CN115191998A - Wearable intelligent equipment and health management system - Google Patents

Abstract

The invention provides wearable intelligent equipment and a health management system comprising the same, wherein the wearable intelligent equipment comprises an uncomfortable feeling recording function which is actively triggered by a user, can perform targeted analysis according to the actual physical condition of an individual user, sets a related physical sign early warning value, and provides personalized intelligent service for each user. The wearable intelligent device provided by the invention comprises: the uncomfortable feeling recording module is provided with a triggering mechanism for inputting uncomfortable feeling data by a user; the data measurement module is used for responding to the triggering of the triggering mechanism and recording the current multiple physical sign/activity data of the user and the uncomfortable data input by the user in a mutual correlation manner; the calculation module is used for calculating the early warning value of one or more physical sign/activity data according to the physical sign/activity data and the uncomfortable feeling data; and the prompting module is used for sending out a prompting signal when the physical sign/activity data exceeds the early warning value.

Description

Wearable intelligent equipment and health management system

Technical Field

The invention relates to the technical field of intelligent electronics, in particular to wearable intelligent equipment and a health management system comprising the same.

Background

Wearable smart devices have a history of development for many years, and ideas and rudiments have appeared in the 60 th 20 th century, while devices in the form of wearable smart devices appeared in the 70-80 th century, and wearable computer prototypes developed by Steve-Man based on Apple-II 6502 type computers are representative of the wearable computer prototypes. With the rapid development of computer standardization software and hardware and internet technology, the form of wearable intelligent devices becomes diversified, and important research values and application potentials are gradually shown in various fields such as industry, medical treatment, military, education, entertainment and the like.

In daily life nowadays, wearable intelligent devices for monitoring information related to the health of people are most widely used. The wearable intelligent device can detect and record a series of relevant data such as body building effect, sleep quality, diet arrangement and habits of the user, and can synchronize the data into terminal devices such as mobile phones and computers of the user, and the analysis function of the terminal devices gives relevant suggestions according to the data analysis, so that the wearable intelligent device plays a role in guiding healthy life through the data.

In the prior art, the health detection mode of the wearable intelligent device usually detects and records related information of a human body at regular or irregular intervals, and gives an alarm when certain data is abnormal. Moreover, the detection and early warning standards of wearable intelligent devices on the market are mostly consistent, and although some products can adjust the detection health monitoring standards according to gender, age and the like, the health detection standards and corresponding warning data cannot be formulated according to the actual physical conditions and the physiological and pathological characteristics of each user individual.

Because the sign standards corresponding to the state of discomfort generated by each user are very different, the above alarm scheme in the prior art is not particularly suitable for predicting the discomfort of the user. For example, for older a users, heart rate up to 140 may be sufficient to cause discomfort, while for younger B users, heart rate at this value is just within the appropriate interval for fat reduction, and if the criteria are uniformly set at a particular value, it is difficult to meet the prediction accuracy requirements of different users. If the mode of setting the early warning standard by combining a plurality of groups of numerical values is adopted, higher requirements are put forward on the number and the performance of the sensors of the wearable equipment, a user needs to input a large amount of data in advance, and the use is inconvenient.

Disclosure of Invention

In view of the above problems, the present invention provides a wearable smart device and a health management system including the wearable smart device, which can perform targeted analysis according to the actual physical condition of an individual user, set an early warning value of a relevant physical sign/activity amount, more accurately predict the condition that the user will feel uncomfortable, and prompt the user to pay attention before reaching an uncomfortable state, thereby providing personalized and intelligent services for each user.

The invention provides a wearable intelligent device, which specifically comprises:

the uncomfortable feeling recording module is provided with a triggering mechanism for inputting uncomfortable feeling data by a user;

the data measurement module is used for responding to the triggering of the triggering mechanism and recording the current multiple physical sign/activity data of the user and the discomfort data input by the user in a correlated manner;

the calculation module is used for calculating the early warning value of one or more physical sign/activity data according to the physical sign/activity data and the uncomfortable data;

and the prompting module is used for sending out a prompting signal when the physical sign/activity data exceeds the early warning value.

The wearable intelligent device provided by the invention is provided with the uncomfortable feeling recording module which is actively triggered by the user, namely, when the user feels uncomfortable, the uncomfortable feeling recording module can be triggered by the triggering mechanism immediately, uncomfortable feeling data is input, the physical sign/activity data measured by the data measuring module at present is recorded, then the calculation module is combined with the data transmitted by the two modules to analyze and obtain the early warning value of one or more physical sign/activity data which possibly generate uncomfortable feeling, and a prompt signal is sent when the physical sign/activity data of the user exceeds the early warning value.

