CN115590483A - Smart phone with health measurement system - Google Patents
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Abstract
The invention provides a smart phone with a health measurement system, which comprises: the data acquisition module is used for acquiring health data of a mobile phone user; the data analysis module is used for analyzing each health index of the mobile phone user according to the health data to obtain a health monitoring result and calculating a health index of the mobile phone user according to the health monitoring result; and the result display module is used for displaying the health monitoring result and the health index. The invention can complete the health monitoring of the mobile phone user by the mobile phone without wearing other external equipment.
Description
Technical Field
The invention relates to the technical field of health monitoring, in particular to a smart phone with a health measurement system.
Background
With the improvement of living standard, people pay more and more attention to physical health, so that some medical monitoring technologies become mature gradually due to the development of electronic technologies and computer technologies in recent years. People's health monitoring no longer relies on institutions such as hospitals, community clinics, etc. has appeared a large amount of wearable health monitoring equipment.
Wearable devices, i.e. portable devices worn directly on the body or integrated into the clothing or accessories of the user. Through connecting with the Internet and combining with various software applications, a user can sense and monitor the physiological condition and the surrounding environment condition of the user. However, this type of health monitoring that relies on wearable devices is greatly limited to wearable devices, and when a user forgets to wear the device, health monitoring is also ineffective.
Disclosure of Invention
The invention provides a smart phone with a health measurement system, which is used for solving the problems. The invention can complete the health monitoring of the mobile phone user by the mobile phone without wearing other external equipment.
The invention provides a smart phone with a health measurement system, which comprises:
the data acquisition module is used for acquiring health data of a mobile phone user;
the data analysis module is used for analyzing each health index of the mobile phone user according to the health data to obtain a health monitoring result, and calculating a health index of the mobile phone user according to the health monitoring result;
and the result display module is used for displaying the health monitoring result and the health index.
Preferably, the data analysis module includes:
the data processing unit is used for determining the data type of the health data according to the identity mark carried by the health data;
the distribution unit is used for sending the health data to a specified position according to the analysis requirements of each health index;
the data comparison unit is used for receiving the health data corresponding to each health index, comparing the health data with the index judgment standard in the database and obtaining the health monitoring result of each health index;
the index calculation unit is used for calculating the health index of the mobile phone user according to the deviation rate between the measured value of each health index and the standard value in the health monitoring result;
and the health early warning unit is used for sending a system notice to the mobile phone message notice bar to remind a mobile phone user when the health index is smaller than the alarm threshold value.
Preferably, the data comparing unit includes:
the temperature comparison subunit is used for receiving the temperature data, comparing the temperature data with the temperature judgment standard in the database and obtaining a temperature monitoring result;
the heart rate comparison subunit is used for receiving the heart rate data, comparing the heart rate data with the heart rate judgment standard in the database and obtaining a heart rate monitoring result;
the blood oxygen comparison subunit is used for receiving blood oxygen data, and comparing the blood oxygen data with blood oxygen determination standards in the database to obtain a blood oxygen monitoring result;
the sleep comparison subunit is used for receiving the respiratory data, comparing the respiratory data with sleep quality judgment standards in a database and obtaining a sleep monitoring result; wherein the respiratory data comprises respiratory frequency information and respiratory sound information.
Preferably, the sleep contrast subunit includes:
the method comprises the steps of obtaining screen-off time of the mobile phone, marking the screen-off time as first time when the screen-off time is night, taking the first time as sleep start time of a mobile phone user if the screen of the mobile phone is not opened again within first preset time after the first time, and continuously obtaining breathing data of the mobile phone user of the mobile phone;
generating a composite sound wave image according to the breathing data, determining a target sound wave of a mobile phone user, and obtaining a target sound wave image;
determining the time length corresponding to each sleep stage of the mobile phone user according to the change rule of the target sound wave image, generating a sleep distribution map, evaluating the sleep monitoring quality of the mobile phone user based on the sleep distribution map, and obtaining a sleep monitoring result.
Preferably, the result display module includes:
the report generating unit is used for adding the health monitoring result and the health index to the corresponding position of the health data display template to obtain a health monitoring report;
the data link unit is used for adding data hyperlinks to index names of all health indexes on the health monitoring report to generate a final health monitoring report;
and the data display unit is used for displaying the final health monitoring report.
Preferably, the data link unit includes:
and the data updating subunit is used for updating the corresponding content of the data hyperlink on the health monitoring report according to the monitoring time of the health monitoring report when the health monitoring report is generated.
Preferably, a smart phone with a health measurement system further includes:
the motion monitoring module is used for monitoring the motion condition of the mobile phone user and scoring the motion of the mobile phone user according to the motion condition in the preset time, and comprises the following steps:
the real-time monitoring unit is used for monitoring the dynamic action of the mobile phone user and acquiring action data, wherein the action data comprises position data of the mobile phone user and mobile phone vibration data;
the type identification unit is used for determining the motion type of the mobile phone user according to the action data, determining the motion intensity of the mobile phone user according to the motion type and the action data, and determining the actual consumed energy of motion;
and the report adding unit is used for generating an exercise monitoring report based on the exercise intensity and the actual consumed energy, and sending the exercise monitoring report to the data display unit as an additional supplementary report.
