CN114209295A - Information display method, information display device, computer equipment and medium - Google Patents
Information display method, information display device, computer equipment and medium Download PDFInfo
- Publication number
- CN114209295A CN114209295A CN202111524718.7A CN202111524718A CN114209295A CN 114209295 A CN114209295 A CN 114209295A CN 202111524718 A CN202111524718 A CN 202111524718A CN 114209295 A CN114209295 A CN 114209295A
- Authority
- CN
- China
- Prior art keywords
- information
- user
- blood pressure
- environment
- calibration data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 230000036772 blood pressure Effects 0.000 claims abstract description 200
- 230000007613 environmental effect Effects 0.000 claims abstract description 12
- 239000011159 matrix material Substances 0.000 claims description 86
- 230000033001 locomotion Effects 0.000 claims description 28
- 230000007958 sleep Effects 0.000 claims description 25
- 238000004458 analytical method Methods 0.000 claims description 21
- 230000001815 facial effect Effects 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 19
- 230000004622 sleep time Effects 0.000 claims description 17
- 235000005911 diet Nutrition 0.000 claims description 12
- 230000037213 diet Effects 0.000 claims description 12
- 206010062519 Poor quality sleep Diseases 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 230000036385 rapid eye movement (rem) sleep Effects 0.000 claims description 9
- 230000002618 waking effect Effects 0.000 claims description 9
- 235000000891 standard diet Nutrition 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 abstract description 7
- 230000000875 corresponding effect Effects 0.000 description 32
- 238000005516 engineering process Methods 0.000 description 10
- 230000002159 abnormal effect Effects 0.000 description 7
- 230000003203 everyday effect Effects 0.000 description 7
- 230000008451 emotion Effects 0.000 description 5
- 206010020772 Hypertension Diseases 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000036651 mood Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 230000003860 sleep quality Effects 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 230000002596 correlated effect Effects 0.000 description 2
- 230000002354 daily effect Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000002996 emotional effect Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004617 sleep duration Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 208000001953 Hypotension Diseases 0.000 description 1
- 208000006011 Stroke Diseases 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000007211 cardiovascular event Effects 0.000 description 1
- 230000002490 cerebral effect Effects 0.000 description 1
- 208000026106 cerebrovascular disease Diseases 0.000 description 1
- 230000007213 cerebrovascular event Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000008909 emotion recognition Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000001631 hypertensive effect Effects 0.000 description 1
- 208000021822 hypotensive Diseases 0.000 description 1
- 230000001077 hypotensive effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000010125 myocardial infarction Diseases 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7221—Determining signal validity, reliability or quality
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
Abstract
The application is applicable to the technical field of artificial intelligence, and provides an information display method, an information display device, computer equipment and a medium, wherein the method comprises the following steps: acquiring user state of a user and environment information of a current environment, and acquiring blood pressure acquisition information of the user; determining first calibration data, second calibration data and blood pressure reference information according to the user state and the environmental information; respectively carrying out information calibration on the blood pressure acquisition information according to the first calibration data and the second calibration data, and carrying out information comparison on the blood pressure acquisition information after the information calibration and the blood pressure reference information; and generating first reminding information according to the information comparison result, and displaying information according to the first reminding information. According to the method and the device, calibration data are respectively determined according to the user state and the environment information, the first calibration data and the second calibration data are obtained, and based on the first calibration data and the second calibration data, information calibration can be effectively carried out on the blood pressure acquisition information of the user in different environments.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to an information display method and apparatus, a computer device, and a medium.
Background
Hypertension is the most common cardiovascular and cerebrovascular disease, and the increase of blood pressure is closely related to cardiovascular and cerebrovascular events such as myocardial infarction, cerebral apoplexy and the like, and is an important hidden danger influencing human health. Therefore, the problem of displaying blood pressure information is more and more emphasized.
In the existing blood pressure information display process, when a user is in different environments, the displayed blood pressure information has larger error, and the use experience of the user is reduced.
Disclosure of Invention
In view of this, embodiments of the present application provide an information display method, an apparatus, a computer device, and a medium, so as to solve the problem of large error in displaying existing blood pressure information.
A first aspect of an embodiment of the present application provides an information display method, including:
acquiring a user state of a user and environment information of a current environment, and acquiring blood pressure acquisition information of the user, wherein the user state comprises sign information and a facial image;
respectively determining calibration data according to the user state and the environment information to obtain first calibration data and second calibration data, and determining blood pressure reference information of the user according to the user state and the environment information;
respectively determining first calibration data and second calibration data according to the user state and the environment information, wherein the first calibration data and the second calibration data are respectively used for calibrating blood pressure acquisition information acquired under different user states and different environment information, and determining blood pressure reference information of the user according to the user state and the environment information;
and generating first reminding information according to the information comparison result, and displaying information according to the first reminding information.
Further, the determining the blood pressure reference information of the user according to the user state and the environment information includes:
determining the environment type of the current environment according to the environment information, and combining the user state and the environment type to obtain combined information;
and performing matrix conversion on the combined information to obtain an information matrix, and matching the information matrix with a pre-stored reference information lookup table to obtain the blood pressure reference information.