Through the mode, the early warning value for prompting the user by the wearable intelligent device is analyzed and then set according to the record of the discomfort of the user, and customized exercise health monitoring service can be provided for each user.

Preferably, in the technical solution of the present invention, the discomfort recording module of the wearable smart device includes a discomfort portion recording unit, a discomfort symptom recording unit and a discomfort level recording unit,

the discomfort site recording unit has a plurality of selectable entries associated with different body parts;

the discomfort symptom recording unit has a plurality of selectable entries associated with different discomfort symptoms;

the discomfort level recording unit has a plurality of selectable entries associated with different levels of discomfort.

Wherein, the selectable items of different body parts associated in the uncomfortable part recording unit may specifically include, for example, head, chest, abdomen, waist, arms, thighs, knees, feet, etc.; optional items of different discomfort symptoms associated with the discomfort symptom recording unit may specifically include, for example, pain, dizziness, itching, twitching, nausea, etc.; the selectable entries of different discomfort levels associated with the discomfort level recording unit may specifically include, for example, mild, moderate, severe, very severe, etc. When the user records the discomfort condition of the body through the discomfort recording module, the discomfort part, the discomfort symptom and the discomfort degree of the body can be recorded one by one according to the prompt of the unit, and the subsequent calculation module can conveniently analyze and calculate the discomfort state of the user.

Preferably, in the technical solution of the present invention, the data measurement module of the wearable smart device includes one or more of a heart rate sensor, a blood pressure sensor, a blood glucose sensor, a blood oxygen saturation sensor, a blood viscosity sensor, and a pedometer. The data measurement module is used for measuring physical sign/activity data of a user, and the various sensors and the counting unit can capture real-time physical sign data such as heart rate, blood pressure, body temperature, blood sugar, blood oxygen saturation, blood viscosity and the like of the user and activity data such as exercise step number, exercise duration and the like, so that uncomfortable feeling data of the user can be combined with the real-time physical sign/activity data, and the reason for the uncomfortable feeling of the user and/or the corresponding physical sign change condition can be analyzed.

In a preferred technical scheme of the invention, the calculation module of the wearable intelligent device further calculates the early warning value of one or more physical sign/activity data according to the maximum temperature difference value and the maximum air pressure value of different areas in the trip plan of the user. On the premise of analyzing by combining the health condition of each user, the maximum temperature difference value, the maximum air pressure value and other environmental factors of different areas are introduced, the influence of the environmental factors on the health state and the appropriate activity of the human body is comprehensively considered, and more accurate and appropriate health guidance and early warning prompt can be given to the user.

Preferably, in the technical scheme of the invention, the calculation module of the wearable smart device further calculates the early warning value of one or more physical sign/activity amount data according to the physical sign/activity amount data and the uncomfortable feeling data of the other users, which are obtained from the cloud and have similarity higher than the threshold. By combining the relevant data of other users with the similarity higher than the threshold value, the wearable intelligent device provided by the invention can be used for analyzing and calculating by combining a large amount of data to obtain a more accurate and objective result, and can also eliminate the influence of accidental data on the whole data. Especially, under the condition that the user just starts to use the wearable intelligent device provided by the invention, the body discomfort does not occur, and the discomfort feeling of the user on the wearable intelligent device is not accurate, the wearable intelligent device can be effectively helped to calculate and set the early warning value of one or more physical sign/activity data by combining the data of similar users.

In the preferred embodiment of the present invention, the wearable smart device further comprises

And the early warning value adjusting module is used for increasing the early warning value of one or more physical sign/activity data if the physical sign/activity data exceeds the early warning value and receives a feedback signal of the user for stopping or not responding to the prompting module.

The early warning value adjusting module can help a user to adjust the early warning value, namely the early warning value of one or more physical sign/activity data of the user is not fixed and can be adjusted according to the uncomfortable user record, the uncomfortable early warning and other data every time, and the early warning value can be gradually optimized through the feedback mechanism, so that more comfortable use experience is provided for the user.

In a preferred technical scheme of the invention, the early warning value of the physical sign/activity data of the wearable intelligent device is an early warning range comprising an early warning lower limit value and an early warning upper limit value, the data measurement module can monitor the physical sign/activity data of the user in real time, and the prompt module can send out two different prompt signals when the physical sign/activity data is lower than the early warning lower limit value or higher than the early warning upper limit value. The physical sign state monitoring device is particularly suitable for monitoring physical sign states during exercise, so that data such as heart rate and blood pressure are kept in a reasonable range, and a user is prompted to adjust the exercise state when the physical sign state data exceed the reasonable range.

