection area; Determine the detection stratification according to the depth of the target joint part, adjust the transmission frequency of the ultrasound based on the detection stratification, and scan the target detection area of each detection stratification through a spiral progressive scanning path to obtain the ultrasonic attenuation coefficients of each detection stratification; Fuse the ultrasonic attenuation coefficients of multiple detection stratifications in real time, generate an ultrasonic attenuation distribution map of the joint, and mark the abnormal attenuation area.

3. An interference electrotherapy device for assisting in the treatment of arthritis according to claim 2, characterized in that, The determination sub-logic of the target detection area includes: Preprocess and perform edge detection on the initial ultrasonic gray-scale image, identify the edge points of the joint cavity boundary, and perform curve fitting on the edge points to obtain the joint cavity boundary; Register the ultrasonic gray-scale image with a standard joint image through a feature-based image registration algorithm, and segment the synovium and articular cartilage from the ultrasonic gray-scale image; Determine the target detection area according to the recognition result of the joint cavity boundary and the segmentation results of the synovium and articular cartilage.

4. An interference electrotherapy device for assisting in the treatment of arthritis according to claim 3, characterized in that, The acquisition logic of the ultrasonic attenuation coefficient includes: Record the transmission frequency and transmission intensity of the ultrasound, and record the echo intensities of different detection stratifications; Perform distance correction on the echo intensities of different detection stratifications to obtain the corrected echo intensities; Calculate the ultrasonic attenuation coefficients of different detection stratifications based on the transmission intensity of the ultrasound, the corrected echo intensities, and the propagation distances of different detection stratifications.

5. An interference electrotherapy device for assisting in the treatment of arthritis according to claim 4, characterized in that, The determination logic of the inflammation location, inflammation area and inflammation degree includes: Receive the ultrasonic attenuation distribution map of the joint, and preliminarily screen out the abnormal attenuation area through threshold segmentation; Connect adjacent abnormal attenuation areas through morphological operations to form the contour of the inflammation area; Calculate the center coordinates of the inflammation area through the centroid algorithm and mark them as the inflammation location; Count the total number of pixel points in the inflammation area to obtain the inflammation area; Judge the inflammation degree based on the mean value of the ultrasonic attenuation coefficients in the inflammation area.

6. An interference current device for assisting in the treatment of arthritis according to claim 5, wherein, The generation logic of the interference electric parameters includes: The interference electric parameters include the amplitude, frequency and waveform of the interference electric. Generate the amplitude of the interference electric according to the inflammation degree and inflammation area; Judge the detection stratification where the inflammation area is located to dynamically adjust the frequency of the interference electric and determine the waveform of the interference electric. Update the ultrasonic attenuation coefficient according to the interference current parameters acting on the inflammation location, and adjust the amplitude of the interference current according to the decrease rate of the ultrasonic attenuation coefficient.

7. An interference electrotherapy device for adjuvant treatment of arthritis according to claim 6, characterized in that, The sub-logic for adjusting the amplitude of the interference current includes: Calculate the adjusted amplitude of the interference current based on the decrease rate of the ultrasonic attenuation coefficient; Apply the adjusted amplitude of the interference current to the interference current for directional output to the inflammation location; Continuously monitor the decrease rate of the ultrasonic attenuation coefficient and the amplitude of the interference current to trigger warning processing.

8. An interference current device for assisting in the treatment of arthritis according to claim 7, characterized in that, The logic for the directional output of the interference current includes: Determine the electrode combination layout according to the inflammation location and continuously monitor the tissue impedance when the electrode contacts the skin; Calculate the phase difference between the electrode combinations based on the generated interference current parameters and the electrode combination layout; Based on the phase difference between the electrode combinations, form an electric field distribution in space for the interference current to focus and output directionally to the inflammation location; During the directional output of the interference current, continuously monitor the change data of the tissue impedance and the ultrasonic attenuation coefficient to determine whether to dynamically adjust the phase difference between the electrode combinations and the interference current parameters.

9. An interference electrotherapy device for assisting in the treatment of arthritis according to claim 8, characterized in that, The sub-logic for adjusting the phase difference between the electrode combinations includes: Judge the phase delay caused by the tissue impedance to determine the phase compensation value; Recalculate the phase difference between the electrode combinations according to the phase compensation value.

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