Intelligent adjusting device for postural hypotension

Abstract

The invention discloses an intelligent adjusting device for postural hypotension, and relates to the field of blood pressure adjustment, and the device comprises a blood pressure monitoring module which is used for detecting the blood pressure of a lower limb artery area in real time to obtain real-time blood pressure data; the self-adaptive adjusting module is used for dynamically adjusting the pressure applied to the artery area of the lower limb according to the real-time blood pressure data. Through the synergistic effect of real-time monitoring and dynamic adjustment, an active and intelligent blood pressure adjustment mechanism is constructed, blood pressure changes can be automatically responded without frequent manual intervention, the timeliness and accuracy of blood pressure adjustment are improved, the falling risk caused by sudden blood pressure drop of a patient is reduced, and the patient is safer in daily activities (such as getting up and walking).

Description

Technical Field

[0001] This application relates to the field of blood pressure regulation, and in particular to an intelligent regulating device for orthostatic hypotension. Background Technology

[0002] When orthostatic hypotension occurs, the sudden drop in blood pressure caused by changes in body position (such as standing up) can trigger symptoms such as dizziness, blurred vision, and weakness. It can also make patients more prone to falls, increasing the risk of accidents such as fractures and traumatic brain injury. Long-term and repeated attacks may affect the blood supply to vital organs such as the heart and brain, leading to poor concentration and memory loss. It may also aggravate existing cardiovascular and cerebrovascular diseases, and in severe cases, it may even cause syncope, shock, and endanger life.

[0003] Currently, compression stockings are commonly used to prevent orthostatic hypotension, but compression stockings have the following drawbacks: (1) Not all patients with orthostatic hypotension are suitable for elastic stockings. People with skin damage, infection, acute venous thrombosis, or severe arterial disease (such as arterial occlusion) should not use elastic stockings. If diabetic patients have severe peripheral neuropathy, they may not be able to detect the pressure damage to the skin caused by elastic stockings in time due to dulled perception.

[0004] (2) Elastic stockings need to fit the lower limbs. Wearing them for a long time can easily cause the lower limbs to feel hot and sweaty, especially in summer or high temperature environments, which will aggravate the discomfort. Some styles are more elastic and difficult to put on and take off. The elderly or people with mobility difficulties have difficulty operating them on their own, and the compliance rate of wearing them for a long time is low.

[0005] (3) Compression stockings can only help improve the symptoms of orthostatic hypotension by compressing the veins of the lower limbs and reducing blood stasis. They cannot solve the underlying cause (such as neurological dysfunction, insufficient blood volume, etc.). For patients with severe orthostatic hypotension, it is difficult to achieve the ideal preventive effect by simply relying on compression stockings. They still need to be combined with drugs or other treatment methods.

[0006] (4) If the size of the compression stockings is not chosen properly (too tight), it may compress the arteries of the lower limbs, affect arterial blood supply, and cause numbness, pain and pale skin in the lower limbs. Wearing compression stockings that are too tight for a long time may also increase the risk of varicose veins or pressure sores in the lower limbs. Summary of the Invention

[0007] The purpose of this application is to provide an intelligent regulation device for postural hypotension, which can monitor blood pressure changes in real time and automatically respond to blood pressure changes without frequent manual intervention, thereby improving the timeliness and accuracy of blood pressure regulation.

[0008] To achieve the above objectives, this application provides the following solution: This application provides an intelligent regulation device for orthostatic hypotension, comprising: The blood pressure monitoring module is used to detect blood pressure in the arterial area of ​​the lower limbs in real time and obtain real-time blood pressure data; An adaptive adjustment module is used to dynamically adjust the pressure applied to the arterial region of the lower limbs based on the real-time blood pressure data.

[0009] In one embodiment, the blood pressure monitoring module is fitted to the arterial region of the lower limbs and avoids joint movement areas.

[0010] In one embodiment, the blood pressure monitoring module includes a flexible piezoelectric sensor and / or a photoplethysmography sensor.

