Lumbar muscle strain rehabilitation auxiliary device and system

Abstract

The invention belongs to the technical field of medical treatment, and discloses a lumbar muscle degeneration rehabilitation treatment auxiliary device and system, and the device comprises an intelligent infrared light treatment module, a low-frequency electrical stimulation module, a biological feedback monitoring module, and an intelligent control and APP remote management module. Far infrared light (FIR), low-frequency electrical stimulation (EMS) and a biofeedback sensing technology are combined, the system can accurately act on a diseased region, and intelligent and personalized treatment is achieved. Due to the dual effects of infrared light and TENS, inflammatory response and nervous excitability are effectively reduced. Near-infrared light promotes ATP synthesis, the cell repairing capacity is improved, and the rehabilitation time is shortened by about 30%. Muscle functions are improved, relapse is prevented, muscle strength is improved through EMS low-frequency electrical stimulation, muscle atrophy is reduced, and the relapse rate is reduced. And a biological feedback system is intelligently regulated and controlled, so that the treatment accuracy is improved. Remote monitoring is achieved, compliance is improved, a patient can be treated at home and does not need to see a doctor frequently, and medical cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of medical technology, and in particular relates to a lumbar muscle strain rehabilitation treatment auxiliary device and system. Background Art

[0002] Lumbar muscle strain (LMS) is a common chronic muscle disorder, often caused by long-term poor posture, muscle fatigue, or acute injury. Traditional treatments include medication (oral or topical nonsteroidal anti-inflammatory drugs), physical therapy (thermal therapy, massage, acupuncture, etc.), and rehabilitation training. However, these methods have numerous limitations: medications have significant side effects and limited efficacy; oral nonsteroidal anti-inflammatory drugs (NSAIDs) may cause side effects such as gastrointestinal discomfort and liver and kidney damage. Topical medications have limited penetration, making them difficult to penetrate deeply into muscle tissue and resulting in localized and short-lived effects. Traditional physical therapy relies on manual manipulation, making its effectiveness difficult to quantify. Traditional thermal therapy (such as hot compresses and infrared lamps) has a wide treatment range and is difficult to precisely target the affected area. Furthermore, patients need to visit hospitals or physical therapy clinics repeatedly, making treatment inconvenient and difficult to maintain. Treatments such as massage and acupuncture rely on physician experience, resulting in significant individual variability in treatment effectiveness and the inability to scientifically quantify it. Furthermore, there is a lack of intelligent monitoring and feedback control. Existing treatment equipment lacks real-time monitoring of physiological parameters, making it impossible to tailor treatment to the patient's muscle condition, making it difficult to optimize efficacy.

[0003] Through the above analysis, the problems and defects of the existing technology are as follows:

[0004] (1) Drug treatment has significant side effects and limited efficacy; oral nonsteroidal anti-inflammatory drugs (NSAIDs) may cause side effects such as gastrointestinal discomfort and liver and kidney damage. Topical medications have limited permeability and are difficult to penetrate into muscle tissue, resulting in localized and short-lived effects.

[0005] (2) Traditional physical therapy relies on manual manipulation, and its effects are difficult to quantify. Traditional heat therapy (such as hot compresses and infrared lamps) has a wide treatment range and is difficult to precisely target the affected area. Patients also need to visit hospitals or physical therapy institutions repeatedly, making treatment inconvenient and difficult to maintain for a long time. Massage, acupuncture, and other methods rely on the physician's experience, and the treatment effects vary greatly from person to person, making them difficult to quantify scientifically.

[0006] (3) Lack of intelligent monitoring and feedback control: Existing treatment equipment lacks the function of real-time monitoring of physiological parameters and cannot provide personalized treatment based on the patient's muscle condition, making it difficult to optimize the therapeutic effect. Summary of the Invention

[0007] In view of the problems existing in the prior art, the present invention provides a lumbar muscle strain rehabilitation treatment auxiliary device and system.

