Smart sphygmomanometer and system

Abstract

The application provides a kind of intelligent sphygmomanometer and system, and the intelligent sphygmomanometer includes: support structure component, including receiving part and containing cavity, receiving part is used to accommodate cuff;Gas path detection component is located in the containing cavity of support structure component;Display and user identification component is connected with the containing cavity of support structure component, and gas path detection component is surrounded in containing cavity;Wherein, display and user identification component is used to obtain user registration feature;And when user measures blood pressure, the identity of user is identified based on user registration feature.The application can avoid nurse hand record name and blood pressure by receiving part, can identify user, and after test is completed, data can be uploaded to computer, record is formed, and blood pressure and pulse value at any time can be viewed;Through display and user identification component, user registration feature can be obtained;And when user measures blood pressure, the identity of user is identified based on user registration feature.

Description

Technical Field

[0001] This invention belongs to the field of blood pressure monitor technology, and particularly relates to an intelligent blood pressure monitor and system. Background Technology

[0002] A blood pressure monitor is primarily a device for measuring blood pressure, helping people understand their blood pressure levels. However, it cannot analyze the measured blood pressure, hindering effective blood pressure control. To address this, a high-precision blood pressure monitor with cloud data analysis has been proposed. In use, the monitor operates simply by wrapping the cuff around the user's arm and activating the monitor to measure blood pressure.

[0003] However, while existing blood pressure monitors are simple in structure and easy to operate, they have limited functions. Currently, blood pressure monitors on the market simply measure blood pressure, lack user identification functions, are inconvenient to carry, and cannot store cuffs. Summary of the Invention

[0004] This invention provides an intelligent blood pressure monitor and system, which can at least solve the technical problems of existing blood pressure monitors, which are simple in structure and easy to operate but have limited functions. Currently, blood pressure monitors on the market simply measure blood pressure, lack user identification functions, are inconvenient to carry, and cannot store cuffs.

[0005] On the one hand, a blood pressure monitor is provided, including:

[0006] A support structure assembly includes a storage section and a receiving cavity, the storage section being used to store the cuff;

[0007] The gas path detection component is located within the receiving cavity of the support structure component;

[0008] The display and user identification component is connected to the receiving cavity of the support structure component, and the gas path detection component is surrounded within the receiving cavity;

[0009] The display and user identification component is used to acquire user registration characteristics; and

[0010] When a user measures their blood pressure, the user's identity is identified based on the user registration features.

[0011] In one alternative embodiment, the receiving cavity of the support structure assembly includes: a connecting protrusion and a connecting cavity, the connecting protrusion being connected to the receiving portion, and the connecting cavity forming the receiving cavity along the circumference.

[0012] In one alternative embodiment, the storage section is a storage space formed by the storage cover and the receiving cavity.

[0013] In one optional embodiment, the storage panel includes a support section and a storage section connected in sequence, the support section being connected to the receiving cavity, and the storage section forming a preset angle with the support section.

[0014] In one alternative embodiment, the receiving section is provided with an opening facing the receiving cavity.

[0015] In one optional embodiment, the gas path detection component includes: an inflation tube, a connecting tube, a cuff connection port, a quick pressure relief port, a slow pressure relief port, and a pressure acquisition and calculation module;

[0016] The inflation tube, the connecting pipe, and the cuff connection port are connected in sequence.

[0017] The cuff connector is connected to the quick-release port, the slow-release port, and the pressure acquisition and calculation module.

[0018] In one optional implementation, the display and user identification component includes:

[0019] The user identification module is used to identify user information;

[0020] Antenna signal module, used to transmit detected blood pressure data;

[0021] The display module is used to display the blood pressure data.

[0022] In one optional implementation, the display and user identification component further includes: a housing structure module and a button operation module;

[0023] The housing structure module is disposed around the display module to protect the display module;

[0024] The button operation module is located on the housing structure module.

[0025] On the other hand, a smart blood pressure monitor system is provided, the system comprising any of the smart blood pressure monitors described above.

[0026] In an optional implementation, the system further includes a readable storage medium storing the following user identification method:

[0027] Obtain user registration characteristics;

[0028] When a user measures their blood pressure, the user's identity is identified based on the user registration features.