Further, after performing matrix conversion on the combined information to obtain an information matrix, the method further includes:
respectively calculating matrix distances between the information matrix and pre-stored preset matrixes;
when a target matrix distance smaller than a distance threshold exists in the calculated multiple matrix distances, acquiring a matrix identifier of the target matrix distance;
and determining second reminding information according to the matrix identifier, and displaying information of the user according to the second reminding information.
Further, the generating of the first reminding information according to the information comparison result includes:
determining the blood pressure type of the user according to the information comparison result, and generating third reminding information according to the blood pressure type;
determining a standard motion range according to the blood pressure type, and collecting motion information of the user;
performing motion analysis on the motion information and the standard motion range to obtain fourth reminding information;
determining standard diet information according to the blood pressure type, and collecting the diet habit information of the user;
performing diet analysis on the diet habit information and the standard diet information to obtain fifth reminding information;
the first reminding information comprises the third reminding information, the fourth reminding information and the fifth reminding information.
Further, the acquiring the user state of the user and the environment information of the current environment includes:
acquiring images of the user to obtain a facial image, and acquiring physical signs of the user to obtain physical sign information;
determining the user state according to the facial image and the physical sign information;
and carrying out image acquisition, light intensity acquisition, temperature acquisition, humidity acquisition and altitude acquisition on the current environment to obtain the environment information.
Further, after the information calibration is performed on the blood pressure acquisition information, the method further includes:
determining identity information of the user according to the facial image, and acquiring physical examination data of the user according to the identity information;
and determining third calibration data according to the physical examination data, and performing information calibration on the blood pressure acquisition information according to the third calibration data.
Further, the method further comprises:
acquiring the light sleep time, the deep sleep time, the rapid eye movement sleep time and the sleep waking times of the user within a preset time period;
and carrying out sleep analysis according to the light sleep time length, the deep sleep time length, the rapid eye movement sleep time length and the sleep waking times to obtain a sleep analysis result, and carrying out information display on the user according to the sleep analysis result.
A second aspect of an embodiment of the present application provides an information display apparatus, including:
the system comprises an environment information acquisition module, a data acquisition module and a data processing module, wherein the environment information acquisition module is used for acquiring a user state of a user and environment information of a current environment, and acquiring blood pressure acquisition information of the user, and the user state comprises sign information and a facial image;
a calibration data determining module, configured to determine first calibration data and second calibration data according to the user state and the environment information, where the first calibration data and the second calibration data are used to calibrate blood pressure acquisition information acquired under different user states and different environment information, respectively, and determine blood pressure reference information of the user according to the user state and the environment information;
the information calibration module is used for respectively carrying out information calibration on the blood pressure acquisition information according to the first calibration data and the second calibration data, and carrying out information comparison on the blood pressure acquisition information after the information calibration and the blood pressure reference information;
and the information display module is used for generating first reminding information according to the information comparison result and displaying information according to the first reminding information.
A third aspect of embodiments of the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the computer device, and when the processor executes the computer program, the processor implements the steps of the information display method provided in the first aspect.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the information display method provided by the first aspect.
According to the information display method, the device, the computer equipment and the medium, calibration data are respectively determined according to the state of a user and environment information, first calibration data and second calibration data are obtained, based on the first calibration data and the second calibration data, information calibration can be effectively carried out on blood pressure acquisition information of the user in different environments, the accuracy of the blood pressure acquisition information is improved, the accuracy of information comparison between the blood pressure acquisition information and blood pressure reference information is improved, first reminding information is obtained by carrying out information comparison on the blood pressure acquisition information and the blood pressure reference information, and the first reminding information is displayed and presented to the user, so that the user can effectively check comparison results among the blood pressure acquisition information, the blood pressure acquisition information and the blood pressure reference information after calibration.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart illustrating an implementation of an information displaying method according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating an implementation of a method for displaying information according to another embodiment of the present disclosure;
fig. 3 is a block diagram of an information display device according to an embodiment of the present application;
fig. 4 is a block diagram of a computer device according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
In the embodiment of the application, the information display method is realized based on the artificial intelligence technology and is used for accurately displaying the blood pressure information of the user.
Referring to fig. 1, fig. 1 shows a flowchart of an implementation of an information display method provided in an embodiment of the present application, where the information display method is applied to any computer device, where the computer device may be a server, a mobile phone, a tablet, or a wearable smart device, and the information display method includes:
step S10, acquiring the user state of the user and the environmental information of the current environment, and acquiring the blood pressure acquisition information of the user;
the user state comprises sign information and a face image, the characteristic information is used for representing the current body state of the user, the body state comprises a static state, a motion state and the like, and the mood of the user can be identified according to the face image of the user, and the mood comprises excitement, calmness, anger and the like.