Preferably, the type identification unit includes:
the judging subunit is used for acquiring vibration data of the mobile phone according to a preset acquisition frequency, calculating a vibration frequency, and judging that a mobile phone user is moving when the vibration frequency of the mobile phone is greater than the preset frequency;
the determining subunit is used for determining a local shaking period of the mobile phone based on the vibration data when the motion type is a consumable motion type, counting the consumable motion type motion according to the local shaking period, and determining the motion intensity according to a counting result and the motion time;
the calculating subunit is used for acquiring weight data of the mobile phone user, determining a magnitude corresponding to the mobile phone user in an energy consumption reference standard, and determining unit calorie consumption of the mobile phone user under the exercise intensity; and acquiring the actual consumption energy of the mobile phone user in the exercise time based on the unit heat consumption. Preferably, a smart phone with a health measurement system further includes: danger alarm module, danger alarm module includes:
the danger judging unit is used for acquiring the current using height of the mobile phone when the vibration value corresponding to the vibration data of the mobile phone is suddenly increased and is greater than the vibration threshold value, comparing the current using height with the common heights in the common height list to obtain a plurality of height differences, judging that the mobile phone is abnormally dropped when the height differences are not within corresponding error intervals, acquiring the real-time positioning of the mobile phone, and sending the positioning to an emergency contact;
otherwise, acquiring a second time corresponding to the shock sudden-increase point, if the screen of the mobile phone is not opened again within a second preset time after the second time, positioning the mobile phone at the moment of dropping the mobile phone, and sending the mobile phone positioning to an emergency contact; and if the screen of the mobile phone is opened again within a second preset time after the second time, judging that the mobile phone is normally dropped.
Preferably, the danger alarm module further includes:
the common height determining unit is used for acquiring historical use data of the mobile phone, acquiring height positioning data of the mobile phone based on the historical use data, generating a first height discrete graph, sequencing the use heights corresponding to the mobile phone according to the first height discrete graph to obtain a height sequence, and adjusting the first height discrete graph according to the height sequence to obtain a second height discrete graph;
obtaining a height distribution characteristic according to the second height dispersion map; dividing the mobile phone use height into a plurality of height intervals according to the height distribution characteristics, calculating an average height value based on the height values corresponding to the height intervals, and taking the average height value as the mobile phone common height;
and acquiring common heights corresponding to all the high area regions to generate a common height list, and determining an error region corresponding to each common height of the mobile phone according to an upper limit height value and a lower limit height value of the height region.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of a smart phone with a health measurement system according to the present invention;
fig. 2 is a schematic structural diagram of a data analysis module of a smart phone with a health measurement system according to the present invention;
FIG. 3 is a schematic structural diagram of a result display module of a smart phone with a health measurement system according to the present invention;
fig. 4 is a schematic structural diagram of a smartphone motion monitoring module with a health measurement system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides a smart phone with a health measurement system, as shown in fig. 1, comprising:
the data acquisition module is used for acquiring health data of a mobile phone user;
the data analysis module is used for analyzing each health index of the mobile phone user according to the health data to obtain a health monitoring result and calculating a health index of the mobile phone user according to the health monitoring result;
and the result display module is used for displaying the health monitoring result and the health index.
In this embodiment, the health data includes temperature data, heart rate data, and sleep data of the mobile phone user.
In this embodiment, the health indicators include temperature, heart rate, and sleep indicators, and other health indicators, such as female menstruation monitoring and blood pressure monitoring, may also be started according to the needs of the user.
In this embodiment, the health monitoring result refers to a health condition of the mobile phone user determined according to the health data, such as normal body temperature, normal heart rate, normal blood oxygen, and the like.
In this embodiment, the data acquisition module acquires health data of a mobile phone user through a sensor installed on the mobile phone.
The beneficial effects of the above technical scheme are that: according to the invention, each health index is analyzed through the health data of the mobile phone user to obtain the health monitoring result, and the health index of the mobile phone user is calculated according to the health monitoring result, so that the current health level has a more intuitive display mode and is convenient for the user to check.
Example 2:
on the basis of embodiment 1, the data analysis module, as shown in fig. 2, includes:
the data processing unit is used for determining the data type of the health data according to the identity carried by the health data;
the distribution unit is used for sending the health data to a specified position according to the analysis requirements of each health index;
the data comparison unit is used for receiving the health data corresponding to each health index, comparing the health data with the index judgment standard in the database and obtaining the health monitoring result of each health index;
the index calculation unit is used for calculating the health index of the mobile phone user according to the deviation rate between the measured value of each health index and the standard value in the health monitoring result;
and the health early warning unit is used for sending a system notice to the mobile phone message notice bar to remind a mobile phone user when the health index is smaller than the alarm threshold value.