[0011] In one embodiment, the adaptive adjustment module includes: a controller, an air pump, and multiple airbags; the multiple airbags are located at different positions in the lower limb arterial region; the controller is used to control the airbags to adjust the pressure of each airbag when the real-time blood pressure data meets the set pressure adjustment threshold; wherein, the pressure adjustment threshold is preset according to the user's basic information.

[0012] In one embodiment, the airbag located in the femoral artery region of the lower limb is a highly elastic airbag, the airbag located in the popliteal artery region of the lower limb is a miniature precision airbag, and the airbag located in the ankle artery region of the lower limb is a flexible airbag.

[0013] In one embodiment, the controller is further configured to predict the risk of orthostatic hypotension within a future set time period based on the real-time blood pressure data using a blood pressure trend prediction model, and to control the airbags to adjust the pressure of each airbag when there is a risk of orthostatic hypotension within the future set time period; the blood pressure trend prediction model is obtained by pre-training a long short-term memory network.

[0014] In one embodiment, the intelligent regulation device for orthostatic hypotension further includes: a motion compensation module, used to capture the motion state of the lower limbs in real time, and to use a Kalman filter algorithm to dynamically compensate for motion artifacts in the real-time blood pressure data based on the motion state of the lower limbs.

[0015] In one embodiment, the intelligent regulation device for orthostatic hypotension further includes: a data management module, used to store the real-time blood pressure data, generate a blood pressure trend chart based on the real-time blood pressure data within a set time period, mark abnormal fluctuation points, and send the blood pressure trend chart to the user terminal for display.

[0016] In one embodiment, the postural hypotension intelligent adjustment device further includes a trouser body; the blood pressure monitoring module and the adaptive adjustment module are both disposed on the trouser body; the outer layer of the trouser body is high-elastic nylon, and the inner layer is modal fabric. Phase change material microcapsules are embedded in the inner modal fabric. When the skin temperature is higher than the set maximum temperature value, heat is absorbed through the phase change material microcapsules, and when the skin temperature is lower than the set minimum temperature value, heat is released through the phase change material microcapsules to maintain the lower limb temperature.

[0017] In one embodiment, the trousers are provided with elastic adjustment components at both the cuffs and waistband.

[0018] According to the specific embodiments provided in this application, this application has the following technical effects: This application provides an intelligent adjustment device for orthostatic hypotension. The blood pressure monitoring module can detect blood pressure in the lower limb arterial area in real time, and can promptly capture sudden changes in blood pressure in scenarios such as changes in body position, providing real-time and reliable data support for subsequent pressure adjustment, thus solving the problem that orthostatic hypotension is difficult to detect in time due to rapid fluctuations in blood pressure. The adaptive adjustment module dynamically adjusts the pressure on the lower limb arterial area based on real-time blood pressure data, thereby effectively relieving or preventing discomfort symptoms such as dizziness and blurred vision caused by orthostatic hypotension. In other words, this application constructs an active and intelligent blood pressure regulation mechanism through the synergistic effect of "real-time monitoring + dynamic adjustment," reducing the risk of falls caused by sudden drops in blood pressure, making patients safer in daily activities (such as getting up and walking), while improving the convenience of participating in various activities and improving the quality of life. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of an intelligent regulation device for orthostatic hypotension according to an embodiment of this application; Figure 2 This is a schematic diagram of a mechanical adjustment mechanism on the trousers in one embodiment of this application. Detailed Implementation

[0021] 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. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] In one exemplary embodiment, such as Figure 1 As shown, a smart regulation device for postural hypotension is provided, including a blood pressure monitoring module 2 and an adaptive regulation module 3. Figure 1 The position, shape, and size of the blood pressure monitoring module 2 and the adaptive adjustment module 3 are merely examples, and this application is not limited thereto.

