Wearable light therapy device

Abstract

The application provides a wearable light therapy device. The device comprises a base band, a plurality of light emitting elements arranged on the base band, and a controller. The controller is configured to determine a target treatment mode for the patient, determine a plurality of adjustment parameters of a first light emitting element group according to the target treatment mode, and control the plurality of light emitting elements to treat the target part of the patient. The target treatment mode is one of a plurality of treatment modes of the light therapy device for treating a target disease. The first light emitting element group is any one of a plurality of light emitting element groups formed by the plurality of light emitting elements, and the plurality of light emitting element groups correspond to a plurality of sub-parts of the target part. The application can select an appropriate target treatment mode according to the patient's symptoms, and achieve symptomatic treatment and improve treatment effect.

Description

Technical Field

[0001] This application relates to the field of medical device technology, and in particular to a wearable phototherapy device. Background Technology

[0002] Photobiological therapy utilizes different spectra of light generated by lasers, light-emitting diodes (LEDs), etc., to treat diseases. It can relieve pain and joint stiffness, promote cell regeneration and ligament repair, and promote the recovery of bodily functions. Photobiological therapy is also a commonly used physical therapy for knee osteoarthritis. However, wearable LED devices currently used to treat knee osteoarthritis have the problem of not being able to meet the individual needs of patients and having unsatisfactory treatment effects. Summary of the Invention

[0003] This application provides a wearable light therapy device that helps to adapt to the individualized needs of patients and improve treatment outcomes. The various aspects involved in this application are described below.

[0004] In a first aspect, this application provides a wearable phototherapy device, comprising: a baseband having a plurality of light-emitting elements disposed thereon, wherein the plurality of light-emitting elements are non-ionizing light sources, the baseband being wearable and applied to a target site of a patient; and a controller disposed on the baseband and connected to the plurality of light-emitting elements, the controller being configured to perform the following operations: determining a target treatment mode for the patient, wherein the target treatment mode is one of multiple treatment modes of the phototherapy device for treating a target disease, the multiple treatment modes corresponding to multiple subtypes of the target disease; determining multiple adjustment parameters of a first light-emitting element group based on the target treatment mode to determine the wavelength and / or energy density of the emitted light of the first light-emitting element group, wherein the first light-emitting element group is any one of several light-emitting element groups composed of the plurality of light-emitting elements, the several light-emitting element groups corresponding to several sub-sites of the target site; and controlling the plurality of light-emitting elements to treat the target site of the patient.

[0005] In some possible implementations, the target disease is knee osteoarthritis, and the controller includes a pre-defined knee osteoarthritis prediction model based on machine learning. The knee osteoarthritis prediction model is used to perform the following operations: acquire multiple input parameter values ​​of the patient, the multiple input parameter values ​​including at least some or all of the parameters from ultrasound detection values, visual analog scale scores, and joint function parameter values; determine the subtype of the patient's knee osteoarthritis and the target treatment mode based on the multiple input parameter values; determine a first indicator evaluation value corresponding to the target treatment mode; and determine multiple adjustment parameters of the first light-emitting element group based on the first indicator evaluation value.

[0006] In some possible implementations, a plurality of lenses are provided on the outer side of the plurality of light-emitting elements, and any one of the lenses is configured to enable the uniformity of the light emitted by the corresponding light-emitting element at a preset distance on the lens surface to reach a preset uniformity threshold.

[0007] In some possible implementations, the first light-emitting element corresponding to the first lens is located at the geometric center of the first lens, the first lens is any one of the plurality of lenses, the first lens includes a plurality of freeform surface rings connected sequentially from the inside to the outside, the plurality of freeform surface rings correspond to a plurality of curvatures, and the width of the plurality of freeform surface rings increases sequentially from the inside to the outside, and the first lens is a rotationally symmetric structure.

[0008] In some possible implementations, the plurality of freeform surface rings are configured on the surface of the first lens, and the angle between the light emitted by the first light-emitting element and the optical axis of the first light-emitting element is in the range of 0 to 84 degrees.

[0009] In some possible implementations, the preset distance is less than or equal to 5 mm, and the preset uniformity threshold is 60%.