Optionally, in this step, the terminal device may be an intelligent bracelet, and when an information display instruction sent by a user is received, blood pressure acquisition is performed on the user to obtain blood pressure acquisition information, and the information display instruction may be sent in a trigger manner, that is, the information display instruction is continuously sent to the intelligent bracelet according to a preset time interval to indicate the intelligent bracelet to continuously determine the user state of the user, the environmental information of the current environment, and the blood pressure acquisition information, where the preset time interval may be set according to a requirement, for example, the preset time interval may be set to 10 seconds, 1 minute, 1 hour, or the like;
optionally, in this step, the acquiring the user state of the user and the environment information of the current environment includes:
acquiring images of the user to obtain a facial image, and acquiring physical signs of the user to obtain physical sign information;
the system comprises a smart bracelet, a sign sensor, a face image acquisition device and a sign information acquisition device, wherein the face image acquisition device is arranged on the smart bracelet and is used for acquiring the face image;
determining the user state according to the facial image and the physical sign information;
performing emotion recognition on the facial image to obtain user emotion, matching the user emotion and sign information with a pre-stored state query table to obtain the user state, wherein the state query table stores corresponding relations between different user emotion and sign information and corresponding user states;
and carrying out image acquisition, light intensity acquisition, temperature acquisition, humidity acquisition and altitude acquisition on the current environment to obtain the environment information.
Step S20, determining first calibration data and second calibration data according to the user status and the environment information, respectively, and determining blood pressure reference information of the user according to the user status and the environment information;
the first calibration data and the second calibration data are respectively used for calibrating blood pressure acquisition information acquired under different user states and different environmental information, the first calibration data, the second calibration data and blood pressure reference information are obtained by matching the user states and the environmental information with a pre-stored data query table, corresponding relations among the different user states, the environmental information and the corresponding calibration data are stored in the data query table, and corresponding relations among the user states, the environmental information and the corresponding blood pressure reference information are also stored in the data query table;
in the step, because errors exist when the user is in different user states or in different environments to acquire the blood pressure, in the step, a first calibration strategy and a second calibration strategy are obtained by respectively determining blood pressure calibration strategies based on the user states and the environment information, and the blood pressure information can be effectively calibrated based on the first calibration strategy and the second calibration strategy;
step S30, respectively performing information calibration on the blood pressure acquisition information according to the first calibration data and the second calibration data, and performing information comparison between the blood pressure acquisition information after information calibration and the blood pressure reference information;
when the user is in different emotions and/or environments, the acquired blood pressure acquisition information is in error, for example, when the user is in emotional excitement, the acquired blood pressure information is higher, when the user is in a night environment, the acquired blood pressure information is higher, and when the user is in a low-temperature environment, the acquired blood pressure information is lower, so in the step, the blood pressure acquisition information is respectively subjected to information calibration according to the first calibration data and the second calibration data, the accuracy of the blood pressure acquisition information is effectively improved, and in the step, whether the current blood pressure of the user is abnormal or not can be effectively judged by performing information comparison on the blood pressure acquisition information after the information calibration and blood pressure reference information;
optionally, in this step, after the information calibration is performed on the blood pressure acquisition information, the method further includes:
determining identity information of the user according to the facial image, and acquiring physical examination data of the user according to the identity information;
the identity information is obtained by performing face recognition based on a face image, and the identity information comprises an identity card number, a mobile phone number and a name, and experience data of a user in a preset time interval is obtained based on the identity information of the user, for example, physical examination data of the user in 1 year with the current time as an end time or physical examination data of the user in 2 years with the current time as an end time is obtained;
determining third calibration data according to the physical examination data, and performing information calibration on the blood pressure acquisition information according to the third calibration data;
the blood pressure acquisition information is subjected to information calibration through third calibration data to prevent the phenomenon of abnormal blood pressure acquisition information caused by the current disease of the user, for example, the range of the normal blood pressure of the human body is a1, and the blood pressure value in the blood pressure acquisition information of the current user is b1, because the user has some diseases causing the high blood pressure, the range of the normal blood pressure corresponding to the user is a2, and the blood pressure value in the blood pressure acquisition information of the current user is b1, at this time, the blood pressure acquisition information subjected to the information calibration through the third calibration data needs to be compared with the blood pressure range a1 to prevent the phenomenon of abnormal blood pressure acquisition information.
In the step, the blood pressure reference information stores the corresponding relation between different blood pressure levels and corresponding blood pressure ranges, and the blood pressure level corresponding to the user can be effectively determined by comparing the blood pressure acquisition information after information calibration with the blood pressure reference information, wherein the blood pressure level is used for representing the current blood pressure state of the user.
Step S40, generating first reminding information according to the information comparison result, and displaying information according to the first reminding information;
the first reminding information comprises blood pressure acquisition information before information calibration, blood pressure acquisition information after information calibration and a blood pressure grade of a user, and the blood pressure acquisition information before information calibration, the blood pressure acquisition information after information calibration and the blood pressure grade of the user are used for displaying information of the user, so that the user can conveniently check the current blood pressure state.