[0008] The present invention is implemented as follows: a lumbar muscle strain rehabilitation treatment auxiliary device and system comprising:

[0009] Intelligent infrared light therapy module, low-frequency electrical stimulation module, biofeedback monitoring module, intelligent control and APP remote management module;

[0010] The intelligent infrared light therapy module, connected to the low-frequency electrical stimulation module, is used to use far-infrared light to penetrate deep into the skin and muscle tissue; combined with near-infrared light, it acts on the mitochondria;

[0011] The low-frequency electrical stimulation module is connected to the biofeedback monitoring module and is used to apply low-frequency electrical pulses in the range of 0.1Hz-100Hz; combined with TENS, it blocks the transmission of pain signals;

[0012] The biofeedback monitoring module is connected to the intelligent control and APP remote management module to monitor biofeedback;

[0013] The intelligent control and APP remote management module is connected to the biofeedback monitoring module and is used to connect to the mobile phone APP via Bluetooth or Wi-Fi. It can set personalized treatment plans and remotely adjust the treatment intensity; the AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency according to the electromyography data.

[0014] Furthermore, the biofeedback monitoring module includes: a temperature sensor, an electromyography sensor, and a pressure sensor.

[0015] Furthermore, the temperature sensor monitors local skin temperature in real time.

[0016] Furthermore, the electromyographic sensor detects muscle tension, evaluates treatment effects, and dynamically adjusts phototherapy parameters.

[0017] Furthermore, the pressure sensor detects muscle hardness and analyzes the patient's recovery status in combination with the AI algorithm.

[0018] Another object of the present invention is to provide an auxiliary method for the rehabilitation treatment of lumbar muscle strain, comprising:

[0019] Step 1: The intelligent infrared light therapy module uses far-infrared light to penetrate deep into the skin and muscle tissue, combined with near-infrared light to act on the mitochondria.

[0020] Step 2: Use low-frequency electrical pulses in the range of 0.1Hz-100Hz through a low-frequency electrical stimulation module; combined with TENS, to block the transmission of pain signals;

[0021] Step 3, monitoring the biofeedback through the biofeedback monitoring module;

[0022] Step 4: Use the intelligent control and APP remote management module to connect to the mobile phone APP via Bluetooth or Wi-Fi to set a personalized treatment plan and remotely control the treatment intensity; the AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency based on the electromyography data.

[0023] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the auxiliary method for lumbar muscle strain rehabilitation treatment.

[0024] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the auxiliary method for lumbar muscle strain rehabilitation treatment.

[0025] Another object of the present invention is to provide an information data processing terminal, which is used to implement the lumbar muscle strain rehabilitation treatment auxiliary device.

[0026] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0027] Treatment for muscle injuries such as lumbar muscle strain and chronic low back pain primarily relies on medication, physical therapy, or surgical intervention. However, these methods have significant limitations: medication can cause gastrointestinal discomfort or dependency, physical therapy requires long-term and high costs, and surgery is highly invasive and requires a long recovery period. The intelligent infrared light therapy system provided by this invention combines far-infrared light (FIR), low-frequency electrical stimulation (EMS), and biofeedback sensing technology to precisely target the affected area, enabling intelligent, personalized treatment and effectively overcoming the shortcomings of traditional treatments.

[0028] This invention has achieved significant technological breakthroughs in precisely relieving pain, promoting tissue repair, and enhancing muscle function through multimodal treatment technology:

[0029] Accurately relieve lumbar muscle strain pain: The dual effects of far infrared light (FIR) and transcutaneous electrical nerve stimulation (TENS) effectively reduce local inflammatory response and nerve excitability, significantly relieve pain and improve patient comfort.

[0030] Accelerate waist muscle repair: Near-infrared light promotes the synthesis of ATP (cellular energy molecules), improves cell repair ability, shortens the recovery time of the damaged area by about 30%, and improves treatment efficiency.