[0010] In some possible implementations, the phototherapy device further includes: a temperature sensor disposed on the baseband for detecting the temperature of the target site of the patient during treatment; and / or a display disposed on the baseband and connected to the controller, the display being used to receive multiple input parameter values ​​from the patient and display the multiple adjustment parameters.

[0011] In some possible implementations, the target disease is any of the following: knee osteoarthritis, tendinopathy, ligament injury, skin disease, nerve injury, and the multiple subtypes are several subtypes under multiple treatment stages of the target disease.

[0012] In some possible implementations, the controller is also used to collect the patient's treatment data, which is used to update the training set of the preset knee osteoarthritis prediction model.

[0013] In some possible implementations, the light-emitting element is an LED.

[0014] In this embodiment, the wearable phototherapy device has multiple treatment modes corresponding to multiple subtypes of a target disease (such as knee osteoarthritis). Determining the target treatment mode that matches the patient's subtype facilitates targeted treatment. Based on the target treatment mode, multiple adjustment parameters are determined for each light-emitting element group to determine the wavelength and / or energy density of the emitted light from each light-emitting element group. This embodiment selects an appropriate target treatment mode based on the patient's symptoms. Because the light-emitting elements for different sub-regions of the target area use corresponding wavelengths and / or energy densities, it helps to treat the characteristics of each sub-region, improving the treatment effect. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments of this application will be briefly introduced below.

[0016] Figure 1 This is a schematic diagram of an LED device used in a hospital.

[0017] Figure 2 This is a schematic diagram of a wearable LED device.

[0018] Figure 3 This is a schematic diagram of a wearable phototherapy device provided in an embodiment of this application.

[0019] Figure 4 yes Figure 3 The diagram shows the workflow of the phototherapy device.

[0020] Figure 5 yes Figure 3 The diagram shows the structure of the lens in the phototherapy device.

[0021] Figures 6a-6b yes Figure 5 A schematic diagram of one possible implementation of the lens shown.

[0022] Figure 7 yes Figure 5 A schematic diagram of the spatial energy density distribution of the lens shown.

[0023] Figure 8 This is a schematic diagram of LED radiation testing provided in an embodiment of this application. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The same or similar reference numerals are used in the drawings to represent the same or similar modules. It should be understood that the drawings are merely illustrative, and the scope of protection of this application is not limited thereto. First, the application scenarios involved in the embodiments of this application will be introduced.

[0025] Knee osteoarthritis (KOA) is an age-related degenerative disease characterized by synovitis, cartilage damage, and osteophytes. If left untreated, it can develop into chronic and irreversible joint dysfunction, even leading to disability. Knee osteoarthritis has an extremely high prevalence, affecting over 250 million people worldwide, and is a leading cause of knee pain and disability in the elderly.

[0026] The development and progression of knee osteoarthritis (KOA) are related to factors such as acute and chronic joint injuries, age, obesity, and metabolic bone diseases. In clinical practice, knee pain, limited mobility, functional impairment, joint deformities, and even disability are common symptoms. The pathological features of KOA development include articular cartilage degeneration, osteophyte formation, subchondral bone changes, and synovial hyperplasia. Studies have shown that various cytokines, metalloproteinases, chondrocyte senescence, chondrocyte apoptosis and autophagy, and estrogen may play direct or indirect roles in the development of KOA. As a systemic joint disease, disruption of joint homeostasis is the main cause of KOA progression.

[0027] Treatment options for KOA primarily include conservative and surgical approaches. Conservative treatment mainly includes health education, weight loss, medication, and physical therapy. Physical therapy is non-invasive, economical, convenient, and has few side effects. Photo-biomodulation (PBM) is a commonly used physical therapy that utilizes different spectra of light to treat the disease and promote the recovery of bodily functions. PBM uses non-ionizing light sources such as lasers and light-emitting diodes (LEDs) to generate visible and near-infrared light for treatment. Related studies have shown that PBM therapy can relieve pain and joint stiffness, reduce knee swelling, promote ligament regeneration and repair, and improve the functional performance of KOA patients.