[0024] In another exemplary embodiment, the postural hypotension intelligent adjustment device further includes a pant body 1. The pant body 1 offers four size options: S / M / L / XL. Both the blood pressure monitoring module 2 and the adaptive adjustment module 3 are mounted on the pant body 1. Both the blood pressure monitoring module 2 and the adaptive adjustment module 3 are detachable, and the main fabric is machine washable at 30°C (the electronic module must be removed) to prevent damage to the components during washing.

[0025] The outer layer of the pants 1 is made of high-elastic cotton, which is breathable and wear-resistant. The inner layer is made of modal fabric, and phase change material microcapsules are embedded in the modal fabric. When the skin temperature is higher than the set maximum temperature value (e.g., 34°C), heat is absorbed through the phase change material microcapsules. When the skin temperature is lower than the set minimum temperature value (e.g., 32°C), heat is released through the phase change material microcapsules to maintain the lower limb temperature stable within the comfortable range of 32-34°C. The sensor area of ​​the pants 1 is fitted with medical-grade silicone to enhance comfort and sensing stability.

[0026] In a specific application example, the trousers 1 are equipped with elastic adjustment components at both the cuffs and waistband. Specifically, the elastic adjustment components are adjustable Velcro or magnetic self-adaptive elastic bands to adapt to different lower limb dimensions. In addition, the elastic adjustment components have built-in pressure sensors to detect the fit in real time. When changes in the user's body position cause a deviation in tightness exceeding 15%, a micro motor is automatically driven to adjust the tightness, ensuring that the sensor and airbag are always in the optimal working position.

[0027] Furthermore, such as Figure 2 As shown, the side of the pants 1 is also equipped with an adjustable zipper 4, which not only makes it convenient for users to put on and take off, but also allows them to adjust the tightness and position according to the size of their lower limbs, ensuring the fit between the airbag and the skin and arteries, and providing a stable basis for pressure regulation.

[0028] The pants body 1 is also equipped with a mechanical adjustment mechanism 5. This mechanism controls the opening and closing of the air passage, the direction and flow of airflow between the airbag and the air pump, thereby adjusting the inflation / deflation of the airbag. The mechanical adjustment mechanism 5 includes a knob and a transmission assembly. The knob integrates a micro gear or lead screw drive structure. The knob is connected to an air passage valve or a micro air pump via the transmission assembly. Rotating the knob precisely controls the opening and closing of the air passage, the direction and flow of airflow, thus adjusting the inflation / deflation of the airbag.

[0029] The blood pressure monitoring module 2 is used to detect blood pressure in the arterial area of ​​the lower limbs in real time and obtain real-time blood pressure data.

[0030] In one specific application example, the blood pressure monitoring module 2 includes a flexible piezoelectric sensor and / or a photoplethysmographic (PPG) sensor.

[0031] The blood pressure monitoring module 2 is fitted to the arterial area of ​​the lower limb (such as the popliteal artery or femoral artery area) and avoids joint movement areas to reduce movement interference and achieve non-invasive, continuous blood pressure monitoring.

[0032] When the blood pressure monitoring module 2 is used for the first time, the mobile application is used to perform the initial calibration through the electronic blood pressure monitor. Subsequently, the user is reminded to perform a second calibration at regular intervals (such as 30 days) to ensure that the blood pressure data error is ≤±3mmHg, which meets the medical-grade accuracy standard.

[0033] The adaptive adjustment module 3 is used to dynamically adjust the pressure applied to the arterial region of the lower limbs based on the real-time blood pressure data.

[0034] In a specific application example, the adaptive adjustment module 3 includes a controller, an air pump, and multiple airbags. The air pump is a miniature silent air pump.

[0035] Multiple airbags are located at different positions in the lower limb arterial region, for example, 2-3 independent airbags in each of the thigh and calf. Among them, the airbag located in the femoral artery region of the lower limb is a highly elastic airbag, which can achieve a wide range of pressure regulation; the airbag located in the popliteal artery region of the lower limb is a miniature precision airbag for precise pressure application; and the airbag located in the ankle artery region of the lower limb is a flexible airbag to assist blood circulation.

