CN113693572A - Noninvasive multidimensional dynamic health management system and device - Google Patents
Noninvasive multidimensional dynamic health management system and device Download PDFInfo
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Abstract
The invention relates to the technical field of health Internet of things, and discloses a noninvasive multi-dimensional dynamic health management system and a noninvasive multi-dimensional dynamic health management device, wherein the system comprises: the information acquisition module transmits the physiological information and the body state information to the information analysis module through a preset transmission strategy; the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to preset health indexes and body state information to obtain corresponding health information, and sends the health information to the information display module; the information display module displays the health information according to a preset display strategy; the method and the device analyze the characteristic information in the physiological information through the preset health index and the body state information, and display the health information in the analysis result according to the preset display strategy so as to realize the management of the health of the user to be monitored.
Description
Technical Field
The invention relates to the technical field of health Internet of things, in particular to a non-invasive multi-dimensional dynamic health management system and device.
Background
With the continuous development of social economy, the living standard of people is continuously improved and the pace is accelerated, so that people do not pay more attention to the self health condition, and finally, more or less health problems are caused.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a non-invasive multi-dimensional dynamic health management system and a non-invasive multi-dimensional dynamic health management device, and aims to solve the technical problem that the accuracy of obtaining user health information cannot be effectively improved in the prior art.
To achieve the above object, the present invention provides a non-invasive multi-dimensional dynamic health management system, comprising: the system comprises an information acquisition module, an information analysis module and an information display module;
the information acquisition module is used for acquiring physiological information and body state information of a user to be monitored and transmitting the physiological information and the body state information to the information analysis module through a preset transmission strategy;
the information analysis module is used for extracting the characteristic information of the physiological information, analyzing the characteristic information according to a preset health index and the body state information to obtain corresponding health information, and sending the health information to the information display module;
and the information display module is used for displaying the health information according to a preset display strategy so as to realize the management of the health of the user to be monitored.
Optionally, the information analysis module includes a feature information combination module and a health analysis module;
the characteristic information combination module is used for extracting the characteristic information of the physiological information and combining the characteristic information according to a preset health index to obtain a corresponding characteristic information set;
the health analysis module is used for generating a health analysis model according to the characteristic information and a preset neural network model, analyzing the characteristic information set according to the health analysis model to obtain corresponding health information, and sending the health information to the information display module.
Optionally, the information display module includes an information judgment module and a policy selection module;
the information judgment module is used for extracting parameter information of the health information, acquiring a target normal label if the parameter corresponding to the parameter information is smaller than or equal to a target parameter, marking the health information according to the target normal label, and sending the marked health information to the strategy selection module;
the strategy selection module is used for acquiring the current motion state of a user to be monitored, selecting a target display strategy according to the current motion state and the marked health information, and displaying the marked health information and the state information corresponding to the current motion state according to the target display strategy.
Optionally, the policy selection module includes a curve generation module and a parameter display module.
The curve generation module is used for selecting target health information from the marked health information, acquiring demand information of a user to be monitored, generating a target health change curve according to the demand information and the target health information, and sending the target health change curve to the parameter display module;
the parameter display module is used for acquiring historical parameter information of target health information, extracting amplitude information of the target health change curve, and displaying the historical parameter information and the amplitude information.
Optionally, the policy selection module includes a block diagram generation module and a health display module.
The blocky graph generation module is used for selecting viscera health information from the marked health information, acquiring the demand information of a user to be monitored, generating a target health blocky graph according to the demand information and the viscera health information, and sending the target health blocky graph to the health display module;
and the health display module is used for scanning the target health block diagram, generating viscera normal information in a preset time period if a preset abnormal block diagram does not appear in the scanning result, and displaying the viscera normal information.
Optionally, the policy selection module is configured to generate a histogram and a level display module;
the histogram generation module is used for selecting blood pressure health information from the marked health information, acquiring demand information of a user to be monitored, generating a target health histogram according to the demand information and the blood pressure health information, and sending the target health histogram to the grade display module;
the grade display module is used for extracting parameter information of the target health histogram, generating blood pressure grade information according to the parameter information and displaying the blood pressure grade information.
Optionally, the information display module is further configured to extract historical parameter information, amplitude information, viscera normal information, and blood pressure level information in the display result, and determine the current health state of the user to be monitored according to the historical parameter information, the amplitude information, the viscera normal information, and the blood pressure level information, so as to implement management on the health of the user to be monitored.