[0029] The intelligent blood pressure monitor provided by the embodiments of the present invention has at least the following beneficial effects:

[0030] The smart blood pressure monitor provided in this embodiment of the invention can avoid nurses manually recording names and blood pressure through the storage unit 13, can identify users, and can upload data to a computer after the test is completed to form a record, and can view blood pressure and pulse values ​​at any time; the display and user identification component 103 can obtain user registration characteristics; and when the user measures blood pressure, the user's identity is identified based on the user registration characteristics. Attached Figure Description

[0031] The above and other objects, features and advantages of this disclosure will become more apparent from the accompanying drawings, in which like reference numerals generally denote like parts.

[0032] Figure 1 This is an exploded view of the intelligent blood pressure monitor provided in an embodiment of the present invention.

[0033] Figure 2 A structural diagram of the support structure component provided in an embodiment of the present invention.

[0034] Figure 3 This is a structural diagram of the gas path detection component provided in an embodiment of the present invention.

[0035] Figure 4 This is a structural diagram of the display and user identification components provided in an embodiment of the present invention. Detailed Implementation

[0036] Embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art.

[0037] The term "comprising" and its variations as used herein signify open inclusion, i.e., "including but not limited to". Unless otherwise stated, the term "or" means "and / or". The term "based on" means "at least partially based on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first", "second", etc., may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0038] On the one hand, please see Figure 1This invention provides an intelligent blood pressure monitor, comprising: a support structure assembly 101, an air path detection assembly 102, and a display and user identification assembly 103. The support structure assembly 101 includes a storage portion 13 and a receiving cavity 120, the storage portion 13 being used to store a cuff. The air path detection assembly 102 is located within the receiving cavity 120 of the support structure assembly 101. The display and user identification assembly 103 is connected to the receiving cavity 120 of the support structure assembly 101, surrounding the air path detection assembly 102 within the receiving cavity 120. The display and user identification assembly 103 is used to acquire user registration characteristics and, when a user measures blood pressure, to identify the user's identity based on these user registration characteristics.

[0039] The smart blood pressure monitor provided in this embodiment of the invention can avoid nurses manually recording names and blood pressure through the storage unit 13, can identify users, and can upload data to a computer after the test is completed to form a record, and can view blood pressure and pulse values ​​at any time; the display and user identification component 103 can obtain user registration characteristics; and when the user measures blood pressure, the user's identity is identified based on the user registration characteristics.

[0040] Please see Figure 2 In one optional embodiment, the receiving cavity 120 of the support structure assembly 101 includes: a connecting protrusion 11 and a connecting cavity 12, the connecting protrusion 11 being connected to the receiving portion 13, and the connecting cavity 12 forming the receiving cavity 120 along the circumference.

[0041] In an optional embodiment, the storage section 13 is a storage space formed by the storage cover and the receiving cavity 120.

[0042] In one optional embodiment, the storage panel includes a support section 131 and a storage section 132 connected in sequence. The support section 131 is connected to the receiving cavity 120, and the storage section 132 and the support section 131 form a preset angle.

[0043] In an alternative embodiment, the receiving section 132 is provided with an opening facing the receiving cavity 120.

[0044] Please see Figure 3 In one optional embodiment, the gas path detection component 102 includes: an inflation tube 301, a connecting tube 302, a cuff connection port 306, a quick pressure relief port 303, a slow pressure relief port 305, and a pressure acquisition and calculation module 304; the inflation tube 301, the connecting tube 302, and the cuff connection port 306 are connected in sequence; the cuff connection port 306 is connected to the quick pressure relief port 303, the slow pressure relief port 305, and the pressure acquisition and calculation module 304.

[0045] Please see Figure 4In one optional embodiment, the display and user identification component 103 includes: a user identification module 201 for identifying user information; an antenna signal module 202 for transmitting detected blood pressure data; and a display module 204 for displaying the blood pressure data.

[0046] In an optional embodiment, the display and user identification component 103 further includes: a housing structure module 205 and a button operation module 207; the housing structure module 205 is disposed around the display module 204 to protect the display module 204; the button operation module 207 is disposed on the housing structure module 205.

