A multi-band electromagnetic wave auxiliary method for assisting in treating hypertension

Abstract

The application discloses a kind of multi-band electromagnetic wave auxiliary methods for assisting in treating hypertension, and specifically includes the following steps: S1, healthy human biological information acquisition;S2, resonance reflection wave collection and storage;S3, treatment information extraction and processing;S4, treatment instrument debugging and parameter setting;S5, patient pretreatment and positioning;S6, personalized treatment implementation;S7, treatment process monitoring;S8, course evaluation and scheme optimization;The application relates to the technical field of electromagnetic wave therapy. The multi-band electromagnetic wave auxiliary method for assisting in treating hypertension, by using multi-band treatment wave cooperation treatment, breaks through the limitation of single waveband curative effect, and different frequency bands of treatment wave are respectively used for nerve regulation, vasodilation, endothelial function improvement and other multiple blood pressure regulation pathways, to realize systematic combined intervention, significantly improve the comprehensiveness and stability of treatment.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic wave therapy technology, specifically to a multi-band electromagnetic wave-assisted method for the adjuvant treatment of hypertension. Background Technology

[0002] Hypertension, as one of the most common chronic diseases worldwide, poses a serious threat to human health. Traditional treatments for hypertension mainly rely on drug intervention, but long-term medication can easily lead to drug resistance and side effects. In recent years, with the development of optoelectronic technology and biomedical engineering, non-drug intervention methods based on physical electromagnetic wave therapy have gradually become a research hotspot for adjunctive treatment of hypertension.

[0003] In the existing technology, various phototherapy techniques have been applied to the adjunctive treatment of hypertension and related diseases. For example, Chinese patent CN119034114A discloses a headphone-type adjunctive treatment device for hypertension, hyperlipidemia, and hyperglycemia using 650nm red light. This device irradiates the cochlea with a 650nm red LED light and combines this with electroencephalogram (EEG) monitoring to achieve personalized treatment plans [CN119034114A]. Chinese patent CN107617161B discloses a hypertension relief system, including an electrical wave generator with a set frequency control mode. This system applies single-frequency and multi-frequency electrical waves to hypertensive patients to relieve hypertension symptoms [CN107617161B]. Furthermore, Chinese patent CN116712053A provides a hypertension adjunctive treatment device that combines electromagnetic induction and foot bath therapy for adjunctive treatment [CN116712053A].

[0004] In the field of biosignal acquisition and feedback technology, Chinese patent CN111281399A discloses a multi-band physiological signal feedback system based on near-infrared radiation, which regulates the physiological activities of the brain at specific frequency bands through a method of physiological signal feedback in five frequency bands [CN111281399A]. Chinese patent CN120983008A discloses a data analysis method for a non-invasive continuous dynamic blood pressure monitor, which achieves blood pressure prediction by acquiring skin bioelectric signals, heart sound signals, and micro-motion signals, combined with a deep neural network [CN120983008A].

[0005] However, existing technologies still have the following shortcomings: First, most current waveband therapy techniques use a single frequency band for intervention, which can only target a specific blood pressure regulation pathway, resulting in limited efficacy and an inability to achieve synergistic treatment that improves neural regulation, vasodilation, and endothelial function, leading to insufficient comprehensiveness and stability of treatment. Second, current treatment technologies lack precise utilization of the body's own biological information and resonant reflection waves, making it difficult to establish a personalized treatment parameter database and achieve truly targeted treatment. Third, current technologies lack a real-time parameter adjustment mechanism based on bioelectrical feedback during treatment, making it difficult to dynamically optimize treatment effects according to the patient's real-time physiological state. Finally, long-term drug treatment for hypertension in clinical practice is prone to problems such as drug resistance and side effects, and it is difficult to simultaneously and systematically intervene in multiple blood pressure regulation pathways. Summary of the Invention

[0006] To address the technical challenges of existing phototherapy techniques, such as the reliance on single-band light waves for intervention, the lack of precise utilization of the bioelectrical information and resonant reflection waves of healthy individuals, and the tendency for long-term drug use to lead to drug resistance, this paper proposes a multi-band electromagnetic wave-assisted method for the adjunctive treatment of hypertension. This method aims to achieve the technical effects of systematic combined intervention, personalized targeted therapy, dynamic adjustment of treatment parameters, and reduction of drug side effects.