Optionally, the noninvasive multidimensional dynamic health management system further comprises a blood pressure strategy reduction module and an early warning module;
the blood pressure strategy reduction module is used for acquiring a historical blood pressure reduction strategy of a user to be monitored if the grade corresponding to the blood pressure grade information is larger than a preset blood pressure grade, sorting the reduction rate of the historical blood pressure reduction strategy, and selecting a target blood pressure reduction strategy from the sorted historical blood pressure reduction strategies;
the early warning module is used for reducing the blood pressure value of the user to be monitored according to the target blood pressure reduction strategy, and if the reduced blood pressure value is larger than a preset blood pressure value, preset warning information is sent to a corresponding contact mode according to identity information so as to remind the user to be monitored to process in time.
Optionally, the system for noninvasive multi-dimensional dynamic health management further comprises: the monitoring module and the notification module;
the monitoring module is used for acquiring a health value of a user to be monitored, monitoring the health value in real time, and if the health value is not reduced within a preset time, inquiring a corresponding emergency contact way in a preset data management platform according to identity information of the user to be monitored, and sending the emergency contact way to the notification module;
and the notification module is used for sending preset warning information to the emergency contact mode so as to remind the user to be monitored to process in time.
In addition, to achieve the above object, the present invention further provides a noninvasive multidimensional dynamic health management apparatus applied to a noninvasive multidimensional dynamic health management system, the apparatus including: the system comprises an information acquisition module, an information analysis module and an information display module;
the information acquisition module acquires physiological information and body state information of a user to be monitored, and transmits the physiological information and the body state information to the information analysis module through a preset transmission strategy;
the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to a preset health index and the body state information to obtain corresponding health information, and sends the health information to the information display module;
the information display module displays the health information according to a preset display strategy so as to realize the management of the health of the user to be monitored.
The physiological information and the body state information are transmitted to the information analysis module through the preset transmission strategy by the information acquisition module; the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to preset health indexes and body state information to obtain corresponding health information, and sends the health information to the information display module; the information display module displays the health information according to a preset display strategy; the method and the device analyze the characteristic information in the physiological information through the preset health index and the body state information, and display the health information in the analysis result according to the preset display strategy so as to realize the management of the health of the user to be monitored.
Drawings
FIG. 1 is a block diagram of a non-invasive multi-dimensional dynamic health management system according to a first embodiment of the present invention;
FIG. 2 is a block diagram of a second embodiment of the noninvasive multi-dimensional dynamic health management system of the present invention;
FIG. 3 is a block diagram of a third embodiment of the noninvasive multidimensional dynamic health management system of the present invention;
fig. 4 is a flowchart illustrating a non-invasive multi-dimensional dynamic health management apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a block diagram illustrating a first embodiment of a non-invasive multi-dimensional dynamic health management system according to the present invention. The non-invasive multi-dimensional dynamic health management system comprises: the information acquisition module 10, the information analysis module 20 and the information display module 30.
In this embodiment, the information collecting module 10 in the noninvasive multidimensional dynamic health management system 100 may be a bracelet worn on a hand of a user to be monitored, a portable electronic collecting device, or another information collector capable of achieving the same function, and specifically, the function is to collect physiological information and body state information of the user to be monitored, and transmit the physiological information and the body state information to the information analyzing module 20 by a preset transmission strategy, where the physiological information refers to functional information of the user to be monitored during a life activity, the physiological information is divided into intrinsic physiological information and extrinsic physiological information, the intrinsic physiological information refers to physiological information inside a body, such as blood information, metabolic information, oxygen content information in blood, visceral information, and the like, and the extrinsic physiological information refers to physiological information that can be directly measured, for example, body temperature information, mind information, and the like, the body state information refers to state information of a body of a user to be monitored, the body state information is divided into exercise state information and non-exercise state information, the exercise state information includes walking, running, fitness, and the like, the non-exercise state information includes sitting, sleeping, and the like, the physiological information and the body state information are transmitted through a preset transmission policy, the preset transmission policy may be a bluetooth transmission policy, a data network transmission policy, or an Embedded (Embedded-SIM, ESIM) transmission policy, which is not limited in this embodiment, and is described by taking data network transmission as an example.
In this embodiment, the information analysis module 20 extracts feature information of the physiological information, analyzes the feature information according to a preset health index and body state information to obtain corresponding health information, and sends the health information to the information display module 30, wherein the feature information refers to blood flow form information, rate information, and the like in the physiological information, the blood flow form information refers to a form of blood flow of a user to be monitored during collection, such as a thin form, a normal form, a thick form, and the like, since the heart rate of the user to be monitored is increased and the blood flow rate is increased in an exercise state, the accuracy of obtaining the health information can be improved by analyzing the feature information in the physiological information according to the body state information, and the preset health index refers to an index capable of reflecting a health value of the user to be monitored, such as a heart rate, a blood pressure, a blood sugar, a blood oxygen, and blood pressure, The zang-fu organs and the heart and lung, etc.