The invention also provides a health management system, which comprises any one of the wearable intelligent devices, and the wearable intelligent device has an active recording function aiming at the user, can perform targeted analysis according to the actual physical condition of the individual user, sets the early warning value of the relevant physical sign, and provides customized exercise health monitoring service for each user.

Preferably, the health management system provided by the technical solution of the present invention further comprises

The health detection device is provided with one or more sensors with detection precision higher than that of the data measurement module, and a wireless communication device in communication connection with the wearable intelligent device;

in response to the health detection device performing the measurement for the user, the wearable smart device synchronously performs the measurement for the user and calibrates the data measurement module with the measurement value of the health detection device.

The health detection device described above is capable of performing measurements for the user directly or indirectly and with a higher measurement accuracy than the data measurement module of the wearable smart device. Therefore, the health detection device can remotely control the data measurement module of the wearable intelligent device to perform measurement aiming at the user through the wireless communication device in communication connection with the wearable intelligent device; the data detected by the data measurement module of the wearable intelligent device can be received, the data measurement module of the wearable intelligent device is calibrated, and the measurement data precision and the early warning data precision of the health management system are further improved.

Drawings

Fig. 1 is a schematic diagram of a wearable smart device provided in a first embodiment of the invention;

fig. 2 is a schematic diagram of an uncomfortable recording module provided in a first embodiment of the present invention;

fig. 3 is a schematic diagram of a wearable smart device provided in a second embodiment of the invention;

fig. 4 is a schematic diagram of a health management system provided in a third embodiment of the present invention.

Reference numerals: the method comprises the following steps of 1-wearable intelligent equipment, 2-discomfort recording module, 21-discomfort part recording unit, 22-discomfort symptom recording unit, 23-discomfort level recording unit, 3-data measuring module, 4-calculating module, 5-prompting module, 6-early warning value adjusting module, 7-health management system, 8-health detection equipment, 81-sensor and 82-wireless communication equipment.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

[ first embodiment ]

As shown in fig. 1, a first embodiment of the present invention provides a wearable smart device 1, which specifically includes:

an uncomfortablefeeling recording module 2 having a trigger mechanism (not shown) for a user to input uncomfortable feeling data;

the data measurement module 3 is used for recording the measured current various physical signs/activity data of the user and the discomfort data input by the user in a mutual correlation manner in response to the triggering mechanism (not shown) being triggered;

thecalculation module 4 is used for calculating the early warning value of one or more physical sign/activity data according to the physical sign/activity data and the uncomfortable feeling data;

and theprompting module 5 is used for sending out a prompting signal when the physical sign/activity data exceeds the early warning value.

First, the user can trigger the uncomfortable recording function of the wearable smart device 1 through a trigger mechanism (not shown) of theuncomfortable recording module 2. The triggering mode of the triggering mechanism (not shown) may be any one or more of a key, voice, touch, and the like. Subsequently, the user inputs uncomfortable feeling data in the uncomfortablefeeling recording module 2, the uncomfortablefeeling recording module 2 is usually in communication connection with an external input module, and the input mode of the uncomfortable feeling data also includes various forms such as voice, touch, characters and the like.

Furthermore, the data measurement module 3 is communicatively connected to thediscomfort recording module 2, and is capable of immediately measuring a plurality of current physical signs/activity data of the user in response to a trigger mechanism (not shown) of thediscomfort recording module 2, that is, when the trigger mechanism (not shown) of thediscomfort recording module 2 is punished, and storing the plurality of current physical signs/activity data in association with the discomfort data input by the user, so as to accurately know the real-time physical condition of the user when the user feels discomfort. Moreover, the data measurement module 3 also has a default measurement mode, i.e. after the wearable smart device 1 starts working, the physical sign/activity data of the user is detected at regular or irregular intervals, so as to count and monitor the health and motion state and dynamic changes of the user during the use of the wearable smart device 1.

Then, thecalculation module 4 is in communication connection with the uncomfortablefeeling recording module 2 and the data measurement module 3, respectively, and can receive the user uncomfortable feeling data transmitted by the uncomfortablefeeling recording module 2 and the user physical sign/activity data transmitted by the data measurement module 3, and then analyze and calculate the early warning value of one or more physical sign/activity data according to the data. For example, when the user has a running time of 1 hour and a running distance of 6 km, the wearable smart device 1 records the data and sets the data as a dangerous value, and sets 90% (the running time of 54 minutes and the running distance of 5.4 km) as an early warning value.