[0028] LEDs are complex semiconductors that convert electric current into incoherent, narrow-spectrum light, encompassing wavelengths from ultraviolet to visible and near-infrared bandwidths. This treatment method has attracted attention due to its low cost, non-invasiveness, minimal contraindications, and few adverse reactions. Since the efficacy of LED therapy for lesions and pain depends on its parameters, it is necessary to select appropriate LED parameters to achieve optimal improvement in pain-related structural changes, thereby alleviating pain.

[0029] Existing LED therapy equipment is mostly limited to hospital use, primarily for treating certain skin diseases. For example... Figure 1 As shown, these devices are relatively large and inconvenient, making them unsuitable for home use. Currently, there are also some wearable LED devices on the market, such as... Figure 2 As shown. However, these devices cannot adjust parameters such as wavelength and energy density, nor can they control treatment parameters according to the individualized needs of KOA patients at different stages of the disease. Therefore, they cannot achieve high-precision treatment and obtain ideal therapeutic effects.

[0030] Therefore, it is necessary to design a technical solution for a wearable light therapy device that can control treatment parameters according to the individual needs of patients.

[0031] Based on this, this application proposes a wearable phototherapy device. The following is in conjunction with... Figure 3 This application provides a detailed description of the wearable phototherapy device according to its embodiments. For example... Figure 3 As shown, the wearable phototherapy device 300 of this application embodiment may include: a baseband 310, a plurality of light-emitting elements 320 and a controller 340.

[0032] The baseband 310 is equipped with multiple light-emitting elements 320, which are non-ionizing light sources. The baseband 310 is used for wearable application to the patient's target area. The patient's target area corresponds to the target disease. For example, if the target disease is knee osteoarthritis, the target area is the knee joint. Similarly, if the target disease is tendinopathy, the target area is the ankle joint.

[0033] In some implementations, the baseband 310 is a flexible material that conforms well to the skin, covering all sources of pain at the target site (such as the knee joint). The baseband 310 may include a clip 311 to secure it around the patient's target site. In some embodiments, one end of the baseband 310 may be provided with self-adhesive tape, which, along with / or the clip 311, secures the baseband 310 around the patient's target site.

[0034] The light-emitting element 320 can be a laser element, LED, etc. Traditional medical lasers are classified as Category III or IV by the U.S. Food and Drug Administration (FDA), are expensive, potentially dangerous if mishandled, and subject to regulatory restrictions. According to the FDA classification, LED-based therapies are Category II, requiring approval based on similarity to existing devices rather than evidence of efficacy and safety. Therefore, LEDs have greater commercial appeal than traditional medical lasers.

[0035] The controller 340 is mounted on the baseband 310 and connected to multiple light-emitting elements 320. The controller 340 performs the following operations: determining a target treatment mode for the patient, which is one of multiple treatment modes of the phototherapy device 300 for treating a target disease, with each treatment mode corresponding to multiple subtypes of the target disease; determining multiple adjustment parameters of a first group of light-emitting elements based on the target treatment mode to determine the wavelength and / or energy density of the emitted light from the first group of light-emitting elements, where the first group of light-emitting elements is any one of several groups of light-emitting elements 320, each group corresponding to several sub-sites of the target area; and controlling the multiple light-emitting elements 320 to treat the target area of ​​the patient.

[0036] In some implementations, the target disease can be any of the following: knee osteoarthritis, tendinopathy, ligament injury, skin disease, and nerve injury. Multiple subtypes refer to multiple categories of the target disease and / or several subtypes under multiple treatment stages.

[0037] It is understood that the target treatment mode is a treatment mode suitable for the patient's symptoms, that is, the treatment mode corresponding to the subtype to which the patient belongs. For example, the target disease can be knee osteoarthritis, which has multiple subtypes. For instance, multiple subtypes of knee osteoarthritis can include synovitis, cartilage damage, and osteophytes. Different types of knee osteoarthritis symptoms should be treated with different treatment modes. By controlling the wavelength and / or energy density of multiple light-emitting elements 320 under this treatment mode, targeted treatment can be achieved, which helps to improve the treatment effect.