In this embodiment, the identity is automatically generated when the data collection sensor sends the collected health data to the data classification unit.
In this embodiment, the analysis requirement refers to a health data type required by each health index, for example, temperature data of a mobile phone user required by temperature analysis.
In this embodiment, the data types include temperature data, heart rate data, respiration data, and the like.
In this embodiment, the designated location refers to a subunit corresponding to different data types in the data comparison unit, the temperature data is sent to the temperature comparison subunit, and the heart rate data is sent to the heart rate comparison subunit; the breathing data is sent to the sleep contrast subunit.
In this embodiment, the deviation ratio is a difference between the measured value of each health indicator and the standard value.
In this embodiment, the health index is specifically calculated as follows:
acquiring a value interval of a normal range corresponding to each health index, determining an interval upper limit value and an interval lower limit value of the value interval, and calculating the health index of the mobile phone user according to the following formula:
wherein K represents the health index of the mobile phone user; m represents the total number of health indicators; omega j Representing the influence weight of the jth health index on the health of the mobile phone user under the condition of not considering the influence of other health indexes;
an interval upper limit value of a value interval representing the jth health index normal range;
the interval lower limit value of the value interval of the jth health index normal range is represented;
represents the measured value of the jth health indicator.
The beneficial effects of the above technical scheme are that: according to the method, the data processing unit determines the data type of the health data according to the identity carried on the health data, a basis is provided for data distribution of the data distribution unit, and the data comparison unit processes the data according to the data distribution result of the data distribution unit, so that the data comparison time is reduced, and the health data processing speed of the mobile phone is improved; and after the health index is obtained, the health index is processed through a health early warning unit, and when the health index is smaller than an alarm threshold value, a system notice is sent to a mobile phone message notice bar to remind a mobile phone user of attracting the attention of the mobile phone user.
Example 3:
on the basis of embodiment 2, the data comparison unit, as shown in fig. 2, includes:
the temperature comparison subunit is used for receiving the temperature data, comparing the temperature data with a temperature judgment standard in a database and obtaining a temperature monitoring result;
the heart rate comparison subunit is used for receiving the heart rate data, comparing the heart rate data with the heart rate judgment standard in the database and obtaining a heart rate monitoring result; a
The blood oxygen comparison subunit is used for receiving blood oxygen data, and comparing the blood oxygen data with blood oxygen determination standards in the database to obtain a blood oxygen monitoring result;
the sleep comparison subunit is used for receiving the respiratory data, comparing the respiratory data with sleep quality judgment standards in a database and obtaining a sleep monitoring result; wherein the respiratory data comprises respiratory frequency information and respiratory sound information.
In the embodiment, the temperature judgment standard means that the normal body temperature of a human body is between 36 and 37 ℃ on average (axilla), fever is caused when the temperature exceeds 37.3 ℃, low fever is caused when the temperature exceeds 37.3 to 38 ℃, and high fever is caused when the temperature exceeds 38.1 to 40 ℃. Above 40 ℃ there is a life risk at any time.
In this embodiment, the heart rate criterion means that the normal heart rate is 60 to 100 times/min, and efficiency is too slow when the heart rate is less than 60 times/min; less than 100 times/min is an efficiency overspeed.
In this embodiment, the blood oxygen saturation of a normal person is between 95% and 100%, and the blood oxygen saturation of less than 88% is considered as low blood oxygen and unsafe.
In the embodiment, the sleep quality determination standard means that the normal sleep time is kept at 7-9 hours, the individual difference is considered to be set at 6-10 hours, and the deep sleep time medicine accounts for 20-40% of the total sleep time.
The beneficial effects of the above technical scheme are that: the invention divides the data comparison unit into a plurality of comparison sub elements, and different units process different data, so that a plurality of data processing are simultaneously carried out, the data processing efficiency is improved, and the data processing waiting time is reduced.
Example 4:
on the basis of embodiment 3, the sleep contrast subunit includes:
the method comprises the steps of obtaining screen-off time of the mobile phone, marking the screen-off time as first time when the screen-off time is night, taking the first time as sleep start time of a mobile phone user if the screen of the mobile phone is not opened again within first preset time after the first time, and continuously obtaining breathing data of the mobile phone user of the mobile phone;
generating a composite sound wave image according to the breathing data, determining a target sound wave of a mobile phone user, and obtaining a target sound wave image;
determining the time length corresponding to each sleep stage of the mobile phone user according to the change rule of the target sound wave image, generating a sleep distribution map, evaluating the sleep monitoring quality of the mobile phone user based on the sleep distribution map, and obtaining a sleep monitoring result.