And finally, the promptingmodule 5 is in communication connection with the calculatingmodule 4, and when the current physical sign/activity data calculated by the calculatingmodule 4 exceeds a preset early warning value, the promptingmodule 5 can send a prompting signal to warn the user that the current specific physical sign/activity reaches a limit which may cause discomfort to the user. If the running time is 1 hour, obvious discomfort is generated after the running distance is 6 kilometers, the running time is 54 minutes, the running distance is 5.4 kilometers, and the running time is set as the early warning value, and when the running time exceeds 54 minutes, the promptingmodule 5 prompts the user that the running time exceeds the early warning value; or when the running distance of the user exceeds 5.4 kilometers, the promptingmodule 5 prompts the user that the running distance exceeds the early warning value. Therefore, the promptingmodule 5 can give out a prompt before the user may feel uncomfortable, and the user is prevented from generating discomfort again. Usually, the promptingmodule 5 is further connected to an external output module, and prompts the user in different manners such as text, voice, vibration and the like through output modules such as a display screen, a speaker, a sensor and the like.

With the above module structure, the wearable smart device 1 provided in the first embodiment of the present invention is an uncomfortable feeling recording module for a user to trigger actively, and can perform targeted analysis according to the actual physical condition of the user and the generation of uncomfortable feeling, etc., and set the relevant sign early warning value, so as to provide an intelligent health and exercise supervision service for each user.

Specifically, as shown in fig. 2, in the first embodiment of the present invention, the uncomfortablefeeling recording module 2 of the wearable smart device 1 includes an uncomfortableportion recording unit 21, an uncomfortable symptom recording unit 22, and an uncomfortable level recording unit 23,

the discomfortsite recording unit 21 has a plurality of selectable entries relating to different body parts;

the discomfort symptom recording unit 22 has a plurality of selectable entries associated with different discomfort symptoms;

the discomfort level recording unit 23 has a plurality of selectable entries associated with different discomfort levels.

The uncomfortablepart recording unit 21 records a specific part of the user that causes discomfort, and the associated selectable items of different body parts may specifically include, for example, a head, a chest, an abdomen, a waist, an arm, a thigh, a calf, a knee, a foot, and the like; the discomfort symptom recording unit 22 records specific symptoms of user discomfort, and the associated selectable items of different discomfort symptoms may specifically include, for example, pain, dizziness, itching, twitching, nausea, and the like; the discomfort level recording unit 23 records the degree of discomfort of the user, and its associated selectable entries of different discomfort levels may specifically include, for example, mild, moderate, severe, very severe, and so on.

When the user records the discomfort condition of the body through thediscomfort recording module 2, the discomfort part, the discomfort symptom and the discomfort degree of the body can be recorded one by one according to the prompt of the above units, and the subsequent calculation module can conveniently analyze and calculate the discomfort state of the user. For example, when the discomfort of the user is slight dizzy, the user triggers thediscomfort recording module 2 through a triggering mechanism (not shown), and first the discomfortpart recording unit 21 prompts the user to select a specific part generating discomfort from the selectable items of the different body parts associated with the user, so that the user can select the head; the discomfort symptom recording unit 22 then prompts the user to select a particular symptom that produces discomfort from its associated selectable entries of different discomfort symptoms, where the user can select halo; finally, the discomfort level recording unit 23 prompts the user to select a level of discomfort feeling from the associated selectable items of different discomfort levels, and the user determines the degree of dizziness according to his own senses and thus selects mild. Each unit of the uncomfortablefeeling recording module 2 can give a prompt when the user cannot accurately describe the uncomfortable feeling of the user, and help the user to record the uncomfortable feeling; but also help users who are not familiar with the operating mode of the wearable smart device 1 to get on hand as soon as possible.

Preferably, in the first embodiment of the present invention, the data measurement module 3 of the wearable smart device 1 includes one or more of a heart rate sensor, a blood pressure sensor, a blood glucose sensor, a blood oxygen saturation sensor, a blood viscosity sensor, and a pedometer. The data measuring module 3 can measure physical sign/activity data of a user, and the various sensors can capture and measure real-time physical sign data such as heart rate, blood pressure, blood sugar, blood oxygen saturation, blood viscosity and the like of the user and activity data such as exercise step number, exercise duration and the like, and store the physical sign/activity data in association with discomfort data input by the user, so that the discomfort data of the user can be combined with the real-time physical sign/activity data, and the reason for the discomfort of the user and/or the corresponding physical sign change condition can be analyzed conveniently.