[0038] Different treatment stages require corresponding treatment methods. For example, different treatment modes are suitable for different stages of synovitis. In some implementations, multiple subtypes represent multiple types of knee osteoarthritis and multiple treatment stages. Subdividing multiple types and treatment stages of knee osteoarthritis into multiple subtypes helps to adopt targeted treatment modes and control the wavelength and / or energy density of multiple light-emitting elements 320 to use the corresponding treatment mode, thereby achieving good therapeutic effects.

[0039] The light-emitting element 320 can emit light of multiple wavelengths. The wavelength range can include wavelengths of visible light, infrared light, radio frequency radiation, laser light, and ultraviolet light. For example, the wavelength range of visible light is 380–780 nanometers (nm). Red light has a wavelength of 630–780 nanometers, green light has a wavelength of 495–560 nanometers, and violet light has a wavelength of 380–400 nanometers. The wavelength range of infrared light is 780 nanometers to 1 millimeter (mm), specifically divided into near-infrared (0.76–1.5 micrometers), mid-infrared (1.5–2.5 micrometers), and far-infrared (2.5–300 micrometers). For example, the light-emitting element 320 can be controlled to emit three different wavelengths of light. In some embodiments, the energy density can be controlled by the patient's treatment time, with different treatment times corresponding to different energy densities.

[0040] Photobiological modulation (PBM) can provide therapeutic effects by modulating inflammatory factors and extracellular matrix (ECM) metabolism in arthritis cells, and the target site usually includes multiple different tissue structures.

[0041] The target area can include several sub-areas, with the knee joint as an example. Anatomically, the knee joint can include joints, bones, ligaments, tendons, muscles, and the infrapatellar fat pad. These sub-areas may include, for example, the patella, lateral meniscus, medial meniscus, lateral collateral ligament, medial collateral ligament, femur, and tibia. The wavelength (or energy density) of the light-emitting element 320 corresponding to each sub-area can be the same or different. Since the sub-areas of the knee joint have different cellular and tissue structures, using the same wavelength and energy density for the light-emitting element 320 would inevitably affect the treatment effect. Therefore, during treatment, using corresponding wavelengths and / or energy densities for the light-emitting elements 320 at different sub-areas helps to adapt to the characteristics of each sub-area and improve the treatment effect.

[0042] In some implementations, multiple adjustment parameters of the first light-emitting element group can be determined based on the target treatment mode and the mapping relationship between multiple treatment modes and the light-emitting element group, thereby determining the wavelength and / or energy density of the emitted light from the first light-emitting element group.

[0043] In this embodiment, the wearable phototherapy device has multiple treatment modes corresponding to various subtypes of a target disease (such as knee osteoarthritis). Determining the target treatment mode that matches the patient's subtype facilitates targeted treatment. Multiple adjustment parameters corresponding to each light-emitting element group are determined based on the target treatment mode to determine the wavelength and / or energy density of the emitted light from each light-emitting element group. This embodiment selects an appropriate target treatment mode based on the patient's symptoms. Because the light-emitting elements for different sub-sites of the target area use corresponding wavelengths and / or energy densities, it helps to treat the characteristics of each sub-site, improving treatment effectiveness and simplifying operation, making it suitable for home use.

[0044] Knee osteoarthritis can include multiple subtypes and multiple treatment stages, making it difficult for ordinary patients to make accurate judgments, choose the appropriate treatment mode, and achieve ideal treatment results, which in turn hinders the widespread adoption of home-use products.

[0045] In some implementations, the target disease is knee osteoarthritis (KOA), and the controller 340 may include a pre-defined KOA prediction model based on machine learning. The KOA prediction model is used to perform the following operations: acquire multiple input parameter values ​​from the patient, including at least some or all of the parameters from ultrasound detection values, visual analogue scores, and joint function parameters; determine the subtype of the patient's KOA and the target treatment mode based on the multiple input parameter values; determine the first indicator evaluation value corresponding to the target treatment mode; and determine multiple adjustment parameters for the first light-emitting element group based on the first indicator evaluation value. This provides intelligent parameter adjustment and precise personalized treatment for KOA patients. By automatically determining the treatment mode matched to the patient, the system helps improve the intelligence, simplicity, and accuracy of operation, thereby improving treatment effectiveness. The visual analogue score is a score obtained based on the visual analogue scale (VAS), a method for assessing pain.