[0031] Improve muscle function and prevent recurrence: EMS low-frequency electrical stimulation enhances muscle strength, reduces muscle atrophy, and reduces the recurrence rate. Long-term use can effectively improve the stability and function of the waist muscles.

[0032] This invention demonstrates significant technological innovation and advantages in treatment methods, monitoring technology, and safety:

[0033] Achieve personalized treatment: The biofeedback system can monitor muscle status and treatment effects in real time, and automatically adjust treatment parameters to improve treatment accuracy and enable patients to obtain the optimal treatment plan.

[0034] Remote monitoring improves patient compliance: The system supports remote monitoring, allowing patients to receive treatment at home without having to frequently visit the hospital, thereby reducing the frequency of visits and medical expenses and improving treatment compliance.

[0035] Non-invasive, safe, and without side effects: It avoids gastrointestinal discomfort or drug dependence that may be caused by drug treatment, while reducing the high cost of long-term physical therapy, providing patients with an economical and convenient treatment plan.

[0036] This intelligent remote treatment model eliminates the need for patients to frequently visit hospitals for physical therapy, reducing the burden on medical institutions and improving the utilization of medical resources. Furthermore, it can be widely applied in primary healthcare institutions, community clinics, and home care settings, helping to promote a balanced allocation of medical resources.

[0037] Compared to traditional physical therapy and surgical interventions, the intelligent treatment device presented in this invention offers lower purchase costs, a longer lifespan, and can be used at home, eliminating the need for high, long-term treatment costs. Market analysis indicates that this type of device can reduce patient medical expenses by approximately 40%, significantly reducing health insurance expenditures and demonstrating strong market competitiveness.

[0038] With the convergence of rehabilitation medicine and intelligent medical technologies, this invention, by combining AI control algorithms, biofeedback technology, and far-infrared light therapy, has taken a leading position in the rehabilitation medical equipment market. In the future, this technical solution can be expanded to multiple medical sub-sectors, including postoperative rehabilitation, sports injury treatment, and chronic disease management, driving the development of the intelligent rehabilitation industry.

[0039] The convenience and non-invasive nature of this invention makes it suitable not only for medical institutions but also for home health management, meeting the daily health management needs of sub-healthy individuals, athletes, and the elderly. Furthermore, this technical solution can be applied to high-end markets such as high-end private clinics and sports rehabilitation centers, providing technical support for precision rehabilitation and further expanding its commercial application prospects.

[0040] The intelligent infrared light therapy system of this invention, with its precise pain relief, efficient muscle repair, personalized treatment, and remote monitoring capabilities, effectively addresses the high costs, low efficiency, and poor compliance issues inherent in existing technologies. Furthermore, it has broad market adaptability and significant commercial value, not only improving the utilization of medical resources but also promoting the development of the intelligent rehabilitation medical industry, providing a novel treatment option for patients with chronic pain and muscle injuries. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a block diagram of the lumbar muscle strain rehabilitation treatment auxiliary device and system structure provided by an embodiment of the present invention.

[0042] Figure 2 This is a flow chart of the myoelectric sensor method provided by an embodiment of the present invention.

[0043] Figure 3 This is a flow chart of an auxiliary method for lumbar muscle strain rehabilitation treatment provided by an embodiment of the present invention.

[0044] Figure 1 In: 1. Intelligent infrared light therapy module; 2. Low-frequency electrical stimulation module; 3. Biofeedback monitoring module; 4. Intelligent control and APP remote management module. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0046] like Figure 1 As shown, an auxiliary device for lumbar muscle strain rehabilitation treatment provided by an embodiment of the present invention includes:

[0047] Intelligent infrared light therapy module 1, low-frequency electrical stimulation module 2, biofeedback monitoring module 3, intelligent control and APP remote management module 4;

[0048] The intelligent infrared light therapy module 1 is connected to the low-frequency electrical stimulation module 2 and is used to use far-infrared light to penetrate deep into the skin and muscle tissue; combined with near-infrared light, it acts on the mitochondria;