In the first embodiment of the present invention, the heart rate sensor and the blood pressure sensor in the wearable smart device 1 use photoplethysmography (PPG), i.e. capacitive light is emitted to the skin, the light reflected back through the skin tissue is received by the photosensitive sensor and converted into an electrical signal, and the electrical signal is converted into a digital signal, so that the data such as the heart rate, the blood pressure flow rate, etc. can be measured according to the absorbance of blood. Compared with measurement methods such as an Electrocardiography (ECG) method and a bioimpedance method, the photoplethysmography method has advantages such as high accuracy and low cost. It should be mentioned that, in practical application, the heart rate and blood pressure detection mode in the wearable smart device 1 may also be a combination of a photoplethysmography and an electrocardiography (PPG + ECG), and the like, which is not limited herein.

Preferably, in the first embodiment of the present invention, the blood glucose sensor uses a method of using a mid-infrared region laser. This method utilizes the properties that mid-infrared rays are absorbed by glucose to a large extent and absorbed by human body components other than water and alcohol to determine the blood sugar content in blood pressure.

Still further, in the first embodiment of the present invention, the blood oxygen saturation sensor employed by the wearable smart device 1 is typically a pulse blood oxygen saturation sensor, that is, the blood oxygen saturation is measured based on the change of the light absorption amount during the pulsation of the artery. Two light sources, respectively in the visible red spectrum (660 nm) and in the infrared spectrum (940 nm), are alternately illuminated on the area to be tested, the amount of light absorbed during these pulsations being related to the oxygen content in the blood. The microprocessor calculates the ratio of the two spectra absorbed and compares the result with a table of saturation values stored in a memory, thereby obtaining the blood oxygen saturation.

Similarly, in the first embodiment of the present invention, the blood viscosity sensor adopted by the wearable smart device 1 mainly depends on detecting the pulse wave of the radial artery of the human body and calculating the blood viscosity by combining with the hemodynamic equation to find the actual blood viscosity according with the physiology of the human body.

It should be noted that the detection functions and the specific detection using modes of the sensors for measuring the vital signs can be modified according to the needs of the user, and are not limited herein.

Then, in the first embodiment of the present invention, the data measurement module 3 of the wearable smart device 1 further includes a device and a module that measure activity amount data of the user, such as a pedometer. Pedometers generally use acceleration sensors to capture the mileage, time, speed, route, etc. a user walks, runs, etc. In addition, further, the data measuring module 3 may measure the activity data of the user, which may include specific sports, such as swimming, elliptical, rowing, riding, etc., and calculate the corresponding data of heat consumption, etc., through the calculatingmodule 4 for the user to refer to.

For example, when the user runs for 2 hours and takes a lower leg twitch after running for 10 kilometers, the user triggers an uncomfortable feeling recording function, and the uncomfortablefeeling recording module 2 records data such as a part (lower leg) generating uncomfortable feeling, symptoms (twitch), level (slight) and the like; synchronously, the data measurement module 3 detects physical sign data such as heart rate, blood pressure, blood sugar, blood oxygen saturation, blood viscosity and the like and activity data such as running mileage, time, speed and the like, and records and sends the physical sign/activity data and uncomfortable feeling data input by a user to thecalculation module 4 in a correlation manner; thecalculation module 4 performs comprehensive analysis by combining the discomfort data and the physical sign/activity data, and it is reasonable to set 90% of the data as the early warning value, and set the running time of 108 minutes and the running distance of 9 kilometers as the early warning value.

Preferably, in the first embodiment of the present invention, the wearable smart device 1 calculation module further calculates the early warning value of one or more physical sign/activity data according to the maximum temperature difference value and the maximum air pressure value of different areas in the user's trip plan. Since the lower the air pressure, the rarer the air, this means that the oxygen partial pressure in the air is reduced, and the oxygen partial pressure in the lungs is reduced, so that hemoglobin cannot be saturated with oxygen and hypoxemia occurs. For example, when a person climbs a mountain from a low place, the body needs to accelerate respiration and blood circulation to compensate for oxygen deficiency due to the decrease of air pressure, so that the phenomena of tachypnea and accelerated heart rate occur, and the human body, particularly the brain, has oxygen deficiency, so that symptoms such as dizziness, headache, nausea, vomiting, weakness and the like can occur, even pulmonary edema and coma can occur, and the air pressure can influence the psychological change of the human body, so that the person can generate depression emotion. That is, each person's physical function, ability to move and intensity of movement that can be accomplished are closely related to the pressure of the environment in which they are located. Likewise, the air temperature also affects the physical function and the motor ability of the person.