Optionally, in this step, the generating of the first reminding information according to the information comparison result includes:
determining the blood pressure type of the user according to the information comparison result, and generating third reminding information according to the blood pressure type; the blood pressure type of the user is obtained by matching the blood pressure grade corresponding to the user with a pre-stored blood pressure type lookup table, and the blood pressure type is used for representing whether the blood pressure of the user is abnormal or not;
determining a standard motion range according to the blood pressure type, and collecting motion information of the user, wherein the motion information comprises information such as step number, motion time, motion frequency and the like;
performing motion analysis on the motion information and the standard motion range to obtain fourth reminding information;
determining standard diet information according to the blood pressure type, and collecting the diet habit information of the user;
performing diet analysis on the diet habit information and the standard diet information to obtain fifth reminding information;
the first reminding information further comprises third reminding information, fourth reminding information and fifth reminding information.
Further, in this embodiment, based on third party's wearing equipment, for example the motion bracelet, gather user's blood pressure every day, sleep, motion data, carry out classification processing analysis to user's data every day. And generating a health monitoring report every day according to the acquired data, and pushing the health monitoring report to a mobile phone end of the user through a chronic disease public platform. Analyzing the user data based on the data:
blood pressure data: and analyzing according to the acquired blood pressure data of the user on the day, establishing a normal blood pressure interval, and highlighting the exceeding blood pressure time period. The user can directly see that the blood pressure of the user is higher in a certain time period in the day, because the blood pressure collected by the third-party equipment is far away from the heart position, the measured blood pressure is inaccurate, and some experiments and algorithm models are needed to adjust and optimize the measured blood pressure data.
(1) And m personal persons simultaneously acquire a blood pressure value q through the wearable device and simultaneously acquire data p acquired by the sphygmomanometer. The average error value g ═ m (pm-qm)/m is calculated. g is the mean error value of blood pressure.
(2) The predicted blood pressure value is the device blood pressure value + the mean error value.
(3) The normal blood pressure interval min to max. The predicted blood pressure value is a normal blood pressure value in the interval, and abnormal blood pressure is reminded outside the interval. And (3) predicting the blood pressure difference as the predicted blood pressure value-max, and warning the grade according to the value of the blood pressure difference, wherein the larger the difference is, the more a hypotensive medicine needs to be taken in time or the doctor needs to be taken in time.
Sleep data: the method comprises the steps of collecting the heart rate of a user in a night sleep time period, analyzing sleep quality data, and combining blood pressure data of the night to deduce whether the user is the sleep hypertension or not. The heart rate h and the blood pressure value p of the user are collected every ten minutes, the heart rate value difference is an absolute value g of the difference between the value collected at the moment and the value collected last time, g is within 10, heart rate stability is shown, and heart rate fluctuation is abnormal if the value exceeds 10. And judging whether the heart rate is positively correlated or not according to the relationship between the heart rate and the blood pressure value, and if the heart rate is positively correlated, advising the user not to do strenuous exercise, sleep on the side and the like before sleeping.
Motion data: calculating the energy consumption of the user according to the collected daily exercise steps of the user, and recommending the hypertensive to do aerobic exercise for at least half an hour every day to obtain the steps and the energy consumption of the daily normal activity of the ordinary person. And if the deviation with the target energy value is larger, reminding the user to perform related aerobic exercises and establishing exercise card punching. And acquiring steps every day to estimate consumed energy, wherein if the difference value of consumed values in one week is not large, the exercise is performed every day, and if the difference value of acquired data line graph fluctuation is large, the exercise is not performed every day. Reminding the user to exercise at the valley point area of the difference.
In the embodiment, calibration data are respectively determined according to the user state and the environment information to obtain first calibration data and second calibration data, based on the first calibration data and the second calibration data, information calibration can be effectively performed on blood pressure acquisition information of users in different environments, the accuracy of the blood pressure acquisition information is improved, the accuracy of information comparison between the blood pressure acquisition information and blood pressure reference information is improved, first reminding information is obtained by performing information comparison on the blood pressure acquisition information and the blood pressure reference information, and the first reminding information is displayed and presented to the user, so that the user can effectively check the calibrated blood pressure acquisition information and the comparison result between the blood pressure acquisition information and the blood pressure reference information.