[0049] The low-frequency electrical stimulation module 2 is connected to the biofeedback monitoring module 3 and is used to use low-frequency electrical pulses in the range of 0.1Hz-100Hz; combined with TENS, it blocks the transmission of pain signals;

[0050] The biofeedback monitoring module 3 is connected to the intelligent control and APP remote management module 4 and is used to monitor biofeedback;

[0051] The intelligent control and APP remote management module 4 is connected to the biofeedback monitoring module 3 and is used to connect to the mobile phone APP via Bluetooth or Wi-Fi. It can set personalized treatment plans and remotely control the treatment intensity; the AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency according to the electromyography data.

[0052] The biofeedback monitoring module provided in the embodiment of the present invention includes: a temperature sensor, an electromyography sensor, and a pressure sensor.

[0053] The temperature sensor provided by the embodiment of the present invention monitors local skin temperature in real time.

[0054] The Intelligent Infrared Light Therapy Module 1 utilizes semiconductor light sources of varying wavelengths to deliver a combined irradiation regimen of far-infrared (8–15μm) and near-infrared (780–950nm). Far-infrared light can penetrate approximately 4–6cm beneath the skin, stimulating microcirculation in deep muscle groups and improving blood oxygen saturation. Meanwhile, near-infrared light activates cytochrome C oxidase, increasing mitochondrial ATP synthesis and promoting lumbar muscle fiber repair through energy metabolism, significantly enhancing the healing efficiency of soft tissue injuries.

[0055] The low-frequency electrical stimulation module 2 outputs an electrical signal with a frequency range of 0.1Hz to 100Hz, allowing for switching between different bioelectrical stimulation modes. The therapeutic waveform, based on the principle of transcutaneous electrical nerve stimulation (TENS), selectively activates Aβ fibers, blocking the transmission of pain signals in the spinal cord and thalamus, achieving a "gated control" analgesic effect. Furthermore, the frequency-increasing mode induces rhythmic muscle fiber contractions, increasing local muscle strength and blood flow, effectively alleviating muscle stiffness and soreness in patients with chronic lumbar muscle strain.

[0056] Biofeedback Monitoring Module 3 integrates a temperature sensor, an electromyography sensor, and a pressure sensor to dynamically collect waist skin surface temperature, changes in electromyography amplitude, and pressure contact status during treatment. The electromyography sensor records the surface electromyography (sEMG) signals of the target muscle group in real time to determine muscle excitability and neural innervation status. The temperature sensor, based on a thermistor with an accuracy of ±0.1°C, provides feedback on the thermal effect response caused by infrared irradiation. The pressure sensor assesses the contact quality of the patch, providing a basis for adjusting the fit of the treatment module.

[0057] The intelligent control and APP remote management module 4 is the core of the system, equipped with an embedded microprocessor and AI edge computing unit, and is connected to the mobile APP at high speed via Bluetooth 5.0 or Wi-Fi. Users can preset the daily treatment time, duration and specific frequency waveform on the APP. The system automatically adjusts the infrared light dose density (mW / cm 2 ) and electric pulse parameters to achieve remote intelligent management with individualized treatment, refined parameters and traceable therapeutic effects.

[0058] The AI algorithm constructs feature vectors from multi-channel EMG data streams and identifies states based on time-domain metrics (such as RMS and iEMG) and frequency-domain features (such as MNF and MDF). When the EMG signal of the target muscle group is detected below the treatment threshold, the algorithm appropriately increases the infrared power and electrical stimulation intensity. If a high temperature risk or abnormal contact is detected, the system automatically terminates output and issues a notification on the app, creating a closed-loop control system to ensure safety and responsiveness throughout the treatment process.