Further, in order to effectively improve the accuracy of obtaining the health information, the information analysis module 20 includes a feature information combination module and a health analysis module.
In this embodiment, the feature information combining module extracts feature information of the physiological information, and combines the feature information according to a preset health index to obtain a corresponding feature information set, where the feature information set refers to a set formed by combining the feature information, and the criterion of the combination is based on the preset health index, for example, the influence factor of the blood pressure trend is a blood flow form and a blood flow rate in the blood information, that is, the preset health index is a blood pressure trend, and the feature information set is the blood flow form and the blood flow rate.
In the embodiment, the health analysis module generates a health analysis model according to the characteristic information and the preset neural network model, analyzing the characteristic information set according to a health analysis model to obtain corresponding health information, sending the health information to the information display module, wherein the preset neural network model refers to a network model composed of an output layer, an intermediate layer and a hidden layer, the preset neural network model may be a convolutional neural network model (CNN) or a recurrent neural network model (RNN), which is not limited in this embodiment, taking CNN as an example for explanation, CNN is trained through the characteristic information to obtain a health analysis model, and analyzing the characteristic information set according to the health analysis model to obtain the health information of the user to be monitored, wherein the health information comprises the current heart rate, the current blood pressure value, the blood oxygen concentration and the like.
In this embodiment, the information display module 30 displays the health information according to a preset display strategy to manage the health of the user to be monitored, where the preset display strategy refers to a strategy for displaying different health information, and includes a graph, a histogram, a block diagram, and the like, the graph is used for displaying the current heart rate and blood glucose metabolism, the histogram is used for displaying a blood pressure trend, the block diagram is used for displaying the visceral state, including a normal state and an abnormal state, and after the health information is obtained, the health information is displayed through the corresponding display strategy to manage the health of the user to be monitored.
Further, in order to improve the display efficiency of the health information, the information display module 30 includes an information judgment module and a policy selection module.
In this embodiment, the information determining module extracts parameter information of the health information, and if a parameter corresponding to the parameter information is less than or equal to a target parameter, obtains a target normal tag, marks the health information according to the target normal tag, and sends the marked health information to the policy selecting module, where the parameter information refers to heart rate information, blood pressure information, blood glucose information, blood oxygen information, body temperature information, visceral information, cardiopulmonary information, and the like in the health information, and the target normal tag refers to a tag for marking the health information, and when the parameter corresponding to the parameter information is less than a target parameter value, the parameter information is marked as a normal tag, for example, a current heart rate is 84bpm, a target heart rate is 100bpm, and the health information is marked by the target normal tag.
In this embodiment, the policy selection module obtains a current exercise state of a user to be monitored, selects a target display policy according to the current exercise state and marked health information, and displays the marked health information and state information corresponding to the current exercise state according to the target display policy, where the current exercise state includes running or walking, and after the marked health information and the current exercise state are obtained, displays the marked health information and exercise steps obtained by the current exercise state.
Further, in order to improve the display efficiency of the health information, the strategy selection module comprises a curve generation module and a parameter display module.
In this embodiment, the curve generation module selects target health information from the marked health information, acquires demand information of a user to be monitored, generates a target health change curve according to the demand information and the target health information, and sends the target health change curve to the parameter display module, where the target health information refers to health information to be displayed, for example, the target health information is a current heart rate or blood sugar metabolism, the demand information refers to target health information that the user to be monitored wants to view within a preset time period, for example, the user to be monitored wants to view a heart rate change curve of 9:00-16:00, and generates a corresponding heart rate change curve according to the demand information and the target health information, and the heart rate change curve is the target health change curve.
In this embodiment, the parameter display module obtains historical parameter information of the target health information, extracts amplitude information of the target health change curve, and displays the historical parameter information and the amplitude information, where the historical parameter information refers to parameter information corresponding to the target health information, extracts maximum amplitude information and minimum amplitude information in the target health change curve, calculates a corresponding average value for the target health change curve, and displays, in a display form of a graph, the target health information, a current heart rate, an average heart rate, a today highest heart rate, a today lowest heart rate, a yesterday highest heart rate, a yesterday lowest heart rate, and the like in a preset time period when the target health information is a current heart rate.
Further, in order to improve the display efficiency of the health information, the strategy selection module comprises a block diagram generation module and a health display module.
In this embodiment, the blockwise graph generating module selects viscera health information from the marked health information, obtains requirement information of the user to be monitored, generates a target health blockwise graph according to the requirement information and the viscera health information, and sends the target health blockwise graph to the health display module, where the viscera health information refers to health information of viscera of the user to be monitored, and includes normal information and abnormal information, the requirement information refers to target health information that the user to be monitored wants to view in a preset time period, which may be any time period, and this embodiment is described by taking a month as an example, for example, the user to be monitored wants to view viscera health information in 6 months, and generates a corresponding target health blockwise graph by counting the viscera health information of the user to be monitored in 6 months.
