Wrist real-time display and alarm prompt vital sign monitoring connection system

The wrist-worn vital signs monitoring system calculates comprehensive deviation and trend risk scores through a wrist-worn display terminal, solving the problem of alarm response delay in existing technologies and enabling early and sensitive warnings of patients' physiological status.

CN121890964APending Publication Date: 2026-04-21THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
Filing Date
2026-01-13
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing monitoring systems cannot effectively integrate multiple vital sign data in intensive care environments, resulting in delayed or missed alarm responses and an inability to accurately identify early abnormalities in the patient's overall physiological state.

Method used

Design a wrist-worn real-time display and alarm prompt vital sign monitoring connection system. The system calculates the comprehensive deviation risk value through the wrist-worn display terminal, combines acute and trend risk scores, implements graded early warning, and integrates a display screen, vibration motor and speaker for intelligent analysis and early warning.

Benefits of technology

It enables early and sensitive warning of the patient's overall physiological state, reduces the risk of alarm response delay and omission, and conducts prospective risk assessment through deep intelligent fusion analysis.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of medical monitoring, and particularly relates to a wrist type real-time display and alarm prompt vital sign monitoring connection system, which firstly calculates the comprehensive deviation risk value of a life body, then evaluates and calculates the acute risk score based on the calculation result of the comprehensive deviation risk value, and finally displays the acute risk score. Calculating a trend risk score based on a recent change trend of the acute risk score, calculating a comprehensive risk score of a human body based on the acute risk score and the trend risk score, and finally comparing a calculation result of the comprehensive risk score with an early warning threshold value and implementing graded early warning through a wrist-worn display terminal. According to the method, medical staff can check monitoring information conveniently in the monitoring process, the risk of alarm response delay or omission is effectively reduced, deep intelligent fusion analysis and prospective risk assessment can be conducted on data, and early-stage sensitive early warning of the overall physiological state of a patient can be achieved.
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Description

Technical Field

[0001] This invention belongs to the field of medical monitoring technology, specifically relating to a wrist-mounted real-time display and alarm prompt vital sign monitoring connection system. Background Technology

[0002] In intensive care environments, medical staff need to monitor multiple vital signs of patients simultaneously, including heart rate, respiration, blood pressure, and blood oxygen saturation. Currently, the mainstream monitoring systems mainly rely on central monitors fixed at the bedside. During monitoring, medical staff need to frequently check the screen, especially when handling multiple patients or performing other operations, which may lead to delayed or missed alarm responses. Although some studies have attempted to wirelessly transmit monitor data to a central station or tablet, these solutions mainly achieve remote centralized display or simple forwarding of data, without conducting in-depth intelligent fusion analysis and prospective risk assessment of the data. They cannot mathematically fuse multiple key vital signs to quantify their comprehensive abnormality and dynamic risk. Alarms are usually based on independent thresholds of a single parameter, and the inherent correlation and synergistic change patterns between parameters are ignored, resulting in insufficient sensitivity in the early identification of the patient's overall physiological deterioration.

[0003] To address the aforementioned issues, this application presents a wrist-worn real-time display and alarm notification system for monitoring vital signs. Summary of the Invention

[0004] To address the shortcomings of the prior art mentioned in the background section, this application proposes a wrist-worn real-time display and alarm-prompting vital sign monitoring and connection system. Firstly, it assesses the overall deviation risk value of the vital signs. Calculations are performed, and then based on the comprehensive deviation risk value. The calculation results for acute risk score An assessment calculation was performed, followed by an acute risk score. Recent trends in trend risk score Calculations are performed, and then based on the acute risk score. Trend risk score Comprehensive risk score for the human body The calculations will be performed, and the final comprehensive risk score will be determined. The calculation results are compared with the warning threshold to implement graded warnings, in order to solve the problems in the background technology.

