Arm cylinder type folding blood pressure instrument with high measuring efficiency

Abstract

The invention relates to the field of blood pressure instruments, in particular to an arm cylinder type folding blood pressure instrument with high measuring efficiency, which comprises an electric driving system, an arm cylinder is controlled by a stepping motor and an electric actuating mechanism to unfold and contract through the stepping motor and the electric actuating mechanism, and the stepping motor adjusts the motion position of the arm cylinder according to a feedback signal of a sensor so as to drive the arm cylinder to rotate. The rapid and stable unfolding is ensured; the pressure sensing system comprises a pressure sensor and a position sensor and is used for detecting the contact pressure between the arm cylinder and a human body in real time and automatically adjusting the size and the clinging degree of the arm cylinder according to the arm circumference of a measured object; the automatic in-place algorithm module calculates and adjusts the unfolding and attaching positions of the arm cylinder according to data input by the pressure sensing system, and it is ensured that the contact position of equipment and a user is stable and accurate through the dynamic adjustment process. The intelligent feedback adjusting module feeds back and adjusts the unfolding process in real time through sensor data, and it is ensured that the system can adapt to the body types of different users and different sizes and shapes of arms.

Description

Technical Field

[0001] The present invention relates to the field of blood pressure monitors, and particularly to an arm-tube type folding blood pressure monitor with high measurement efficiency. Background Art

[0002] In existing arm-tube type folding blood pressure monitors, although there has been some application of automation technology, there are still some deficiencies and technical limitations overall. Traditional blood pressure measurement methods mainly rely on manual operation or semi-automation. Usually, it is necessary to manually adjust the position of the device and the pressure of the airbag to adapt to the arm circumference and body type of different users. However, this method is not only cumbersome to operate, but also easily leads to measurement errors and uncomfortable experiences. Therefore, improving and enhancing the automation level of blood pressure monitors and optimizing the adaptability and measurement efficiency of the devices have become the direction of current technological development.

[0003] The working process of traditional arm-tube type blood pressure monitors usually includes the following steps:

[0004] The user needs to manually adjust the size of the arm tube to fit their own arm circumference.

[0005] When placing the arm tube, the user or operator needs to manually determine the optimal measurement position to ensure that the device is in close contact with the user's arm.

[0006] During the blood pressure measurement process, the gas is usually released manually or semi-automatically to adjust the airbag pressure.

[0007] The measurement result depends on the contact pressure and comfort between the device and the skin, which is often affected by human factors, resulting in unstable measurement results.

[0008] The existing technology has the following defects:

[0009] Much manual intervention and low measurement efficiency: Most existing blood pressure monitors rely on manual intervention, especially in aspects such as the deployment, positioning, and air pressure adjustment of the measurement device. The user needs to adjust the size and position of the arm tube by themselves, which is cumbersome to operate and prone to errors. Manually adjusting the airbag pressure also increases the measurement time, resulting in low measurement efficiency.

[0010] Poor device adaptability and inaccurate measurement: In the existing technology, the adaptability problem of the device is mainly reflected in its inability to automatically adapt to the arm circumferences and body types of different users. During the blood pressure measurement process, the user often needs to repeatedly adjust the position and air pressure of the arm tube to ensure that the device is close to the skin, which not only takes time, but may also affect the accuracy of the measurement result due to inaccurate manual adjustment. Users of different body types often require different operation methods, resulting in the device being unable to fully meet the needs of various users.

[0011] Poor comfort and unpleasant measurement experience: Due to the lack of precise control in the adjustment of tightness in existing devices, many devices may cause discomfort during measurement. The inflation volume of the airbag or the tightness of the arm cylinder cannot be adjusted in real time according to the specific situation of the user, resulting in the device being too tight or too loose during blood pressure measurement, causing discomfort. This not only reduces the comfort of measurement but may also affect the accuracy and stability of measurement.

[0012] Large fluctuations and poor stability in measurement results: Due to the inability of the device to achieve precise automatic adjustment, the measurement results of existing blood pressure monitors are easily affected by various external factors. For example, too much or too little contact pressure between the device and the skin during measurement will cause fluctuations in the measurement results. This instability not only affects the reliability of blood pressure measurement but also brings unnecessary repeated measurements to users. Summary of the Invention

[0013] The purpose of the present invention is to provide an arm cylinder type folding blood pressure monitor with high measurement efficiency to solve the technical problems mentioned in the above background technology.