In this embodiment, the method for generating the composite sound wave image according to the breathing data and determining the target sound wave of the mobile phone user is as follows:
acquiring daily call sound waves of a mobile phone user as net sound waves, generating net sound wave images and acquiring first voiceprint characteristics of the mobile phone user;
meanwhile, generating a composite sound wave image according to the breathing data to obtain time domain characteristics of the sleep sound wave, and comparing the time domain characteristics with standard sound time domain characteristics of human voice to obtain sound change characteristics;
obtaining a second voiceprint characteristic according to the sound change characteristic and the first voiceprint characteristic;
separating the composite sound wave image into a plurality of single sound wave images based on a voice separation model, and respectively obtaining third voiceprint characteristics corresponding to the single sound waves;
and comparing the second voiceprint characteristic with the third voiceprint characteristic to determine the target voiceprint of the mobile phone user.
Wherein, the net sound wave is a sound wave signal only containing the own voice of the mobile phone user. A net acoustic image refers to an acoustic image of a net acoustic wave.
The first voiceprint characteristic refers to characteristics of tone, volume, tone color and the like of the voice of the user
The time domain characteristics of the sleep sound waves refer to the sound characteristics of the sound (including snore, sleep talking, breathing sound and the like) emitted in a sleep state under normal conditions.
The standard sound time domain feature refers to the sound feature of normal speaking in the waking state.
The sound variation characteristic is a difference between a sound characteristic of normal speech in a waking state and a sound characteristic of sound (including snoring, sleep, breathing, and the like) emitted in a sleeping state.
The second voiceprint characteristic refers to the voiceprint characteristic of the mobile phone user, which is obtained by adjusting and predicting the first voiceprint characteristic of the mobile phone user according to the change of the sound in the sleep state and the waking state.
The third voiceprint feature is a voiceprint feature corresponding to a sound in each single sound wave image, which is obtained by separating a plurality of sounds in the composite sound wave image.
In this embodiment, the night is 6 pm to 5 am.
In this embodiment, the screen turning-off time refers to the time when the screen of the mobile phone is closed, and the first time refers to any screen turning-off time within 5 am after 6 pm.
In this embodiment, the first preset time duration is a time interval used for determining whether the mobile phone user starts to sleep, and when the mobile phone screen is closed and the mobile phone is still not turned on after the time interval, it is determined that the mobile phone user enters a sleep state.
In this embodiment, the sleep start time is a time point at which a mobile phone user starts to enter a sleep state.
In this embodiment, the composite acoustic image refers to an acoustic image generated by speaking a sentence according to sound contained in the acquired respiratory data, and the image may contain sleep respiratory sounds of multiple persons.
In this embodiment, the target sound wave refers to a sound (including snore, dream, breath, etc.) emitted by a mobile phone user in a sleep state.
In this embodiment, the sleep profile determines the deep sleep period and the time distribution of the deep sleep period of the user according to the change rule of the sound (target sound wave) of the mobile phone user, and the deep sleep period is longer and deeper than the breathing sound emitted by the user in the deep sleep period.
The beneficial effects of the above technical scheme are that: the method comprises the steps of monitoring the sleep start time of a mobile phone user according to the screen-off time of the mobile phone, continuously acquiring the breathing data of the mobile phone user of the mobile phone after the mobile phone user is determined to enter a sleep state, acquiring the net sound wave and the voiceprint characteristic (first voiceprint characteristic) of the mobile phone user from daily communication, adjusting the voiceprint characteristic according to the sound difference between the human sleep state and the waking state, and predicting the sleep voiceprint characteristic (second voiceprint characteristic) of the mobile phone user; and then according to the second acoustic wave characteristic, determining a target acoustic wave corresponding to the mobile phone user in the composite acoustic wave with the interference acoustic wave, according to the change rule of the target acoustic wave image, determining the duration corresponding to each sleep stage of the mobile phone user, generating a sleep distribution map, evaluating the sleep monitoring quality of the mobile phone user based on the sleep distribution map, and obtaining a sleep monitoring result. The invention eliminates the interference of other sound waves, can accurately identify the sleep sound of the mobile phone user even in a multi-person environment, and can accurately monitor.
Example 5:
on the basis of embodiment 1, the result display module, as shown in fig. 3, includes:
the report generating unit is used for adding the health monitoring result and the health index to the corresponding position of the health data display template to obtain a health monitoring report;
the data link unit is used for adding data hyperlinks to index names of all health indexes on the health monitoring report to generate a final health monitoring report;
and the data display unit is used for displaying the final health monitoring report.
In this embodiment, the health data shows a template for displaying the health monitoring result stored in the template database.
In this embodiment, the index name refers to a name of each health index on the health data display template.
In this embodiment, the data hyperlink content is a specific analysis report of each health index.
In this embodiment, the final health monitoring report refers to a health monitoring report to which specific analysis report hyperlinks of the health indicators are added.