[0005] To achieve the above objectives, this application provides a wrist-worn real-time display and alarm prompt vital sign monitoring connection system, including a bedside monitor, a wireless data transmitter, and a wrist-worn display terminal. The wireless data transmitter is connected to the bedside monitor via a wired data interface to acquire vital sign parameters monitored by the bedside monitor in real time. After encapsulating and encrypting the acquired vital sign parameters, the transmitter sends them to the wrist-worn display terminal via a wireless network. The wrist-worn display terminal is worn by medical personnel to wirelessly receive the vital sign parameters sent by its associated wireless data transmitter. It includes a display screen, a vibration motor, a speaker, and a processing unit. It also includes a multi-vital sign intelligent analysis and early warning module, which is integrated into the processing unit of the wrist-worn display terminal. This module is used to intelligently assess the received vital sign parameters and trigger graded early warnings, including the following steps: S1. Process the received vital signs parameters and remove abnormal data; S2. Based on processing, the risk value of the overall deviation of vital sign parameters from the living organism after removing outlier data. Perform calculations; Based on processing, the risk value of the overall deviation of vital sign parameters from the living organism after removing outlier data is calculated. The calculation includes the following steps: S21. First, let the vital signs parameter vector be... They represent heart rate Blood oxygen systolic blood pressure diastolic blood pressure respiratory rate Then define the normal range. Warning range Alarm range The normal range is included in the warning range, and the warning range is included in the alarm range. S22. Calculate the individual deviation of each vital sign parameter using a piecewise linear function. Individual deviation The calculation formula is: ; in, This is the lower limit of the warning range. This is the upper limit of the warning range. This is the lower limit of the alarm range. This is the upper limit of the alarm range. This is the lower limit of the extreme range. This represents the upper limit of the extreme range. S23, Based on Individual Deviation The calculation results show the overall deviation risk value of the living organism. Calculate the overall deviation risk value. The calculation formula is: ; in, Let be the preset weight coefficients for the i-th vital sign parameter vector, and ; S3, Risk Value Based on Comprehensive Deviation The calculation results for acute risk score Perform evaluation calculations; S4, Based on Acute Risk Score Recent trends in trend risk score Perform calculations; S5, Based on Acute Risk Score Trend risk score Comprehensive risk score for the human body Perform calculations; S6. Comprehensive risk scoring The calculation results are compared with the warning threshold to implement tiered warnings.

[0006] Based on the above scheme, the preferred method involves processing the received vital sign parameters and removing abnormal data, including the following steps: S11. Data quality index of received vital sign parameters Calculations are performed to assess the validity of critical data and the data quality index. The calculation formula is: in, For the number of valid data points, For the theoretical number of data points, when Data quality warnings are triggered at certain times; S12. Take the 8 most recent valid historical sample values ​​from the received vital signs parameters, calculate the mean μ and standard deviation σ, and if the current sample value exceeds... Then replace the outlier with the previous sampled value.

[0007] Based on the above scheme, the preferred vital sign parameters include heart rate. Blood oxygen systolic blood pressure diastolic blood pressure respiratory rate .

[0008] Based on the above schemes, the preferred acute risk score The calculation formula is: ; in, , These are the weighting coefficients. This is the maximum value among all individual deviations of the parameters.

[0009] The preferred option based on the above schemes is the trend risk score. The calculation formula is: ; in, For the current moment value, For n adoption cycles before value, Within the most recent n adoption periods Standard deviation of the value , This is the trend sensitivity coefficient.

[0010] Based on the above schemes, the optimal one is the comprehensive risk score. The calculation formula is: ; in, To integrate weighting coefficients , This indicates that only the trend of increasing risk is considered.

[0011] Based on the above options, the preferred option will be a comprehensive risk score. The calculation results are compared with the warning threshold to implement tiered warnings, including the following steps: S61. Obtain a comprehensive risk score. The calculation results and the warning thresholds set in ascending order. , , Perform a comparison; S62, when At that time, there was no warning, and the display screen showed the data normally; when When a low-level warning is triggered: the border of the data area on the wrist-worn display screen flashes yellow, and the vibration motor vibrates briefly once; when When a medium-level warning is triggered: the border of the display data area flashes orange, the vibration motor vibrates intermittently, and the speaker emits a low-frequency, intermittent warning sound; when When this occurs, an advanced warning is triggered: the red highlight of the data area border on the display flashes, the vibration motor vibrates continuously and strongly, and the speaker emits a high-frequency continuous alarm sound.

[0012] In a preferred embodiment of the above scheme, the wrist-worn display terminal is equipped with a confirmation button for medical personnel to confirm alarm information. The signal confirmed by the confirmation button can be transmitted back and recorded by the system.