[0046] In this embodiment, patients can intelligently adjust the optimal adjustment parameters corresponding to the target treatment mode based on their personal data, thereby providing more accurate treatment for KOA patients. The wearable light therapy device 300 is small in size, intelligent in operation, and easy to use. KOA patients can use LED therapy at home without having to go to the hospital, which also saves a lot of medical expenses, thereby reducing medical costs and the social and economic burden.

[0047] The pre-defined knee osteoarthritis prediction model can be, for example, a machine learning model based on neural networks, Transformers, or other similar technologies. The first indicator is also called the KOA indicator, and its evaluation value is also called the KOA evaluation value or KOA score.

[0048] In some embodiments, the performance of the pre-defined knee osteoarthritis prediction model will depend on factors such as Spearman grading correlation coefficients used in the training set (validation set), area under the receiver operating curve (AUROC), mean accuracy, sensitivity, specificity, positive sample predictive value, and negative sample predictive value. Adjustment parameters of multiple luminescent elements 320 can be set based on the subjects' KOA assessment values ​​to achieve precise treatment.

[0049] During treatment, patients may experience a burning sensation or insufficient temperature. In some implementations, the phototherapy device 300 may also include a temperature sensor 350. The temperature sensor 350, located on the baseband 310, is used to detect the temperature of the target area (e.g., the knee joint) during treatment. The temperature sensor 350 can provide feedback on skin temperature, and the controller 340 can monitor the skin temperature to ensure safe use. For example, if the controller 340 detects that the skin temperature exceeds a preset high-temperature threshold, it will issue a first warning message or control the light-emitting element 320 to pause for a preset time (e.g., 5 minutes). If the controller 340 detects that the skin temperature is below a preset low-temperature threshold for a certain period of time, it will issue a second warning message, allowing the user to promptly identify and address the problem.

[0050] In some implementations, the phototherapy device 300 may include a display 360. The display 360 is mounted on the baseband 310 and connected to the controller 340. The display 360 receives multiple input parameter values ​​from the patient and displays multiple adjustment parameters. In some embodiments, the display 360 may also display the current target treatment mode and / or a first indicator evaluation value. The slim and lightweight display allows users to input personal data and view treatment parameters, providing convenient operation, good interactivity, and a clear and intuitive display.

[0051] In some implementations, the controller 340 is also used to collect patient treatment data, which is used to update the training set of the preset knee osteoarthritis prediction model. This helps to use the latest positive and negative samples, enrich the sample training set, and improve the accuracy and precision of the knee osteoarthritis prediction model.

[0052] Figure 4 yes Figure 3 The diagram illustrates the workflow of a phototherapy device. For example, the light-emitting element 320 can be an LED, and the target disease is knee osteoarthritis. Figure 4 As shown on the left, the main design process of the wearable light therapy device 300 is as follows:

[0053] Patients follow the recommended treatment course; recommended stimulation measures are set, using LED stimulation therapy; recommended stimulation measures can be set via smart devices. After each treatment course or each recovery stage, the patient's status is assessed, and the latest assessment value is obtained, which also serves as feedback on the efficacy; the revised latest assessment value is reported to the assessment system to update the relevant parameters in the algorithm.

[0054] like Figure 4 As shown on the right, the main workflow of the wearable light therapy device 300 may include steps S410 to S460, which are described in detail below.

[0055] It should be noted that the sequence number of each step in the embodiments of this application does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0056] In step S410, multiple input parameter values ​​of the patient are input through the input interface. These input parameter values ​​may include the patient's age, gender, ultrasound measurement values, visual analog scale (VAS) score, joint function parameters, and other parameters. These input parameter values ​​can be manually selected, which helps improve the convenience and simplicity of the operation.

[0057] In step S420, the sensor performs measurements. Some of the multiple input parameters can be obtained through sensor measurement. For example, the sensor detects ultrasonic values.

[0058] In step S430, classification is performed. The patient's condition is assessed to determine the subtype of knee osteoarthritis.