For example, similarly, according to uncomfortable feeling data that a user slightly twitches a lower leg after running for 10 km for 2 hours, on the premise that detection of physical data such as heart rate, blood pressure, blood glucose, blood oxygen saturation, blood viscosity and the like and activity data such as running mileage, time, speed and the like are not changed, in an environment with high air pressure, thecalculation mode 4 combines the maximum air pressure value of the area where the user is located to obtain a lower early warning value such as 80%, that is, when the user runs for 96 minutes and runs for 8 km, theprompt module 5 sends an alarm to avoid discomfort of the user due to environmental reasons such as air pressure, temperature and the like.

Preferably, in the first embodiment of the present invention, thecalculation module 4 of the wearable smart device 1 further calculates an early warning value of one or more signs/activity amount data according to the signs/activity amount data and the discomfort data of other users with a similarity higher than a threshold, which are obtained from the cloud. The threshold value is a similarity threshold value obtained by comprehensively considering the physical characteristics data of the user such as sex, age, height, weight and blood pressure, the activity data of exercise intensity, exercise duration and the like, the specific uncomfortable feeling data, the environmental data of the user such as temperature and air pressure and the like. The similarity data of other users acquired from the cloud is higher than the threshold, which means that the data of other users has reference value for the monitoring and analysis of the health and exercise state of the user. By combining the relevant data of other users with similarity higher than the threshold, thecalculation module 4 of the wearable intelligent device 1 provided by the invention can be used for analyzing and calculating by combining a large amount of data to obtain a more accurate and objective result, and can also eliminate the influence of individual accidental data on the overall data.

Especially, when the user just starts to use the wearable smart device 1, the user may not feel uncomfortable, for example, the user is a male with the age of 30, the weight is heavy, the blood pressure value is high, thecomputing module 4 of the wearable smart device 1 retrieves the physical sign/activity data and the uncomfortable data of other users with the similarity higher than the threshold value from the cloud, such as the above mentioned other users may averagely feel uncomfortable when the heart rate exceeds a certain value or the blood pressure rises to a certain value, and thus the early warning values of one or more physical sign/activity data, that is, the heart rate early warning value and the blood pressure early warning value, suitable for the user can be obtained through comprehensive analysis. It should be noted that the above-mentioned "averaging" refers to a comprehensive consideration of data of a plurality of other users, and does not limit the algorithm to the calculation of an average value in the conventional sense.

In addition, taking the example that the user is a 30-year-old male, the weight is heavy, the blood pressure value is high, the user feels dizzy and hypodynamia after taking exercise for half an hour, but the situation is likely to be haphazard and is only influenced by factors such as diet or bad work and rest of the user on the same day. By combining with data analysis of other users, the set range of the early warning value according to the big data can be adjusted, and the early warning value of the movement duration is correspondingly widened in the example, and is not limited to be within 30 minutes. Therefore, the influence of single individual accidental and reasonability setting on the early warning value can be avoided. Nevertheless, when calculating the early warning value of one or more physical signs/activity data of the user, thecalculation module 4 of the wearable smart device 1 still uses the actual physical signs, activity and discomfort data of the user as the main consideration criteria.

[ second embodiment ]

A second embodiment of the present invention is a solution further optimized on the basis of the first embodiment, and as shown in fig. 3, the wearable smart device 1 provided in this embodiment further includes

And the early warningvalue adjusting module 6 is used for increasing the early warning value of one or more sign/activity data if the sign/activity data exceeds the early warning value and a feedback signal of the user stopping or not responding to the prompting module is received. The early warningvalue adjusting module 6 can help the user to adjust the early warning value, namely, the early warning value of one or more physical signs/activity data of the user is not fixed, and can be adjusted according to the user discomfort record and discomfort early warning and other data each time.

For example, the activity amount early warning value set according to the current data of the user is running time of 1 hour, running distance is 6 kilometers, after the running time of the user reaches 1 hour, theprompt module 5 of the wearable intelligent device 1 sends a prompt to the user, that is, "your running time reaches the early warning value", but the user does not feel uncomfortable or eating feeling at this time, the early warningvalue adjusting module 6 captures a feedback signal that the user stops running or does not respond to theprompt module 5, the early warningvalue adjusting module 6 considers that the early warning value (running time of 1 hour) set previously may not be applicable to the current user, and meanwhile, the early warning value is increased within a certain range, for example, the running time early warning value is changed to 70 minutes. It should be noted that the basis for adjusting the warning value by the warningvalue adjusting module 6 may further include other user data with similarity higher than the threshold, and the adjustment range of the warning value should be kept within the range that the user can bear, and the adjustment is performed gradually. The early warningvalue adjusting module 6 can not only carry out the accuracy of early warning value according to data record many times, through long-term exercise moreover, the user's progress such as physique, physical power, endurance, the increase of the amount of exercise that can accomplish also can reflect through the rising of sign/activity early warning value.