[0007] The technical solution adopted by this invention to solve its technical problem is: a multi-band electromagnetic wave-assisted method for the adjuvant treatment of hypertension, including steps such as healthy human bioelectric field information acquisition, resonant reflection wave collection and storage, treatment information extraction and processing, treatment device debugging and parameter setting, patient pretreatment and positioning, personalized treatment implementation, treatment process monitoring, treatment course evaluation and plan optimization;

[0008] The multi-band electromagnetic wave transmitting module emits multi-band electromagnetic waves covering the near-infrared band, non-visible light band, microwave, and radio frequency bands to the whole body or specific organ areas of healthy subjects.

[0009] The electromagnetic wave receiving module collects resonant reflection waves from the body of healthy subjects, and simultaneously collects the bioelectrical information of healthy subjects, storing the collected data in the data storage module.

[0010] The data processing module filters and denoises the stored data, extracts the characteristic fluctuation information of target organs related to blood pressure regulation, and establishes a standard spectral database.

[0011] Preferably, based on a standard spectral database, the characteristic fluctuation information is converted into multi-band electromagnetic wave therapy parameters, and a matching multi-band therapy spectrum is tuned. The therapy spectrum contains at least three different frequency bands, which are output simultaneously or cyclically in a preset order.

[0012] Determine the target intervention area for patients with hypertension and adjust the therapeutic wave emission probe to align with the target area;

[0013] Multi-band therapeutic waves are emitted towards the target area of ​​the patient, and the patient's bioelectric signals are collected in real time through a bioelectric feedback module to adjust the output parameters of the therapeutic waves.

[0014] Furthermore, the frequency range of the multi-band electromagnetic wave is 380nm-10μm, and the power range is 0.05-5W. The multi-band electromagnetic wave transmitting module includes multiple independently adjustable frequency band generators to realize the combined transmission of electromagnetic waves of different frequency bands.

[0015] Bioelectric information includes electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and local bioelectric signals from organs such as the heart, blood vessels, and kidneys;

[0016] The data processing module uses machine learning algorithms for feature extraction, including support vector machines and neural network algorithms, to automatically identify blood pressure regulation-related feature fluctuation signals and eliminate interference signals.

[0017] Optionally, the output mode of the multi-band therapeutic wave can be switched. In the output mode, the power distribution ratio of each band of therapeutic wave is 3:4:3. In the sequential output mode, the irradiation time of each band of therapeutic wave is the same.

[0018] The target intervention areas include organs related to blood pressure regulation and acupoints related to nerve regulation;

[0019] The bioelectric feedback module has a sampling frequency of 2.7 GHz to 3.2 GHz. When the patient's bioelectric signal deviates from the standard fluctuation database by more than 5%, the treatment wave parameters are automatically adjusted. The treatment duration is 12-24 hours each time, once a day, and a course of treatment is 2-6 weeks.

[0020] Furthermore, real-time monitoring of the patient's physiological indicators such as blood pressure, heart rate, and blood oxygen saturation is conducted, and treatment is immediately stopped if any abnormalities are detected.

[0021] The physiological parameter monitoring module is set with an early warning threshold. When the patient's systolic blood pressure exceeds 180 mmHg or diastolic blood pressure exceeds 110 mmHg, a shutdown command is immediately triggered.

[0022] After each treatment course, the patient's indicators before and after treatment are compared to optimize the next round of treatment plan. The optimization includes the frequency, power, irradiation area and treatment duration of the treatment wave, and adjustments are made based on the patient's blood pressure, bioelectrical signals and organ function indicators before and after treatment.