[0059] In step S440, standardization is performed. A first indicator evaluation value, such as the KOA score, is determined by normalizing the variables using a normalization function. Knee osteoarthritis can include multiple types, such as synovitis and meniscus injury. Each of these types includes multiple treatment stages, and consequently, multiple subtypes of knee osteoarthritis correspond to multiple treatment modalities. Using the standardized first indicator evaluation value for multiple treatment modalities helps simplify the mapping relationship between LED adjustment parameters and the multiple subtypes of knee osteoarthritis, and simplifies the setting of LED adjustment parameters.

[0060] In step S450, the treatment effect is evaluated and feedback from the patient is obtained.

[0061] In step S460, presentation and recommendations are made. Treatment recommendations and scoring results are generated. New treatment recommendations can be generated based on the updated assessment values.

[0062] In this embodiment, the subject can input personal data into the phototherapy device, and the intelligent system will assess the patient's KOA score (i.e., the first indicator assessment value). After assessing the patient's KOA score, suggestions for stimulation therapy and expected results will be provided. Based on the recommendations, the patient will be treated using the phototherapy device 300, and the system can estimate the treatment results based on actual usage. Then, the assessment model will be adjusted based on a comparison between the actual treatment results and the expected treatment results. This intelligent system can adjust the parameter settings of the assessment algorithm based on the patient's feedback on the test results.

[0063] The light-emitting element 320 can be an LED, which is mostly based on point light sources. If the light distribution is not redistributed, it will cause localized thermal shock and even pose a risk of burns. In addition, it will prevent certain parts of the body from being illuminated, thereby reducing the effectiveness of treatment.

[0064] In some implementations, multiple lenses 330 are correspondingly disposed on the outer sides of the multiple light-emitting elements 320. Each lens 330 is configured to enable the uniformity of the light emitted by the corresponding light-emitting element 320 at a preset distance from the lens surface to reach a preset uniformity threshold. Wherein, uniformity U = E min / E av E min For minimum irradiance, E av To achieve average irradiance, a lens 330 is placed outside the light-emitting element 320. This helps improve the uniformity of light and avoids localized thermal shock and areas that are not illuminated.

[0065] In some specific implementations, the preset distance can be less than or equal to 5mm, and the preset uniformity threshold is 60%. Since the baseband 310 is close to the skin, a preset distance of less than or equal to 5mm helps to improve the uniformity of light at close range, that is, the uniformity of light illumination at the patient's skin, thereby improving the treatment effect.

[0066] In some implementations, the first light-emitting element corresponding to the first lens is located at the geometric center of the first lens, and the first lens is any one of multiple lenses 330. The first lens includes multiple freeform surface rings connected sequentially from the inside to the outside. The multiple freeform surface rings correspond to multiple curvatures, and the width of the multiple freeform surface rings increases sequentially from the inside to the outside. The first lens has a rotationally symmetric structure. Freeform surfaces are widely used in LED lighting to produce specific shapes or lighting distributions. By constructing the lens 330 with multiple freeform surface rings, it helps to improve the uniformity of light from the light-emitting element at close range, avoid localized thermal shock and the phenomenon of some areas not being illuminated, and improve the therapeutic effect.

[0067] In some implementations, multiple freeform surface rings are configured on the surface of the first lens, and the angle between the light emitted by the first light-emitting element and the optical axis of the first light-emitting element is in the range of 0 to 84 degrees.

[0068] The wearable phototherapy device of this application embodiment will be further described below with reference to some possible implementations of this application.

[0069] In some specific implementations, to obtain a lens 330 based on multiple freeform surface rings with uniform illumination, firstly, the irradiance generated by the freeform surface can be obtained by combining basic calculations of radiometry and back-ray ray tracing. Then, the local freeform surface that contributes to the irradiance at a specific checkpoint on the irradiated target is determined using a back-ray ray tracing method, and the irradiance at that target point is changed by adjusting the curvature distribution of the corresponding local surface. Finally, an envelope function is used to modify the surface to achieve smoothness.

[0070] Figure 5 yes Figure 3 The diagram shows the structure of the lens in the phototherapy device. Figure 5 This is also a schematic diagram of a planar lens with a novel multi-freeform surface ring provided in an embodiment of this application. Taking the light-emitting element 320 as an LED as an example, as... Figure 5 As shown, lens 330 is a rotationally symmetric protective silicon plate on the outside of LED, used to protect and shape the output light of LED. The light-emitting element 320 is located at the geometric center of lens 330, and a heat sink 321 may be provided at the bottom of the light-emitting element 320.