In this embodiment, the health display module scans the target health block diagram, and if a preset abnormal block diagram does not appear in the scanning result, generates the viscera normal information in a preset time period, and displays the viscera normal information, wherein the preset abnormal block diagram refers to a block diagram in which the viscera of the user to be monitored is in an abnormal state, and when the preset abnormal block diagram does not appear, the health information of the viscera of the user to be monitored is always in normal information in the preset time period, and if the preset abnormal block diagram appears at a certain time, the health information of the viscera at the time can be directly displayed in abnormal information.
Further, in order to improve the display efficiency of the health information, the strategy selection module comprises a histogram generation module and a grade display module.
In this embodiment, the histogram generation module selects blood pressure health information from the marked health information, acquires demand information of a user to be monitored, generates a target health histogram according to the demand information and the blood pressure health information, and sends the target health histogram to the level display module, where the blood pressure information refers to current blood pressure information of the user to be monitored, the demand information refers to target health information that the user to be monitored wants to check within a preset time period, for example, the user to be monitored wants to check a blood pressure change condition of 9:00-16:00, the target health histogram is generated through the demand information and the blood pressure health information, and a difference between a current blood pressure value and a target blood pressure value of the user to be monitored can be checked through the target health histogram.
In this embodiment, the level display module extracts parameter information of the target health histogram, generates blood pressure level information according to the parameter information, and displays the blood pressure level information, where the parameter information refers to a highest blood pressure value and a lowest blood pressure value in the target health histogram, and calculates an average blood pressure value and a blood pressure level of a user to be monitored in a preset time according to the target health histogram, including a current blood pressure level and a yesterday blood pressure level.
In this embodiment, the information display module extracts historical parameter information, amplitude information, viscera normal information and blood pressure grade information in the display result, and determines the current health state of the user to be monitored according to the historical parameter information, the amplitude information, the viscera normal information and the blood pressure grade information to realize the management of the health of the user to be monitored, wherein the current health state of the user to be monitored is comprehensively measured by the historical parameter information, the amplitude information, the viscera normal information and the blood pressure grade information, if the parameter information is all normal, the current health state of the user to be monitored is a health state, and if the parameter information exceeds two items, the current health state of the user to be monitored is a sub-health state or a non-health state.
In the embodiment, the physiological information and the body state information are transmitted to the information analysis module through the information acquisition module by a preset transmission strategy; the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to preset health indexes and body state information to obtain corresponding health information, and sends the health information to the information display module; the information display module displays the health information according to a preset display strategy; the method comprises the steps of analyzing characteristic information in the physiological information through preset health indexes and body state information, displaying the health information in an analysis result according to a preset display strategy to achieve management of health of a user to be monitored, and compared with the prior art that the health information of the user is measured through single data, the method can effectively improve accuracy of obtaining the health information of the user.
Referring to fig. 2, fig. 2 is a block diagram illustrating a structure of a noninvasive multidimensional dynamic health management system according to a second embodiment of the present invention, and the noninvasive multidimensional dynamic health management system according to the second embodiment of the present invention is proposed based on the embodiment shown in fig. 1.
In this embodiment, the noninvasive multidimensional dynamic health management system 100 further includes a blood pressure policy reduction module 40 and an early warning module 50, where if the level corresponding to the level information is greater than a preset health level, the blood pressure policy reduction module 40 acquires historical blood pressure reduction policies of the user to be monitored, sorts the reduction rates of the historical blood pressure reduction policies, and selects a target blood pressure reduction policy from the sorted historical blood pressure reduction policies, where the preset health level refers to a highest health level that the user to be monitored can bear under a safe condition, when the preset health level is exceeded, a safety problem occurs to the user to be monitored, the historical blood pressure reduction policies refer to blood pressure reduction policies when the health value of the user to be monitored exceeds a safety range, and different blood pressure reduction policies are directed at hypertension under different situations, so that the blood pressure reduction policies have different corresponding health reduction rates, after the historical blood pressure reduction strategy is obtained, the historical blood pressure reduction strategy is subjected to descending sorting through the reduction rate, the sorting order at this time is from the maximum reduction rate to the minimum reduction rate, and the target blood pressure reduction strategy refers to the blood pressure reduction strategy corresponding to the maximum reduction rate.