The beneficial effects of the above technical scheme are as follows: according to the invention, the health monitoring result and the health index are added to the corresponding position of the health data display template to obtain the health monitoring report, so that the health monitoring report is convenient for a user to check, meanwhile, the data record of a rational system is also provided, the data hyperlink is added to the index name of each health index on the health monitoring report to generate the final health monitoring report, and then the final health monitoring report is displayed through the data display unit, so that the user can check detailed contents conveniently and know the own physical condition in time.
Example 6:
on the basis of embodiment 5, the data link unit includes:
and the data updating subunit is used for updating the corresponding content of the data hyperlink on the health monitoring report according to the monitoring time of the health monitoring report when the health monitoring report is generated.
In this embodiment, the monitoring time refers to a health monitoring report generation time.
The beneficial effects of the above technical scheme are that: according to the invention, when a health monitoring report is generated, the data updating subunit updates the corresponding content of the data hyperlink on the health monitoring report according to the monitoring time of the health monitoring report, so that the timeliness of the data is ensured.
Example 7:
on the basis of embodiment 1, a smart phone with a health measurement system further includes:
the motion monitoring module is used for monitoring the motion condition of the mobile phone user and scoring the motion of the mobile phone user according to the motion condition in the preset time;
the motion monitoring module, as shown in fig. 4, includes:
the real-time monitoring unit is used for monitoring the dynamic action of the mobile phone user and acquiring action data, wherein the action data comprises position data of the mobile phone user and mobile phone vibration data;
the type identification unit is used for determining the motion type of the mobile phone user according to the action data, determining the motion intensity of the mobile phone user according to the motion type and the action data, and determining the actual consumed energy of the motion;
and the report adding unit is used for generating an exercise monitoring report based on the exercise intensity and the actual consumed energy, and sending the exercise monitoring report to the data display unit as an additional supplementary report.
In this embodiment, the dynamic action refers to an action that occurs when a mobile phone user carries the mobile phone, such as riding, walking, running, riding (driving), and the like.
In this embodiment, the position data includes a position change situation and a time of each position change.
In this embodiment, the mobile phone vibration data refers to mobile phone vibration caused by actions of a mobile phone user, and the vibration is generated by the mobile phone under an external force.
In this embodiment, the exercise types include an expendable exercise class and a non-expendable exercise class, where the expendable exercise class refers to energy consumption of the mobile phone user itself generated in the exercise process of the mobile phone user, and for example, riding, walking, running, and the like all consume energy of the user itself.
The beneficial effects of the above technical scheme are that: according to the invention, the dynamic action of the mobile phone user is monitored to obtain action data, the motion type of the mobile phone user is determined, the motion intensity of the mobile phone user is determined according to the motion type and the action data, the actual consumed energy of the motion is determined, a motion monitoring report is generated based on the motion intensity and the actual consumed energy, and the motion monitoring report is sent to a data display unit as an attached sheet supplement report, so that the motion monitoring of the mobile phone user is completed, and the mobile phone user can know the specific daily motion condition in time.
Example 8:
on the basis of embodiment 7, the type identification unit includes:
the judging subunit is used for acquiring vibration data of the mobile phone according to a preset acquisition frequency, calculating a vibration frequency, and judging that a mobile phone user is moving when the vibration frequency of the mobile phone is greater than the preset frequency;
the determining subunit is used for determining a local shaking period of the mobile phone based on the vibration data when the motion type is a consumable motion type, counting the consumable motion type motion according to the local shaking period, and determining the motion intensity according to a counting result and the motion time;
the calculating subunit is used for acquiring weight data of the mobile phone user, determining a magnitude corresponding to the mobile phone user in an energy consumption reference standard, and determining unit calorie consumption of the mobile phone user under the exercise intensity; and acquiring the actual consumption energy of the mobile phone user in the exercise time based on the unit heat consumption.
In this embodiment, the method for determining the motion type of the mobile phone user is as follows:
when the mobile phone user is determined to be moving, acquiring position data of the mobile phone, and determining a movement track of the mobile phone user based on the position data;
and acquiring the path length and the movement time corresponding to the movement track, calculating the movement speed of the mobile phone user, and determining the movement type of the mobile phone user based on the movement speed.
In this embodiment, the vibration frequency refers to the vibration frequency of the mobile phone in a unit time.
In this embodiment, the local shaking period refers to a period of vibration of the mobile phone, that is, in a process of vibrating the mobile phone up and down, the mobile phone is vibrated from the original position and then returns to the original position.
In this embodiment, the exercise intensity refers to the exercise speed per unit time (for example, 1 hour), and is also the actual exercise intensity.
In this embodiment, the actual consumption energy is an energy consumption value obtained by multiplying the actual unit heat consumption by the exercise time.