[0013] Compared with the prior art, the beneficial effects of the present invention are: This invention first measures the overall deviation risk value of living organisms. Calculations are performed, and then based on the comprehensive deviation risk value. The calculation results for acute risk score An assessment calculation was performed, followed by an acute risk score. Recent trends in trend risk score Calculations are performed, and then based on the acute risk score. Trend risk score Comprehensive risk score for the human body The calculations will be performed, and the final comprehensive risk score will be determined. The calculation results are compared with the warning threshold and graded warnings are implemented through the wrist-worn display terminal. This not only makes it easier for medical staff to view the monitoring information during the monitoring process and effectively reduces the risk of delayed or missed alarm responses, but also enables in-depth intelligent fusion analysis and prospective risk assessment of the data, which can achieve early and sensitive warnings of the patient's overall physiological state. Attached Figure Description

[0014] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a system flowchart of a wrist-type real-time display and alarm prompt vital sign monitoring connection system according to the present invention; Figure 2 This is a flowchart of the evaluation calculation process for the multi-vital sign intelligent analysis and early warning module in this invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0016] Example: To address the technical problems raised in the background art, this application provides a preferred embodiment: such as Figure 1-2As shown, a wrist-worn real-time display and alarm prompt vital sign monitoring connection system includes a bedside monitor, a wireless data transmitter, and a wrist-worn display terminal. The wireless data transmitter is connected to the bedside monitor via a wired data interface to acquire vital sign parameters monitored by the bedside monitor in real time. After encapsulating and encrypting the acquired vital sign parameters, the transmitter sends them to the wrist-worn display terminal via a wireless network. The wrist-worn display terminal is worn by medical staff to wirelessly receive the vital sign parameters sent by the wireless data transmitter associated with it. It includes a display screen, a vibration motor, a speaker, and a processing unit. It also includes a multi-vital sign intelligent analysis and early warning module, which is integrated into the processing unit of the wrist-worn display terminal. This module is used to intelligently assess the received vital sign parameters and trigger graded early warnings, including the following steps: S1. Process the received vital signs parameters and remove abnormal data; S2. Based on processing, the risk value of the overall deviation of vital sign parameters from the living organism after removing outlier data. Perform calculations; Based on processing, the risk value of the overall deviation of vital sign parameters from the living organism after removing outlier data is calculated. The calculation includes the following steps: S21. First, let the vital signs parameter vector be... They represent heart rate Blood oxygen systolic blood pressure diastolic blood pressure respiratory rate Then define the normal range. Warning range Alarm range The normal range is included in the warning range, and the warning range is included in the alarm range. S22. Calculate the individual deviation of each vital sign parameter using a piecewise linear function. Individual deviation The calculation formula is: ; in, This is the lower limit of the warning range. This is the upper limit of the warning range. This is the lower limit of the alarm range. This is the upper limit of the alarm range. This is the lower limit of the extreme range. This represents the upper limit of the extreme range. S23, Based on Individual Deviation The calculation results show the overall deviation risk value of the living organism. Calculate the overall deviation risk value. The calculation formula is: ; in, Let be the preset weight coefficients for the i-th vital sign parameter vector, and ; S3, Risk Value Based on Comprehensive Deviation The calculation results for acute risk score Perform evaluation calculations; S4, Based on Acute Risk Score Recent trends in trend risk score Perform calculations; S5, Based on Acute Risk Score Trend risk score Comprehensive risk score for the human body Perform calculations; S6. Comprehensive risk scoring The calculation results are compared with the warning threshold to implement tiered warnings.

[0017] The advantages of the above scheme are: firstly, it provides a comprehensive deviation risk value for the living organism. Calculations are performed, and then based on the comprehensive deviation risk value. The calculation results for acute risk score An assessment calculation was performed, followed by an acute risk score. Recent trends in trend risk score Calculations are performed, and then based on the acute risk score. Trend risk score Comprehensive risk score for the human body The calculations will be performed, and the final comprehensive risk score will be determined. The calculation results are compared with the warning threshold and graded warnings are implemented through the wrist-worn display terminal. This not only makes it easier for medical staff to view the monitoring information during the monitoring process and effectively reduces the risk of delayed or missed alarm responses, but also enables in-depth intelligent fusion analysis and prospective risk assessment of the data. This achieves a leap from single-point alarm to comprehensive risk assessment. The system no longer makes isolated judgments, but assesses the overall risk status under the synergistic effect of all vital signs, which is more in line with the complexity of human physiology and can achieve early and sensitive warnings of the patient's overall physiological state.

[0018] Furthermore: In an optional embodiment, the received vital sign parameters are processed to remove abnormal data, including the following steps: S11. Data quality index of received vital sign parameters Calculations are performed to assess the validity of critical data and the data quality index. The calculation formula is: in, For the number of valid data points, For the theoretical number of data points, when Data quality warnings are triggered at certain times; S12. Take the 8 most recent valid historical sample values ​​from the received vital signs parameters, calculate the mean μ and standard deviation σ, and if the current sample value exceeds... Then replace the outlier with the previous sampled value.

[0019] In an optional embodiment, vital signs parameters include heart rate. Blood oxygen systolic blood pressure diastolic blood pressure respiratory rate .

[0020] In an optional embodiment, acute risk scoring The calculation formula is: ; in, , These are the weighting coefficients. This is the maximum value among all individual deviations of the parameters.

[0021] It should be noted that: Formula By analyzing the comprehensive deviation risk value Taking the natural logarithm enables nonlinear sensitivity capture of the superposition of slight anomalies in multiple parameters. When multiple parameters deviate slightly at the same time, Although the numerical value is not large, the logarithmic function can amplify its risk value, which aligns with the clinical intuition that mild multisystem dysfunction may indicate serious problems. Guaranteed The logarithm is meaningful when it is 0, according to the formula. By focusing directly on the most abnormal single parameter, in clinical practice, a rapid deterioration of a vital sign, such as a sudden drop in blood oxygen, requires immediate intervention, regardless of whether other parameters are normal. This ensures the system's extremely high sensitivity to single emergency events. The formula is not a simple addition, but rather involves adjusting coefficients. and A logically sound and clinically prioritized balance was achieved between overall imbalance and local collapse.

[0022] Furthermore: In an optional embodiment, trend risk scoring The calculation formula is: ; in, For the current moment value, For n adoption cycles before value, Within the most recent n adoption periods Standard deviation of the value , This is the trend sensitivity coefficient.

[0023] It should be noted that: Formula It is a calculation The average rate of change within the most recent time window can accurately identify whether a condition is rapidly deteriorating or slowly improving. This can reflect drastic fluctuations or unstable states of vital signs. It captures risk instability that static thresholds cannot reflect, and is a trend risk score. The calculation formula combines the direction and speed of change with data volatility, and can dynamically assess risk trends from multiple dimensions.

[0024] In an optional embodiment, the comprehensive risk score The calculation formula is: ; in, To integrate weighting coefficients , This indicates that only the trend of increasing risk is considered.

[0025] It should be noted that: comprehensive risk score The calculation formula will reflect the acute risk score of the current instantaneous state. Trend risk score reflecting recent changes This combination allows the assessment to be based on the current situation while respecting historical trajectories. The formula means that only the trend of increased or worsening risk (TRS>0) is considered, while the trend of improvement (TRS≤0) is ignored. This is in line with the purpose of clinical early warning, which can focus on and warn of possible deterioration. For the situation of improvement, the alarm level can be kept under observation or reduced, which can effectively reduce redundant alarms and alarm fatigue.

[0026] In an optional embodiment, the calculation result of the comprehensive risk score is compared with the warning threshold to implement a graded warning, including the following steps: S61. Obtain a comprehensive risk score. The calculation results and the warning thresholds set in ascending order. , , Perform a comparison; S62, when At that time, there was no warning, and the display screen showed the data normally; when When a low-level warning is triggered: the border of the data area on the wrist-worn display screen flashes yellow, and the vibration motor vibrates briefly once; when When a medium-level warning is triggered: the border of the display data area flashes orange, the vibration motor vibrates intermittently, and the speaker emits a low-frequency, intermittent warning sound; when When this occurs, an advanced warning is triggered: the red highlight of the data area border on the display flashes, the vibration motor vibrates continuously and strongly, and the speaker emits a high-frequency continuous alarm sound.

[0027] In an optional embodiment, the wrist-worn display terminal is equipped with a confirmation button for medical personnel to confirm alarm information. The signal confirmed by the confirmation button can be transmitted back and recorded by the system.