In this embodiment, the early warning module 50 reduces the health value of the user to be monitored according to the target blood pressure reduction strategy, and if the reduced health value is greater than the preset health value, sends preset warning information to the corresponding contact way according to the identity information to remind the user to be monitored to process in time, where the preset health value refers to the maximum health value among the safety health values provided by the health platform, and if the health value reduced by the target blood pressure reduction strategy is still greater than the preset health value, the corresponding contact way is queried according to the identity information of the user to be monitored, and the preset warning information is sent to the contact way, where the preset warning information refers to information to remind the user to be monitored, and if the user to be monitored is in a motion state, the user to be monitored is reminded to stop moving, and if the user to be monitored is in a drinking state, the user to be reminded to stop drinking, and the like.
In this embodiment, if the level corresponding to the level information is greater than the preset health level, the health policy reduction module acquires the historical health reduction policies of the user to be monitored, sorts the reduction rates of the historical health reduction policies, and selects a target health reduction policy from the sorted historical health reduction policies; the early warning module reduces the health value of the user to be monitored according to the target health reduction strategy, if the reduced health value is larger than the preset health value, preset warning information is sent to the corresponding contact way according to the identity information, the target health reduction strategy is selected according to the reduction rate of health from the historical health reduction strategy, the health value of the user to be monitored is reduced according to the target health reduction strategy, the reduced health value is larger than the preset health value, the contact way of the user to be monitored sends early warning information to remind the user to be monitored to process in time, and therefore the safety of the user to be monitored can be effectively improved.
Referring to fig. 3, fig. 3 is a block diagram illustrating a structure of a third embodiment of the noninvasive multidimensional dynamic health management system according to the present invention, and the third embodiment of the noninvasive multidimensional dynamic health management system according to the present invention is proposed based on the embodiment shown in fig. 1.
In this embodiment, the system 100 for non-invasive and multi-dimensional dynamic health management further includes a monitoring module 60 and a notification module 70, the monitoring module 60 obtains a health value of a user to be monitored, and performs real-time monitoring on the health value, if the health value is not reduced within a preset time, then queries a corresponding emergency contact way on a preset data management platform according to identity information of the user to be monitored, and sends the emergency contact way to the notification module 70, where the preset time refers to a monitoring time for determining whether the health value of the user to be monitored is reduced, and the preset time may be 5 minutes or 10 minutes, this embodiment is not limited, and is described by taking 5 minutes as an example, the preset data management platform refers to a data management platform for personal information of a physical examination and treatment user, and if the health value of the user to be monitored is not reduced within the preset time, life hazards may arise, for example, a faint situation where the emergency contacts of the user to be monitored need to be notified to remind them.
In this embodiment, the notification module 70 sends preset warning information to the emergency contact information to remind the user to be monitored to process in time, where the emergency contact information refers to a contact information of an emergency contact of the user to be monitored, the emergency contact information can be queried on the preset management platform only in an emergency, and the user to be monitored is reminded through the emergency contact information, so that the user to be monitored draws attention and processes.
In the embodiment, the health value of the user to be monitored is acquired through the monitoring module, the health value is monitored in real time, if the health value is not reduced within the preset time, the corresponding emergency contact way is inquired on the preset data management platform according to the identity information of the user to be monitored, and the emergency contact way is sent to the notification module; the notification module sends preset warning information to the emergency contact mode, and when the blood pressure value of the user to be monitored is not reduced within the preset time, the preset warning information is sent to the emergency contact mode to remind the user to be monitored to process in time, so that the safety of the user to be monitored is effectively improved.
Referring to fig. 4, the system for non-invasive multidimensional dynamic health management of the present invention provides a non-invasive multidimensional dynamic health management apparatus, and fig. 4 is a schematic flow chart of a first embodiment of the system for non-invasive multidimensional dynamic health management of the present invention, wherein the system for non-invasive multidimensional dynamic health management of the present invention comprises: the system comprises an information acquisition module, an information analysis module and an information display module;
step S10, the information acquisition module acquires physiological information and body state information of a user to be monitored, and transmits the physiological information and the body state information to the information analysis module through a preset transmission strategy.
Wherein, the physiological information refers to the function information of the user to be monitored in the process of life activity, the physiological information is divided into internal physiological information and external physiological information, the internal physiological information refers to the physiological information in the body, such as blood information, metabolic information, oxygen content information in blood, viscera information and the like, the external physiological information refers to the physiological information which can be directly measured, such as body temperature information, heart information and the like, the body state information refers to the state information of the body of the user to be monitored, the body state information is divided into motion state information and non-motion state information, the motion state information includes walking, running, fitness and the like, the non-motion state information includes sitting still, sleeping and the like, the physiological information and the body state information are transmitted through a preset transmission strategy, and the preset transmission strategy can be a Bluetooth transmission strategy, the present embodiment is not limited to this, and data network transmission is taken as an example for explanation.