[0014] Based on the above ideas, the present invention provides the following technical solutions:

[0015] An arm cylinder type folding blood pressure monitor with high measurement efficiency, comprising:

[0016] An electric drive system, a pressure sensing system, an automatic positioning algorithm module, and an intelligent feedback adjustment module

[0017] The electric drive system includes a stepper motor and an electric actuator. The expansion and contraction of the arm cylinder are controlled by the stepper motor and the electric actuator. The stepper motor adjusts the movement position of the arm cylinder according to the feedback signal of the sensor to ensure its rapid and stable expansion;

[0018] The pressure sensing system includes a pressure sensor and a position sensor, which real-time detect the contact pressure between the arm cylinder and the human body, and automatically adjust the size and tightness of the arm cylinder according to the arm circumference of the measurement object;

[0019] The automatic positioning algorithm module calculates and adjusts the expansion and tight position of the arm cylinder according to the data input by the pressure sensing system, and ensures the stable and accurate contact position between the device and the user through a dynamic adjustment process;

[0020] The intelligent feedback adjustment module uses the sensor data to perform real-time feedback and adjustment on the expansion process to ensure that the system can adapt to the body shapes of different users, as well as the different sizes and shapes of the arms.

[0021] An electric drive system, a pressure sensing system, an automatic positioning algorithm module, and an intelligent feedback adjustment module are adopted. The comprehensive application of these modules greatly simplifies the blood pressure measurement process and improves the measurement efficiency. First, the electric drive system controls the expansion and contraction of the arm cylinder through a stepper motor and an electric actuator, ensuring its rapid and stable expansion, and reducing the cumbersome manual operation. Second, the pressure sensing system can monitor the contact pressure between the arm cylinder and the human body in real time, automatically adjust the size and tightness of the arm cylinder, and reduce the errors and inconveniences caused by manual adjustment. In addition, the automatic positioning algorithm and the intelligent feedback adjustment module ensure that the device adapts to the body shapes and arm shapes of different users through real-time data feedback, thereby improving the measurement accuracy and comfort, reducing the time waste during the measurement process, and enhancing the user experience.

[0022] Preferably,

[0023] The automatic positioning algorithm module adjusts the position and size of the arm cylinder by analyzing the sensor data, and its steps include:

[0024] A1. Collect real-time data through pressure sensors and position sensors, and denoise and filter the real-time data;

[0025] A2. Calculate the optimal expansion position of the arm cylinder according to the collected arm circumference data, and dynamically adjust the expansion speed and strength by matching the input data with a preset model;

[0026] A3. Control the expansion angle and amplitude of the arm cylinder through a stepper motor to ensure that the arm cylinder can accurately reach the target position and meet the comfort requirements of the user.

[0027] By describing in detail the working process of the automatic positioning algorithm module, the expansion and positioning process of the arm cylinder is further optimized. By collecting pressure and position sensor data in real time and denoising and filtering the data, the automatic positioning algorithm module can accurately calculate the optimal expansion position of the arm cylinder. This process not only reduces manual intervention and avoids human errors, but also ensures the stability of the device and the comfort of the user during the measurement process by dynamically adjusting the expansion speed and strength. In addition, the stepper motor control algorithm accurately adjusts the expansion angle and amplitude of the arm cylinder to ensure that each expansion can reach the most suitable measurement position. This technology effectively improves the efficiency and accuracy of blood pressure measurement.

[0028] Preferably,

[0029] Based on the real-time sensor data, determine the expansion position of the arm cylinder by dynamically adjusting parameters, and its implementation formula is as follows:

[0030] Set the target position as P target , and the current position detected by the sensor is P current；

[0031] Calculate the required adjustment amount:

[0032] ΔP = P target - P current

[0033] Adjust the movement of the stepper motor according to this difference;

[0034] Adjust the current and voltage of the stepper motor driver, and precisely adjust the deployment position of the arm cylinder through the PID control algorithm. The control formula is:

[0035] u(t) = K p e(t) + K i ∫e(t)dt + K d

[0036] Among them, e(t) is the position error, K p , K i and K d are the proportional, integral, and differential coefficients respectively, and u(t) is the motor drive control quantity.