[0036] The controller is used to control the airbags to adjust the pressure of each airbag when the real-time blood pressure data meets the set pressure adjustment threshold. The pressure adjustment threshold is preset based on the user's basic information (such as age, weight, and underlying medical conditions). Specifically, the airbag pressure is dynamically adjusted based on real-time blood pressure data via a mobile application in preset or automatic mode, with a pressure range of 5-30 mmHg and support for fine adjustments in 0.5 mmHg increments.

[0037] Specifically, when systolic blood pressure is ≥140 mmHg or diastolic blood pressure is ≥90 mmHg, the pressure of the corresponding area's airbag is automatically reduced by 2 mmHg each time until the blood pressure returns to the normal range. When systolic blood pressure is ≤90 mmHg or diastolic blood pressure is ≤60 mmHg, the pressure reduction is paused and the current pressure is maintained, triggering an alarm. In static state, the system defaults to maintaining a low-pressure support mode (pressure 8~12 mmHg) to assist venous return.

[0038] Furthermore, the controller is also used to predict the risk of orthostatic hypotension within a future set time period based on the real-time blood pressure data using a blood pressure trend prediction model, and to control the airbags to adjust the pressure of each airbag when there is a risk of orthostatic hypotension within the future set time period. The blood pressure trend prediction model is obtained by pre-training a long short-term memory network.

[0039] Specifically, this application predicts the risk of orthostatic hypotension 5-10 minutes in advance by analyzing parameters such as the slope of blood pressure fluctuations and heart rate variability over the past 30 minutes. When the probability of hypotension is determined to exceed 60%, preventive regulation is automatically initiated to avoid symptoms.

[0040] In this application, the blood pressure monitoring module 2 can detect blood pressure in the lower limb arterial region in real time, and can promptly capture sudden changes in blood pressure in scenarios such as changes in body position, providing real-time and reliable data support for subsequent pressure regulation, thus solving the problem that orthostatic hypotension is difficult to detect in time due to rapid fluctuations in blood pressure. The adaptive adjustment module 3 dynamically adjusts the pressure on the lower limb arterial region based on real-time blood pressure data. When blood pressure drops, it increases pressure to promote centripetal blood flow in the lower limbs and help raise blood pressure. When blood pressure is within the normal range or slightly high, it adjusts the pressure appropriately to maintain smooth blood flow, thereby effectively relieving or preventing discomfort symptoms such as dizziness and blurred vision caused by orthostatic hypotension. Through the synergistic effect of "real-time monitoring + dynamic adjustment", an active and intelligent blood pressure regulation mechanism is constructed, reducing the risk of falls caused by sudden drops in blood pressure, making patients safer in daily activities (such as getting up and walking), while improving the convenience of participating in various activities and improving quality of life. By organically combining blood pressure monitoring with pressure regulation, a closed-loop intelligent system of "monitoring-analysis-regulation" is formed. It can automatically respond to changes in blood pressure without frequent manual intervention, improving the timeliness and accuracy of regulation. It reflects the intelligence and convenience of the technology and can adapt to the blood pressure management needs in different scenarios.

[0041] In another exemplary embodiment, the intelligent regulation device for orthostatic hypotension further includes an alarm module. The alarm module is used to issue an alarm when, after excluding interference from movement and changes in body position, the systolic blood pressure is continuously monitored multiple times (e.g., 3 times) and the diastolic blood pressure is ≤90 mmHg, or the diastolic blood pressure is ≤60 mmHg, or the blood pressure drops by ≥20 mmHg in a single instance.

[0042] Specifically, the alarm methods include: (1) Vibration alarm via an embedded vibration motor in the waistband; wherein the vibration motor has three adjustable vibration intensity levels. (2) Health tips such as "It is recommended to lie down immediately and replenish fluids" are pushed simultaneously via a pop-up window and ringtone reminder on the mobile application. (3) When blood pressure remains abnormal for more than or equal to 5 minutes, a text message containing blood pressure data and location is automatically sent to the preset emergency contact.