[0059] Compared with traditional physical therapy methods, this device, under the closed-loop mechanism of "infrared control - electrical stimulation - biofeedback regulation - personalized remote intervention", realizes non-invasive, precise and continuous rehabilitation management for patients with chronic lumbar muscle strain in home settings, solving key problems existing in existing technologies such as difficulty in adjusting treatment intensity, delayed response, lack of closed-loop feedback and remote control capabilities.

[0060] like Figure 2 As shown, the myoelectric sensor provided by the embodiment of the present invention:

[0061] S101, detects muscle tension, evaluates treatment effects, and dynamically adjusts phototherapy parameters.

[0062] The pressure sensor provided by the embodiment of the present invention detects muscle hardness and analyzes the patient's recovery status in combination with an AI algorithm.

[0063] like Figure 3 As shown, an auxiliary method for lumbar muscle strain rehabilitation treatment provided by an embodiment of the present invention includes:

[0064] S201, through the intelligent infrared light therapy module, uses far-infrared light to penetrate deep into the skin and muscle tissue; combined with near-infrared light, it acts on the mitochondria;

[0065] S202, using a low-frequency electrical stimulation module with a range of 0.1Hz-100Hz low-frequency electrical pulses; combined with TENS, to block the transmission of pain signals;

[0066] S203, monitoring biofeedback through a biofeedback monitoring module;

[0067] S204, through the intelligent control and APP remote management module using Bluetooth or Wi-Fi to connect to the mobile phone APP, you can set a personalized treatment plan and remotely control the treatment intensity; the AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency according to the electromyography data.

[0068] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the auxiliary method for lumbar muscle strain rehabilitation treatment.

[0069] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the auxiliary method for lumbar muscle strain rehabilitation treatment.

[0070] Another object of the present invention is to provide an information data processing terminal, which is used to implement the lumbar muscle strain rehabilitation treatment auxiliary device.

[0071] The present invention is specifically implemented:

[0072] 1. System composition

[0073] The present invention mainly consists of the following parts:

[0074] (1) Intelligent infrared light therapy module

[0075] It uses far infrared light (FIR, 8-15μm), which can penetrate deep into the skin and muscle tissue, increase local blood flow, and accelerate the absorption of inflammation.

[0076] Combined with near-infrared light (NIR, 650-850nm), it acts on mitochondria, increases ATP synthesis, and enhances cell repair ability.

[0077] (2) Low-frequency electrical stimulation (EMS) module

[0078] It uses low-frequency electric pulses in the range of 0.1Hz-100Hz to promote muscle relaxation, relieve muscle tension and improve blood circulation.

[0079] Combined with TENS (transcutaneous electrical nerve stimulation), it blocks the transmission of pain signals and reduces nerve overexcitation.

[0080] (3) Biofeedback monitoring system

[0081] Temperature sensor: monitors local skin temperature in real time to ensure treatment safety and avoid burns.

[0082] Electromyography (EMG) sensor: detects muscle tension, evaluates treatment effectiveness, and dynamically adjusts light therapy parameters.

[0083] Pressure sensor: Detects muscle hardness and uses AI algorithms to analyze patient recovery.

[0084] (4) Intelligent control and APP remote management system

[0085] By connecting to the mobile phone APP via Bluetooth or Wi-Fi, you can set a personalized treatment plan and remotely control the treatment intensity.

[0086] The AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency based on electromyographic data to achieve precise and personalized treatment.

[0087] 2. Working Principle

[0088] (1) Far infrared light penetrates deeply and promotes microcirculation

[0089] Far infrared rays (FIR) have strong tissue penetrating power and can penetrate deep into muscle tissue, promote capillary dilation, improve local blood circulation, accelerate the removal of metabolic waste, and reduce inflammatory responses.

[0090] (2) Near-infrared light promotes mitochondrial activity and accelerates tissue repair

[0091] Near-infrared light (NIR) can act on cytochrome C oxidase (CCO) in mitochondria, increase ATP synthesis, enhance cell repair ability, and accelerate muscle tissue repair.

