Portable arrhythmia alarm reminding device

Abstract

The invention discloses a portable arrhythmia alarm reminding device, and relates to the technical field of medical instruments. In order to solve the problems that the heart rate analysis process is still not accurate enough, evaluation cannot be carried out according to the current state and historical data of a user, the alarm is not accurate enough, and the user experience and the use effect are affected. A portable arrhythmia alarm reminding device comprises a heart rate detector, and the heart rate detector is composed of a monitoring chip, a sensing patch and a waistband. The heart rate data of a user is monitored in real time through the sensing patch, the sensing patch is attached to the heart part of the user, it is guaranteed that measured data are more accurate, good comfort and adaptability are provided through the elastic part, when arrhythmia is detected, the abnormity alarm can give out sound or vibration reminding, it is guaranteed that the user can find the arrhythmia in time and take corresponding measures, and the user experience is improved. A user can check more detailed data and analysis results on the intelligent terminal and obtain professional medical suggestions.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a portable arrhythmia alarm reminder device. Background Art

[0002] Arrhythmia is a common cardiovascular disease, and its timely detection and alarm are of great significance for preventing sudden cardiac events. Although the cardiac monitoring devices on the market can monitor arrhythmia, most of them are bulky, expensive, and inconvenient to carry and use. At the same time, these devices are often complicated to operate and require professional medical staff to operate, and the threshold for use is high for ordinary users. Now about a portable arrhythmia alarm reminder device, a Chinese patent with publication number CN114999105B discloses a portable arrhythmia alarm reminder device, including a housing and a monitoring unit installed on the housing, the monitoring unit includes a wireless connection module, a control module, an alarm module and a power supply module, the portable arrhythmia alarm reminder device also includes an anti-fall component installed on the housing, the anti-fall component includes a movable rod, a guard plate, a first spring and a limit mechanism, the limit mechanism includes a ratchet, a second spring, a turntable and a traction rope, the patent sets a housing and a monitoring unit, when the monitor alarms, the signal is transmitted to the wireless connection module, the wireless connection module transmits the signal to the control module, the control module controls the alarm module to work, and reminds the medical staff in time.

[0003] Although the above patent solves the problem that most cardiac monitoring devices on the market are bulky, expensive, and inconvenient to carry and use, it is still not accurate enough in the heart rate analysis process and cannot be evaluated based on the user's current status and historical data, resulting in inaccurate alarms, affecting the user experience and usage effects. Summary of the invention

[0004] The purpose of the present invention is to provide a portable arrhythmia alarm reminder device, which monitors the user's heart rate data in real time through a sensor patch. When an arrhythmia is detected, the abnormal alarm will emit a sound or vibration reminder to ensure that the user can discover it in time and take corresponding measures. The user can view more detailed data and analysis results on the smart terminal and obtain professional medical advice to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A portable arrhythmia alarm reminder device includes a heart rate detector, which is composed of a monitoring chip, a sensor patch and a waist belt. The two sides of the monitoring chip are fixedly connected to the two ends of the waist belt. The two sides of the monitoring chip are provided with card slots for detaching the waist belt. The sensor patch is electrically connected to the monitoring chip through a wire, and the monitoring chip transmits data with an intelligent terminal based on wireless signals.

[0007] Furthermore, a display screen, a control screen and an abnormal alarm are respectively arranged on the surface of the monitoring chip, an elastic part is arranged on the waist belt, a sensing part and an anti-slip part are arranged on one side of the sensor patch, and anti-slip bumps are evenly distributed on the surface of the anti-slip part.

[0008] Furthermore, the monitoring chip comprises:

[0009] The data acquisition unit is used to collect raw ECG data from the sensor patch, digitize the raw ECG data, extract valid ECG signals, and transmit the collected raw ECG data to the smart terminal based on wireless signals;

[0010] The abnormal monitoring unit is used to detect arrhythmia based on the user's historical data and the real-time collected ECG signal, determine whether the user has arrhythmia, obtain abnormal monitoring results, and transmit the user's abnormal monitoring results to the smart terminal based on wireless signals;

[0011] an arrhythmia alarm unit, used for matching a corresponding alarm instruction based on the abnormal monitoring result, and controlling an abnormal alarm device to issue an abnormal alarm based on the alarm instruction;

[0012] The charging and discharging unit is used to obtain the remaining power of the rechargeable battery in real time, issue a low-power reminder when the remaining power is lower than the preset threshold, and provide charging and discharging management for the monitoring chip;

[0013] The equipment monitoring unit is used to obtain the working data of the sensor patch and the monitoring chip in real time, determine whether the status of the sensor patch and the monitoring chip is abnormal, and transmit the judgment result to the smart terminal based on the wireless signal;

[0014] The device supervision unit is also used to manage user-related data and provide an interactive user interface and API interface.

[0015] Furthermore, the data acquisition unit comprises:

[0016] A data reading module, used for receiving analog ECG signals from the sensor patch and converting the received analog ECG signals into digital signals according to a preset sampling rate and resolution;

[0017] A data processing module is used to receive the digital signal from the data reading module, perform preprocessing operations on the digital signal, extract key ECG features from the preprocessed signal, extract effective ECG signals from the digital signal based on the extracted ECG features, and evaluate the electrical activity state of the heart;

[0018] The data storage module is used to locally store the original ECG data and characteristic data, manage the stored data, and transmit the stored data to the smart terminal based on wireless signals.

[0019] Furthermore, the data acquisition unit further includes:

[0020] A first real-time monitoring module is used to monitor in real time the processing time of the digital signal corresponding to each ECG signal by the data processing module;

[0021] The data processing time length fluctuation parameter acquisition module is used to acquire the data processing time length fluctuation parameter according to the processing time length of the digital signal corresponding to each electrocardiogram signal corresponding to the data processing module, wherein the data processing time length fluctuation parameter is acquired by the following formula:

[0022]

[0023] Where B represents the fluctuation parameter of data processing time; n represents the number of data processing times of the data processing module; C i represents the data volume of the ECG signal corresponding to the i-th data processing; C i-1 represents the amount of data corresponding to the i-1th data processing; T i represents the data processing time corresponding to the i-th data processing; T i-1 represents the data processing time corresponding to the i-1th data processing; R i represents the amount of redundant data included in the amount of data processed of the received ECG signal corresponding to the i-th data processing;

[0024] A comparison module, used for comparing the data processing time fluctuation parameter with a preset fluctuation parameter threshold;

[0025] The abnormality determination module is used to monitor the operation state of the data processing module and determine abnormalities when the data processing duration fluctuation parameter is lower than a preset fluctuation parameter threshold.

[0026] Furthermore, the abnormality determination module includes:

[0027] A second real-time monitoring module is used to monitor the processor speed, memory utilization and cache space utilization of the processor corresponding to the data processing module in real time when the data processing duration fluctuation parameter is lower than a preset fluctuation parameter threshold;

[0028] The speed parameter acquisition module is used to obtain the speed parameter using the processor speed; wherein the speed parameter is obtained by the following formula:

[0029]

[0030] Among them, S v represents the speed parameter; n represents the number of data processing times of the data processing module; C i represents the data volume of the ECG signal corresponding to the i-th data processing; C i-1 represents the amount of data corresponding to the i-1th data processing; T i represents the data processing time corresponding to the i-th data processing; T i-1 V represents the data processing time corresponding to the i-1th data processing; i V represents the operating speed of the processor corresponding to the data processing module of the i-th data processing; i-1 represents the operating speed of the processor corresponding to the data processing module of the i-1th data processing;

[0031] The resource parameter acquisition module is used to obtain resource parameters using the memory utilization and cache space utilization; wherein the resource parameters are obtained by the following formula:

[0032]

[0033] Among them, S z represents resource parameters; n represents the number of data processing times of the data processing module; P ni and P hi represents the memory utilization and cache space utilization corresponding to the i-th data processing;

[0034] The operation evaluation parameter acquisition module is used to obtain the operation evaluation parameters of the data processing module using the speed parameter and the resource parameter; wherein the operation evaluation parameters are obtained by the following formula:

[0035]

[0036] Where S represents the operation evaluation parameter; S v Indicates speed parameter; S z Indicates resource parameters;

[0037] The abnormality determination and alarm module is used to determine that the data processing module has an operational abnormality and issue an abnormality alarm when the operational evaluation parameter is lower than a preset evaluation parameter threshold.

[0038] Furthermore, the abnormality monitoring unit includes:

[0039] A data comparison module is used to compare the user's historical data with the real-time collected ECG signal, and to detect arrhythmia based on the user's current cardiac electrical activity state;

[0040] The arrhythmia judgment module is used to receive the detection results of the data comparison module, analyze the detection results according to the preset arrhythmia judgment standard, judge whether the user has arrhythmia, generate abnormal monitoring results, and trigger the arrhythmia alarm unit to alarm.

[0041] Furthermore, the data comparison module is specifically:

[0042] Extracting historical electrocardiogram data consistent with the electrical activity state of the heart from historical data according to the effective electrocardiogram signal;

[0043] Based on the historical ECG data, obtain the heart rate pattern corresponding to the historical heart electrical activity state of the user, obtain the maximum heart rate threshold of the historical ECG data under the historical heart electrical activity state of the user and the maximum continuous time within the maximum heart rate threshold;

[0044] At the same time, based on the maximum heart rate threshold and the maximum continuous duration within the maximum heart rate threshold, determining the change rule of the heart rate and continuous duration of the historical electrocardiogram data, and based on the change rule, determining the heart rate threshold corresponding to each moment within the continuous duration;

[0045] The valid ECG signal is compared to see whether it conforms to the variation rule. If not, the abnormal moment of the user is extracted, and an alarm of corresponding level is performed based on the difference between the heart rate threshold corresponding to the abnormal moment and the variation rule.

[0046] Furthermore, the charging and discharging unit further includes:

[0047] Determine the remaining power in the rechargeable battery, and at the same time, obtain the current temperature parameter of the rechargeable battery, and correct the determined remaining power based on a preset temperature power change curve to obtain a target remaining power of the rechargeable battery;

[0048] Acquiring a battery capacity of the rechargeable battery, and determining a target charge amount for the rechargeable battery based on the battery capacity of the rechargeable battery and a target remaining power;

[0049] Based on the wireless signal, the power value of the rechargeable battery at each moment during the charging time is synchronously displayed on the smart terminal.

[0050] Furthermore, the intelligent terminal includes:

[0051] The data analysis module is used to extract user health data from the acquired user related data, perform cluster analysis on the user health data, and obtain various user evaluation data sets;

[0052] The health assessment module is used to build a health assessment model, input the user assessment data set into the health assessment model for calculation, and quantify the user's current health status;

[0053] The medical-side interconnection module is used to send user health data and health assessment results to the medical-side APP. Doctors can remotely view patient data based on the medical-side APP, make diagnoses, and customize treatment plans.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1. The sensor patch monitors the user's heart rate data in real time and fits the user's heart to ensure that the measured data is more accurate. The design of the waistband makes the monitoring chip easy to wear, and the elastic part provides good comfort and adaptability, which is suitable for users of different body shapes and waist circumferences. When arrhythmia is detected, the abnormal alarm will sound or vibrate to remind the user to discover it in time and take corresponding measures. The user can view more detailed data and analysis results on the smart terminal and get professional medical advice.

[0056] 2. Through the data acquisition unit and data processing module, the device can accurately collect and process raw ECG data from the sensor patch and extract key ECG features, so as to more accurately evaluate the electrical activity state of the heart and achieve accurate arrhythmia detection. The abnormality monitoring unit and the arrhythmia alarm unit can monitor the user's ECG signals in real time and quickly trigger an alarm when an arrhythmia is detected, helping the user to take timely measures to avoid possible health risks. The charging and discharging unit corrects the remaining power by considering the temperature parameters of the rechargeable battery, thereby more accurately predicting the battery life and performance, and synchronously displays the charging status through wireless signals to enhance the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is an axonometric diagram of the portable arrhythmia alarm reminder device of the present invention;

[0058] Figure 2 This is an axonometric diagram of the monitoring chip of the present invention;

[0059] Figure 3 This is a diagram of the monitoring chip module of the present invention.

[0060] In the figure: 1. heart rate monitor; 11. monitoring chip; 111. display screen; 112. control screen; 113. abnormal alarm; 12. sensor patch; 121. sensor part; 122. anti-slip part; 123. anti-slip protrusion; 13. waist belt; 131. elastic part. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] In order to solve the problem that the heart rate analysis process is still not accurate enough, it is impossible to evaluate based on the user's current status and historical data, resulting in inaccurate alarms, which affects the user experience and usage effect. Figure 1-3 , this embodiment provides the following technical solutions:

[0063] A portable arrhythmia alarm reminder device includes a heart rate detector 1, which is composed of a monitoring chip 11, a sensor patch 12 and a waist belt 13. A display screen 111, a control screen 112 and an abnormal alarm 113 are respectively arranged on the surface of the monitoring chip 11, two sides of the monitoring chip 11 are fixedly connected to two ends of the waist belt 13, and two sides of the monitoring chip 11 are provided with clamping grooves for detaching the waist belt 13, so that the detachment of the waist belt 13 becomes simple and convenient, and it is convenient for users to clean and maintain it after use. An elastic part 131 is arranged on the waist belt 13, and the waist belt 13 is worn on the waist and abdomen of a human body through the elastic part 131. The sensor patch 12 is electrically connected to the monitoring chip 11 through a wire, and the monitoring chip 11 transmits data with an intelligent terminal based on a wireless signal. A sensor part 121 and an anti-skid part 122 are arranged on one side of the sensor patch 12, and anti-skid bumps 123 are evenly distributed on the surface of the anti-skid part 122.

[0064] In this embodiment, the user's heart rate data is monitored in real time by the sensor patch 12, which fits the user's heart area to ensure that the measured data is more accurate. The sensor part 121 ensures the accuracy and sensitivity of the data, while the anti-slip part 122 and the anti-slip bumps 123 on its surface ensure that the sensor patch can be stably attached to the skin, reducing sliding caused by exercise or daily activities, thereby improving the accuracy of detection. The design of the waist belt 13 makes the monitoring chip 11 easy to wear, and provides good comfort and adaptability through the elastic part 131, which is suitable for users of different body shapes and waist circumferences. The display screen 111 can intuitively display the user's heart rate data, and the control screen 112 allows the user to perform simple operations, such as setting alarm thresholds, viewing historical data, etc. When arrhythmia is detected, the abnormal alarm 113 will emit a sound or vibration reminder to ensure that the user can discover and take corresponding measures in time. The user can view more detailed data and analysis results on the smart terminal, set personalized detection plans, view historical data, receive health reports, etc. through the smart terminal, and obtain professional medical advice.

[0065] In this embodiment, the monitoring chip 11 includes:

[0066] The data acquisition unit is used to collect raw ECG data from the sensor patch 12, digitize the raw ECG data, extract valid ECG signals, and transmit the collected raw ECG data to the smart terminal based on wireless signals, including:

[0067] A data reading module, used for receiving an analog ECG signal from the sensor patch 12, and converting the received analog ECG signal into a digital signal according to a preset sampling rate and resolution;

[0068] A data processing module is used to receive the digital signal from the data reading module, perform pre-processing operations such as filtering, amplification, and noise reduction on the digital signal, extract key ECG features such as P wave, QRS complex, T wave, etc. from the pre-processed signal, extract effective ECG signals from the digital signal based on the extracted ECG features, and evaluate the electrical activity state of the heart;

[0069] In this embodiment, through the data acquisition unit and the data processing module, the device can accurately collect and process raw ECG data from the sensor patch, extract key ECG features, and thus more accurately evaluate the electrical activity state of the heart. The abnormality monitoring unit and the arrhythmia alarm unit can monitor the user's ECG signals in real time and quickly trigger an alarm when an arrhythmia is detected, which helps the user take timely measures to avoid possible health risks.

[0070] The data storage module is used to store the original ECG data and feature data locally and manage the stored data, including data indexing, querying, deleting and other operations. At the same time, the stored data is transmitted to the smart terminal based on wireless signals.

[0071] The abnormal monitoring unit is used to detect arrhythmia based on the user's historical data and the real-time collected ECG signal, determine whether the user has arrhythmia, obtain abnormal monitoring results, and transmit the user's abnormal monitoring results to the smart terminal based on wireless signals;

[0072] an arrhythmia alarm unit, used for matching a corresponding alarm instruction based on the abnormal monitoring result, and controlling the abnormal alarm 113 to issue an abnormal alarm based on the alarm instruction;

[0073] The charging and discharging unit is used to obtain the remaining power of the rechargeable battery in real time, issue a low power reminder when the remaining power is lower than a preset threshold, and provide charging and discharging management for the monitoring chip 11;

[0074] In this embodiment, the charging and discharging unit further includes:

[0075] Determine the remaining power in the rechargeable battery, and at the same time, obtain the current temperature parameter of the rechargeable battery, and correct the determined remaining power based on a preset temperature power change curve to obtain a target remaining power of the rechargeable battery;

[0076] Acquiring a battery capacity of the rechargeable battery, and determining a target charge amount for the rechargeable battery based on the battery capacity of the rechargeable battery and a target remaining power;

[0077] Based on the wireless signal, the power value of the rechargeable battery at each moment during the charging time is synchronously displayed on the smart terminal;

[0078] In this embodiment, the data storage module can not only store the original ECG data and characteristic data locally, but also transmit the data to the smart terminal based on wireless signals, so that users can view their health data anytime and anywhere, and doctors can also remotely access these data to provide users with more professional medical advice. The charging and discharging unit corrects the remaining power by considering the temperature parameters of the rechargeable battery, thereby more accurately predicting the life and performance of the rechargeable battery. The corresponding power value of the rechargeable battery at each moment during the charging time is synchronously displayed through wireless signals, so that users can understand the charging status of the battery more intuitively.

[0079] The equipment monitoring unit is used to obtain the working data of the sensor patch 12 and the monitoring chip 11 in real time, determine whether the status of the sensor patch 12 and the monitoring chip 11 is abnormal, and transmit the judgment result to the smart terminal based on the wireless signal;

[0080] The device supervision unit is also used to manage user-related data, including basic user information, device configuration parameters, historical operation data, etc., and provides an interactive user interface and API interface to facilitate users to query and modify their own data.

[0081] In this embodiment, the device supervision unit can monitor the working status of the sensor patch and the monitoring chip in real time to ensure the normal operation of the device. At the same time, by managing user-related data and providing an interactive user interface and API interface, users can easily query and modify their own data, thereby enhancing user experience and user friendliness. By connecting to smart terminals, remote monitoring and medical support can be achieved. Doctors or family members can remotely view the user's ECG data and health status, provide timely medical advice or take corresponding measures, and provide users with comprehensive and effective health monitoring and alarm services.

[0082] Specifically, the data acquisition unit further includes:

[0083] A first real-time monitoring module is used to monitor in real time the processing time of the digital signal corresponding to each ECG signal by the data processing module;

[0084] The data processing time length fluctuation parameter acquisition module is used to acquire the data processing time length fluctuation parameter according to the processing time length of the digital signal corresponding to each electrocardiogram signal corresponding to the data processing module, wherein the data processing time length fluctuation parameter is acquired by the following formula:

[0085]

[0086] Where B represents the data processing time fluctuation parameter; n represents the number of data processing times of the data processing module; C i represents the data volume of the ECG signal corresponding to the i-th data processing; C i-1 represents the amount of data corresponding to the i-1th data processing; T i represents the data processing time corresponding to the i-th data processing; T i-1 represents the data processing time corresponding to the i-1th data processing; R i represents the amount of redundant data contained in the data processing amount of the received ECG signal corresponding to the i-th data processing;

[0087] A comparison module, used for comparing the data processing time fluctuation parameter with a preset fluctuation parameter threshold;

[0088] The abnormality determination module is used to monitor the operation state of the data processing module and determine abnormality when the data processing duration fluctuation parameter is lower than a preset fluctuation parameter threshold.

[0089] The technical effect of the above technical solution is: through the first real-time monitoring module, the technical solution can monitor in real time the processing time of each ECG signal after it is converted into a digital signal by the data processing module. This real-time monitoring capability enables the system to timely understand the performance of the data processing module and provide basic data for subsequent performance evaluation and abnormality detection.

[0090] The data processing time fluctuation parameter acquisition module uses a complex calculation formula to comprehensively consider multiple factors such as the number of data processing times, the amount of data processed each time, the processing time, and the amount of redundant data, and accurately quantifies the fluctuation of data processing time. This quantification method helps to more accurately reflect the stability and efficiency changes of the data processing module.

[0091] The combined use of the comparison module and the anomaly determination module realizes the intelligent analysis of the fluctuation parameters of the data processing time. When the fluctuation parameters of the data processing time are detected to be lower than the preset fluctuation parameter threshold, the system can automatically monitor the operating status of the data processing module and determine the anomaly. This automated and intelligent anomaly detection mechanism can timely discover and handle potential problems and improve the stability and reliability of the system.

[0092] Through real-time monitoring of data processing time and abnormality determination, this technical solution helps to find bottlenecks and unreasonable aspects in the data processing process. Based on these data, the data processing module can be optimized and improved to improve data processing efficiency and accuracy, thereby further improving the performance of the entire system.

[0093] This technical solution provides a systematic method to monitor and evaluate the performance of data processing modules, making system maintenance and optimization more reliable and rule-based. This helps reduce system maintenance costs and improve system maintainability and scalability.

[0094] In summary, this technical solution significantly improves the performance stability and reliability of the data processing module through real-time monitoring, precise quantification, intelligent judgment and optimization and improvement, providing a strong guarantee for the stable operation of the entire system.

[0095] Specifically, the abnormality determination module includes:

[0096] A second real-time monitoring module is used to monitor the processor speed, memory utilization and cache space utilization of the processor corresponding to the data processing module in real time when the data processing duration fluctuation parameter is lower than a preset fluctuation parameter threshold;

[0097] The speed parameter acquisition module is used to obtain the speed parameter using the processor speed; wherein the speed parameter is obtained by the following formula:

[0098]

[0099] Among them, S v represents the speed parameter; n represents the number of data processing times of the data processing module; C i represents the data volume of the ECG signal corresponding to the i-th data processing; C i-1 represents the amount of data corresponding to the i-1th data processing; T i represents the data processing time corresponding to the i-th data processing; T i-1 V represents the data processing time corresponding to the i-1th data processing; i V represents the operating speed of the processor corresponding to the data processing module of the i-th data processing; i-1 represents the operating speed of the processor corresponding to the data processing module of the i-1th data processing;

[0100] The resource parameter acquisition module is used to obtain resource parameters using the memory utilization and cache space utilization; wherein the resource parameters are obtained by the following formula:

[0101]

[0102] Among them, S z represents resource parameters; n represents the number of data processing times of the data processing module; P ni and P hi represents the memory utilization and cache space utilization corresponding to the i-th data processing;

[0103] The operation evaluation parameter acquisition module is used to obtain the operation evaluation parameters of the data processing module using the speed parameter and the resource parameter; wherein the operation evaluation parameters are obtained by the following formula:

[0104]

[0105] Where S represents the operation evaluation parameter; S v Indicates speed parameter; S z Indicates resource parameters;

[0106] The abnormality determination and alarm module is used to determine that the data processing module has an operational abnormality and issue an abnormality alarm when the operational evaluation parameter is lower than a preset evaluation parameter threshold.

[0107] The technical effect of the above technical solution is: when the data processing time fluctuation parameter is lower than the preset threshold, the key performance indicators of the processor (such as processor speed, memory utilization and cache space utilization) are further monitored through the second real-time monitoring module. This fine-grained monitoring can more accurately reflect the operating status of the data processing module and help to discover potential anomalies or performance bottlenecks.

[0108] The speed parameter acquisition module and resource parameter acquisition module respectively use complex calculation formulas to comprehensively consider multiple factors such as data processing times, data volume, processing time, processor speed, memory utilization, and cache space utilization, and quantify speed parameters and resource parameters. These two parameters together reflect the comprehensive performance of the data processing module.

[0109] The operation evaluation parameter acquisition module combines the speed parameter and the resource parameter and calculates the operation evaluation parameter through a certain algorithm (such as weighted average, linear combination, etc.). This parameter provides a scientific basis for evaluating the overall operation status of the data processing module.

[0110] When the operating evaluation parameters are lower than the preset evaluation parameter threshold, the abnormality judgment and alarm module can quickly determine that the data processing module has an operating abnormality and trigger the alarm mechanism. This timely abnormality judgment and alarm helps to quickly respond to and solve the problem, avoiding further deterioration of system performance.

[0111] Through the implementation of the above technical solutions, potential problems in the data processing module can be discovered and handled in a timely manner, thereby improving the stability and reliability of the system. This helps to ensure that the system can run continuously and efficiently and meet the user's needs for data processing.

[0112] This technical solution provides an effective tool for system operation and maintenance personnel, enabling them to timely discover and optimize bottlenecks and unreasonable aspects in the system by monitoring and analyzing the operating status of the data processing module. This helps reduce the system's operation and maintenance costs and improve the system's maintainability and scalability.

[0113] In summary, this technical solution significantly improves the operational stability and reliability of the data processing module through fine-grained anomaly monitoring, comprehensive performance evaluation, scientific operation evaluation, and timely anomaly judgment and alarm, providing a strong guarantee for the stable operation of the system.

[0114] In this embodiment, the abnormality monitoring unit includes:

[0115] The data comparison module is used to compare the user's historical data with the real-time collected ECG signals and to detect arrhythmias based on the user's current cardiac electrical activity state. Specifically:

[0116] Extracting historical electrocardiogram data consistent with the electrical activity state of the heart from historical data according to the effective electrocardiogram signal;

[0117] Based on the historical ECG data, obtain the heart rate pattern corresponding to the historical heart electrical activity state of the user, obtain the maximum heart rate threshold of the historical ECG data under the historical heart electrical activity state of the user and the maximum continuous time within the maximum heart rate threshold;

[0118] At the same time, based on the maximum heart rate threshold and the maximum continuous duration within the maximum heart rate threshold, determining the change rule of the heart rate and continuous duration of the historical electrocardiogram data, and based on the change rule, determining the heart rate threshold corresponding to each moment within the continuous duration;

[0119] Comparing the valid ECG signal to see if it conforms to the variation rule, if not, extracting the abnormal moment of the user, and performing an alarm of a corresponding level based on the difference between the heart rate threshold corresponding to the abnormal moment and the variation rule;

[0120] The arrhythmia judgment module is used to receive the detection results of the data comparison module, analyze the detection results according to the preset arrhythmia judgment standard, judge whether the user has arrhythmia, generate abnormal monitoring results, and trigger the arrhythmia alarm unit to alarm.

[0121] In this embodiment, by extracting the user's historical ECG data and obtaining the heart rate pattern corresponding to the historical cardiac electrical activity state, personalized monitoring of the user's cardiac electrical activity state is achieved, which can more accurately reflect the user's health status and improve the pertinence and effectiveness of monitoring. Based on the changing pattern of heart rate and continuous duration of historical ECG data, the data comparison module can determine the heart rate threshold corresponding to each moment in the continuous duration, making monitoring more flexible and accurate, and able to detect abnormal ECG signals in time. The multi-level alarm mechanism enables users to understand their health status in time and take corresponding measures. According to the preset arrhythmia judgment standard, the detection results of the data comparison module are accurately analyzed to determine whether the user has arrhythmia. The judgment method based on professional medical standards makes the monitoring results more authoritative and reliable, which can provide users with better health protection and enhance users' trust and satisfaction.

[0122] In this embodiment, the intelligent terminal includes:

[0123] The data analysis module is used to extract user health data from the acquired user data, including physiological parameters such as blood pressure, heart rate, body temperature, respiration, blood sugar, etc., activity information such as number of steps, sleep, diet, etc., and other health information, and perform cluster analysis on user health data to obtain various user evaluation data sets;

[0124] The health assessment module is used to build a health assessment model, input the user assessment data set into the health assessment model for calculation, quantify the user's current health status, discover potential health problems in a timely manner, and take appropriate measures to intervene, which can help users understand their health status. At the same time, these results can also provide important reference information for doctors, helping them to formulate treatment plans and health management plans more accurately;

[0125] The medical-side interconnection module is used to send user health data and health assessment results to the medical-side APP, realizing remote communication and collaboration between doctors and patients. Doctors can remotely view patient data based on the medical-side APP, make diagnoses, and customize treatment plans.

[0126] In this embodiment, by performing cluster analysis on user health data, a user evaluation data set can be formed to provide strong support for subsequent health evaluations. By continuously monitoring and analyzing user health data, the smart terminal can promptly detect potential health problems and intervene. At the same time, when the user's health condition is abnormal, the smart terminal can also issue an early warning in time to remind the user to take corresponding measures. Users can view their health data and evaluation results anytime and anywhere, communicate with doctors remotely, and enjoy more convenient and personalized health management services, which not only improves the efficiency of medical services, but also reduces patients' medical costs.

[0127] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A portable arrhythmia alarm reminder device, comprising a heart rate detector (1), characterized in that: The heart rate detector (1) is composed of a monitoring chip (11), a sensor patch (12) and a waist belt (13); the two sides of the monitoring chip (11) are fixedly connected to the two ends of the waist belt (13); the two sides of the monitoring chip (11) are provided with snap-in slots for detaching the waist belt (13); the sensor patch (12) is electrically connected to the monitoring chip (11) via a wire; and the monitoring chip (11) performs data transmission with an intelligent terminal based on wireless signals.

2. A portable arrhythmia alarm reminder device as claimed in claim 1, characterized in that: The monitoring chip (11) is provided with a display screen (111), a control screen (112) and an abnormal alarm (113) on its surface, the waist belt (13) is provided with an elastic portion (131), one side of the sensor patch (12) is provided with a sensing portion (121) and an anti-slip portion (122), and the surface of the anti-slip portion (122) is evenly distributed with anti-slip bumps (123).

3. A portable arrhythmia alarm reminder device as claimed in claim 2, characterized in that: The monitoring chip (11) comprises: A data acquisition unit, used to collect raw ECG data from the sensor patch (12), digitize the raw ECG data, extract valid ECG signals, and transmit the collected raw ECG data to an intelligent terminal based on wireless signals; The abnormal monitoring unit is used to detect arrhythmia based on the user's historical data and the real-time collected ECG signal, determine whether the user has arrhythmia, obtain abnormal monitoring results, and transmit the user's abnormal monitoring results to the smart terminal based on wireless signals; an arrhythmia alarm unit, used for matching a corresponding alarm instruction based on the abnormal monitoring result, and controlling an abnormal alarm (113) to issue an abnormal alarm based on the alarm instruction; A charging and discharging unit, used to obtain the remaining power of the rechargeable battery in real time, and to issue a low power reminder when the remaining power is lower than a preset threshold, thereby providing charging and discharging management for the monitoring chip (11); The device monitoring unit is used to obtain the working data of the sensor patch (12) and the monitoring chip (11) in real time, judge whether the status of the sensor patch (12) and the monitoring chip (11) is abnormal, and transmit the judgment result to the intelligent terminal based on the wireless signal; The device supervision unit is also used to manage user-related data and provide an interactive user interface and API interface.

4. A portable arrhythmia alarm reminder device as claimed in claim 3, characterized in that: Data acquisition unit, including: A data reading module, used for receiving an analog electrocardiogram signal from the sensor patch (12), and converting the received analog electrocardiogram signal into a digital signal according to a preset sampling rate and resolution; A data processing module is used to receive the digital signal from the data reading module, perform preprocessing operations on the digital signal, extract key ECG features from the preprocessed signal, extract effective ECG signals from the digital signal based on the extracted ECG features, and evaluate the electrical activity state of the heart; The data storage module is used to locally store the original ECG data and characteristic data, manage the stored data, and transmit the stored data to the smart terminal based on wireless signals.

5. A portable arrhythmia alarm reminder device as claimed in claim 4, characterized in that: The data acquisition unit also includes: A first real-time monitoring module is used to monitor in real time the processing time of the digital signal corresponding to each ECG signal by the data processing module; The data processing time length fluctuation parameter acquisition module is used to acquire the data processing time length fluctuation parameter according to the processing time length of the digital signal corresponding to each electrocardiogram signal corresponding to the data processing module, wherein the data processing time length fluctuation parameter is acquired by the following formula: Where B represents the data processing time fluctuation parameter; n represents the number of data processing times of the data processing module; C i represents the data volume of the ECG signal corresponding to the i-th data processing; C i-1 represents the amount of data corresponding to the i-1th data processing; T i represents the data processing time corresponding to the i-th data processing; T i-1 represents the data processing time corresponding to the i-1th data processing; R i represents the amount of redundant data contained in the data processing amount of the received ECG signal corresponding to the i-th data processing; A comparison module, used for comparing the data processing time fluctuation parameter with a preset fluctuation parameter threshold; The abnormality determination module is used to monitor the operation state of the data processing module and determine abnormality when the data processing duration fluctuation parameter is lower than a preset fluctuation parameter threshold.

6. A portable arrhythmia alarm reminder device as claimed in claim 5, characterized in that: The abnormality determination module includes: A second real-time monitoring module is used to monitor the processor speed, memory utilization and cache space utilization of the processor corresponding to the data processing module in real time when the data processing duration fluctuation parameter is lower than a preset fluctuation parameter threshold; The speed parameter acquisition module is used to obtain the speed parameter using the processor speed; wherein the speed parameter is obtained by the following formula: Among them, S v represents the speed parameter; n represents the number of data processing times of the data processing module; C i represents the data volume of the ECG signal corresponding to the i-th data processing; C i-1 represents the amount of data corresponding to the i-1th data processing; T i represents the data processing time corresponding to the i-th data processing; T i-1 V represents the data processing time corresponding to the i-1th data processing; i V represents the operating speed of the processor corresponding to the data processing module of the i-th data processing; i-1 represents the operating speed of the processor corresponding to the data processing module of the i-1th data processing; The resource parameter acquisition module is used to obtain resource parameters using the memory utilization and cache space utilization; wherein the resource parameters are obtained by the following formula: Among them, S z represents resource parameters; n represents the number of data processing times of the data processing module; P ni and P hi represents the memory utilization and cache space utilization corresponding to the i-th data processing; The operation evaluation parameter acquisition module is used to obtain the operation evaluation parameters of the data processing module using the speed parameter and the resource parameter; wherein the operation evaluation parameters are obtained by the following formula: Where S represents the operation evaluation parameter; S v Indicates speed parameter; S z Indicates resource parameters; The abnormality determination and alarm module is used to determine that the data processing module has an operational abnormality and issue an abnormality alarm when the operational evaluation parameter is lower than a preset evaluation parameter threshold.

7. A portable arrhythmia alarm reminder device as claimed in claim 4, characterized in that: Abnormal monitoring unit, including: A data comparison module is used to compare the user's historical data with the real-time collected ECG signal, and to detect arrhythmia based on the user's current cardiac electrical activity state; The arrhythmia judgment module is used to receive the detection results of the data comparison module, analyze the detection results according to the preset arrhythmia judgment standard, judge whether the user has arrhythmia, generate abnormal monitoring results, and trigger the arrhythmia alarm unit to alarm.

8. A portable arrhythmia alarm reminder device as claimed in claim 7, characterized in that: The data comparison module is specifically: Extracting historical electrocardiogram data consistent with the electrical activity state of the heart from historical data according to the effective electrocardiogram signal; Based on the historical ECG data, obtain the heart rate pattern corresponding to the historical heart electrical activity state of the user, obtain the maximum heart rate threshold of the historical ECG data under the historical heart electrical activity state of the user and the maximum continuous time within the maximum heart rate threshold; At the same time, based on the maximum heart rate threshold and the maximum continuous duration within the maximum heart rate threshold, determining the change rule of the heart rate and continuous duration of the historical electrocardiogram data, and based on the change rule, determining the heart rate threshold corresponding to each moment within the continuous duration; The valid ECG signal is compared to see whether it conforms to the variation rule. If not, the abnormal moment of the user is extracted, and an alarm of corresponding level is performed based on the difference between the heart rate threshold corresponding to the abnormal moment and the variation rule.

9. A portable arrhythmia alarm reminder device as claimed in claim 8, characterized in that: The charging and discharging unit further includes: Determine the remaining power in the rechargeable battery, and at the same time, obtain the current temperature parameter of the rechargeable battery, and correct the determined remaining power based on a preset temperature power change curve to obtain a target remaining power of the rechargeable battery; Acquiring a battery capacity of the rechargeable battery, and determining a target charge amount for the rechargeable battery based on the battery capacity of the rechargeable battery and a target remaining power; Based on the wireless signal, the power value of the rechargeable battery at each moment during the charging time is synchronously displayed on the smart terminal.

10. A portable arrhythmia alarm reminder device as claimed in claim 9, characterized in that: The intelligent terminal comprises: The data analysis module is used to extract user health data from the acquired user related data, perform cluster analysis on the user health data, and obtain various user evaluation data sets; The health assessment module is used to build a health assessment model, input the user assessment data set into the health assessment model for calculation, and quantify the user's current health status; The medical-side interconnection module is used to send user health data and health assessment results to the medical-side APP. Doctors can remotely view patient data based on the medical-side APP, make diagnoses, and customize treatment plans.

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