Referring to fig. 2, fig. 2 is a flowchart illustrating an implementation of an information displaying method according to another embodiment of the present application. With respect to the embodiment of fig. 1, the information display method provided by this embodiment is used to further refine step S20 in the embodiment of fig. 1, and includes:
step S21, determining the environment type of the current environment according to the environment information, and combining the user state and the environment type to obtain combined information;
the environment information is matched with a pre-stored environment query table to obtain the environment type, the environment query table stores the corresponding relation between different environment information and corresponding environment types, and in the step, the user state and the environment type are combined to facilitate subsequent matrix conversion operation on the combined information;
step S22, performing matrix conversion on the combined information to obtain an information matrix, and matching the information matrix with a pre-stored reference information lookup table to obtain the blood pressure reference information;
the information matrix is obtained by operating the combined information and the transfer matrix, the similarity calculation is carried out on the information matrix and an appointed matrix prestored in a data query table, and the information corresponding to the appointed matrix with the maximum similarity in the data query table is obtained to obtain the blood pressure reference information;
optionally, in this step, after performing matrix conversion on the combined information to obtain an information matrix, the method further includes:
respectively calculating matrix distances between the information matrix and pre-stored preset matrixes;
the method comprises the following steps that the number and the matrix information in a preset matrix can be set according to requirements, and in the step, the distances between an information matrix and different preset matrices are calculated respectively based on an Euclidean distance formula to obtain the matrix distance;
when a target matrix distance smaller than a distance threshold exists in the calculated multiple matrix distances, acquiring a matrix identifier of the target matrix distance; (ii) a
The distance threshold value can be set according to requirements, when a target matrix distance smaller than the distance threshold value exists in the calculated multiple matrix distances, the information matrix and the corresponding preset matrix are judged to be similar matrixes, and matrix identifiers of the similar matrixes are obtained;
determining second reminding information according to the matrix identification, and displaying information of the user according to the second reminding information;
the second reminding information is obtained by matching the matrix identifier with a pre-stored information look-up table, and the information look-up table stores corresponding relations between different matrix identifiers and corresponding second reminding information.
Further, in this embodiment, the method further includes:
acquiring the light sleep time, the deep sleep time, the rapid eye movement sleep time and the sleep waking times of the user within a preset time period;
performing sleep analysis according to the light sleep duration, the deep sleep duration, the rapid eye movement sleep duration and the sleep waking times to obtain a sleep analysis result, and displaying information of the user according to the sleep analysis result;
the sleep quality of the user is lower when the rapid eye movement sleep time length, the light sleep time length and the sleep waking times are larger, and the sleep quality is higher when the deep sleep time length is larger.
In this embodiment, the information combination is performed on the user state and the environment type, so that subsequent matrix conversion operation on the combined information is facilitated, the information matrix is obtained by performing operation on the combined information and the transfer matrix, the similarity calculation is performed on the information matrix and the specified matrix prestored in the data query table, information corresponding to the specified matrix with the maximum similarity in the data query table is obtained, and the blood pressure reference information is obtained.
Referring to fig. 3, fig. 3 is a block diagram of an information display device 100 according to an embodiment of the present disclosure. In this embodiment, the information display apparatus 100 includes units for executing the steps in the embodiment corresponding to fig. 1 and 2. Please refer to fig. 1 and fig. 2 and the related descriptions in the embodiments corresponding to fig. 1 and fig. 2. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 3, the information display device 100 includes: the system comprises an environment information acquisition module 10, a calibration data determination module 11, an information calibration module 12 and an information display module 13, wherein:
the environment information acquiring module 10 is configured to acquire a user state of a user and environment information of a current environment, and acquire blood pressure acquisition information of the user, where the user state includes sign information and a facial image, the user state includes the sign information and the facial image, the feature information is used to represent a current body state of the user, the body state includes a static state, a motion state, and the like, and according to the facial image of the user, the user may be used to identify a mood of the user, and the mood includes excitement, calmness, anger, and the like.
Optionally, in this step, the terminal device may be an intelligent bracelet, and when an information display instruction sent by a user is received, blood pressure acquisition is performed on the user to obtain blood pressure acquisition information, and the information display instruction may be sent in a trigger manner, that is, the information display instruction is continuously sent to the intelligent bracelet according to a preset time interval, so as to indicate the intelligent bracelet to continuously determine the user state of the user, the environmental information of the current environment and the blood pressure acquisition information, and the preset time interval may be set according to a requirement, for example, the preset time interval may be set to 10 seconds, 1 minute, 1 hour, or the like.
Further, the environment information obtaining module 10 is further configured to: acquiring images of the user to obtain a facial image, and acquiring physical signs of the user to obtain physical sign information;
determining the user state according to the facial image and the physical sign information;
and carrying out image acquisition, light intensity acquisition, temperature acquisition, humidity acquisition and altitude acquisition on the current environment to obtain the environment information.
A calibration data determining module 11, configured to determine first calibration data and second calibration data according to the user status and the environment information, the first calibration data and the second calibration data are respectively used for calibrating blood pressure acquisition information acquired under different user states and different environmental information, and determining the blood pressure reference information of the user according to the user state and the environment information, wherein the first calibration data, the second calibration data and the blood pressure reference information are obtained by matching the user status and the environmental information with a pre-stored data lookup table, the data lookup table stores corresponding relations among different user states, environment information and corresponding calibration data, the data lookup table also stores the corresponding relationship between the user state and the environmental information and the corresponding blood pressure reference information;
in this step, because there is an error when the user is in different user states or in different environments to perform blood pressure acquisition, in this step, the first calibration strategy and the second calibration strategy are obtained by respectively determining the blood pressure calibration strategy based on the user states and the environment information, and the blood pressure information can be effectively calibrated for the blood pressure acquisition information based on the first calibration strategy and the second calibration strategy.