Step S20, the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to a preset health index and the body state information to obtain corresponding health information, and sends the health information to the information display module.
The characteristic information refers to blood flow form information, speed information and the like in the physiological information, the blood flow form information refers to the form of blood flow of a user to be monitored during collection, such as a thin form, a normal form, a thick form and the like, the heart rate of the user to be monitored is accelerated and the blood flow speed is increased in a motion state, the accuracy of health information can be improved by analyzing the characteristic information in the physiological information according to the body state information, and the preset health index refers to an index capable of reflecting the health value of the user to be monitored, such as the heart rate, the blood pressure, the blood sugar, the blood oxygen, the viscera, the heart and the lung and the like.
Further, in order to effectively improve the accuracy of obtaining the health information, the information analysis module comprises a characteristic information combination module and a health analysis module.
In this embodiment, the feature information combining module extracts feature information of the physiological information, and combines the feature information according to a preset health index to obtain a corresponding feature information set, where the feature information set refers to a set formed by combining the feature information, and the criterion of the combination is based on the preset health index, for example, the influence factor of the blood pressure trend is a blood flow form and a blood flow rate in the blood information, that is, the preset health index is a blood pressure trend, and the feature information set is the blood flow form and the blood flow rate.
In the embodiment, the health analysis module generates a health analysis model according to the characteristic information and the preset neural network model, analyzing the characteristic information set according to a health analysis model to obtain corresponding health information, sending the health information to the information display module, wherein the preset neural network model refers to a network model composed of an output layer, an intermediate layer and a hidden layer, the preset neural network model may be a convolutional neural network model (CNN) or a recurrent neural network model (RNN), which is not limited in this embodiment, taking CNN as an example for explanation, CNN is trained through the characteristic information to obtain a health analysis model, and analyzing the characteristic information set according to the health analysis model to obtain the health information of the user to be monitored, wherein the health information comprises the current heart rate, the current blood pressure value, the blood oxygen concentration and the like.
And step S30, the information display module displays the health information according to a preset display strategy so as to realize the management of the health of the user to be monitored.
The preset display strategy refers to a strategy for displaying different health information, and comprises a curve graph, a histogram, a block diagram and the like, wherein the curve graph is used for displaying the current heart rate and blood sugar metabolism, the histogram is used for displaying the blood pressure trend, the block diagram is used for displaying the visceral state, including the normal state and the abnormal state, and after the health information is obtained, the health information is displayed through the corresponding display strategy, so that the health management of a user to be monitored is realized.
Further, in order to improve the display efficiency of the health information, the information display module 30 includes an information judgment module and a policy selection module.
In this embodiment, the information determining module extracts parameter information of the health information, and if a parameter corresponding to the parameter information is less than or equal to a target parameter, obtains a target normal tag, marks the health information according to the target normal tag, and sends the marked health information to the policy selecting module, where the parameter information refers to heart rate information, blood pressure information, blood glucose information, blood oxygen information, body temperature information, visceral information, cardiopulmonary information, and the like in the health information, and the target normal tag refers to a tag for marking the health information, and when the parameter corresponding to the parameter information is less than a target parameter value, the parameter information is marked as a normal tag, for example, a current heart rate is 84bpm, a target heart rate is 100bpm, and the health information is marked by the target normal tag.
In this embodiment, the policy selection module obtains a current exercise state of a user to be monitored, selects a target display policy according to the current exercise state and marked health information, and displays the marked health information and state information corresponding to the current exercise state according to the target display policy, where the current exercise state includes running or walking, and after the marked health information and the current exercise state are obtained, displays the marked health information and exercise steps obtained by the current exercise state.
Further, in order to improve the display efficiency of the health information, the strategy selection module comprises a curve generation module and a parameter display module.
In this embodiment, the curve generation module selects target health information from the marked health information, acquires demand information of a user to be monitored, generates a target health change curve according to the demand information and the target health information, and sends the target health change curve to the parameter display module, where the target health information refers to health information to be displayed, for example, the target health information is a current heart rate or blood sugar metabolism, the demand information refers to target health information that the user to be monitored wants to view within a preset time period, for example, the user to be monitored wants to view a heart rate change curve of 9:00-16:00, and generates a corresponding heart rate change curve according to the demand information and the target health information, and the heart rate change curve is the target health change curve.
In this embodiment, the parameter display module obtains historical parameter information of the target health information, extracts amplitude information of the target health change curve, and displays the historical parameter information and the amplitude information, where the historical parameter information refers to parameter information corresponding to the target health information, extracts maximum amplitude information and minimum amplitude information in the target health change curve, calculates a corresponding average value for the target health change curve, and displays, in a display form of a graph, the target health information, a current heart rate, an average heart rate, a today highest heart rate, a today lowest heart rate, a yesterday highest heart rate, a yesterday lowest heart rate, and the like in a preset time period when the target health information is a current heart rate.