[0043] The alarm module has a three-level response system: Level 1 warning (systolic blood pressure ≤95mmHg) initiates active adjustment and pushes a reminder to the user's mobile device; Level 2 warning (systolic blood pressure ≤90mmHg or sudden drop ≥15mmHg) triggers a local audible and visual alarm and simultaneously dials the emergency contact number through the mobile application; Level 3 warning (systolic blood pressure ≤85mmHg with risk of fainting) automatically sends an emergency signal containing location information to the community medical center and activates the maximum pressure protection mode of the airbag.

[0044] In addition, the alarm module is also used to determine the user's posture based on the data collected by the triaxial accelerometer. When it detects a rapid change from a lying to a standing position, it emits rhythmic vibrations through the vibration motor to remind the user to slow down and automatically initiates preventive pressure regulation in advance, reducing the probability of orthostatic hypotension from the source.

[0045] In a specific application example, if the z-axis acceleration value remains within the range of 0.8g to 1.2g (g is the acceleration due to gravity) for 5 seconds, the user is determined to be in a supine position. If, within the following second, the z-axis acceleration value rapidly decreases from 0.8g to 1.2g to 0.2g to 0.6g, and the x-axis or y-axis acceleration value shows an instantaneous change of more than 0.3g (indicating a rapid rise in body position), it is determined to be a rapid transition from a supine to an upright position, triggering the pressure regulation process.

[0046] Upon detecting a rapid supine-to-standing rotation, the vibration motor immediately activates the alert vibration mode, vibrating continuously for 3 seconds to remind the user to slow down the rising motion through tactile feedback in the legs. 0.5 seconds after the vibration starts, the following two phases are executed: Phase 1 (0-5 seconds): A miniature air pump inflates the ring-shaped airbag, raising the pressure to a low level (20 kPa) within 3 seconds. This gently compresses the veins in the legs, slowing blood flow and preventing a sudden reduction in blood supply to the brain.

[0047] Phase 2 (5-15 seconds): Continuously monitor heart rate data. If the heart rate is stable (fluctuation ≤ 5 beats / minute), the air pump continues to inflate, raising the pressure to the medium pressure setting (35 kPa) within 5 seconds to further enhance the venous compression effect. If the heart rate increases by > 8 beats / minute (indicating a possible tendency for insufficient blood supply), the low pressure setting is maintained directly to avoid excessive pressure affecting comfort.

[0048] During pressure regulation, the heart rate sensor and blood oxygen sensor synchronously collect data every second: if blood oxygen saturation is ≥95% and heart rate fluctuation is ≤5 beats / minute, the current pressure level is maintained until the user completes the standing motion (the motion is considered complete when the z-axis acceleration is stable between 0.2g and 0.6g for more than 10 seconds, as detected by the accelerometer). If blood oxygen saturation is <95% or the heart rate suddenly increases to >10 beats / minute, the deflation valve is immediately controlled to reduce the airbag pressure by 5kPa, and monitoring continues until physiological indicators return to normal.

[0049] When the accelerometer detects that the z-axis acceleration has stabilized between 0.2g and 0.6g for more than 15 seconds, it is determined that the user has stabilized in a standing position and the standing action has completely ended. At this time, the vibration motor stops vibrating, and the control valve reduces the pressure of the annular airbag to 0kPa within 3 seconds, completing the reset.

[0050] In another exemplary embodiment, the intelligent regulation device for orthostatic hypotension further includes a motion compensation module. The motion compensation module is used to capture the lower limb movement state in real time and dynamically compensate for motion artifacts in the real-time blood pressure data using a Kalman filter algorithm based on the lower limb movement state.

[0051] In a specific application example, the motion compensation module is an accelerometer. A triaxial accelerometer captures triaxial and angular acceleration in real time, then preprocesses the triaxial and angular acceleration data. Based on the preprocessed motion data, motion state classification is achieved through feature extraction and a classification model. Subsequently, a Kalman filter algorithm is used to dynamically compensate for motion artifacts. When movements such as walking or squatting are detected, a measurement correction mechanism is automatically triggered to reduce blood pressure measurement errors during motion.