Preferably, a wearable smart device 1 is provided in a second embodiment of the present invention

The early warning value of the physical sign/activity data is an early warning range comprising an early warning lower limit value and an early warning upper limit value,

the data measurement module 3 is capable of monitoring the vital sign/activity data of the user in real time,

the promptingmodule 5 can send out two different prompting signals when the physical sign/activity data is lower than the early warning lower limit value or higher than the early warning upper limit value.

The above-described functions are mainly used to detect and manage the exercise/health status of the user. For example, when a user performs aerobic/anaerobic exercise with high intensity, a lower early warning limit value (110 times/minute) and an upper early warning limit value (150 times/minute) of a corresponding heart rate are set, the data measurement module 3 detects physical sign data, namely the heart rate, of the user in real time, when the heart rate of the user is lower than the lower early warning limit value (110 times/minute), the exercise cannot achieve good exercise effects, such as fat reduction, muscle increase, cardiopulmonary function improvement and the like, and theprompt module 5 prompts the user that the current heart rate is lower than the lower early warning limit value, so that the exercise lightness of the user is properly increased; when the heart rate of the user is higher than the early warning upper limit value (150 times/minute), the body of the user may be uncomfortable or even the body health of the user may be damaged due to the excessively fast heart rate, and theprompt module 5 may enable the current heart rate of the user to be higher than the early warning upper limit value, so that the user appropriately reduces the exercise lightness to avoid the damage to the body. The early warning range comprising the early warning lower limit value and the early warning upper limit value for managing the exercise intensity of the user is suitable for the condition that the user exercises with certain intensity, and the early warning range only takes effect when the user exercises to a certain degree.

In addition, the early warning range including the early warning lower limit value and the early warning upper limit value can also be applied to daily non-high-intensity exercise amount supervision, for example, the old often builds up the body by walking every day, the old walks with too few steps and cannot take effect of building up the body, and the old walks with too many steps and may cause discomfort at the positions such as waist and leg joints. Correspondingly, a lower early warning limit value (5000 steps) and an upper early warning limit value (20000 steps) for daily walking can be preset, when the amount of exercise of the user in one day does not reach the standard, that is, the number of walking steps is lower than 5000 steps, the promptingmodule 5 can prompt the user that the number of walking steps in the previous day is lower than the lower early warning limit value on the second day after statistics of one day is completed, and can also prompt the user that the number of walking steps in the current day is lower than the lower early warning limit value at a certain time point of the day, such as 19, so as to prompt the user to perform walking exercise; when the walking step number of the user in one day is higher than 20000 steps, theprompt module 5 can prompt the walking step number of the user to be higher than the upper limit value of the early warning, and prompt the user to exercise more. Similarly, such monitoring of daily exercise is also applicable to usual running, swimming and other exercises, and the monitoring period can be flexibly set, not necessarily daily monitoring, but also days per week or statistics of one week's exercise amount and the like, so as to adapt to different work and rest habits of each user.

And then, the physical characteristics data such as heart rate, blood pressure, blood sugar, blood oxygen saturation, blood viscosity and the like are set in an early warning range comprising an early warning lower limit value and an early warning upper limit value, so that the health state of the user can be monitored in real time. Especially for patients suffering from heart diseases and other related diseases or the elderly, the wearable intelligent device 1 provided in this embodiment can preset the lower warning limit value and the upper warning limit value according to the physiological and/or pathological states of the user, and can prompt the user to check the physical state or seek help of a doctor and others when the physical condition of the user is abnormal, such as sudden rise or sudden fall of heart rate, blood pressure, and the like. In addition, the remindingmodule 5 of the wearable intelligent device 1 can be connected with other terminal devices, and synchronously prompts the current physiological/pathological conditions of family members or doctor users of the users when the users are in sleep, in coma or in other inconvenient self-rescue or call for help, so as to provide help or treatment for the users.

[ third embodiment ]

A third embodiment of the present invention is implemented on the basis of the first and second embodiments, and in this embodiment, a health management system 7 is provided, and the health management system 7 includes the wearable smart device 1 according to any one of the above embodiments. The health management system 7 in this embodiment can perform targeted analysis according to the actual physical condition of the individual user through the wearable smart device 1 therein, set the relevant sign early warning value, provide a customized exercise health monitoring service for each user, and manage and monitor the health state and the exercise state of the user.