In this embodiment, the energy consumption reference standard refers to energy consumption of different specific types stored in the stored data in unit time for different movements;
the unit calorie consumption refers to energy values consumed by different types of exercises in unit time, and the energy consumption of the same exercise is different according to actual exercise conditions, and is specifically calculated as follows:
obtaining the standard exercise intensity of the current exercise type in the energy consumption reference standard and the actual exercise intensity of the mobile phone user, and calculating according to the following formula:
wherein τ refers to the actual unit heat consumption of the current type of motion; tau. 0 Representing the unit heat consumption corresponding to the current motion type in the energy consumption reference standard; alpha is alpha 1 A standard exercise intensity representing a current exercise type in the energy expenditure reference standard; alpha (alpha) ("alpha") 2 And representing the actual exercise intensity of the mobile phone user of the front exercise type.
The beneficial effects of the above technical scheme are that: the method comprises the steps of collecting vibration data of a mobile phone according to a preset collection frequency, calculating the vibration frequency, judging that a mobile phone user is moving when the vibration frequency of the mobile phone is larger than the preset frequency, determining the movement type of the mobile phone user according to the movement speed, counting the consumable movement type movement according to a local shaking period, determining the movement intensity according to the counting result and the movement time, determining the magnitude corresponding to the mobile phone user in an energy consumption reference standard according to the weight data of the mobile phone user, and determining the unit heat consumption of the consumable movement type movement of the mobile phone user under the movement intensity; and acquiring the actual consumption energy of the mobile phone user in the exercise time based on the unit heat consumption, so that the user can visually know the exercise energy consumption of the user.
Example 9:
on the basis of embodiment 1, a smart phone with a health measurement system further includes: a hazard warning module comprising:
the danger judging unit is used for acquiring the current using height of the mobile phone when the vibration value corresponding to the vibration data of the mobile phone is suddenly increased and is greater than the vibration threshold value, comparing the current using height with the common heights in the common height list to obtain a plurality of height differences, judging that the mobile phone is abnormally dropped when the height differences are not within corresponding error intervals, acquiring the real-time positioning of the mobile phone, and sending the positioning to an emergency contact;
otherwise, acquiring a second time corresponding to the shock sudden-increase point, if the screen of the mobile phone is not opened again within a second preset time after the second time, positioning the mobile phone at the moment of dropping the mobile phone, and sending the mobile phone positioning to an emergency contact; and if the screen of the mobile phone is opened again within a second preset time after the second time, judging that the mobile phone is normally dropped.
In this embodiment, the sudden increase of the vibration value means that the vibration value of the mobile phone is suddenly increased due to an external force, and the degree of the increase is greater than the increase of the vibration caused by movement.
In this embodiment, the current usage height refers to the usage height of the mobile phone before the shock value suddenly increases.
In this embodiment, the real-time positioning refers to positioning all positions of the mobile phone from the moment of falling to the moment of falling.
In this embodiment, the second time is a time corresponding to the shock sudden increase point.
In this embodiment, the second preset duration is a time interval used for determining whether the mobile phone user normally drops, and after the mobile phone drops, the mobile phone is still not turned on after the time interval, and it is determined that the mobile phone abnormally drops, otherwise, the mobile phone normally drops.
The beneficial effects of the above technical scheme are that: when the vibration value corresponding to the vibration data of the mobile phone is suddenly increased and is greater than a vibration threshold value, acquiring the current use height of the mobile phone, comparing the current use height with the common heights in the common height list to obtain a plurality of height differences, judging that the mobile phone is abnormally dropped when the height differences are not in corresponding error intervals, acquiring the real-time positioning of the mobile phone, and sending the real-time positioning to an emergency contact person; otherwise, acquiring a second time corresponding to the shock sudden-increase point, if the screen of the mobile phone is not opened again within a second preset time after the second time, positioning the mobile phone at the moment of dropping the mobile phone, and sending the mobile phone positioning to an emergency contact; and if the screen of the mobile phone is opened again within a second preset time after the second time, judging that the mobile phone is normally dropped. The invention judges whether the mobile phone user is in a dangerous state according to the dropping condition of the mobile phone, when the mobile phone is abnormally dropped, the mobile phone user has certain probability to be in the dangerous state, at the moment, the mobile phone user can not be contacted automatically due to emergency (for example, sudden diseases), at the moment, the mobile phone is positioned and sent to an emergency contact person, the actual condition of the mobile phone user can be further confirmed by the emergency contact person, measures are taken according to the actual condition, the phenomenon that the sudden diseases of the mobile phone user cannot be cured timely is avoided, and meanwhile, the phenomenon of wrong dialing caused by misjudgment of the telephone is avoided without directly dialing the emergency call. Meanwhile, the mobile phone positioning is sent, so that the emergency contact person can conveniently and quickly confirm the position of the mobile phone user.