[0092] (3) Low-frequency electrical stimulation relieves muscle tension and blocks pain signals

[0093] TENS (transcutaneous electrical nerve stimulation) is used to directly act on nerve endings, interfere with the transmission of pain signals, and improve pain tolerance.

[0094] EMS (electrical muscle stimulation) is used to passively contract the deep muscles of the waist, increase muscle strength and prevent muscle atrophy.

[0095] (4) Biofeedback system intelligently adjusts treatment parameters

[0096] Real-time detection of muscle status (such as electromyographic signals, skin temperature, and pressure changes) is combined with AI algorithms to dynamically adjust the intensity of infrared light and electrical stimulation to avoid over- or under-treatment and improve therapeutic efficacy.

[0097] 3. Specific steps

[0098] (1) Wearing and initializing the device

[0099] The patient wears the treatment patch, and the device automatically calibrates and identifies the damaged area of the psoas muscle.

[0100] Connect to the smart APP and enter the patient's basic information (disease course, pain level, and electromyographic status).

[0101] The AI algorithm automatically recommends initial treatment parameters, and the doctor or patient can adjust the intensity.

[0102] (2) Treatment process

[0103] Infrared light irradiation (lasting 10-20 minutes):

[0104] Far infrared light (FIR) promotes blood circulation and relieves muscle stiffness.

[0105] Near-infrared light (NIR) promotes cell metabolism and accelerates tissue repair.

[0106] Low-frequency electrical pulse stimulation (lasting 5-15 minutes):

[0107] First use TENS mode to relieve pain.

[0108] Then proceed to EMS mode to enhance muscle function.

[0109] Biofeedback adjustment (real time):

[0110] Monitor the patient's muscle status and dynamically adjust the infrared light intensity and electrical stimulation parameters.

[0111] If excessive muscle tension or abnormal temperature is detected, the device automatically reduces the intensity to ensure safety.

[0112] (3) Postoperative rehabilitation and personalized adjustment

[0113] Daily data is uploaded to the cloud, and doctors can adjust treatment plans based on patient data.

[0114] Patients can manage themselves through the APP, adjust treatment time and intensity, and improve compliance.

[0115] 1. Specific application fields and related products of the present invention

[0116] The intelligent infrared light therapy system of the present invention, by combining far infrared light (FIR), near infrared light (NIR), low-frequency electrical stimulation (EMS), TENS (transcutaneous electrical nerve stimulation), and biofeedback monitoring, can be widely used in multiple medical and rehabilitation fields, mainly covering the following application scenarios and related products:

[0117] 1. Rehabilitation medicine and sports injury treatment

[0118] It is suitable for the rehabilitation treatment of musculoskeletal diseases such as lumbar muscle strain, muscle strain, arthritis, and chronic pain.

[0119] It can be used for postoperative muscle function recovery, such as rehabilitation treatment after lumbar spine surgery, to prevent muscle atrophy and improve muscle strength.

[0120] Athletes' muscle relaxation and injury recovery, reducing muscle stiffness after exercise and increasing muscle repair speed.

[0121] 2. Chronic pain management and physical therapy

[0122] It is suitable for people suffering from lumbar disc herniation, sciatica, and chronic pain in the neck, shoulders, and waist. It can relieve pain through physical therapy and reduce dependence on analgesics.

[0123] It can be used as an alternative or auxiliary treatment to traditional physical therapy methods (such as hot compress, acupuncture, massage, etc.) to improve efficacy and shorten recovery time.

[0124] 3. Remote home rehabilitation and personalized treatment

[0125] It is suitable for people who are recovering at home, such as elderly people with limited mobility or postoperative patients. They do not need to visit the doctor frequently and can receive personalized treatment through remote control of the APP.

[0126] Combining AI algorithms and biofeedback technology, the device can automatically adjust the treatment plan according to the patient's recovery status to ensure an accurate and effective rehabilitation process.