Preferably, as shown in fig. 4, the health management system 7 in the third embodiment of the present invention further includes

The health detection device 8, wherein the health detection device 8 is provided with one ormore sensors 81 with higher detection precision than thedata measurement module 4, and a wireless communication device 82 in communication connection with the wearable intelligent device 1;

in response to the health detection device 8 performing the measurement for the user, the wearable smart device 1 simultaneously performs the measurement for the user and calibrates the data measurement module with the measurement value of the health detection device 8.

The health detection device 8 can directly measure data such as physical signs of the user through thesensor 81 configured by the health detection device, the measurement accuracy of thesensor 81 is higher than that of various sensors in the data measurement module 3 of the wearable smart device 1, and thesensor 81 in the health detection device 8 includes, but is not limited to, a heart rate sensor, a blood pressure sensor, a blood glucose sensor, a blood oxygen saturation sensor and a blood viscosity sensor. Moreover, the health detection device 7 is also able to remotely control the data measurement module 3 of the wearable smart device 1 to perform measurements for the user through the wireless communication device 82 in communication connection with the wearable smart device 1; and receive the data thatdata measurement module 5 of wearable smart machine 1 detected to carry out calibration todata measurement module 5 of wearable smart machine 1, further improve the holistic measured data precision of health management system 7 and early warning data precision.

Reference throughout this specification to "an embodiment" means that a particular feature, structure, function, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrase "in an embodiment" appearing in various places throughout the specification are not necessarily all referring to the same embodiment of the invention. Furthermore, the particular features, structures, functions, or characteristics may be combined in any suitable manner in one or more embodiments. For example, the first embodiment may be combined with the second embodiment as long as the two embodiments are not mutually exclusive. Furthermore, the above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (9)

1. A wearable smart device, comprising:

the uncomfortable feeling recording module is provided with a triggering mechanism for inputting uncomfortable feeling data by a user;

the data measurement module is used for recording a plurality of measured current physical sign/activity data of the user and the discomfort data input by the user in a mutual correlation manner in response to the triggering mechanism being triggered;

the calculation module is used for calculating the early warning value of one or more physical sign/activity data according to the physical sign/activity data and the uncomfortable feeling data;

and the prompting module is used for sending a prompting signal when the physical sign/activity data exceeds the early warning value.

2. The wearable smart device of claim 1,

the discomfort feeling recording module comprises an discomfort part recording unit, an discomfort symptom recording unit and an discomfort level recording unit,

the discomfort site recording unit having a plurality of selectable entries associated with different body parts;

the discomfort symptom recording unit has a plurality of selectable entries associating different discomfort symptoms;

the discomfort level recording unit has a plurality of selectable entries associated with different levels of discomfort.

3. The wearable smart device of claim 1, wherein the data measurement module comprises one or more of a heart rate sensor, a blood pressure sensor, a blood glucose sensor, a blood oxygen saturation sensor, a blood viscosity sensor, and a pedometer.

4. The wearable smart device of claim 1, wherein the calculation module further calculates an early warning value for one or more of the vital sign/activity data based on maximum temperature difference values and maximum air pressure values for different areas of the user's trip plan.

5. The wearable smart device of claim 1, wherein the computing module further computes an early warning value for one or more of the vital sign/activity data based on the vital sign/activity data and the discomfort data obtained from the cloud for other users with a similarity above a threshold.

6. The wearable smart device of claim 1, further comprising

And the early warning value adjusting module is used for increasing the early warning value of one or more sign/activity data if the sign/activity data exceeds the early warning value and a feedback signal that a user stops using or does not respond to the prompting module is received.

7. The wearable smart device of claim 1,

the early warning value of the physical sign/activity data is an early warning range comprising an early warning lower limit value and an early warning upper limit value,

the data measurement module is capable of monitoring said physical sign/activity data of the user in real time,

the prompting module can send out two different prompting signals when the physical sign/activity data is lower than the early warning lower limit value or higher than the early warning upper limit value.

8. A health management system comprising a wearable smart device as claimed in any of claims 1-7.

9. The health management system of claim 8, further comprising

A health detection device having one or more sensors with a detection accuracy higher than the data measurement module, and a wireless communication device in communicative connection with the wearable smart device;

in response to the health detection device performing a measurement for a user, the wearable smart device synchronously performs a measurement for the user and calibrates the data measurement module with the measurement value of the health detection device.

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