Example 10:
on the basis of embodiment 9, the danger alarm module further includes:
the common height determining unit is used for acquiring historical use data of the mobile phone, acquiring height positioning data of the mobile phone based on the historical use data, generating a first height discrete graph, sequencing the use heights corresponding to the mobile phone according to the first height discrete graph to obtain a height sequence, and adjusting the first height discrete graph according to the height sequence to obtain a second height discrete graph;
obtaining a height distribution characteristic according to the second height dispersion map; dividing the mobile phone use height into a plurality of height intervals according to the height distribution characteristics, calculating an average height value based on the height values corresponding to the height intervals, and taking the average height value as the mobile phone common height;
and acquiring common heights corresponding to all the high area regions to generate a common height list, and determining an error region corresponding to each common height of the mobile phone according to an upper limit height value and a lower limit height value of the height region.
In this embodiment, the historical usage data includes usage height of the mobile phone, mobile phone operation data, and the like.
In this embodiment, the altitude positioning data refers to a distance from the mobile phone to the ground when the mobile phone user uses the mobile phone each time.
In this embodiment, the first altitude discrete map generates the altitude value discrete map in time series according to the time carried by the altitude positioning data, and the abscissa of the first altitude discrete map is time and the ordinate thereof is the altitude value (use altitude).
In this embodiment, the height sequence is a sequence obtained by arranging the use height values in the first height dispersion map in descending order.
In this embodiment, the second height discrete map refers to a discrete map of the use height obtained by adjusting the first height discrete map according to the order of the height sequence, wherein the ordinate of the second height discrete map is the height value (use height), and the abscissa has no practical meaning.
In this embodiment, the height distribution feature means that the height is concentrated and distributed in some area.
In this embodiment, the height interval refers to a region where the height is distributed, for example, during learning, the height of the mobile phone is generally consistent with the height of the desktop and ranges from 70 cm to 90cm.
In this embodiment, the common height is an average value of all the used heights in each height interval.
In this embodiment, the upper limit height value is a maximum value in each height interval, the lower limit height value is a minimum value in each height interval, the error interval is a difference between the current usage height and a height longer than the current usage height, the current usage height is determined as a common usage height in the interval, a mobile phone dropped from the current usage height is dropped normally, the interval upper limit value of the error interval is a difference between the upper limit height value and the lower limit height value, and the lower limit value is zero.
The beneficial effects of the above technical scheme are that: the method comprises the steps of obtaining historical use data of the mobile phone, and obtaining altitude positioning data of the mobile phone based on the historical use data; generating a first altitude discrete graph based on the altitude positioning data, sequencing the corresponding use altitudes of the mobile phone according to the first altitude discrete graph to obtain an altitude sequence, and adjusting the first altitude discrete graph according to the altitude sequence to obtain a second altitude discrete graph; obtaining a height distribution characteristic according to the second height discrete map; and dividing the mobile phone use height into a plurality of height intervals according to the height distribution characteristics, calculating an average height value based on the height values corresponding to the height intervals, and taking the average height value as the mobile phone common height. Providing a basis for subsequent mobile phone drop type judgment; the method comprises the steps of obtaining common heights corresponding to all high-area regions to generate a common height list, determining an error region corresponding to each common height of the mobile phone according to an upper limit height value and a lower limit height value of the height region, improving the fault tolerance rate of mobile phone dropping type judgment, and avoiding judgment errors caused by the change of using habits.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A smart phone with a health measurement system, comprising:
the data acquisition module is used for acquiring health data of a mobile phone user;
the data analysis module is used for analyzing each health index of the mobile phone user according to the health data to obtain a health monitoring result and calculating a health index of the mobile phone user according to the health monitoring result;
and the result display module is used for displaying the health monitoring result and the health index.
2. The smartphone with health measurement system according to claim 1, wherein the data analysis module includes:
the data processing unit is used for determining the data type of the health data according to the identity carried by the health data;
the distribution unit is used for sending the health data to a specified position according to the analysis requirements of each health index;
the data comparison unit is used for receiving the health data corresponding to each health index, comparing the health data with the index judgment standard in the database and obtaining the health monitoring result of each health index;
the index calculation unit is used for calculating the health index of the mobile phone user according to the deviation rate between the measured value of each health index and the standard value in the health monitoring result;
and the health early warning unit is used for sending a system notice to the mobile phone message notice bar to remind a mobile phone user when the health index is smaller than the alarm threshold.
3. The smartphone with health measurement system according to claim 2, wherein the data comparison unit includes:
the temperature comparison subunit is used for receiving the temperature data, comparing the temperature data with the temperature judgment standard in the database and obtaining a temperature monitoring result;
the heart rate comparison subunit is used for receiving the heart rate data, comparing the heart rate data with the heart rate judgment standard in the database and obtaining a heart rate monitoring result;
the blood oxygen comparison subunit is used for receiving blood oxygen data, and comparing the blood oxygen data with blood oxygen determination standards in the database to obtain a blood oxygen monitoring result;
the sleep comparison subunit is used for receiving the respiratory data, comparing the respiratory data with sleep quality judgment standards in a database and obtaining a sleep monitoring result; wherein the respiratory data comprises respiratory frequency information and respiratory sound information.