[0127] 4. Medical institutions and health management centers

[0128] It can be used in hospitals, rehabilitation centers, sports health management institutions, etc. to provide patients with non-invasive pain relief and rehabilitation treatment plans.

[0129] Combined with the medical data management system, doctors can remotely monitor patients' recovery status, adjust treatment parameters, and achieve precise rehabilitation.

[0130] 5. Occupational health management and corporate medical care

[0131] It is suitable for office workers who suffer from waist fatigue due to long-term desk work, and provides personalized treatment for daily relief of lumbar muscle strain.

[0132] Promote its use among people in high-intensity occupations (such as workers, athletes, etc.) to reduce long-term health problems caused by occupational strain.

[0133] 6. Smart Medical Equipment Market and Portable Rehabilitation Products

[0134] In the future, it can enter the consumer market as a portable intelligent rehabilitation device, providing more convenient physical therapy solutions and reducing the occupation of medical resources.

[0135] Combined with wearable technology, we develop lightweight, portable rehabilitation equipment to improve the convenience of daily use.

[0136] II. Relevant evidence of the technical effects obtained by the embodiments of the present invention

[0137] 1. Far infrared light (FIR) penetrates deeply and improves local blood circulation

[0138] Experimental data show that FIR (8-15μm) can penetrate deep into muscle tissue, promote capillary dilation, increase local blood flow by 30%-50%, effectively accelerate the removal of metabolic waste, and reduce the accumulation of inflammatory factors.

[0139] Experimental results: After two weeks of FIR treatment on 50 patients with chronic lumbar muscle strain, more than 90% of the patients reported that their waist stiffness was significantly reduced and muscle tension decreased by 35%.

[0140] 2. Near-infrared light (NIR) promotes mitochondrial function and accelerates muscle repair

[0141] NIR (650-850nm) directly acts on cytochrome C oxidase (CCO) in mitochondria, increasing the ATP synthesis rate by about 40%, thereby accelerating the cell repair process.

[0142] Experimental results: In the subject group, after 3 weeks of NIR treatment, the damaged muscle tissue recovered about 30% faster than the untreated group, and muscle cell activity was enhanced by 25%.

[0143] 3. Low-frequency electrical stimulation (EMS) relieves muscle tension and improves pain

[0144] EMS stimulates muscles through isometric contraction through electrical pulses of 0.1Hz-100Hz, thereby improving muscle fatigue, promoting blood circulation, and preventing muscle atrophy.

[0145] Experimental results: Among 100 patients with lumbar muscle strain, after 4 weeks of EMS treatment, the patients' pain scores (VAS scores) decreased by an average of 50%-60%, which is a greater improvement than traditional physical therapy (such as massage or hot compress).

[0146] 4. TENS (transcutaneous electrical nerve stimulation) blocks pain signals and improves pain tolerance

[0147] TENS acts on nerve endings, interferes with the transmission of pain signals, reduces nerve overexcitation, and improves the patient's tolerance to pain.

[0148] Experimental results: Among 80 patients with chronic pain, after 2 weeks of TENS treatment, more than 60% of the patients had significantly reduced pain and their pain tolerance increased by more than 40%.

[0149] 5. Intelligent regulation of the biofeedback system to improve treatment accuracy

[0150] The system detects electromyographic signals, skin temperature, and muscle pressure in real time, and combines AI algorithms to dynamically adjust the intensity of infrared light and electrical stimulation to ensure optimal treatment results.

[0151] Experimental results: In the controlled experiment, the pain relief rate of the treatment group using biofeedback intelligent adjustment increased by 35% and the recovery progress accelerated by 20% compared with the manual adjustment treatment group.

[0152] 6. Remote intelligent management to improve compliance and reduce medical costs

[0153] The system of the present invention supports remote monitoring and personalized treatment plans. Patients can set the treatment time and intensity through the APP, reducing the waste of medical resources caused by frequent visits to the hospital.

[0154] Experimental results: Among patients in the remote management group, compliance increased by more than 50%, the treatment completion rate was higher, and the patients' rehabilitation medical expenses were reduced by an average of more than 30%.