Further, the calibration data determination module 11 is further configured to: determining the environment type of the current environment according to the environment information, and combining the user state and the environment type to obtain combined information; the environment information is matched with a pre-stored environment query table to obtain the environment type, the environment query table stores the corresponding relation between different environment information and corresponding environment types, and in the step, the user state and the environment type are combined to facilitate subsequent matrix conversion operation on the combined information;
and performing matrix conversion on the combined information to obtain an information matrix, matching the information matrix with a pre-stored reference information query table to obtain the blood pressure reference information, wherein the combined information and the transfer matrix are operated to obtain the information matrix, the information matrix and a pre-stored specified matrix in the data query table are subjected to similarity calculation, information corresponding to the specified matrix with the maximum similarity in the data query table is obtained, and the blood pressure reference information is obtained.
An information calibration module 12, configured to perform information calibration on the blood pressure acquisition information according to the first calibration data and the second calibration data, and perform information comparison on the blood pressure acquisition information after the information calibration and the blood pressure reference information, where the acquired blood pressure acquisition information is in error when the user is in different emotions and/or environments, for example, when the user is in emotional excitement, the acquired blood pressure information is higher when the user is in a night environment, and the acquired blood pressure information is lower when the user is in a low-temperature environment, so in this step, according to the first calibration data and the second calibration data, the information calibration is performed on the blood pressure acquisition information respectively, so that the accuracy of the blood pressure acquisition information is effectively improved, by comparing the blood pressure acquisition information after information calibration with the blood pressure reference information, whether the current blood pressure of the user is abnormal can be effectively judged.
Further, the information calibration module 12 is further configured to: determining identity information of the user according to the facial image, and acquiring physical examination data of the user according to the identity information;
and determining third calibration data according to the physical examination data, and performing information calibration on the blood pressure acquisition information according to the third calibration data.
The information display module 13 is configured to generate first reminding information according to an information comparison result, and display information according to the first reminding information, where the first reminding information includes blood pressure acquisition information before information calibration, blood pressure acquisition information after information calibration, and a blood pressure level of a user, and displays information on the user by displaying the blood pressure acquisition information before information calibration, the blood pressure acquisition information after information calibration, and the blood pressure level of the user, so that the user can conveniently check the current own blood pressure state.
Further, the information display module 13 is further configured to: respectively calculating matrix distances between the information matrix and pre-stored preset matrixes; the method comprises the following steps that the number and the matrix information in a preset matrix can be set according to requirements, and in the step, the distances between an information matrix and different preset matrices are calculated respectively based on an Euclidean distance formula to obtain the matrix distance;
when a target matrix distance smaller than a distance threshold exists in the calculated multiple matrix distances, acquiring a matrix identifier of the target matrix distance; the distance threshold value can be set according to requirements, when a target matrix distance smaller than the distance threshold value exists in the calculated multiple matrix distances, the information matrix and the corresponding preset matrix are judged to be similar matrixes, and matrix identifications of the similar matrixes are obtained;
and determining second reminding information according to the matrix identifier, and displaying information of the user according to the second reminding information, wherein the second reminding information is obtained by matching the matrix identifier with a pre-stored information query table, and the information query table stores corresponding relations between different matrix identifiers and corresponding second reminding information.
Optionally, the information display module 13 is further configured to: determining the blood pressure type of the user according to the information comparison result, and generating third reminding information according to the blood pressure type;
determining a standard motion range according to the blood pressure type, and collecting motion information of the user;
performing motion analysis on the motion information and the standard motion range to obtain fourth reminding information;
determining standard diet information according to the blood pressure type, and collecting the diet habit information of the user;
performing diet analysis on the diet habit information and the standard diet information to obtain fifth reminding information;
the first reminding information comprises the third reminding information, the fourth reminding information and the fifth reminding information.
Further, the information display module 13 is further configured to: acquiring the light sleep time, the deep sleep time, the rapid eye movement sleep time and the sleep waking times of the user within a preset time period;
and carrying out sleep analysis according to the light sleep time length, the deep sleep time length, the rapid eye movement sleep time length and the sleep waking times to obtain a sleep analysis result, and carrying out information display on the user according to the sleep analysis result.
In the embodiment, calibration data are respectively determined according to the user state and the environment information to obtain first calibration data and second calibration data, based on the first calibration data and the second calibration data, information calibration can be effectively performed on blood pressure acquisition information of users in different environments, the accuracy of the blood pressure acquisition information is improved, the accuracy of information comparison between the blood pressure acquisition information and blood pressure reference information is improved, first reminding information is obtained by performing information comparison on the blood pressure acquisition information and the blood pressure reference information, and the first reminding information is displayed and presented to the user, so that the user can effectively check the calibrated blood pressure acquisition information and the comparison result between the blood pressure acquisition information and the blood pressure reference information.
Fig. 4 is a block diagram of a computer device 2 according to another embodiment of the present application. As shown in fig. 4, the computer device 2 of this embodiment includes: a processor 20, a memory 21 and a computer program 22, such as a program of an information display method, stored in said memory 21 and executable on said processor 20. The processor 20, when executing the computer program 22, implements the steps of the above-described embodiments of the information display methods, such as S10-S40 shown in fig. 1, or S21-S22 shown in fig. 2. Alternatively, when the processor 20 executes the computer program 22, the functions of the units in the embodiment corresponding to fig. 3, for example, the functions of the units 10 to 13 shown in fig. 3, are implemented, for which reference is specifically made to the relevant description in the embodiment corresponding to fig. 3, which is not repeated herein.