4. The smart phone with the health measurement system as claimed in claim 3, wherein the sleep contrast subunit comprises:
the method comprises the steps of obtaining screen-off time of the mobile phone, marking the screen-off time as first time when the screen-off time is night, taking the first time as sleep start time of a mobile phone user if the screen of the mobile phone is not opened again within first preset time after the first time, and continuously obtaining breathing data of the mobile phone user of the mobile phone;
generating a composite sound wave image according to the breathing data, determining a target sound wave of a mobile phone user, and obtaining a target sound wave image;
determining the time length corresponding to each sleep stage of the mobile phone user according to the change rule of the target sound wave image, generating a sleep distribution map, evaluating the sleep monitoring quality of the mobile phone user based on the sleep distribution map, and obtaining a sleep monitoring result.
5. The smart phone with health measurement system as claimed in claim 1, wherein the result display module comprises:
the report generating unit is used for adding the health monitoring result and the health index to the corresponding position of the health data display template to obtain a health monitoring report;
the data link unit is used for adding data hyperlinks to index names of all health indexes on the health monitoring report to generate a final health monitoring report;
and the data display unit is used for displaying the final health monitoring report.
6. The smart phone with health measurement system as claimed in claim 5, wherein the data link unit comprises:
and the data updating subunit is used for updating the corresponding content of the data hyperlink on the health monitoring report according to the monitoring time of the health monitoring report when the health monitoring report is generated.
7. The smart phone with health measurement system of claim 1, further comprising:
the motion monitoring module is used for monitoring the motion condition of the mobile phone user and scoring the motion of the mobile phone user according to the motion condition in the preset time, and comprises the following steps:
the real-time monitoring unit is used for monitoring the dynamic action of the mobile phone user and acquiring action data, wherein the action data comprises position data of the mobile phone user and mobile phone vibration data;
the type identification unit is used for determining the motion type of the mobile phone user according to the action data, determining the motion intensity of the mobile phone user according to the motion type and the action data, and determining the actual consumed energy of the motion;
and the report adding unit is used for generating an exercise monitoring report based on the exercise intensity and the actual consumed energy, and sending the exercise monitoring report to the data display unit as an additional supplementary report.
8. The smartphone with health measurement system according to claim 7, wherein the type identification unit includes:
the judging subunit is used for acquiring vibration data of the mobile phone according to a preset acquisition frequency, calculating a vibration frequency, and judging that a mobile phone user is moving when the vibration frequency of the mobile phone is greater than the preset frequency;
the determining subunit is used for determining a local shaking period of the mobile phone based on the vibration data when the motion type is a consumable motion type, counting the consumable motion type motion according to the local shaking period, and determining the motion intensity according to a counting result and the motion time;
the calculating subunit is used for acquiring weight data of the mobile phone user, determining a magnitude corresponding to the mobile phone user in an energy consumption reference standard, and determining unit calorie consumption of the mobile phone user under the exercise intensity; and acquiring the actual consumption energy of the mobile phone user in the exercise time based on the unit heat consumption.
9. The smart phone with health measurement system of claim 1, further comprising: a hazard warning module comprising:
the danger judging unit is used for acquiring the current using height of the mobile phone when the vibration value corresponding to the vibration data of the mobile phone is suddenly increased and is greater than the vibration threshold value, comparing the current using height with the common heights in the common height list to obtain a plurality of height differences, judging that the mobile phone is abnormally dropped when the height differences are not within corresponding error intervals, acquiring the real-time positioning of the mobile phone, and sending the positioning to an emergency contact;
otherwise, acquiring a second time corresponding to the shock sudden-increase point, if the screen of the mobile phone is not opened again within a second preset time after the second time, positioning the mobile phone at the moment of dropping the mobile phone, and sending the mobile phone positioning to an emergency contact; and if the screen of the mobile phone is opened again within a second preset time after the second time, judging that the mobile phone is normally dropped.
10. The smartphone with health measurement system of claim 1, wherein the hazard warning module further comprises:
the common height determining unit is used for acquiring historical use data of the mobile phone, acquiring height positioning data of the mobile phone based on the historical use data, generating a first height discrete graph, sequencing the use heights corresponding to the mobile phone according to the first height discrete graph to obtain a height sequence, and adjusting the first height discrete graph according to the height sequence to obtain a second height discrete graph; obtaining a height distribution characteristic according to the second height dispersion map;
dividing the mobile phone use height into a plurality of height intervals according to the height distribution characteristics, calculating an average height value based on the height values corresponding to the height intervals, and taking the average height value as the mobile phone common height;
and acquiring common heights corresponding to all the high area regions to generate a common height list, and determining an error region corresponding to each common height of the mobile phone according to an upper limit height value and a lower limit height value of the height region.
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| CN117476181A (en) * | 2023-11-08 | 2024-01-30 | 广东医科大学附属第二医院 | Personalized static therapy plan generation method and system |
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