Further, in order to improve the display efficiency of the health information, the strategy selection module comprises a block diagram generation module and a health display module.
In this embodiment, the blockwise graph generating module selects viscera health information from the marked health information, obtains requirement information of the user to be monitored, generates a target health blockwise graph according to the requirement information and the viscera health information, and sends the target health blockwise graph to the health display module, where the viscera health information refers to health information of viscera of the user to be monitored, and includes normal information and abnormal information, the requirement information refers to target health information that the user to be monitored wants to view in a preset time period, which may be any time period, and this embodiment is described by taking a month as an example, for example, the user to be monitored wants to view viscera health information in 6 months, and generates a corresponding target health blockwise graph by counting the viscera health information of the user to be monitored in 6 months.
In this embodiment, the health display module scans the target health block diagram, and if a preset abnormal block diagram does not appear in the scanning result, generates the viscera normal information in a preset time period, and displays the viscera normal information, wherein the preset abnormal block diagram refers to a block diagram in which the viscera of the user to be monitored is in an abnormal state, and when the preset abnormal block diagram does not appear, the health information of the viscera of the user to be monitored is always in normal information in the preset time period, and if the preset abnormal block diagram appears at a certain time, the health information of the viscera at the time can be directly displayed in abnormal information.
Further, in order to improve the display efficiency of the health information, the strategy selection module comprises a histogram generation module and a grade display module.
In this embodiment, the histogram generation module selects blood pressure health information from the marked health information, acquires demand information of a user to be monitored, generates a target health histogram according to the demand information and the blood pressure health information, and sends the target health histogram to the level display module, where the blood pressure information refers to current blood pressure information of the user to be monitored, the demand information refers to target health information that the user to be monitored wants to check within a preset time period, for example, the user to be monitored wants to check a blood pressure change condition of 9:00-16:00, the target health histogram is generated through the demand information and the blood pressure health information, and a difference between a current blood pressure value and a target blood pressure value of the user to be monitored can be checked through the target health histogram.
In this embodiment, the level display module extracts parameter information of the target health histogram, generates blood pressure level information according to the parameter information, and displays the blood pressure level information, where the parameter information refers to a highest blood pressure value and a lowest blood pressure value in the target health histogram, and calculates an average blood pressure value and a blood pressure level of a user to be monitored in a preset time according to the target health histogram, including a current blood pressure level and a yesterday blood pressure level.
In this embodiment, the information display module extracts historical parameter information, amplitude information, viscera normal information and blood pressure grade information in the display result, and determines the current health state of the user to be monitored according to the historical parameter information, the amplitude information, the viscera normal information and the blood pressure grade information to realize the management of the health of the user to be monitored, wherein the current health state of the user to be monitored is comprehensively measured by the historical parameter information, the amplitude information, the viscera normal information and the blood pressure grade information, if the parameter information is all normal, the current health state of the user to be monitored is a health state, and if the parameter information exceeds two items, the current health state of the user to be monitored is a sub-health state or a non-health state.
In the embodiment, the physiological information and the body state information are transmitted to the information analysis module through the information acquisition module by a preset transmission strategy; the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to preset health indexes and body state information to obtain corresponding health information, and sends the health information to the information display module; the information display module displays the health information according to a preset display strategy; the method comprises the steps of analyzing characteristic information in the physiological information through preset health indexes and body state information, displaying the health information in an analysis result according to a preset display strategy to achieve management of health of a user to be monitored, and compared with the prior art that the health information of the user is measured through single data, the method can effectively improve accuracy of obtaining the health information of the user.
Other embodiments of the system for noninvasive multidimensional dynamic health management or systems with implementation of the present invention can refer to the above-described embodiments of the apparatus, and are not redundant herein.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A non-invasive, multi-dimensional, dynamic health management system, comprising: the system comprises an information acquisition module, an information analysis module and an information display module;
the information acquisition module is used for acquiring physiological information and body state information of a user to be monitored and transmitting the physiological information and the body state information to the information analysis module through a preset transmission strategy;
the information analysis module is used for extracting the characteristic information of the physiological information, analyzing the characteristic information according to a preset health index and the body state information to obtain corresponding health information, and sending the health information to the information display module;
and the information display module is used for displaying the health information according to a preset display strategy so as to realize the management of the health of the user to be monitored.