[0052] The preprocessing process includes normalization (mapping the acceleration values ​​to the [-1,1] interval to eliminate the influence of differences in motion amplitude among different users) and calculation of the synthetic acceleration vector to reflect the overall motion intensity.

[0053] The classification model is built using a lightweight decision tree algorithm. The offline training set contains the motion data of 200 users of different age groups (with ≥5000 samples for each motion type). The model achieves a classification accuracy of 96.3% and a single-frame classification time of <1ms, meeting real-time requirements.

[0054] Furthermore, motion artifacts during walking exhibit periodic fluctuations synchronized with the stride frequency, which are difficult to completely eliminate using Kalman filtering alone. Therefore, this application further incorporates adaptive notch filtering in conjunction with Kalman filtering for correction. Specifically, an infinite impulse response digital filter is used to further filter the blood pressure data after Kalman filtering, ensuring that low-frequency characteristics of the blood pressure data are not lost while suppressing interference. Motion artifacts during squatting and standing are strong transient impacts that easily cause baseline drift in the blood pressure signal. Therefore, this application further performs baseline tracking correction on the blood pressure data to suppress transient interference.

[0055] This application further sets a unified clock for each sensor. The triaxial accelerometer collects triaxial acceleration and angular acceleration data at a sampling rate of 200Hz~500Hz, and timestamps are added to each frame of data. The flexible piezoelectric sensor and / or PPG sensor synchronously collect pulse wave signals (the piezoelectric sensor outputs pressure waveform, and the photoelectric sensor outputs photoplethysmography (PPG) wave), also with timestamps added. The controller temporarily stores the two types of data through a first-in-first-out (FIFO) caching mechanism to ensure that each set of blood pressure data can be matched with the corresponding motion data at the same time.

[0056] In another exemplary embodiment, the intelligent regulation device for orthostatic hypotension further includes a data management module. The data management module stores the real-time blood pressure data, generates a blood pressure trend chart based on the real-time blood pressure data within a set time period, marks abnormal fluctuation points, and sends the blood pressure trend chart to the user terminal for display.

[0057] Specifically, the data management module supports local storage of blood pressure and pressure regulation records for the past 7 days, which are not lost in the event of a power outage. It also synchronizes nearly one year's worth of data to the cloud, supporting both local and cloud-based dual-mode transmission via WiFi and Bluetooth. The data management module generates daily / weekly / monthly blood pressure trend charts via a mobile application, marking abnormal fluctuations and supporting PDF report exports for easy sharing with healthcare professionals. The data management module uses a low-power Bluetooth 5.2 chip, supporting 7 days of use in static mode and 3 days in dynamic mode on a single charge (Type-C interface), with a standby time of ≥15 days.

[0058] In a specific application example, the data management module has Bluetooth communication capabilities, enabling real-time data synchronization between the user's mobile application and the cloud server. Simultaneously, when it detects blood pressure characteristics related to neurological disorders in the user, it automatically pushes alert information to the attending physician.

[0059] This application further employs adaptive filtering technology, using wavelet transform to separate characteristic frequency bands in real-time blood pressure data. To address the issue of vascular elasticity differences among elderly users, a vascular age adaptive algorithm is developed. Based on historical blood pressure waveforms stored in the data management module, the algorithm automatically adjusts the feature point recognition parameters, thereby improving the recognition accuracy of systolic and diastolic blood pressure.

[0060] All electronic components in this application comply with the GB 4943.1-2011 safety standard, are IP67 waterproof to prevent sweat and rain from penetrating, and all materials that come into contact with the skin have passed skin irritation tests and have no risk of causing allergies. Data transmission is encrypted using AES-256, and users can set data access permissions in the mobile application so that only the user and authorized medical personnel can view it.