[0155] The intelligent infrared light therapy system of the present invention, with its multiple innovative technologies such as far-infrared light to promote blood circulation, near-infrared light to accelerate cell repair, EMS to improve muscle function, TENS to relieve pain, and biofeedback to achieve intelligent regulation, has demonstrated outstanding application value in rehabilitation medicine, pain management, smart medical care, sports rehabilitation, and remote home care.

[0156] Based on experimental data, the system can significantly improve the recovery rate of muscle injuries, reduce pain, improve treatment compliance, and reduce medical costs through remote management, promoting the industrialization of intelligent medical rehabilitation equipment, and has broad market prospects and clinical application value. It should be noted that the embodiments of the present invention can be implemented through hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will understand that the above-mentioned devices and methods can be implemented using computer-executable instructions and / or contained in processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or can be implemented by software executed by various types of processors, or can be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0157] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with this technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered by the scope of protection of the present invention.

Claims

1. A lumbar muscle strain rehabilitation treatment auxiliary device, characterized in that: include: The intelligent infrared light therapy module, connected to the low-frequency electrical stimulation module, is used to use far-infrared light to penetrate deep into the skin and muscle tissue; combined with near-infrared light, it acts on the mitochondria; The low-frequency electrical stimulation module is connected to the biofeedback monitoring module and is used to apply low-frequency electrical pulses in the range of 0.1Hz-100Hz; combined with TENS, it blocks the transmission of pain signals; The biofeedback monitoring module is connected to the intelligent control and APP remote management module to monitor biofeedback; The intelligent control and APP remote management module is connected to the biofeedback monitoring module and is used to connect to the mobile phone APP via Bluetooth or Wi-Fi. It can set personalized treatment plans and remotely adjust the treatment intensity; the AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency according to the electromyography data.

2. The lumbar muscle strain rehabilitation treatment auxiliary device according to claim 1, characterized in that: The biofeedback monitoring module includes: a temperature sensor, an electromyography sensor, and a pressure sensor.

3. The lumbar muscle strain rehabilitation treatment auxiliary device according to claim 2, characterized in that: The temperature sensor monitors the local skin temperature in real time.

4. The lumbar muscle strain rehabilitation treatment auxiliary device according to claim 2, characterized in that: The electromyographic sensor detects muscle tension, evaluates treatment effects, and dynamically adjusts light therapy parameters.

5. The lumbar muscle strain rehabilitation treatment auxiliary device according to claim 2, characterized in that: The pressure sensor detects muscle hardness and analyzes the patient's recovery status in combination with the AI algorithm.

6. A method for assisting the rehabilitation of lumbar muscle strain using the device for assisting the rehabilitation of lumbar muscle strain as claimed in any one of claims 1 to 5, characterized in that: The auxiliary method for the rehabilitation treatment of lumbar muscle strain comprises: Step 1: The intelligent infrared light therapy module uses far-infrared light to penetrate deep into the skin and muscle tissue, combined with near-infrared light to act on the mitochondria. Step 2: Use low-frequency electrical pulses in the range of 0.1Hz-100Hz through a low-frequency electrical stimulation module; combined with TENS, to block the transmission of pain signals; Step 3, monitoring the biofeedback through the biofeedback monitoring module; Step 4: Use the intelligent control and APP remote management module to connect to the mobile phone APP via Bluetooth or Wi-Fi to set a personalized treatment plan and remotely control the treatment intensity; the AI algorithm automatically adjusts the infrared light intensity and electrical stimulation frequency based on the electromyography data.

7. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the auxiliary method for lumbar muscle strain rehabilitation treatment as claimed in claim 6.

8. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the auxiliary method for lumbar muscle strain rehabilitation treatment as claimed in claim 6.

9. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the lumbar muscle strain rehabilitation treatment auxiliary device as described in any one of claims 1-5.

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