2. The non-invasive multi-dimensional dynamic health management system of claim 1, wherein said information analysis module comprises a feature information combination module and a health analysis module;
the characteristic information combination module is used for extracting the characteristic information of the physiological information and combining the characteristic information according to a preset health index to obtain a corresponding characteristic information set;
the health analysis module is used for generating a health analysis model according to the characteristic information and a preset neural network model, analyzing the characteristic information set according to the health analysis model to obtain corresponding health information, and sending the health information to the information display module.
3. The non-invasive multidimensional dynamic health management system of claim 1, wherein the information presentation module comprises an information judgment module and a strategy selection module;
the information judgment module is used for extracting parameter information of the health information, acquiring a target normal label if the parameter corresponding to the parameter information is smaller than or equal to a target parameter, marking the health information according to the target normal label, and sending the marked health information to the strategy selection module;
the strategy selection module is used for acquiring the current motion state of a user to be monitored, selecting a target display strategy according to the current motion state and the marked health information, and displaying the marked health information and the state information corresponding to the current motion state according to the target display strategy.
4. The non-invasive multi-dimensional dynamic health management system of claim 1, wherein the policy selection module comprises a curve generation module and a parameter presentation module;
the curve generation module is used for selecting target health information from the marked health information, acquiring demand information of a user to be monitored, generating a target health change curve according to the demand information and the target health information, and sending the target health change curve to the parameter display module;
the parameter display module is used for acquiring historical parameter information of target health information, extracting amplitude information of the target health change curve, and displaying the historical parameter information and the amplitude information.
5. The non-invasive multi-dimensional dynamic health management system of claim 1, wherein the policy selection module comprises a block diagram generation module and a health presentation module;
the blocky graph generation module is used for selecting viscera health information from the marked health information, acquiring the demand information of a user to be monitored, generating a target health blocky graph according to the demand information and the viscera health information, and sending the target health blocky graph to the health display module;
and the health display module is used for scanning the target health block diagram, generating viscera normal information in a preset time period if a preset abnormal block diagram does not appear in the scanning result, and displaying the viscera normal information.
6. The non-invasive multi-dimensional dynamic health management system of claim 1, wherein said policy selection module is for a histogram generation module and a level presentation module;
the histogram generation module is used for selecting blood pressure health information from the marked health information, acquiring demand information of a user to be monitored, generating a target health histogram according to the demand information and the blood pressure health information, and sending the target health histogram to the grade display module;
the grade display module is used for extracting parameter information of the target health histogram, generating blood pressure grade information according to the parameter information and displaying the blood pressure grade information.
7. The system according to any of the claims 1 to 6, wherein the information display module is further configured to extract historical parameter information, amplitude information, visceral health information, and blood pressure level information in the display result, and determine the current health status of the user to be monitored according to the historical parameter information, amplitude information, visceral health information, and blood pressure level information, so as to manage the health of the user to be monitored.
8. The non-invasive multidimensional dynamic health management system of claim 6, further comprising a blood pressure strategy reduction module and an early warning module;
the blood pressure strategy reduction module is used for acquiring a historical blood pressure reduction strategy of a user to be monitored if the grade corresponding to the blood pressure grade information is larger than a preset blood pressure grade, sorting the reduction rate of the historical blood pressure reduction strategy, and selecting a target blood pressure reduction strategy from the sorted historical blood pressure reduction strategies;
the early warning module is used for reducing the blood pressure value of the user to be monitored according to the target blood pressure reduction strategy, and if the reduced blood pressure value is larger than a preset blood pressure value, preset warning information is sent to a corresponding contact mode according to identity information so as to remind the user to be monitored to process in time.
9. The non-invasive multidimensional dynamic health management system of any one of claims 1 to 6, further comprising: the monitoring module and the notification module;
the monitoring module is used for acquiring a health value of a user to be monitored, monitoring the health value in real time, and if the health value is not reduced within a preset time, inquiring a corresponding emergency contact way in a preset data management platform according to identity information of the user to be monitored, and sending the emergency contact way to the notification module;
and the notification module is used for sending preset warning information to the emergency contact mode so as to remind the user to be monitored to process in time.
10. A non-invasive multi-dimensional dynamic health management apparatus, applied to the non-invasive multi-dimensional dynamic health management system according to any one of claims 1 to 9, the apparatus comprising: the system comprises an information acquisition module, an information analysis module and an information display module;
the information acquisition module acquires physiological information and body state information of a user to be monitored, and transmits the physiological information and the body state information to the information analysis module through a preset transmission strategy;
the information analysis module extracts the characteristic information of the physiological information, analyzes the characteristic information according to a preset health index and the body state information to obtain corresponding health information, and sends the health information to the information display module;
the information display module displays the health information according to a preset display strategy so as to realize the management of the health of the user to be monitored.
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