[0023] The beneficial effects of this invention are as follows: Compared with existing technologies, it overcomes the limitations of single-band efficacy through multi-band therapeutic wave synergistic therapy, achieving a systematic combined intervention of nerve regulation, vasodilation, and endothelial function improvement, significantly enhancing the comprehensiveness and stability of treatment; by combining healthy human bioelectric information and resonant reflection waves to construct a standard spectral database, the therapeutic waves are precisely matched with the fluctuations of the patient's internal organs, achieving personalized targeted therapy and improving the pertinence and effectiveness of treatment; by introducing bioelectric feedback and physiological parameter monitoring mechanisms, treatment parameters can be dynamically adjusted, avoiding treatment risks and improving treatment safety; it does not rely on drug treatment, effectively reducing drug side effects and drug resistance problems, and is suitable for adjunctive treatment of patients with different degrees of hypertension, especially suitable for patients who cannot tolerate drug treatment, with a wide range of applications. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] A multi-band electromagnetic wave-assisted method for the adjunctive treatment of hypertension involves collecting biological information from healthy individuals and establishing a standard spectral database, then implementing personalized multi-band therapeutic wave therapy for hypertensive patients based on this database.

[0027] S1: Healthy Human Bioinformation Collection: Healthy subjects are selected, and multi-band electromagnetic waves covering near-infrared, non-visible, and microwave bands are emitted to the whole body or specific organ areas of the healthy subjects via a multi-band electromagnetic wave emission module. The multi-band electromagnetic wave emission module includes multiple independently adjustable frequency band generators to achieve combined emission of electromagnetic waves of different frequency bands. The frequency range of the multi-band electromagnetic waves is 380nm-10μm, and the power range is 0.05W-5W. Through the independent adjustment function of the frequency band generators, the output parameters of each frequency band can be precisely controlled to ensure that the electromagnetic waves can effectively penetrate human tissue and stimulate corresponding biological responses.

[0028] S2: Resonance Reflection Wave Collection and Storage: Resonance reflection waves from healthy subjects are collected via an electromagnetic wave receiving module, simultaneously acquiring their bioelectrical information. The collected data is then stored in a data storage module. This bioelectrical information includes electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and local bioelectrical signals from the heart, blood vessels, and kidneys. The electromagnetic wave receiving module captures the reflection and scattering signals of emitted electromagnetic waves from human tissues. These reflected waves carry important information about tissue structure and functional status. ECG signals reflect the electrical activity patterns of the heart, EEG signals reflect the regulatory state of the nervous system, and local bioelectrical signals from the heart, blood vessels, and kidneys are directly related to blood pressure regulation mechanisms, providing comprehensive bioelectrical baseline data for subsequent feature extraction.

[0029] S3: Treatment Information Extraction and Processing: The data processing module filters and denoises the stored data, extracting target organ characteristic fluctuation information related to blood pressure regulation and establishing a standard spectral database. The data processing module employs machine learning algorithms for feature extraction, including support vector machines (SVMs) and neural network algorithms, to automatically identify blood pressure regulation-related characteristic fluctuation signals and eliminate interference signals. SVMs effectively distinguish blood pressure regulation-related signals from irrelevant noise by finding the optimal classification boundary, while neural network algorithms deeply mine complex feature patterns in bioelectrical signals through multi-layer nonlinear transformations. Through the synergistic effect of these two algorithms, the system can accurately identify characteristic fluctuations closely related to blood pressure regulation and establish a high-quality standard spectral database.

[0030] S4: Treatment Device Adjustment and Parameter Setting: Based on a standard spectral database, characteristic fluctuation information is converted into multi-band therapeutic wave parameters. A matching multi-band therapeutic spectrum is adjusted, with the therapeutic wave containing at least three different frequency bands, output simultaneously or cyclically in a preset order. The output mode of the multi-band therapeutic wave can be switched. In simultaneous output mode, the power distribution ratio of each frequency band is 3:4:3, while in sequential output mode, the irradiation time of each frequency band is the same. The simultaneous output mode, through the 3:4:3 power distribution ratio, ensures that the middle frequency band receives more energy, achieving effective stimulation of deep tissues, while the two outer frequency bands are responsible for the regulation of superficial and middle tissues. The sequential output mode, through equal irradiation time, ensures that each frequency band can fully exert its effect and avoids mutual interference between frequency bands.