[0071] Lens 330 is designed based on the principle of extended light source, such as... Figure 6a As shown, lens 330 can be composed of multiple freeform surface rings connected sequentially from the inside to the outside. These freeform surface rings may include a first ring 331, a second ring 332, a third ring 333, and a fourth ring 334. Light emitted from the right end of the LED diode is refracted at an angle of 0 to 30 degrees by the ring at the center of lens 330 (i.e., the first ring 331); light emitted from the center of the LED diode is refracted at an angle of 8 to 40 degrees; and light emitted from the left end of the diode is refracted at an angle of 20 to 65 degrees. The multiple freeform surface rings correspond to multiple curvatures, and the width of the multiple freeform surface rings increases sequentially from the inside to the outside. Lens 330 has a rotationally symmetric structure.

[0072] The light distribution of the entire lens is as follows Figure 6bAs shown, light emitted from the center of the LED diode is refracted by the first ring 331, the second ring 332, and the third ring 333 to present a divergent light distribution with a preferred angle range of 8 to 84 degrees; while the fourth ring 334 presents a converging light distribution with a preferred angle range of 70 to 84 degrees. The lens 330, constructed from multiple freeform rings, enables the uniformity of light emitted by the corresponding light-emitting element 320 at a predetermined distance from the lens surface to reach a predetermined uniformity threshold. For example, the uniformity of light emitted by the corresponding light-emitting element 320 at 4 mm from the lens surface can reach a predetermined uniformity threshold (i.e., 60%), which helps improve the near-field uniformity of the light emitted by the light-emitting element. The LED delivers Gaussian-distributed light directly to the affected area upon contact with the skin, improving the treatment effect. Figure 7 The simulation results of ray-traced near-infrared LEDs are shown, and it can be seen that the illumination uniformity of the lens surface is good.

[0073] In the process of proposing the embodiments of this application, the applicant conducted several fundamental studies to determine LED modulation parameters suitable for the target disease. These studies investigated the wavelength and energy density of phototherapy LEDs and their relationship with inflammatory responses in synovial cells, and studied the role of wavelength and energy density of phototherapy LEDs in promoting extracellular matrix (ECM) formation in chondrocytes to determine optimal LED modulation parameters. For example, in cell experiments, the applicant used LEDs with four wavelengths and six energy densities to treat chondrocytes and synovial cells. Photobiological modulation (PBM) using LEDs may provide therapeutic benefits by modulating inflammatory factors and extracellular matrix (ECM) metabolism in osteoarthritis cells. Mice with KOA were treated based on the optimal LED modulation parameters discovered in cell experiments. These experimental results provide a reference for the application of LED devices in KOA patients.

[0074] Figure 8 This is a schematic diagram of an LED radiation test provided in an embodiment of this application. Figure 8 As shown, the basic experimental method was as follows: synovial cells were extracted from the synovium of the knee joint of Sprague-Dawley rats and from the RCJ3.1C5.18 chondrocyte cell line. An inflammatory response was induced using recombinant rat tumor necrosis factor-α (TNF-α). Different wavelengths (625nm, 810nm, 940nm, 1050nm) and different energy densities (13, 26, 39, 52, 65, 78 J / cm²) were applied to the cells. 2 The light maintained a constant power density of 44 mW / cm². 2Real-time quantitative polymerase chain reaction (PCR) analysis was performed to measure the levels of messenger ribonucleic acid (mRNA) of inflammatory and chondrocyte extracellular matrix factors.

[0075] The study of the embodiments of this application shows that 39J / cm 2 Light-emitting diodes (LEDs) with a wavelength of 810 nm showed a more effective anti-inflammatory effect on synovial cells. On the other hand, 52 J / cm²... 2 LEDs with a wavelength of 940 nm showed a more effective protective effect on chondrocytes by promoting healthier extracellular matrix (ECM) metabolism. These findings provide a scientific basis and precise LED tuning parameters for optical diode phototherapy (LED-PBM) to treat knee osteoarthritis (KOA) by modulating inflammation and chondrocyte degeneration.