Illustratively, the computer program 22 may be divided into one or more units, which are stored in the memory 21 and executed by the processor 20 to accomplish the present application. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 22 in the computer device 2. For example, the computer program 22 may be divided into an environment information acquisition module 10, a calibration data determination module 11, an information calibration module 12, and an information display module 13, and the specific functions of the respective units are as described above.
The computer device may include, but is not limited to, a processor 20, a memory 21. Those skilled in the art will appreciate that fig. 4 is merely an example of a computer device 2 and is not intended to limit the computer device 2 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The processor 20 may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 21 may be an internal storage unit of the computer device 2, such as a hard disk or a memory of the computer device 2. The memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the computer device 2. Further, the memory 21 may also include both an internal storage unit and an external storage device of the computer device 2. The memory 21 is used for storing the computer program and other programs and data required by the computer device. The memory 21 may also be used to temporarily store data that has been output or is to be output.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated module, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. The computer readable storage medium may be non-volatile or volatile. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable storage medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable storage media that does not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. An information display method, comprising:
acquiring a user state of a user and environment information of a current environment, and acquiring blood pressure acquisition information of the user, wherein the user state comprises sign information and a facial image;
respectively determining first calibration data and second calibration data according to the user state and the environment information, wherein the first calibration data and the second calibration data are respectively used for calibrating blood pressure acquisition information acquired under different user states and different environment information, and determining blood pressure reference information of the user according to the user state and the environment information;
according to the first calibration data and the second calibration data, respectively carrying out information calibration on the blood pressure acquisition information, and carrying out information comparison on the blood pressure acquisition information after information calibration and the blood pressure reference information;
and generating first reminding information according to the information comparison result, and prompting the user.
2. The information display method according to claim 1, wherein the determining blood pressure reference information of the user based on the user state and the environment information includes:
determining the environment type of the current environment according to the environment information, and combining the user state and the environment type to obtain combined information;
and performing matrix conversion on the combined information to obtain an information matrix, and matching the information matrix with a pre-stored reference information lookup table to obtain the blood pressure reference information.
3. The information display method according to claim 2, wherein after the matrix converting the combined information to obtain the information matrix, the method further comprises:
respectively calculating matrix distances between the information matrix and pre-stored preset matrixes;
when a target matrix distance smaller than a distance threshold exists in the calculated multiple matrix distances, acquiring a matrix identifier of the target matrix distance; and determining second reminding information according to the matrix identifier, and displaying information of the user according to the second reminding information.
4. The information display method according to claim 1, wherein the generating of the first reminding information according to the information comparison result includes:
determining the blood pressure type of the user according to the information comparison result, and generating third reminding information according to the blood pressure type;
determining a standard motion range according to the blood pressure type, and collecting motion information of the user;
performing motion analysis on the motion information and the standard motion range to obtain fourth reminding information;
determining standard diet information according to the blood pressure type, and collecting the diet habit information of the user;
performing diet analysis on the diet habit information and the standard diet information to obtain fifth reminding information;
the first reminding information comprises the third reminding information, the fourth reminding information and the fifth reminding information.
5. The information display method according to claim 1, wherein the acquiring of the user status of the user and the environmental information of the current environment comprises:
acquiring images of the user to obtain a facial image, and acquiring physical signs of the user to obtain physical sign information;
determining the user state according to the facial image and the physical sign information;
and carrying out image acquisition, light intensity acquisition, temperature acquisition, humidity acquisition and altitude acquisition on the current environment to obtain the environment information.
6. The information display method according to claim 5, further comprising, after the information calibration of the blood pressure acquisition information, respectively:
determining identity information of the user according to the facial image, and acquiring physical examination data of the user according to the identity information;
and determining third calibration data according to the physical examination data, and performing information calibration on the blood pressure acquisition information according to the third calibration data.
7. The information display method according to any one of claims 1 to 6, characterized by further comprising:
acquiring the light sleep time, the deep sleep time, the rapid eye movement sleep time and the sleep waking times of the user within a preset time period;
and carrying out sleep analysis according to the light sleep time length, the deep sleep time length, the rapid eye movement sleep time length and the sleep waking times to obtain a sleep analysis result, and carrying out information display on the user according to the sleep analysis result.