[0061] In summary, this application utilizes a gradient pressure design to aid blood return from the lower limbs and reduce sudden drops in blood pressure when standing. Specifically, the pressure is highest at the ankle (typically 15-30 mmHg) and gradually decreases upwards. This physical pressure promotes venous blood return from the lower limbs to the heart, reduces blood pooling, and thus alleviates the drop in blood pressure caused by changes in body position. By reducing venous dilation in the lower limbs, it shortens the time blood remains in the legs, increases the amount of blood returning to the heart, and helps maintain blood supply to the brain when standing.

[0062] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0063] In this application, all actions to acquire signals, information, or data are carried out in compliance with the relevant data protection laws and regulations of the locality and with authorization from the owner of the relevant device.

[0064] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0065] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A body position dependent hypotension intelligent adjustment device, characterized in that, The body position hypotension intelligent adjusting device comprises: a blood pressure monitoring module for detecting blood pressure of an arterial region of a lower limb in real time to obtain real-time blood pressure data; an adaptive adjusting module for dynamically adjusting pressure applied to the arterial region of the lower limb according to the real-time blood pressure data.

2. The orthostatic hypotension smart regulation device of claim 1, wherein, The blood pressure monitoring module is attached to the arterial region of the lower limb and avoids joints.

3. The orthostatic hypotension smart regulation device of claim 1, wherein, The blood pressure monitoring module comprises a flexible piezoelectric sensor and / or a photoplethysmography sensor.

4. The orthostatic hypotension smart regulation device of claim 1, wherein, The adaptive adjusting module comprises a controller, an air pump and a plurality of air bags. The plurality of air bags are respectively located at different positions of the arterial region of the lower limb. The controller is configured to control the air bags to adjust pressure of each air bag when the real-time blood pressure data meets a set pressure adjusting threshold, wherein the pressure adjusting threshold is set according to basic information of a user in advance.

5. The orthostatic hypotension smart regulation device of claim 4, wherein, The air bag located at a femoral artery region of the lower limb is a high-elasticity air bag, the air bag located at a popliteal artery region of the lower limb is a micro-precision air bag, and the air bag located at an ankle artery region of the lower limb is a flexible air bag.

6. The orthostatic hypotension smart regulation device of claim 4, wherein, The controller is further configured to predict a risk of body position hypotension occurring in a future set period of time by using a blood pressure trend prediction model according to the real-time blood pressure data, and control the air bags to adjust pressure of each air bag when there is a risk of body position hypotension occurring in the future set period of time. The blood pressure trend prediction model is obtained by training a long short-term memory network in advance.

7. The orthostatic hypotension smart regulation device of claim 1, wherein, The body position hypotension intelligent adjusting device further comprises: a motion compensation module for capturing a motion state of the lower limb in real time and dynamically compensating motion artifacts in the real-time blood pressure data by using a Kalman filtering algorithm according to the motion state of the lower limb.

8. The orthostatic hypotension smart regulating device of claim 1, wherein, The body position hypotension intelligent adjusting device further comprises: a data management module for storing the real-time blood pressure data, generating a blood pressure trend chart according to real-time blood pressure data in a set period of time, marking abnormal fluctuation points, and sending the blood pressure trend chart to a user terminal for display.

9. The orthostatic hypotension smart regulating device of claim 1, wherein, The body position hypotension intelligent adjusting device further comprises a pair of trousers. The blood pressure monitoring module and the adaptive adjusting module are both arranged on the pair of trousers. An outer layer of the pair of trousers is made of high-elastic cotton yarn, and an inner layer is made of modal fabric. Microcapsules of phase change material are embedded in the inner layer of modal fabric. When the skin temperature is greater than a set maximum temperature value, the microcapsules of phase change material absorb heat, and when the skin temperature is less than a set minimum temperature value, the microcapsules of phase change material release heat, so as to maintain the temperature of the lower limb.

10. The orthostatic hypotension smart regulation device of claim 9, wherein, The pair of trousers is provided with elastic adjusting components at the cuffs and the waist.

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