[0076] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above method embodiments of this application can be implemented by a computer program instructing related hardware. This computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a photographic device / electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, a floppy disk, and optical data storage devices. The computer-readable storage medium mentioned in this application can be a non-volatile storage medium; in other words, it can be a non-transient storage medium.

[0077] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0078] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0079] In the embodiments provided in this application, it should be understood that the disclosed apparatus / device and method can be implemented in other ways. For example, the apparatus / device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0080] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0081] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0082] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0083] Furthermore, in the description of this application and the appended claims, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A wearable phototherapy device, characterized in that, include: A baseband, on which multiple light-emitting elements are disposed, wherein the multiple light-emitting elements are non-ionizing light sources, and the baseband is used for wearable application to the target site of the patient; A controller, disposed on the baseband and connected to the plurality of light-emitting elements, is used to perform the following operations: Determine the target treatment mode for the patient, wherein the target treatment mode is one of multiple treatment modes of the phototherapy device for treating the target disease, and the multiple treatment modes correspond to multiple subtypes of the target disease; According to the target treatment mode, multiple adjustment parameters of the first light-emitting element group are determined to determine the wavelength and / or energy density of the emitted light of the first light-emitting element group. The first light-emitting element group is any one of several light-emitting element groups composed of the multiple light-emitting elements, and the several light-emitting element groups correspond to several sub-regions of the target site. The multiple light-emitting elements are controlled to treat the target area of ​​the patient.

2. The phototherapy device according to claim 1, characterized in that, The target disease is knee osteoarthritis, and the controller includes a pre-set knee osteoarthritis prediction model based on machine learning. The knee osteoarthritis prediction model is used to perform the following operations: Acquire multiple input parameter values ​​for the patient, which include at least some or all of the parameters from ultrasound detection values, visual analog scale scores, and joint function parameter values; Based on the multiple input parameter values, the subtype of knee osteoarthritis of the patient and the target treatment mode are determined; Determine the evaluation value of the first indicator corresponding to the target treatment mode; Based on the evaluation value of the first indicator, a number of adjustment parameters for the first light-emitting element group are determined.

3. The phototherapy device according to claim 1, characterized in that, Multiple lenses are disposed on the outer side of the plurality of light-emitting elements, and each of the lenses is configured to enable the uniformity of the light emitted by the corresponding light-emitting element at a preset distance on the lens surface to reach a preset uniformity threshold.

4. The phototherapy device according to claim 3, characterized in that, The first light-emitting element corresponding to the first lens is located at the geometric center of the first lens. The first lens is any one of the plurality of lenses. The first lens includes a plurality of freeform surface rings connected sequentially from the inside to the outside. The plurality of freeform surface rings correspond to a plurality of curvatures, and the width of the plurality of freeform surface rings increases sequentially from the inside to the outside. The first lens has a rotationally symmetric structure.

5. The phototherapy device according to claim 4, characterized in that, The plurality of freeform surface rings are configured on the surface of the first lens, and the angle between the light emitted by the first light-emitting element and the optical axis of the first light-emitting element is in the range of 0 to 84 degrees.

6. The phototherapy device according to claim 3, characterized in that, The preset distance is less than or equal to 5mm, and the preset uniformity threshold is 60%.

7. The phototherapy device according to claim 1, characterized in that, Also includes: A temperature sensor, mounted on the baseband, is used to detect the temperature of the target area of ​​the patient during treatment; And / or, A display, mounted on the baseband and connected to the controller, is used to receive multiple input parameter values ​​from the patient and display the multiple adjustment parameters.

8. The phototherapy device according to claim 1, characterized in that, The target disease is any one of the following: knee osteoarthritis, tendinopathy, ligament injury, skin disease, nerve injury, and the multiple subtypes are several subtypes under multiple treatment stages of the target disease.

9. The phototherapy device according to claim 2, characterized in that, The controller is also used to collect the patient's treatment data, which is used to update the training set of the preset knee osteoarthritis prediction model.

10. The phototherapy device according to any one of claims 1-9, characterized in that, The light-emitting element is an LED.

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