8. An information display device characterized by comprising:
the system comprises an environment information acquisition module, a data acquisition module and a data processing module, wherein the environment information acquisition module is used for acquiring a user state of a user and environment information of a current environment, and acquiring blood pressure acquisition information of the user, and the user state comprises sign information and a facial image;
a calibration data determining module, configured to determine first calibration data and second calibration data according to the user state and the environment information, where the first calibration data and the second calibration data are used to calibrate blood pressure acquisition information acquired under different user states and different environment information, respectively, and determine blood pressure reference information of the user according to the user state and the environment information;
the information calibration module is used for respectively carrying out information calibration on the blood pressure acquisition information according to the first calibration data and the second calibration data, and carrying out information comparison on the blood pressure acquisition information after the information calibration and the blood pressure reference information;
and the information display module is used for generating first reminding information according to the information comparison result and displaying information according to the first reminding information.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111524718.7A CN114209295A (en) | 2021-12-14 | 2021-12-14 | Information display method, information display device, computer equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111524718.7A CN114209295A (en) | 2021-12-14 | 2021-12-14 | Information display method, information display device, computer equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114209295A true CN114209295A (en) | 2022-03-22 |
Family
ID=80701899
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111524718.7A Pending CN114209295A (en) | 2021-12-14 | 2021-12-14 | Information display method, information display device, computer equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114209295A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009093514A1 (en) * | 2008-01-23 | 2009-07-30 | Omron Healthcare Co., Ltd. | Blood pressure measurement device capable of providing measurement results minimally affected by environmental variation |
| CN108601537A (en) * | 2016-08-31 | 2018-09-28 | 华为技术有限公司 | Determine the method, apparatus and equipment of blood pressure calibration cycle |
| JP2018194206A (en) * | 2017-05-15 | 2018-12-06 | オムロン株式会社 | Information processor, information processing method and program |
| CN109893110A (en) * | 2019-03-06 | 2019-06-18 | 深圳市理邦精密仪器股份有限公司 | A kind of method and device for calibrating ambulatory blood pressure |
| CN113499046A (en) * | 2021-06-30 | 2021-10-15 | 湖北智奥物联网科技有限公司 | Dynamic blood pressure real-time monitoring device, system and storage medium |
| CN113647921A (en) * | 2021-07-29 | 2021-11-16 | 歌尔科技有限公司 | Blood pressure measuring method, system, device and storage medium |
-
2021
- 2021-12-14 CN CN202111524718.7A patent/CN114209295A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009093514A1 (en) * | 2008-01-23 | 2009-07-30 | Omron Healthcare Co., Ltd. | Blood pressure measurement device capable of providing measurement results minimally affected by environmental variation |
| CN108601537A (en) * | 2016-08-31 | 2018-09-28 | 华为技术有限公司 | Determine the method, apparatus and equipment of blood pressure calibration cycle |
| JP2018194206A (en) * | 2017-05-15 | 2018-12-06 | オムロン株式会社 | Information processor, information processing method and program |
| CN109893110A (en) * | 2019-03-06 | 2019-06-18 | 深圳市理邦精密仪器股份有限公司 | A kind of method and device for calibrating ambulatory blood pressure |
| CN113499046A (en) * | 2021-06-30 | 2021-10-15 | 湖北智奥物联网科技有限公司 | Dynamic blood pressure real-time monitoring device, system and storage medium |
| CN113647921A (en) * | 2021-07-29 | 2021-11-16 | 歌尔科技有限公司 | Blood pressure measuring method, system, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10130292B2 (en) | Method for analyzing stress based on multi-measured bio-signals | |
| RU2613580C2 (en) | Method and system for helping patient | |
| CN108888277B (en) | Psychological test method, psychological test system and terminal equipment | |
| CN109662687A (en) | The device and method for correcting biometric information sensor error, and the device and method of estimation biological information | |
| US20190117143A1 (en) | Methods and Apparatus for Assessing Depression | |
| CN110584601B (en) | Old man cognitive function monitoring and evaluation system | |
| CN109285606A (en) | A kind of health control method and system based on big data intelligent algorithm | |
| US10610109B2 (en) | Emotion representative image to derive health rating | |
| EP3238611B1 (en) | A method and device for estimating a condition of a person | |
| CN109961018B (en) | Electroencephalogram signal analysis method and system and terminal equipment | |
| CN113990482A (en) | Health data processing system and method | |
| CN113990500A (en) | Vital sign parameter monitoring method and device and storage medium | |
| CN114203300A (en) | Health state evaluation method and system, server and storage medium | |
| CN113499046A (en) | Dynamic blood pressure real-time monitoring device, system and storage medium | |
| CN112022172B (en) | Pressure detection method and device based on multi-modal physiological data | |
| CN112992355A (en) | Preoperative assessment method and system for esophageal cancer patient | |
| CN114209295A (en) | Information display method, information display device, computer equipment and medium | |
| US10925522B2 (en) | Method, system, and computer program product for dynamic analysis of a physiological parameter | |
| US11955245B2 (en) | Method and system for mental index prediction | |
| US20210327591A1 (en) | System for Efficiently Estimating and Improving Wellbeing | |
| CN117253096B (en) | Finger-adaptive health index monitoring method, device, equipment and storage medium | |
| US20240008813A1 (en) | Smart wearable device and method for estimating traditional medicine system parameters | |
| CN116687357B (en) | Sleep monitoring method, device, equipment and storage medium based on millimeter wave radar | |
| US20230000446A1 (en) | Apparatus and method for estimating lipid concentration | |
| WO2022208873A1 (en) | Stress estimation device, stress estimation method, and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |