CN117095509A - Old health data analysis system - Google Patents

Abstract

The application discloses an senile health data analysis system in the field of senile health, which comprises a first monitoring module and a second monitoring module, wherein the first monitoring module is a monitoring bracelet, a monitoring assembly is arranged in the monitoring bracelet, and the second monitoring module comprises a charging base, a camera and a loudspeaker. The processor is utilized to analyze the position information and the living habit and the activity track of the old, and the system can judge whether the old has an intention of going out. When the old person has the intention of going out and the monitoring bracelet is charging, the processor can transmit relevant information to the charging base, so that the charging base can rapidly charge the monitoring bracelet, and the old person can use the monitoring bracelet for a long time when going out. Otherwise, the processor can inform the charging base to carry out slow charging, so as to protect the service life of the battery and prolong the service time. Therefore, the monitoring bracelet and the camera are utilized to continuously monitor the health of the old, the integrity of the health data of the old is improved, and more accurate and comprehensive data analysis and evaluation are provided.

Description

Old health data analysis system

Technical Field

The application belongs to the field of senile health, and particularly relates to a senile health data analysis system.

Background

With the increasing of living standard, the importance of the environment to the health of the human body is gradually concerned, and particularly for the retired old people, the time of the living in home is far longer than that of working staff, the old people select the living room environment more strictly, and diseases can be caused by slight changes of the environment temperature and the air. In order to detect and control environmental parameters in real time, various environmental monitors, such as an air detector, a temperature detector, etc., are utilized to monitor environmental states in real time, and construction of a living room environmental monitoring system has been widely used in life. For specific old people, the monitoring of living environment is incomplete, the existing environment monitoring system is required to be improved in pertinence, the development of network technology is combined, an environment and personal state can be monitored in real time, intelligent analysis, judgment and communication monitoring alarm system can be made according to the monitoring result, the system not only can realize the functions of real-time monitoring, data transmission and alarm, but also can analyze according to measurement data and send various suggestions to a client according to the analysis result, and reference is provided for various adjustment operations of a user.

To achieve the above objective, chinese patent publication No. CN105894729a discloses a health status monitoring system for the elderly and health status monitoring system software for the elderly. The system comprises an environment monitoring device, a personal state monitoring device, an alarm system, a monitoring data storage analysis server and a monitoring terminal. Compared with the existing household environment monitoring system, the application has the core advantages that the monitor not only comprises an environment monitor, but also comprises a device for monitoring the human body state, such as an instrument for measuring and monitoring the body temperature, exercise behavior, blood pressure, blood sugar, electrocardio, blood oxygen, heart rate, body weight components and the like of the human body, and the monitors send various parameters of the human body to a server after measuring.

The server analyzes the human body data, determines the health state and generates a report, and the report is sent to each terminal through a network, so that the health state of the old can be mastered in real time, and the occurrence of emergency is reduced. For the monitoring of the health state of the elderly, the health monitoring bracelet is often used for health, and when the monitoring bracelet is used, the monitoring bracelet is usually required to be taken down for charging, and at the moment, the monitoring bracelet cannot collect relevant physiological parameters and activity data in real time, so that the data in the period of time is lost. If an important physiological change or activity happens during this time, it cannot be completely recorded and analyzed. Therefore, the scheme provides the senile health data analysis system, the integrity of the senile health data is improved, and more accurate and comprehensive data analysis and evaluation are provided.

Disclosure of Invention

In order to solve the problem that the monitoring wristband cannot record and analyze the health data of the old people completely due to charging, the application provides an analysis system for the health data of the old people, which is used for improving the integrity of the health data of the old people and providing more accurate and comprehensive data analysis and evaluation.

In order to achieve the above object, the technical scheme of the present application is as follows: the system comprises a first monitoring module and a second monitoring module, wherein the first monitoring module is a monitoring bracelet, a plurality of monitoring components are arranged in the monitoring bracelet and are used for monitoring the health data of the aged, the monitoring components are connected with a processor through signals, and the processor is used for analyzing the health data of the aged;

the second monitoring module comprises a charging base, a camera and a loudspeaker, wherein the charging base is used for charging the monitoring bracelet, and the camera is used for monitoring the physical condition and the position of the old when the monitoring bracelet is not worn; when the camera monitors that the aged is unexpected, the loudspeaker is used for alarming, and when the camera monitors that the aged is at a doorway and has an outgoing trend, the loudspeaker is used for prompting the aged to carry the monitoring bracelet;

the positioning module is arranged in the monitoring bracelet and used for monitoring the position of the old people and transmitting the position information of the old people to the processor, and the processor can acquire the living habit of the old people based on the position information of the old people, so that whether the old people have an intention of going out or not can be known; when the monitoring bracelet is charged and the old people have an intention of going out, the processor processes the information and transmits the information into the charging base, so that the charging base rapidly charges the monitoring bracelet; when the monitoring bracelet is charged and the old people do not have the intention of going out, the processor processes the information and transmits the information into the charging base, so that the charging base slowly charges the monitoring bracelet.

The principle and the beneficial effect of the scheme are adopted: a plurality of monitoring components are arranged in the monitoring bracelet, so that the health data of the old people, such as heart rate, blood pressure, step number and the like, can be monitored. Such data may provide a comprehensive health assessment and help to discover potential health problems early. The related processor can analyze and evaluate the data, help medical staff or family members to accurately know the health condition of the aged, and take corresponding measures for intervention and management. The system is provided with a camera, and can be used for monitoring the physical condition and the position of the old when the monitoring bracelet is not worn. When the camera detects that the old people have accidents or abnormal conditions, the system can send out an alarm through the loudspeaker so as to attract the attention of surrounding people and take corresponding rescue measures.

The positioning module in the monitoring bracelet can monitor the position of the old people in real time and transmit the position information to the processor. The processor is utilized to analyze the position information and the living habit and the activity track of the old, and the system can judge whether the old has an intention of going out. When the old person has the intention of going out and the monitoring bracelet is charging, the processor can transmit relevant information to the charging base, so that the charging base can rapidly charge the monitoring bracelet, and the old person can use the monitoring bracelet for a long time when going out. When the monitoring bracelet is being charged and the old does not have the intention of going out, the processor can inform the charging base to carry out slow charging so as to protect the service life of the battery and prolong the service time, and the applicability and the practicability of the monitoring bracelet are improved. Therefore, the monitoring bracelet and the camera are utilized to continuously monitor the health of the old, the integrity of the health data of the old is improved, and more accurate and comprehensive data analysis and evaluation are provided.

Further, the monitoring components include, but are not limited to, a heart rate monitoring component, a blood pressure monitoring component, a sleep monitoring component, a motion monitoring component, a behavioral alert component, and an oxygen saturation monitoring component for acquiring raw data; the heart rate monitoring component, the blood pressure monitoring component, the sleep monitoring component, the motion monitoring component, the behavior monitoring component and the oxygen saturation monitoring component are respectively used for acquiring heart rate data, blood pressure data, sleep data, motion data, behavior data and blood oxygen saturation data of the old people, transmitting the original data to the processor, and cleaning and checking the original data by the processor to remove abnormal values and error data.

The beneficial effects are that: the system covers a plurality of monitoring components, and can monitor a plurality of physiological indexes of the old, such as heart rate, blood pressure, sleep state, exercise condition, blood oxygen saturation and the like. This can provide comprehensive, detailed physical health data, which helps to more fully understand the health of the elderly. The monitoring component can acquire raw data and transmit it to the processor for cleaning and verification. This can help to exclude outliers and erroneous data, improving the accuracy and reliability of the data. Because the monitoring component can acquire data in real time and transmit the data to the processor, the system can analyze and monitor the health state of the old people in real time. Thus, if an abnormal situation or an emergency occurs, corresponding measures and treatments can be taken more quickly. Different monitoring components can provide different data, and through analysis of the data, the system can provide more personalized health care and advice for each elderly person, helping them to better manage their health.

Further, when the monitoring bracelet charges to the old person has the intention of going out, the processor obtains old person's time point of going out and the required time length of going out according to old person's life habit, and calculates the monitoring bracelet electric quantity and the required electric quantity that the old person was gone out when the old person was gone out, and when the monitoring bracelet electric quantity when the old person was gone out was less than the required electric quantity that the old person was gone out, the megaphone reminded the old person and delays to go out or reduce the time of going out.

The beneficial effects are that: the processor can accurately calculate the electric quantity required by the aged to go out according to the living habit and the outgoing time point of the aged. Thus, the monitoring bracelet can remind the old to delay the outgoing or reduce the outgoing time under the condition of insufficient electric quantity so as to ensure that the monitoring bracelet has enough electric quantity support during the outgoing. According to the time point of going out and the required electric quantity of the old people, the loudspeaker can provide individualized electric quantity management advice according to actual conditions. Therefore, the old people can better control the outgoing behavior, and the condition that the monitoring bracelet cannot be normally used due to insufficient electric quantity is avoided. By reminding the old to delay the outgoing or reduce the outgoing time, the consumption of the monitored bracelet electric quantity can be effectively delayed. Therefore, the service time of the monitoring bracelet can be prolonged, the frequency of frequent charging is reduced, and the convenience and the comfort level of the use of the bracelet by the old are improved. When the monitored bracelet electric quantity of the old people when going out is lower than the required electric quantity, the old people are reminded to delay the going out or reduce the going out time, and the condition that the monitoring function is invalid due to electric quantity exhaustion can be avoided. Therefore, the safety guarantee of the old can be increased, and the risk of accidents is reduced. Through intelligently managing the electricity consumption, personalized suggestions are given, and the satisfaction and experience of the old people using the system can be improved. The old people can better utilize the monitoring bracelet to carry out health management and safety guarantee, improve quality of life.

Further, the cloud computing system further comprises a storage module, wherein the storage module is used for storing data in the processor and transmitting the data to the cloud for storage.

The beneficial effects are that: and the storage module transmits the data in the processor to the cloud for storage, so that the data can be backed up. Even if the hand ring is lost or damaged, the user data is still safe and can be recovered at any time. In addition, cloud storage can also provide higher security, ensuring that data is not affected by viruses, faults or other problems. The storage module has a large storage capacity and can store a large amount of data. This is particularly important for elderly monitoring of the wristband, as they may need to record health data over a long period of time and view the history over time. The storage module can meet this requirement and permanently store the health data of the user.

Further, the monitoring bracelet includes casing and watchband, and heart rate monitoring component, blood pressure monitoring component, sleep monitoring component, motion monitoring component, action are reminded subassembly and oxygen saturation monitoring component and are all located the casing.

The beneficial effects are that: the plurality of functional modules of monitoring bracelet can provide functions such as heart rate monitoring, blood pressure monitoring, sleep monitoring, motion monitoring, action warning and oxygen saturation monitoring. Advantages of these functions include real-time monitoring, providing alarms and reminders, facilitating data analysis and health management, improving quality of life, promoting health behavior, and the like. The watch band is used for wearing the monitoring bracelet on the wrist, so that the watch band is more convenient and faster.

Further, a display screen is fixedly connected to the monitoring bracelet, a call module is installed in the monitoring bracelet, and the call module is used for communicating with other equipment.

The beneficial effects are that: the display screen can be convenient for show the health data that monitors the bracelet, and the conversation module can be convenient for talk, more convenient and intelligent.

Further, the intelligent interaction system also comprises an interaction module, wherein the interaction module is used for performing intelligent interaction by using the AI voice assistant.

The beneficial effects are that: the interaction module is utilized for interaction, so that the old can carry out voice control on the monitoring bracelet, and the voice control method is more convenient and rapid.

Further, a mobile terminal is connected to the processor signal.

The beneficial effects are that: the health data on the monitoring bracelet can be conveniently checked by using the mobile terminal.

Drawings

Fig. 1 is a schematic diagram of an senile health data analysis system according to an embodiment of the present application.

Detailed Description

The following is a further detailed description of the embodiments:

example 1

An example is substantially as shown in figure 1:

the utility model provides an old health data analysis system, includes first monitoring module and second monitoring module, and first monitoring module is the monitoring bracelet, is provided with a plurality of monitoring components in the monitoring bracelet, and monitoring component is used for monitoring old person's body health data, and monitoring component equal signal connection has the treater, and the treater is used for analyzing old person's body health data.

The second monitoring module comprises a charging base, a camera and a loudspeaker, wherein the charging base is used for charging the monitoring bracelet, and the camera is used for monitoring the physical condition and the position of the old when the monitoring bracelet is not worn; when the camera monitors that the old person is unexpected, the loudspeaker is utilized to carry out the alarm, and when the camera monitors that the old person is at the gate and has a trend of going out, the loudspeaker is utilized to prompt the old person to carry the monitoring bracelet.

The positioning module is arranged in the monitoring bracelet and used for monitoring the position of the old people and transmitting the position information of the old people to the processor, and the processor can acquire the living habit of the old people based on the position information of the old people, so that whether the old people have an intention of going out or not can be known; when the monitoring bracelet is charged and the old people have an intention of going out, the processor processes the information and transmits the information into the charging base, so that the charging base rapidly charges the monitoring bracelet; when the monitoring bracelet is charged and the old people do not have the intention of going out, the processor processes the information and transmits the information into the charging base, so that the charging base slowly charges the monitoring bracelet.

The specific implementation process is as follows: the elderly use the system and wear a monitoring bracelet and place the monitoring bracelet on a charging base for charging. A plurality of monitoring components, such as heart rate monitors, blood pressure monitors, etc., are disposed within the monitoring bracelet and are used to monitor the health data of the elderly. Each monitoring component is connected to a processor, which is responsible for analyzing these health data.

Meanwhile, the second monitoring module comprises a charging base, a camera and a loudspeaker. The charging base is used for charging the monitoring bracelet, and the camera is used for monitoring the physical condition and the position of the old when the monitoring bracelet is not worn. If the camera monitors that an accident, such as a fall, has occurred in an elderly person, the system will sound an alarm via the microphone to notify surrounding persons.

In addition, if the camera monitors that the old person is at the gate and has a trend of going out, the system can remind the old person to carry the monitoring bracelet through the loudspeaker. This is to ensure that the elderly can still continue to monitor their physical health data while away from home.

And a positioning module is further arranged in the monitoring bracelet and used for monitoring the position of the old person and transmitting the position information to the processor. The processor can acquire the life inertia of the old people according to the position information of the old people and judge whether the old people have the intention of going out. When the monitoring bracelet is charged and the elderly is out of the way, the processor will process this information and send them into the charging base so that the charging base provides a quick charge for the monitoring bracelet. Conversely, if the wristband charge is monitored but the elderly are not going out, the processor will send this information into the charging base for slow charging.

In a word, the senile health data analysis system monitors the physical condition, the position and the behavior of the elderly in real time through monitoring equipment such as a bracelet, a camera and the like in the second monitoring module, and analyzes and processes the data through a processor. This can help the elderly to remain healthy and provide timely alarm and alert functions. Thereby improving the integrity of the health data of the elderly and providing more accurate and comprehensive data analysis and assessment.

Example two

The difference between this embodiment and the above embodiment is that: the monitoring components include, but are not limited to, a heart rate monitoring component, a blood pressure monitoring component, a sleep monitoring component, a motion monitoring component, a behavioral alert component, and an oxygen saturation monitoring component for acquiring raw data; the heart rate monitoring component, the blood pressure monitoring component, the sleep monitoring component, the motion monitoring component, the behavior monitoring component and the oxygen saturation monitoring component are respectively used for acquiring heart rate data, blood pressure data, sleep data, motion data, behavior data and blood oxygen saturation data of the old people, transmitting the original data to the processor, and cleaning and checking the original data by the processor to remove abnormal values and error data.

The specific implementation process is as follows: when a certain elderly person wears the monitoring bracelet, the heart rate monitoring assembly is used for monitoring heart rate data. The heart rate monitoring component senses heart rate changes of the elderly and transmits raw data to the processor for analysis.

In the processor, the heart rate data is first cleaned and checked. The cleaning process can remove outliers and erroneous data to ensure that the resulting data is accurate and reliable. For example, if the heart rate data is outside of a normal range, such as a very high or very low value, the processor may determine that the data is abnormal and exclude it.

The processor then performs further analysis of the cleaned and verified heart rate data. The method can calculate the average heart rate, the maximum heart rate, the minimum heart rate and other statistical indexes of the old people, and detect the change modes of the heart rate, such as the fluctuation condition of the heart rate or the trend change of the heart rate. These analysis results may be used to assess the heart health of the elderly, for example, whether arrhythmia or heart rate abnormality is present.

Similarly, other monitoring components such as blood pressure monitoring components, sleep monitoring components, motion monitoring components, behavior monitoring components, and oxygen saturation monitoring components may also perform data acquisition, cleaning, and analysis according to similar procedures. Each monitoring component has its specific data processing means and analysis criteria to provide more comprehensive and accurate health data for the elderly.

Through data analysis of the monitoring components, the elderly can know own physical conditions and take corresponding measures to improve health when necessary. Meanwhile, the processor can also use the data for early warning and reminding, for example, sending an alarm or reminding the old to increase the exercise amount when the blood pressure is detected to be too high.

In a word, various monitoring components in the senile health data analysis system transmit raw data to a processor, and analyze the raw data after cleaning and checking, so that accurate and reliable senile health data are provided, and the elderly can be helped to know own physical conditions in time and take corresponding health management measures.

Example III

The difference between this embodiment and the above embodiment is that: when the monitoring bracelet charges to the old person has the intention of going out, the processor obtains old person's time point of going out and the required time length of going out according to old person's life habit, and calculates the monitoring bracelet electric quantity and the required electric quantity that the old person was gone out when the old person was gone out, and when the monitoring bracelet electric quantity when the old person was gone out was less than the required electric quantity that the old person was gone out, the megaphone reminded the old person and delays to go out or reduce the time of going out.

The specific implementation process is as follows: when an elderly person usually goes out between 8 and 10 a.m., each time the person goes out, the time is 2 hours. The processor knows that the time period is when the aged is frequently out according to the life inertia of the aged.

When the wristband charge is monitored and the elderly indicates to go out at 9 a.m., the processor first calculates the length of time the elderly is going out, i.e., 2 hours. The processor then determines whether the power is sufficient to support the entire egress process based on monitoring the power of the wristband and the power required for the elderly to egress.

Assume that the current charge of the monitoring bracelet is 50%. The processor knows the amount of power that the elderly needs to go out, for example 20%. Then the processor calculates the monitored wristband power consumption when the elderly is out, i.e. 50% -20% = 30%. The processor compares this calculation with the amount of power that the elderly person needs to go out.

In this example, the power consumption of the monitoring bracelet is 30% and the power required for going out is 20%. Therefore, monitoring the power of the wristband is sufficient to support the entire outing process of the elderly.

If the calculation result shows that the electric quantity of the monitoring bracelet is lower than the electric quantity required by the outing, namely the electric quantity consumption of the monitoring bracelet is larger than the electric quantity required by the outing, the loudspeaker can give out a prompt, and the aged is recommended to delay the outing or reduce the outing time so as to ensure that the monitoring bracelet has enough electric quantity supply during the outing.

In summary, the senile health data analysis system judges whether enough electric quantity supports the outgoing journey of the elderly people according to the life inertia of the elderly people and the electric quantity condition of the monitoring bracelet through the processor, and provides corresponding reminding and advice so as to ensure that the elderly people can continuously monitor the physical health data of the elderly people when the elderly people go out.

Example IV

The difference between this embodiment and the above embodiment is that: the cloud computing system further comprises a storage module and an interaction module, wherein the storage module is used for storing data in the processor and transmitting the data to the cloud for storage; the interaction module is used for intelligent interaction by using the AI voice assistant.

The specific implementation process is as follows: the storage module is responsible for transmitting the data in the processor to the cloud for storage. The cloud storage can ensure the safety and reliability of data, and can be accessed and backed up at any time. In addition, the storage module can also receive the update and the instruction from the cloud to ensure the normal operation of the system.

The interaction module uses the AI voice assistant to conduct intelligent interaction. The old people can inquire own health data, know health advice, set reminding and the like through a conversation with the voice assistant. For example, the elderly may ask the voice assistant for the current heart rate, the voice assistant may obtain the latest data from the storage module, and the result may be returned to the elderly by voice.

The implementation process of the whole system comprises the steps of hardware equipment configuration and setting, data acquisition and transmission flow design, algorithm and rule writing and integration with a cloud end and a voice assistant. Through the steps, the elderly can conveniently monitor and manage own health and obtain accurate health advice and reminding.

Example five

The difference between this embodiment and the above embodiment is that: the monitoring bracelet comprises a shell and a watchband, and the heart rate monitoring component, the blood pressure monitoring component, the sleep monitoring component, the motion monitoring component, the behavior reminding component and the oxygen saturation monitoring component are all located in the shell. The monitoring bracelet is fixedly connected with a display screen, a call module is installed in the monitoring bracelet, and the call module is used for communicating with other equipment. The processor is connected with the mobile terminal through signals.

The specific implementation process is as follows: first, hardware devices for monitoring the wristband, including a case, wristband, display screen, etc., need to be configured. Various monitoring components, such as heart rate monitoring components, blood pressure monitoring components, sleep monitoring components, etc., may be mounted within the housing. Meanwhile, a call module is also installed in the monitoring bracelet and used for communicating with other equipment.

After the elderly wear the monitoring wristband, each monitoring assembly will begin to collect health data. For example, a heart rate monitoring component may monitor changes in heart rate, a blood pressure monitoring component may measure blood pressure values, a sleep monitoring component may record sleep quality, and so on. These data are connected to the mobile terminal by means of processor signals.

A processor on the mobile terminal receives and processes data transmitted from the monitoring wristband. The data are analyzed according to preset algorithms and rules to judge whether abnormal conditions exist, such as overhigh heart rate or abnormal rise of blood pressure.

If the processor detects an abnormal condition, such as a heart rate exceeding a threshold or a blood pressure rising, it triggers the corresponding alarm and alert functions. The talk module may be used to talk to other devices, such as to contact a doctor or family.

And the processor transmits the analyzed data to the cloud for storage. The old people can conduct intelligent interaction through the AI voice assistant on the mobile terminal, inquire the health data, know the health advice and the like. For example, the elderly may ask the voice assistant for the current heart rate situation and get an immediate response.

The foregoing is merely exemplary of the present application and the specific structures and/or characteristics of the present application that are well known in the art have not been described in detail herein. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.

Claims (8)

1. An old health data analysis system, characterized in that: the monitoring device comprises a first monitoring module and a second monitoring module, wherein the first monitoring module is a monitoring bracelet, a plurality of monitoring components are arranged in the monitoring bracelet and are used for monitoring the physical health data of the aged, the monitoring components are connected with a processor through signals, and the processor is used for analyzing the physical health data of the aged;

the second monitoring module comprises a charging base, a camera and a loudspeaker, wherein the charging base is used for charging the monitoring bracelet, and the camera is used for monitoring the physical condition and the position of the old when the monitoring bracelet is not worn; when the camera monitors that the aged is unexpected, the loudspeaker is used for alarming, and when the camera monitors that the aged is at a doorway and has an outgoing trend, the loudspeaker is used for prompting the aged to carry the monitoring bracelet;

the positioning module is arranged in the monitoring bracelet and used for monitoring the position of the old people and transmitting the position information of the old people to the processor, and the processor can acquire the living habit of the old people based on the position information of the old people, so that whether the old people have an intention of going out or not can be known; when the monitoring bracelet is charged and the old people have an intention of going out, the processor processes the information and transmits the information into the charging base, so that the charging base rapidly charges the monitoring bracelet; when the monitoring bracelet is charged and the old people do not have the intention of going out, the processor processes the information and transmits the information into the charging base, so that the charging base slowly charges the monitoring bracelet.

2. The senile health data analysis system according to claim 1, wherein: the monitoring components include, but are not limited to, a heart rate monitoring component, a blood pressure monitoring component, a sleep monitoring component, a motion monitoring component, a behavioral alert component, and an oxygen saturation monitoring component for acquiring raw data; the heart rate monitoring component, the blood pressure monitoring component, the sleep monitoring component, the motion monitoring component, the behavior monitoring component and the oxygen saturation monitoring component are respectively used for acquiring heart rate data, blood pressure data, sleep data, motion data, behavior data and blood oxygen saturation data of the old people, transmitting the original data to the processor, and cleaning and checking the original data by the processor to remove abnormal values and error data.

3. The senile health data analysis system according to claim 2, wherein: when the monitoring bracelet charges to the old person has the intention of going out, the processor obtains old person's time point of going out and the required time length of going out according to old person's life habit, and calculates the monitoring bracelet electric quantity and the required electric quantity that the old person was gone out when the old person was gone out, and when the monitoring bracelet electric quantity when the old person was gone out was less than the required electric quantity that the old person was gone out, the megaphone reminded the old person and delays to go out or reduce the time of going out.

4. The senile health data analysis system according to claim 3, wherein: the cloud storage system further comprises a storage module, wherein the storage module is used for storing data in the processor and transmitting the data to the cloud for storage.

5. The senile health data analysis system according to claim 4, wherein: the monitoring bracelet comprises a shell and a watchband, and the heart rate monitoring component, the blood pressure monitoring component, the sleep monitoring component, the motion monitoring component, the behavior reminding component and the oxygen saturation monitoring component are all located in the shell.

6. The senile health data analysis system according to claim 5, wherein: the monitoring bracelet is fixedly connected with a display screen, a call module is installed in the monitoring bracelet, and the call module is used for communicating with other equipment.

7. The senile health data analysis system according to claim 6, wherein: the system also comprises an interaction module, wherein the interaction module is used for carrying out intelligent interaction by utilizing the AI voice assistant.

8. The senile health data analysis system of claim 7, wherein: the processor is connected with the mobile terminal through signals.