[0031] S5: Patient Pre-treatment and Localization: Determine the target intervention area for the hypertensive patient and adjust the therapeutic wave emission probe to align with the target area. The target intervention area includes organ regions related to blood pressure regulation and acupoints related to neuroregulation. Organ regions related to blood pressure regulation mainly include organs directly involved in blood pressure regulation, such as the heart, kidneys, and blood vessels, while acupoints related to neuroregulation encompass specific acupoints related to blood pressure regulation in traditional medicine. By accurately locating these key areas, targeted therapy can be achieved, improving treatment efficacy while reducing the impact on unrelated tissues.

[0032] S6: Personalized Treatment Implementation: Multi-frequency therapeutic waves are emitted towards the patient's target area. A bioelectrical feedback module collects the patient's bioelectrical signals in real time to adjust the therapeutic wave output parameters. The bioelectrical feedback module's acquisition frequency is 2.7GHz-3.2GHz. When the patient's bioelectrical signal deviates from the standard fluctuation database by more than 5%, the therapeutic wave parameters are automatically adjusted. Treatment duration is 12-24 hours per session, once daily, for 2-6 weeks as one course of treatment. High-frequency acquisition ensures real-time monitoring of changes in the patient's physiological state, and the 5% deviation threshold ensures treatment accuracy while avoiding overly frequent parameter adjustments. The 12-24 hour treatment duration has been clinically validated, ensuring therapeutic effectiveness without causing patient fatigue. The daily frequency aligns with the body's physiological rhythms, and the 2-6 week course of treatment achieves stable blood pressure regulation.

[0033] S7: Treatment Process Monitoring: Real-time monitoring of the patient's blood pressure, heart rate, blood oxygen saturation, and other physiological indicators; treatment is immediately stopped if abnormalities are detected. The physiological parameter monitoring module has pre-set warning thresholds; when the patient's systolic blood pressure exceeds 180 mmHg or diastolic blood pressure exceeds 110 mmHg, a shutdown command is immediately triggered. The warning thresholds of 180 mmHg systolic blood pressure and 110 mmHg diastolic blood pressure are based on the clinical diagnostic criteria for hypertensive emergencies; once these levels are reached, continued treatment may pose risks. Through continuous collection of physiological parameters, the monitoring module can promptly detect abnormal changes in the patient's condition, and the automatic shutdown function ensures the safety of the treatment process.

[0034] S8: Treatment Course Assessment and Protocol Optimization: After each treatment course, patient indicators before and after treatment are compared to optimize the next round of treatment. Optimization includes treatment wave frequency, power, irradiation area, and treatment duration, adjusted based on the patient's blood pressure, bioelectrical signals, and organ function indicators before and after treatment. Analysis of blood pressure changes assesses the direct effect of treatment; comparison of bioelectrical signals reflects the degree of improvement in neural regulation; and changes in organ function indicators demonstrate the protective effect of treatment on target organs. Based on the analysis of these comprehensive indicators, the system can adjust the treatment wave frequency to optimize tissue penetration, adjust the power to control stimulation intensity, adjust the irradiation area to improve targeting, and optimize the treatment duration to balance efficacy and safety.

[0035] In a preferred embodiment, the frequency range of the multi-band electromagnetic waves is set to 380nm-10μm, and the power is controlled within the range of 0.05-5W. This parameter combination ensures sufficient penetration depth while avoiding thermal damage to tissues. In another preferred embodiment, the acquisition frequency of the bioelectric feedback module can be adjusted within the range of 2.7GHz-3.2GHz according to the patient's specific condition. For older patients or those with more severe conditions, a higher acquisition frequency can be selected to improve monitoring accuracy.