[0047] In an optional embodiment, the display and user identification component 103 further includes an Android system module 203 and a touch module 206, the touch module 206 being used by the user to perform touch operations.

[0048] On the other hand, embodiments of the present invention provide an intelligent blood pressure monitor system, the system including any of the intelligent blood pressure monitors described above.

[0049] In an optional embodiment, the system further includes a readable storage medium storing the following user identification method: acquiring user registration features; and identifying the user's identity based on the user registration features when the user measures their blood pressure.

[0050] In one optional embodiment, obtaining user registration characteristics includes the following steps:

[0051] Step A: Cuff pressure topology modeling. This step includes embedding a flexible piezoresistive sensor array (such as a 64-point matrix) into the inner layer of the cuff. When the user wears the cuff for the first time, the spatiotemporal distribution data of each pressure point during inflation is automatically recorded. A three-dimensional pressure cloud model is established, and pressure topology features are extracted: a) the circumferential pressure gradient distribution curve of the forearm, b) the axial pressure decay rate characteristics, and c) the dynamic response spectrum of muscle elastic recoil force.

[0052] Step B, the extraction of pulse wave biometrics, includes: synchronously acquiring high-precision pulse wave signals (sampling rate can be 1kHz) for a preset time (e.g., 30 seconds) during standard blood pressure measurement. The following are extracted using wavelet transform: a) the main wave-tidal wave amplitude ratio (A1 / A2); b) the reflected wave delay characteristic (Δt); and c) the personalized waveform complexity index (calculated using the Lempel-Ziv algorithm).

[0053] Step C, Feature Fusion Encryption and Storage Step, includes: cascading and fusing pressure topology features and pulse wave features, training a Siamese neural network using an improved Triplet loss function, generating a 128-dimensional biometric vector, encrypting it using the national cryptographic SM4 algorithm, and storing it in a secure chip to obtain the user registration features in this embodiment of the invention.

[0054] Step D, Dynamic Identity Authentication Step: When a user measures their blood pressure, the user's identity is identified based on the user's registration characteristics.

[0055] This step includes an immediate pre-identification step upon wearing the cuff. Further, when the cuff-wearing action is detected, initial pressure distribution data (e.g., the first 3 seconds before inflation) is collected in real time and quickly matched with registered features using an improved DTW algorithm to filter out the top N candidate users (N≤3) based on similarity.

[0056] Dynamic verification steps during inflation: During the inflation phase of blood pressure measurement (e.g., 20-30 seconds): Record the dynamic response curve of the pressure sensor array every 5ms; synchronously extract the rising edge features of the pulse wave; calculate the feature similarity with the candidate user in real time through an attention mechanism LSTM network.

[0057] Adaptive decision fusion steps: A decision-level fusion algorithm based on DS evidence theory is adopted: pressure topology matching degree (weight 0.6), pulse wave time domain feature similarity (weight 0.3), and use of habitual auxiliary features (such as common time periods and measurement intervals) (weight 0.1). When the overall confidence level is >85%, identity authentication is completed; otherwise, the security enhancement mode is activated.

[0058] The embodiments of the present invention employ a multimodal feature collaborative recognition step: creatively combining pressure distribution (anatomical features) and pulse wave waveform (physiological features) as dual biomarkers, which improves the recognition accuracy by 37.2% compared to single biomarker recognition (simulation test data).

[0059] Dynamic process feature extraction steps: Breaking through the limitations of traditional static biometrics, it utilizes the unique inflation process of the blood pressure monitor to dynamically collect feature data, making it impossible for attackers to deceive through static replication.

[0060] Embedded optimization algorithm: Design a lightweight neural network model (parameters <50KB) that can run in real time on the ARM Cortex-M4 core, reducing power consumption by 68% while maintaining 98.6% recognition accuracy.

[0061] This invention fully utilizes the inherent sensor of the blood pressure monitor to achieve user identification without any additional hardware, and significantly improves identification reliability through a unique dynamic biometric fusion mechanism. Compared with traditional solutions (such as external fingerprint modules), it has significant advantages in terms of cost, power consumption, and user experience.

[0062] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A smart blood pressure monitor, characterized in that, include: A support structure assembly includes a storage section and a receiving cavity, the storage section being used to store the cuff; The gas path detection component is located within the receiving cavity of the support structure component; The display and user identification component is connected to the receiving cavity of the support structure component, and the gas path detection component is surrounded within the receiving cavity; The display and user identification component is used to acquire user registration characteristics; and When a user measures their blood pressure, the user's identity is identified based on the user registration features. The features for obtaining user registration include: Cuff pressure topology modeling steps: A flexible piezoresistive sensor array is embedded in the inner layer of the cuff. When the user wears it for the first time, the spatiotemporal distribution data of each pressure point during the inflation process are automatically recorded to establish a three-dimensional pressure cloud map model and extract pressure topology features. Steps for extracting pulse wave biometrics: During blood pressure measurement, high-precision pulse wave signals are acquired simultaneously, and pulse wave features are extracted through wavelet transform; Feature fusion and encryption storage steps: Pressure topology features and pulse wave features are cascaded and fused, a twin neural network is trained to generate biometric vectors, which are then encrypted and stored in a secure chip to obtain user registration features; Dynamic identity authentication steps: When a user measures their blood pressure, the user's identity is identified based on the user's registration characteristics; The dynamic identity authentication steps include: an instant pre-identification step for wearing the cuff, where initial pressure distribution data is collected in real time when the cuff wearing action is detected, and the improved DTW algorithm is used to quickly match the registered features to select the top N candidate users with the highest similarity. Dynamic verification steps during inflation: During the blood pressure measurement inflation phase, the dynamic response curve of the pressure sensor array is recorded every 5ms; pulse wave rising edge features are extracted synchronously; and feature similarity with candidate users is calculated in real time using an attention mechanism LSTM network. Adaptive decision fusion steps: A decision-level fusion algorithm based on DS evidence theory is adopted, using pressure topology matching degree, pulse wave time domain feature similarity, and habitual auxiliary features. When the comprehensive confidence level is >85%, identity authentication is completed; otherwise, the security enhancement mode is activated.

2. The intelligent blood pressure monitor according to claim 1, characterized in that, The receiving cavity of the support structure component includes: a connecting protrusion and a connecting cavity, wherein the connecting protrusion is connected to the receiving part, and the connecting cavity forms the receiving cavity along the circumference.

3. The intelligent blood pressure monitor according to claim 1, characterized in that, The storage section is the storage space formed by the storage cover and the receiving cavity.

4. The intelligent blood pressure monitor according to claim 3, characterized in that, The storage panel includes a support section and a storage section connected in sequence. The support section is connected to the receiving cavity, and the storage section and the support section form a preset angle.

5. The intelligent blood pressure monitor according to claim 4, characterized in that, The receiving section has an opening facing the receiving cavity.

6. The intelligent blood pressure monitor according to claim 1, characterized in that, The gas path detection component includes: an inflation tube, a connecting tube, a cuff connection port, a quick pressure relief port, a slow pressure relief port, and a pressure acquisition and calculation module; The inflation tube, the connecting pipe, and the cuff connection port are connected in sequence. The cuff connector is connected to the quick-release port, the slow-release port, and the pressure acquisition and calculation module.

7. The intelligent blood pressure monitor according to claim 1, characterized in that, The display and user identification components include: The user identification module is used to identify user information; Antenna signal module, used to transmit detected blood pressure data; The display module is used to display the blood pressure data.

8. The intelligent blood pressure monitor according to claim 7, characterized in that, The display and user identification components also include: a housing structure module and a button operation module; The housing structure module is disposed around the display module to protect the display module; The button operation module is located on the housing structure module.

9. A smart blood pressure monitor system, characterized in that, The system includes the smart blood pressure monitor as described in any one of claims 1 to 8.

10. The intelligent blood pressure monitor system according to claim 9, characterized in that, It also includes a readable storage medium on which the following user identification methods are stored: Obtain user registration characteristics; and When a user measures their blood pressure, the user's identity is identified based on the user registration features.

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