[0028] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A wrist-worn real-time display and alarm notification vital sign monitoring and connection system, comprising a bedside monitor, a wireless data transmitter, and a wrist-worn display terminal, characterized in that, The wireless data transmitter is connected to the bedside monitor via a wired data interface to acquire vital sign parameters monitored by the bedside monitor in real time. After encapsulating and encrypting the acquired vital sign parameters, it is sent to the wrist-worn display terminal via a wireless network. The wrist-worn display terminal is worn by medical staff to wirelessly receive the vital sign parameters sent by the wireless data transmitter associated with it. It includes a display screen, a vibration motor, a speaker, and a processing unit. It also includes a multi-vital sign intelligent analysis and early warning module, which is integrated into the processing unit of the wrist-worn display terminal. This module is used to intelligently assess the received vital sign parameters and trigger graded early warnings, including the following steps: S1. Process the received vital signs parameters and remove abnormal data; S2. Based on processing, the risk value of the overall deviation of vital sign parameters from the living organism after removing outlier data. Perform calculations; Based on processing, the risk value of the overall deviation of vital sign parameters from the living organism after removing outlier data is calculated. The calculation includes the following steps: S21. First, let the vital signs parameter vector be... They represent heart rate Blood oxygen systolic blood pressure diastolic blood pressure respiratory rate Then define the normal range. Warning range Alarm range The normal range is included in the warning range, and the warning range is included in the alarm range. S22. Calculate the individual deviation of each vital sign parameter using a piecewise linear function. Individual deviation The calculation formula is: ; in, This is the lower limit of the warning range. This is the upper limit of the warning range. This is the lower limit of the alarm range. This is the upper limit of the alarm range. This is the lower limit of the extreme range. This represents the upper limit of the extreme range. S23, Based on Individual Deviation The calculation results show the overall deviation risk value of the living organism. Calculate the overall deviation risk value. The calculation formula is: ; in, Let be the preset weight coefficients for the i-th vital sign parameter vector, and ; S3, Risk Value Based on Overall Deviation The calculation results for acute risk score Perform evaluation calculations; S4, Based on Acute Risk Score Recent trends in trend risk score Perform calculations; S5, Based on Acute Risk Score Trend risk score Comprehensive risk score for the human body Perform calculations; S6. Comprehensive risk scoring The calculation results are compared with the warning threshold to implement tiered warnings.

2. The wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 1, characterized in that: The received vital sign parameters are processed to remove abnormal data, including the following steps: S11. Data quality index of received vital sign parameters Calculations are performed to assess the validity of critical data and the data quality index. The calculation formula is: in, For the number of valid data points, For the theoretical number of data points, when Data quality warnings are triggered at certain times; S12. Take the 8 most recent valid historical sample values ​​from the received vital signs parameters, calculate the mean μ and standard deviation σ, and if the current sample value exceeds... Then replace the outlier with the previous sampled value.

3. The wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 2, characterized in that: Vital signs parameters include heart rate Blood oxygen systolic blood pressure diastolic blood pressure respiratory rate .

4. The wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 3, characterized in that: Acute Risk Score The calculation formula is: ; in, , These are the weighting coefficients. This is the maximum value among all individual deviations of the parameters.

5. The wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 4, characterized in that: Trend Risk Score The calculation formula is: ; in, For the current moment value, For n adoption cycles before value, Within the most recent n adoption periods The standard deviation of the value , This is the trend sensitivity coefficient.

6. The wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 5, characterized in that: Comprehensive Risk Score The calculation formula is: ; in, To integrate weighting coefficients , This indicates that only the trend of increasing risk is considered.

7. A wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 6, characterized in that: Comprehensive risk score The calculation results are compared with the warning threshold to implement tiered warnings, including the following steps: S61. Obtain a comprehensive risk score. The calculation results and the warning thresholds set in ascending order , , Perform a comparison; S62, when At one time, there is no warning, and the display shows data normally; at another time, a low-level warning is triggered: the border of the data area on the wrist-worn display screen flashes yellow, and the vibration motor vibrates briefly once; when When a medium-level warning is triggered: the border of the display data area flashes orange, the vibration motor vibrates intermittently, and the speaker emits a low-frequency, intermittent warning sound; when When this occurs, an advanced warning is triggered: the red highlight of the data area border on the display flashes, the vibration motor vibrates continuously and strongly, and the speaker emits a high-frequency continuous alarm sound.

8. A wrist-worn real-time display and alarm prompt vital sign monitoring connection system according to claim 7, characterized in that: The wrist-worn display terminal is equipped with a confirmation button for medical staff to confirm alarm information. The signal confirmed by the confirmation button can be transmitted back and recorded by the system.