[0036] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension, characterized in that, Specifically, the following steps are included: S1. Healthy human bio-information collection: Select healthy subjects and transmit multi-band electromagnetic waves covering near-infrared band, non-visible light band, microwave and radio frequency bands to the whole body or specific organ areas of the healthy subjects through a multi-band electromagnetic wave transmission module. S2. Resonance Reflection Wave Collection and Storage: The resonance reflection waves in the body of healthy subjects are collected through the electromagnetic wave receiving module, and the bioelectrical information of healthy subjects is collected simultaneously. The collected data is stored in the data storage module. S3. Treatment Information Extraction and Processing: The data processing module filters and denoises the stored data, extracts the characteristic fluctuation information of target organs related to blood pressure regulation, and establishes a standard spectral database. S4. Treatment device debugging and parameter setting: Based on the standard spectrum database, the characteristic fluctuation information is converted into multi-band electromagnetic wave treatment parameters, and a matching multi-band treatment spectrum is debugged. The treatment spectrum contains at least 3 different frequency bands, which are output simultaneously or cyclically in a preset order. S5. Patient pretreatment and positioning: Determine the target intervention area for hypertensive patients and adjust the therapeutic wave emission probe to align with the target area; S6. Personalized treatment implementation: Multi-band treatment waves are emitted to the target area of ​​the patient, and the patient's bioelectric signals are collected in real time through the bioelectric feedback module to adjust the output parameters of the treatment waves; S7. Monitoring during treatment: Real-time monitoring of the patient's physiological indicators such as blood pressure, heart rate, and blood oxygen saturation; treatment shall be stopped immediately if any abnormality is detected. S8. Treatment Course Assessment and Plan Optimization: After each treatment course, compare the patient's indicators before and after treatment to optimize the next round of treatment plan.

2. The multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: The frequency range of the multi-band electromagnetic wave in step S1 is 380nm-10μm, and the power range is 0.05W-5W. The multi-band electromagnetic wave transmitting module includes multiple independently adjustable frequency band generators to realize the combined transmission of electromagnetic waves of different frequency bands.

3. The multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: The bioelectrical information of the human body in step S2 includes electrocardiogram (ECG) signals, electroencephalogram (EEG) signals, and local bioelectrical signals of the heart, blood vessels, and kidneys.

4. The multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: In step S3, the data processing module uses machine learning algorithms to extract features, including support vector machines and neural network algorithms, to automatically identify blood pressure regulation-related feature fluctuation signals and remove interference signals.

5. A multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: In step S4, the output mode of the multi-band therapeutic wave can be switched. At the same time, the power distribution ratio of each band therapeutic wave in the output mode is 3:4:3, and the irradiation time of each band therapeutic wave is the same in the sequential output mode.

6. The multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: The target intervention area in step S5 includes the organ area related to blood pressure regulation and the acupoints related to nerve regulation.

7. A multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: In step S6, the bioelectric feedback module has a sampling frequency of 2.7 GHz to 3.2 GHz. When the patient's bioelectric signal deviates from the standard fluctuation database by more than 5%, the treatment wave parameters are automatically adjusted. The treatment duration is 12-24 hours each time, once a day, and 2-6 weeks of continuous treatment constitutes one course of treatment.

8. A multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: In step S7, the physiological parameter monitoring module sets an early warning threshold. When the patient's systolic blood pressure exceeds 180 mmHg or diastolic blood pressure exceeds 110 mmHg, a shutdown command is immediately triggered.

9. A multi-band electromagnetic wave-assisted method for adjuvant treatment of hypertension according to claim 1, characterized in that: The optimization in step S8 includes the frequency, power, irradiation area, and treatment duration of the therapeutic wave, which are adjusted based on the patient's blood pressure, bioelectrical signals, and organ function indicators before and after treatment.

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