[0037] By dynamically calculating the difference between the current position and the target position and using the PID control algorithm to adjust the drive current and voltage of the stepper motor, the present invention can precisely adjust the position of the arm cylinder, avoiding the inaccuracy and delay caused by manual adjustment in traditional devices. The PID control algorithm adjusts the deployment position of the arm cylinder in real time through three control methods: proportional, integral, and differential, so that it reaches the target position, thereby realizing fast and accurate adjustment of the device position, and further improving the measurement efficiency and operation convenience.

[0038] Preferably,

[0039] The pressure sensing system further includes a pressure sensing and position detection algorithm to adjust the size and tightness of the arm cylinder according to the user's arm circumference and arm shape. The algorithm steps are as follows:

[0040] B1. Monitor the contact pressure between the arm cylinder and the skin in real time through the pressure sensor to ensure comfort during measurement;

[0041] B2. Estimate the user's arm circumference size based on the pressure signal and position data. Use linear regression or interpolation methods to predict the arm circumference size according to different pressure values;

[0042] B3. Dynamically adjust the size of the arm cylinder by adjusting the air pressure of the electric drive system or the force of the stepper motor to ensure the best tightness.

[0043] Dynamically adjust the size and tightness of the arm cylinder according to the user's arm circumference and arm morphology to ensure the best comfort. By using a pressure sensor to monitor the contact pressure between the arm cylinder and the skin in real time, the system can automatically adjust the tightness of the device, avoiding measurement errors caused by differences in user body types or changes in arm circumference in traditional devices. In addition, the algorithm also uses linear regression or interpolation methods to estimate the arm circumference based on different pressure signals, and dynamically adjusts the air pressure of the arm cylinder or the force of the stepper motor through an electric drive system to ensure that the device always adapts to the user's body type. This technology significantly improves the adaptive ability and measurement accuracy of the device.

[0044] Preferably,

[0045] The implementation method of the pressure sensing and position detection algorithm includes the following specific formulas:

[0046] Based on the pressure value P collected by the sensor sensor and position data P location , the following formula is used to estimate the arm circumference R:

[0047] R = a·P sensor +b·P location +c

[0048] Where a, b, and c are coefficients obtained through experimental calibration;

[0049] Adjust the expansion width W of the arm cylinder according to the arm circumference size, and the formula is as follows:

[0050] W = a0 + a1·R + a2·R 2 +a3·R 3

[0051] a0, a1, a2, a3 are regression coefficients obtained through experiments.

[0052] Using the regression analysis method, the system can dynamically calculate the arm circumference based on the measured pressure values and position data, and then accurately adjust the expansion width of the arm cylinder. The effectiveness of this method is reflected in the regression coefficients obtained through experiments, which can accurately predict the device adaptability in different arm circumference situations, ensure that each measurement can be carried out in the best way, improve the adaptive ability of the device, and reduce the operation inconvenience caused by body type differences.

[0053] Preferably, it also includes a linkage optimization algorithm. By integrating the results of the automatic positioning algorithm and the pressure sensing and position detection algorithm, the linkage optimization of the device position and tightness is realized. The specific steps include:

[0054] C1. Weightedly integrate the output results of Algorithm 1 and Algorithm 2 to ensure the optimization of the expansion and tightness of the arm cylinder;

[0055] C2. Dynamically adjust the control parameters of the electric drive system according to real-time data, where the control parameters include air pressure and the force of the stepper motor;

[0056] C3. Adjust the unfolding parameters and positions during the measurement in real time according to the changes in the arm circumference of different users.

[0057] The automatic positioning algorithm and the results of the pressure sensing and position detection algorithm are weighted and integrated, optimizing the position and tightness adjustment process of the device. The linkage optimization algorithm can not only dynamically adjust control parameters such as air pressure and the force of the stepper motor according to real-time sensor data, but also adjust the unfolding parameters and positions in real time according to the changes in the arm circumference of different users. Through this linkage optimization method, the present invention can automatically adapt to the needs of users in different usage scenarios, improve the adaptability and measurement efficiency of the device, and at the same time ensure the comfort and accuracy of the device for users of different body types. This technical solution makes the use of the device more intelligent and automated, improving the measurement efficiency and user experience.

[0058] Preferably,

[0059] Let P adjusted be the finally optimized device position, and the formula is as follows:

[0060] Padjusted = α·P target + β·R

[0061] where P target is the target position, R is the estimated arm circumference, and α, β are adjustment coefficients, satisfying α + β = 1.

[0062] By integrating the target position and the estimated arm circumference value, the final optimization of the device position is achieved. The application of this formula further improves the adaptability of the device in complex environments. By adjusting the adjustment coefficients α and β in real time, the device can flexibly adjust its unfolding position and tightness according to real-time data, ensuring that each measurement can reach the optimal state. This technology ensures that the device can quickly and accurately adjust its position under various user conditions, significantly improving the measurement efficiency and the convenience of using the device, while reducing unnecessary repeated operations, making the device operation simpler and faster, and greatly improving the measurement efficiency and user experience.

[0063] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0064] The integration of an electric drive system and an automated algorithm simplifies the blood pressure measurement process. The device can be quickly and stably deployed through a stepper motor and an electric actuator, avoiding the cumbersome steps of traditional manual operations and reducing the time of manual intervention. The automatic positioning algorithm and the intelligent feedback adjustment module automatically adjust the deployment position and tightness of the device in real-time based on the data feedback from the pressure and position sensors, ensuring that each measurement can be completed quickly and accurately. Through these automated operations, the measurement efficiency is significantly improved, the measurement waiting time is reduced, and the overall user experience is enhanced.

[0065] Through the pressure sensing system and the position detection algorithm, the device can dynamically adjust the deployment width and tightness according to the arm circumference and body type of different users. This technology ensures that the blood pressure measurement device can adapt to users of different body types, avoiding the discomfort caused by inappropriate device adaptation during the measurement process. Through precise pressure and position feedback, the device can adjust in real-time and ensure the best comfort, avoiding the situation of being too tight or too loose, thereby enhancing the user's comfort and the accuracy of the measurement.

[0066] By integrating the automatic positioning algorithm and the pressure sensing and position detection algorithms, the present invention realizes the linkage optimization of the device position and tightness. This technology ensures that the device can dynamically adjust parameters according to real-time sensor data each time it is used, keeping the device in the best measurement state. The linkage optimization algorithm can precisely adjust the air pressure and the force of the stepper motor, and adjust the measurement parameters in real-time according to the change of the arm circumference of different users, thereby avoiding measurement errors and ensuring the high precision and stability of each blood pressure measurement result, and enhancing the reliability of the device and the consistency of the measurement. Brief Description of the Drawings

[0067] Figure 1 It is a module relationship diagram of an arm-tube type folding blood pressure monitor with high measurement efficiency according to the present invention. Detailed Description of the Invention

[0068] Embodiment 1:

[0069] An arm-tube type folding blood pressure monitor with high measurement efficiency, comprising:

[0070] An electric drive system, a pressure sensing system, an automatic positioning algorithm module, and an intelligent feedback adjustment module

[0071] The electric drive system includes a stepper motor and an electric actuator. The expansion and contraction of the arm tube are controlled by the stepper motor and the electric actuator. The stepper motor adjusts the movement position of the arm tube according to the feedback signal of the sensor to ensure its quick and stable expansion;

[0072] The pressure sensing system includes a pressure sensor and a position sensor, which can detect the contact pressure between the arm cylinder and the human body in real time, and automatically adjust the size and tightness of the arm cylinder according to the arm circumference of the measurement object;

[0073] The automatic positioning algorithm module calculates and adjusts the deployment and close-fitting position of the arm cylinder according to the data input by the pressure sensing system. Through the dynamic adjustment process, it ensures the stable and accurate contact position between the device and the user;

[0074] The intelligent feedback adjustment module uses the sensor data to perform real-time feedback and adjustment on the deployment process, ensuring that the system can adapt to the body shapes of different users, as well as the different sizes and shapes of the arms.

[0075] An electric drive system, a pressure sensing system, an automatic positioning algorithm module and an intelligent feedback adjustment module are adopted. The comprehensive application of these modules greatly simplifies the blood pressure measurement process and improves the measurement efficiency. First of all, the electric drive system controls the deployment and contraction of the arm cylinder through a stepper motor and an electric actuator, ensuring its rapid and stable deployment, and reducing the cumbersome manual operation; secondly, the pressure sensing system can monitor the contact pressure between the arm cylinder and the human body in real time, and automatically adjust the size and tightness of the arm cylinder, reducing the errors and inconveniences caused by manual adjustment; in addition, the automatic positioning algorithm and the intelligent feedback adjustment module ensure that the device adapts to the body shapes and arm shapes of different users through real-time data feedback, thereby improving the measurement accuracy and comfort, reducing the time waste in the measurement process, and enhancing the user experience.

[0076] Specifically,

[0077] The automatic positioning algorithm module adjusts the position and size of the arm cylinder by analyzing the sensor data. Its steps include:

[0078] A1. Collect real-time data through the pressure sensor and the position sensor, and denoise and filter the real-time data;

[0079] A2. Calculate the optimal deployment position of the arm cylinder according to the collected arm circumference data, and dynamically adjust the deployment speed and strength by matching the input data with a preset model;

[0080] A3. Control the angle and amplitude of the arm cylinder deployment through the stepper motor to ensure that the arm cylinder can accurately reach the target position and meet the comfort requirements of the user.

[0081] The pressure sensor and the position sensor are used to collect the pressure and contact position data between the device and the user in real time. The pressure sensor is used to monitor the contact pressure between the arm cylinder and the skin, and the position sensor is used to record the deployment position of the arm cylinder.

[0082] Denoise and filter the collected data to remove inaccurate data caused by external interference.

[0083] Apply a digital filter (such as Kalman filtering or wavelet transform) to smooth the data and ensure the accuracy of the data.

[0084] According to the sensor feedback data, use a preset mathematical model to calculate the optimal deployment position of the arm cylinder, and determine the angle and amplitude of the arm cylinder deployment.

[0085] Adopt linear regression or interpolation method to match the sensor data with the model and calculate the ideal deployment position of the arm cylinder.

[0086] Precisely control the deployment of the arm cylinder through a stepper motor. According to the calculation results, adjust the position of the electric actuator.

[0087] Use a stepper motor controller to control the movement of the motor through a feedback signal, so that the arm cylinder accurately reaches the target position.

[0088] By elaborating on the working process of the automatic positioning algorithm module, the deployment and positioning process of the arm cylinder is further optimized. By real-time collecting the pressure and position sensor data and denoising and filtering the data, the automatic positioning algorithm module can accurately calculate the optimal deployment position of the arm cylinder. This process not only reduces manual intervention and avoids human errors, but also ensures the stability of the device and the comfort of the user during the measurement process by dynamically adjusting the deployment speed and force. In addition, the stepper motor control algorithm precisely adjusts the deployment angle and amplitude of the arm cylinder to ensure that each deployment can reach the most suitable measurement position. This technology effectively improves the efficiency and accuracy of blood pressure measurement.

[0089] Specifically,

[0090] Based on the real-time sensor data, determine the deployment position of the arm cylinder by dynamically adjusting the parameters, and its implementation formula is as follows:

[0091] Set the target position as P target , and the current position detected by the sensor is P current；

[0092] Calculate the required adjustment amount:

[0093] ΔP = P target - P current

[0094] Adjust the movement of the stepper motor according to this difference;

[0095] Adjust the current and voltage of the stepper motor driver, and precisely adjust the deployment position of the arm cylinder through the PID control algorithm. The control formula is:

[0096] u(t) = K p e(t) + K i∫e(t)dt + K d

[0097] where e(t) is the position error, and K p , K i and K d are the proportional, integral, and differential coefficients respectively, and u(t) is the motor drive control quantity.

[0098] By dynamically calculating the difference between the current position and the target position and using the PID control algorithm to adjust the drive current and voltage of the stepper motor, the present invention can accurately adjust the position of the arm cylinder, avoiding the inaccuracy and delay caused by manual adjustment in traditional devices. The PID control algorithm adjusts the deployment position of the arm cylinder in real time through three control methods: proportional, integral, and differential, so that it reaches the target position, thereby realizing fast and accurate adjustment of the device position and further improving the measurement efficiency and operation convenience.

[0099] Specifically,

[0100] The pressure sensing system further includes a pressure sensing and position detection algorithm, which adjusts the size and tightness of the arm cylinder according to the user's arm circumference and arm shape. The algorithm steps are as follows:

[0101] B1. Real-time monitor the contact pressure between the arm cylinder and the skin through a pressure sensor to ensure comfort during measurement;

[0102] B2. Estimate the user's arm circumference size based on the pressure signal and position data. Use linear regression or interpolation methods to predict the arm circumference according to different pressure values;

[0103] B3. Dynamically adjust the size of the arm cylinder by adjusting the air pressure of the electric drive system or the force of the stepper motor to ensure the best tightness.

[0104] Dynamically adjust the size and tightness of the device to ensure the best comfort and accurate measurement results.

[0105] Implementation steps:

[0106] Real-time monitor pressure and position:

[0107] Use a pressure sensor to real-time monitor the contact pressure between the arm cylinder and the skin and record the data of the position sensor.

[0108] Technical means: Transmit the data of the pressure sensor and the position sensor to the control system in real time through a wireless module to ensure the immediacy of the data.

[0109] Arm circumference estimation:

[0110] Estimate the user's arm circumference R according to the collected pressure data and position data by using a linear regression model or interpolation method.

[0111] Using regression analysis, pressure and position values ​​were modeled to obtain an estimate of arm circumference.

[0112] Among them, a, b, and c are regression coefficients obtained from experimental data.

[0113] According to the estimated arm circumference R, adjust the width W of the equipment.

[0114] Use polynomial regression or other fitting methods to adjust the deployed state of the device based on the known relationship between arm circumference and span width.

[0115] The regression coefficient obtained by fitting the experimental data is used to adjust the air pressure or the strength of the stepper motor according to the real-time estimated arm circumference and device status to ensure the best fit.

[0116] Control the air pressure regulating device or stepper motor and dynamically adjust the adaptability of the equipment through algorithms.

[0117] The output W of the width adjustment formula obtained by the regression analysis method will guide the device to adjust its width to ensure that the device can adapt to the arm circumference of different users.

[0118] During the experiment, the device is used to measure a series of sample objects with known arm circumference R, and the corresponding span width W is recorded.

[0119] The linear or polynomial regression method is used to calculate the best fitting coefficients a0, a1, a2, a3 by the least square method to obtain a function suitable for the device.

[0120] For example, suppose the following data is collected:

[0121] R=[20,22,24,26,28],W=[15,17,19,21,23] Using regression analysis method, we get a set of coefficients a0,a1,a2,a3, which can be used to calculate the span width corresponding to other arm circumference values.

[0122] Through the above steps, the formula is defined as:

[0123] W=a0+a1·R+a2·R 2 +a3·R 3

[0124] For example, if the coefficients a0=10, a1=0.5, a2=-0.02, a3=0.001 are obtained through regression analysis, and the arm circumference of the user is measured to be 24 cm, the width W can be calculated by substituting into the above formula:

[0125] W=10+0.5×24-0.02×24 2+0.001 × 24 3 = 19.52 cm

[0126] In this way, the device can dynamically adjust the expansion width of the arm cylinder according to the user's arm circumference to ensure the best comfort and measurement effect.

[0127] Dynamically adjust the size and tightness of the arm cylinder according to the user's arm circumference and arm shape to ensure the best comfort. By monitoring the contact pressure between the arm cylinder and the skin in real time through a pressure sensor, the system can automatically adjust the tightness of the device, avoiding measurement errors caused by differences in user body types or changes in arm circumference in traditional devices. In addition, the algorithm also uses linear regression or interpolation methods to estimate the arm circumference size based on different pressure signals, and dynamically adjusts the air pressure of the arm cylinder or the force of the stepper motor through an electric drive system to ensure that the device always adapts to the user's body type. This technology significantly improves the adaptive ability and measurement accuracy of the device.

[0128] Specifically,

[0129] The implementation method of the pressure sensing and position detection algorithm includes the following specific formulas:

[0130] Based on the pressure value P collected by the sensor sensor and the position data P location , the following formula is used to estimate the arm circumference R:

[0131] R = a · P sensor + b · P location + c

[0132] where a, b, and c are coefficients obtained through experimental calibration;

[0133] Adjust the expansion width W of the arm cylinder according to the arm circumference size, and the formula is as follows:

[0134] W = a0 + a1 · R + a2 · R 2 + a3 · R 3

[0135] a0, a1, a2, and a3 are regression coefficients obtained through experiments.

[0136] Using the regression analysis method, the system can dynamically calculate the arm circumference based on the measured pressure value and position data, and then accurately adjust the expansion width of the arm cylinder. The effectiveness of this method is reflected in the regression coefficients obtained through experiments, which can accurately predict the device adaptability in different arm circumference situations, ensure that each measurement can be carried out in the best way, improve the adaptive ability of the device, and reduce the operation inconvenience caused by body type differences.

[0137] Specifically, it also includes a linkage optimization algorithm. By integrating the results of the automatic positioning algorithm and the pressure sensing and position detection algorithm, the linkage optimization of the device position and tightness is realized. The specific steps are as follows:

[0138] C1. Weightedly integrate the output results of Algorithm 1 and Algorithm 2 to ensure the expansion and tightness optimization of the arm cylinder;

[0139] C2. Dynamically adjust the control parameters of the electric drive system according to real-time data, and the control parameters include air pressure and stepping motor force;

[0140] C3. According to the arm circumference changes of different users, adjust the expansion parameters and positions during the measurement process in real time.

[0141] When applying the linkage optimization algorithm, the initially calculated P adjusted represents the final target position of the device, which combines two inputs: one is the device target position P target , that is, the ideal position that the user hopes the device to reach; the other is the actual position adjustment amount estimated based on the user's arm circumference data R.

[0142] Adjust the electric actuator of the device:

[0143] The electric drive system (including stepping motors, pneumatic control systems, etc.) uses P adjusted as a control signal to adjust the expansion, contraction and tightness of the device. Specifically: Stepping motor control: P adjusted will be directly input into the stepping motor control system to control the angle and amplitude of the motor, ensuring that the device can be accurately adjusted to this target position. The stepping motor adjusts the expansion angle of the arm cylinder according to P adjusted to precisely control the width of the arm cylinder expansion.

[0144] If the device uses an airbag for adaptation (such as an airbag automatically adjusting the size of the arm cylinder), P adjusted will also control the pneumatic system to adjust the airbag inflation amount to ensure the fit between the arm cylinder and the user's arm. In this way, the device can adaptively adjust according to the user's arm circumference size, avoiding discomfort caused by the arm cylinder being too loose or too tight.

[0145] During each measurement process, the sensors of the device will continuously monitor the current contact state between the arm cylinder and the user. Based on this real-time data, the system will continuously compare with P adjusted to ensure that the expansion and tightness of the device always meet the target state. Feedback mechanism: If the real-time data indicates that the expansion angle or tightness of the device does not reach the optimal state, the control system will automatically adjust the stepping motor and the pneumatic regulation system to ensure that the arm cylinder always maintains appropriate contact and pressure with the user's arm.

[0146] With the optimized P adjusted , the device can dynamically adjust the deployment position and tightness of the device according to the changes in arm circumference and body type differences of different users. Before each measurement, the device can automatically fine-tune to ensure that each user can obtain an accurate and comfortable measurement experience.

[0147] By integrating the results of the automatic positioning algorithm and the pressure sensing and position detection algorithms, the adjustment process of the device's position and tightness is optimized. The linkage optimization algorithm can not only dynamically adjust control parameters such as air pressure and the force of the stepper motor according to real-time sensor data, but also adjust the deployment parameters and position in real time according to the changes in arm circumference of different users. Through this linkage optimization method, the present invention can automatically adapt to the needs of users in different usage scenarios, improve the adaptability and measurement efficiency of the device, and at the same time ensure the comfort and accuracy of the device among users with different body types. This technical solution makes the use of the device more intelligent and automated, improving the measurement efficiency and user experience.

[0148] Specifically,

[0149] Let P adjusted be the finally optimized device position, and the formula is as follows:

[0150] Padjusted = α·P target +β·R

[0151] where P target is the target position, R is the estimated arm circumference, and α, β are adjustment coefficients, satisfying α + β = 1.

[0152] By integrating the target position and the estimated arm circumference value, the final optimization of the device position is achieved. The application of this formula further improves the adaptability of the device in complex environments. By adjusting the adjustment coefficients α and β in real time, the device can flexibly adjust its deployment position and tightness according to real-time data to ensure that each measurement reaches the optimal state. This technology ensures that the device can quickly and accurately adjust its position under various user conditions, significantly improving the measurement efficiency and the convenience of using the device, while reducing unnecessary repeated operations, making the device operation simpler and faster, and greatly improving the measurement efficiency and user experience.

Claims

1. An arm-cuff type folding blood pressure monitor with high measurement efficiency, characterized in that: include: Electric drive system, pressure sensing system, automatic positioning algorithm module and intelligent feedback adjustment module The electric drive system includes a stepper motor and an electric actuator, which control the expansion and contraction of the arm tube. The stepper motor adjusts the movement position of the arm tube according to the feedback signal of the sensor to ensure that it is quickly and stably expanded. The pressure sensing system includes a pressure sensor and a position sensor, which detects the contact pressure between the arm tube and the human body in real time, and automatically adjusts the size and tightness of the arm tube according to the arm circumference of the measured object; The automatic positioning algorithm module calculates and adjusts the deployment and close contact position of the arm tube according to the data input by the pressure sensing system, and ensures that the contact position between the device and the user is stable and accurate through a dynamic adjustment process; The intelligent feedback adjustment module uses sensor data to provide real-time feedback and adjustments to the deployment process, ensuring that the system can adapt to different user body types, and different arm sizes and shapes.

2. The arm-cuff type folding blood pressure monitor with high measurement efficiency according to claim 1, characterized in that: The automatic positioning algorithm module adjusts the position and size of the arm tube by analyzing the sensor data, and the steps include: A1. Collect real-time data through pressure sensors and position sensors, remove noise from the real-time data, and filter the signals; A2. Calculate the optimal deployment position of the arm tube based on the collected arm circumference data, and dynamically adjust the deployment speed and strength by matching the input data with the preset model; A3. The stepper motor is used to control the angle and amplitude of the arm to ensure that the arm can accurately reach the target position and meet the user's comfort requirements.

3. The arm-cuff type folding blood pressure monitor with high measurement efficiency according to claim 2, characterized in that: Based on the real-time sensor data, the deployment position of the arm is determined by dynamically adjusting the parameters. The implementation formula is as follows: Set the target position to P target , the current position detected by the sensor is P current； Calculate the required adjustment: ΔP=P target -P current The movement of the stepper motor is adjusted according to the difference; Adjust the current and voltage of the stepper motor driver, and use the PID control algorithm to accurately adjust the deployment position of the arm. The control formula is: u(t)=K p e(t)+K i ∫e(t)dt+K d Where, e(t) is the position error, K p ,K i and K d are the proportional, integral and differential coefficients respectively, and u(t) is the motor drive control quantity.

4. The arm-cuff type folding blood pressure monitor with high measurement efficiency according to claim 3, characterized in that: The pressure sensing system also includes a pressure sensing and position detection algorithm to adjust the size and tightness of the arm tube according to the user's arm circumference and arm shape. The algorithm steps are as follows: B1. Use the pressure sensor to monitor the contact pressure between the arm tube and the skin in real time to ensure comfort during measurement; B2. Estimate the user's arm circumference based on the pressure signal and position data. Use linear regression or interpolation methods to predict the size of the arm circumference based on different pressure values; B3. Dynamically adjust the size of the arm tube by adjusting the air pressure of the electric drive system or the strength of the stepper motor to ensure the best fit.

5. The arm-cuff type folding blood pressure monitor with high measurement efficiency according to claim 4, characterized in that: The implementation method of the pressure sensing and position detection algorithm includes the following specific formula: According to the pressure value P collected by the sensor sensor and position data P location , use the following formula to estimate arm circumference R: R=a·P sensor +b·P location +c Among them, a, b and c are coefficients obtained through experimental calibration; Adjust the width W of the arm tube according to the arm circumference. The formula is as follows: <h2 style=";text-align:left;direction:ltr">W = a0 + a1 R + a2 R<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> +a3·R<h2 style=";text-align:left;direction:ltr"> 3 a0, a1, a2, a3 are the regression coefficients obtained through experiments.

6. The arm-cuff type folding blood pressure monitor with high measurement efficiency according to claim 5, characterized in that: It also includes a linkage optimization algorithm, which integrates the results of the automatic positioning algorithm and the pressure sensing and position detection algorithm to achieve linkage optimization of device position and tightness. The specific steps include: C1, weighted integration of the output results of Algorithm 1 and Algorithm 2 to ensure the optimization of the deployment and tightness of the arm tube; C2. Dynamically adjust the control parameters of the electric drive system according to real-time data, wherein the control parameters include air pressure and stepper motor force; C3. According to the changes in arm circumference of different users, the expansion parameters and positions during the measurement process are adjusted in real time.

7. The arm-cuff type folding blood pressure monitor with high measurement efficiency according to claim 6, characterized in that: Let P adjusted The final optimized device position is as follows: Padjusted=α·P target +β·R Among them, P target is the target position, R is the estimated arm circumference, α, β are adjustment coefficients, satisfying α+β=1.

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