CN111000542B - Method and device for realizing body abnormity early warning based on intelligent medicine chest - Google Patents

Method and device for realizing body abnormity early warning based on intelligent medicine chest Download PDF

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CN111000542B
CN111000542B CN201911395051.8A CN201911395051A CN111000542B CN 111000542 B CN111000542 B CN 111000542B CN 201911395051 A CN201911395051 A CN 201911395051A CN 111000542 B CN111000542 B CN 111000542B
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user
physiological parameter
medicine box
intelligent medicine
target
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CN111000542A (en
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李燕舞
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Guangzhou Xiangyao Hulian Optimization Technology Co ltd
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Guangzhou Xiangyao Hulian Optimization Technology Co ltd
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    • 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
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Abstract

The invention discloses a method and a device for realizing body abnormity early warning based on an intelligent medicine box, wherein the method comprises the steps of detecting a physiological parameter detection request triggered by a user by the intelligent medicine box, and starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request; the intelligent medicine box detects the physiological parameters of the user according to the physiological parameter detection function and detects whether the body of the user is abnormal or not according to all the physiological parameters; if the abnormity is detected, the intelligent medicine box outputs a body abnormity prompt. Therefore, by integrating the physiological parameter acquisition function of the intelligent medicine box, the physiological parameters of the user can be detected in time, and when the body of the user is detected to be abnormal, the body abnormity reminding can be automatically output to the user to remind the user that the body of the user is abnormal, so that the user can execute corresponding treatment according to the body abnormity reminding, and the harm of diseases to the user can be reduced; the intelligent function of intelligent medical kit can also be enriched.

Description

Method and device for realizing body abnormity early warning based on intelligent medicine chest
Technical Field
The invention relates to the technical field of intelligent medicine boxes, in particular to a method and a device for realizing body abnormity early warning based on an intelligent medicine box.
Background
Along with the rapid development of society, the physical condition of people is better and better, and the physical quality of people is worse and worse due to the frequent occurrence of diseases on the bodies of people under the influence of certain factors (such as overtime, night stay, age increase and the like). Practice shows that when the human body is abnormal, particularly chronic historical diseases, people are difficult to detect, and when people detect the abnormal diseases, people can think about finding doctors, prescribing medicines or going to a pharmacy to purchase medicines for treatment, but at the moment, the disease condition can become serious, and the health of people is seriously damaged. Therefore, a scheme of timely finding the body abnormality of the user to reduce the harm of diseases to the user is very important.
Disclosure of Invention
The invention aims to solve the technical problem that a method and a device for realizing body abnormity early warning based on an intelligent medicine box are provided, and the physiological parameter acquisition function of the intelligent medicine box is integrated, so that the body abnormity of a user can be found in time, and the harm of diseases to the user is favorably reduced.
In order to solve the technical problem, a first aspect of the embodiments of the present invention discloses a method for implementing body abnormality early warning based on an intelligent medicine box, where the method is applied to the intelligent medicine box, and the method includes:
the intelligent medicine box detects a physiological parameter detection request triggered by a user, and starts a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request;
the intelligent medicine box detects the physiological parameters of the user according to the physiological parameter detection function to obtain a physiological parameter set, and detects whether the body of the user is abnormal according to all the physiological parameters in the physiological parameter set;
when the body of the user is detected to be abnormal, the intelligent medicine box outputs a body abnormity prompt, and the body abnormity prompt is used for prompting the body of the user to be abnormal.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the detecting, by the intelligent medicine box according to the physiological parameter detecting function, a physiological parameter of the user to obtain a physiological parameter set includes:
the intelligent medicine box acquires face image data of the user based on an image acquisition device of the intelligent medicine box, inputs the face image data into a pre-established physiological parameter detection model for analysis to obtain an analysis result output by the physiological parameter detection model, and determines the analysis result as a physiological parameter of the user to obtain a physiological parameter set; and/or the presence of a gas in the gas,
the intelligent medicine box outputs a detection prompt to the user, the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring physiological parameters of different types;
after the body detection part is placed on the placement area by the user and is sensed, the intelligent medicine box measures the physiological parameters of the user based on the sensors of different types to obtain a physiological parameter set.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
the intelligent medicine box determines all historical diseases suffered by the user, and screens all target historical diseases with the disease severity arranged in the first several names from all the historical diseases;
and the intelligent medicine box detects whether the body of the user is abnormal according to all the physiological parameters in the physiological parameter set, and the method comprises the following steps:
the intelligent medicine box screens target physiological parameters corresponding to each target historical disease from all the physiological parameters in the physiological parameter set, and the numerical value of the target physiological parameter corresponding to each target historical disease is a reference index of the severity of the disease condition corresponding to the target historical disease;
the intelligent medicine chest judges whether the numerical value of the target physiological parameter corresponding to each target historical disease is within a preset numerical value range of the target physiological parameter;
when the numerical value of the target physiological parameter corresponding to at least one target historical disease is judged to be out of the preset numerical value range of the target physiological parameter, the intelligent medicine box determines that the body of the user is abnormal.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, when it is determined that the value of the target physiological parameter corresponding to each target historical disease is within the preset value range of the target physiological parameter, the intelligent medicine box determines a weight value corresponding to each physiological parameter in the set of physiological parameters, calculates a product of each physiological parameter and the weight value corresponding to the physiological parameter, and accumulates all the products to obtain the health value of the user;
and the intelligent medicine box judges whether the health value is less than or equal to a preset health value threshold value, and determines that the body of the user is abnormal when the health value is less than or equal to the preset health value threshold value.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining, by the intelligent medicine box, a weight value corresponding to each physiological parameter in the set of physiological parameters includes:
the intelligent medicine box determines a target weight table corresponding to the user identification of the user according to a predetermined incidence relation between the user identification and the weight table, wherein the target weight table comprises different weight values corresponding to different physiological parameters;
and the intelligent medicine box determines a weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
when the body of the user is detected to be abnormal, the intelligent medicine box determines a target abnormal level corresponding to the body of the user according to all the physiological parameters in the physiological parameter set;
and the intelligent medicine box judges whether the target abnormal level is greater than or equal to a predetermined abnormal level threshold value, and when the target abnormal level is greater than or equal to the abnormal level threshold value, the intelligent medicine box sends a rescue prompt to at least one rescue platform which is in wireless connection with the intelligent medicine box in advance, wherein the rescue prompt at least comprises identification information used for representing the geographical position of the user.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the intelligent medicine box detects a physiological parameter detection request triggered by a user, and before the intelligent medicine box starts a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request, the method further includes:
the intelligent medicine box judges whether the user is in a preset area range corresponding to the intelligent medicine box, wherein the preset area range is an area range set based on the intelligent medicine box;
when the user is judged not to be in the preset area range, the intelligent medicine box determines the user geographical position of the user and generates a moving track according to the current geographical position of the intelligent medicine box and the user geographical position;
the intelligent medicine box controls a moving device of the intelligent medicine box to start so that the intelligent medicine box moves towards the direction of the user based on the moving track;
and when the intelligent medicine box is detected to move to the preset area range, triggering and executing the operation of starting the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
The second aspect of the embodiment of the invention discloses a device for realizing body abnormity early warning based on an intelligent medicine box, which is applied to the intelligent medicine box, and comprises:
the first detection module is used for detecting a physiological parameter detection request triggered by a user;
the starting module is used for starting the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request;
the first detection module is further configured to detect a physiological parameter of the user according to the physiological parameter detection function to obtain a physiological parameter set;
the second detection module is used for detecting whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set;
and the output module is used for outputting body abnormity reminding when the second detection module detects that the body of the user is abnormal, and the body abnormity reminding is used for reminding the user that the body of the user is abnormal.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the detecting module detects the physiological parameter of the user according to the physiological parameter detecting function, and a manner of obtaining the physiological parameter set specifically includes:
acquiring face image data of the user by an image acquisition device based on the intelligent medicine box, inputting the face image data into a pre-established physiological parameter detection model for analysis to obtain an analysis result output by the physiological parameter detection model, and determining the analysis result as a physiological parameter of the user to obtain a physiological parameter set; and/or the presence of a gas in the atmosphere,
outputting a detection prompt to the user, wherein the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring physiological parameters of different types;
after the body detection part is placed on the placement area by the user to be sensed, the physiological parameters of the user are measured based on the sensors of different types, and a physiological parameter set is obtained.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:
a first determination module for determining all historical diseases suffered by the user;
the screening module is used for screening all target historical diseases with the disease severity arranged in a plurality of previous names from all the historical diseases;
and the second detection module comprises a screening submodule, a judging submodule and a determining submodule, wherein:
the screening submodule is used for screening target physiological parameters corresponding to each target historical disease from all the physiological parameters in the physiological parameter set, and the numerical value of the target physiological parameter corresponding to each target historical disease is a reference index of the severity of the disease condition corresponding to the target historical disease;
the judgment submodule is used for judging whether the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter;
the determining submodule is used for determining that the body of the user is abnormal when the judging submodule judges that the value of the target physiological parameter corresponding to at least one target historical disease is not in the preset value range of the target physiological parameter.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the second detection module further includes a calculation sub-module and an accumulation sub-module, where:
the determining submodule is further configured to determine a weight value corresponding to each physiological parameter in the physiological parameter set when the judging submodule judges that the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter;
the calculating submodule is used for calculating the product of each physiological parameter and the weight value corresponding to the physiological parameter;
the accumulation submodule is used for accumulating all the products to obtain the health value of the user;
the judgment submodule is also used for judging whether the health value is less than or equal to a preset health value threshold value;
the determining submodule is further configured to determine that the body of the user is abnormal when the judging submodule judges that the health value is smaller than or equal to the preset health value threshold.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the manner in which the determining sub-module determines the weight value corresponding to each physiological parameter in the physiological parameter set specifically is:
determining a target weight table corresponding to the user identification of the user according to the predetermined incidence relation between the user identification and the weight table, wherein the target weight table comprises different weight values corresponding to different physiological parameters;
determining a weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:
the second determining module is used for determining a target abnormality level corresponding to the body of the user according to all the physiological parameters in the physiological parameter set when the second detecting module detects that the body of the user is abnormal;
the first judgment module is used for judging whether the target abnormal level is greater than or equal to a predetermined abnormal level threshold value;
and the sending module is used for sending a rescue prompt to at least one rescue platform which is in wireless connection with the intelligent medicine box in advance when the first judging module judges that the target abnormal grade is greater than or equal to the abnormal grade threshold, wherein the rescue prompt at least comprises identification information used for representing the geographical position of the user.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:
a second determining module, configured to determine whether the user is in a preset area range corresponding to the intelligent medicine box after the first detecting module detects a physiological parameter detection request triggered by the user and before the starting module starts a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request, where the preset area range is an area range set based on the intelligent medicine box;
a third determining module, configured to determine a user geographic location of the user when the second determining module determines that the user is not within the preset area range;
the generating module is used for generating a moving track according to the current geographical position of the intelligent medicine box and the geographical position of the user;
a control module, configured to control a moving device of the smart medicine boxes to start up so that the smart medicine boxes move toward the user based on the movement trajectory;
the first detection module is further configured to detect whether the intelligent medicine box moves to the preset area range;
the starting module is specifically configured to:
and when the first detection module detects that the intelligent medicine box moves to the preset area range, starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
The third aspect of the invention discloses another device for realizing body abnormity early warning based on an intelligent medicine chest, which comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program codes stored in the memory to execute the method for realizing the body abnormity early warning based on the intelligent medicine box disclosed by the first aspect of the invention.
The fourth aspect of the present invention discloses a computer-storable medium that stores computer instructions for executing the method for realizing body abnormality early warning based on the intelligent medicine chest disclosed in the first aspect of the present invention when the computer instructions are invoked.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for realizing body abnormity early warning based on an intelligent medicine box, wherein the method comprises the steps of detecting a physiological parameter detection request triggered by a user by the intelligent medicine box, and starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request; the intelligent medicine box detects the physiological parameters of the user according to the physiological parameter detection function to obtain a physiological parameter set, and detects whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set; when the body of the user is detected to be abnormal, the intelligent medicine box outputs a body abnormity prompt, and the body abnormity prompt is used for prompting the user that the body of the user is abnormal. Therefore, by integrating the physiological parameter acquisition function of the intelligent medicine box, the physiological parameters of the user can be detected in time, and when the body of the user is detected to be abnormal, the body abnormity reminding can be automatically output to the user to remind the user that the body of the user is abnormal, so that the user can execute corresponding treatment according to the body abnormity reminding, and the harm of diseases to the user can be reduced; the intelligent function of intelligent medical kit can also be enriched.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for implementing body abnormality early warning based on an intelligent medicine box, which is disclosed by an embodiment of the invention;
fig. 2 is a schematic flow chart of another method for implementing body abnormality early warning based on an intelligent medicine box, which is disclosed by the embodiment of the invention;
fig. 3 is a schematic structural diagram of an apparatus for implementing body abnormality early warning based on an intelligent medicine box, disclosed by an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another apparatus for implementing body abnormality early warning based on an intelligent medicine box, which is disclosed by the embodiment of the invention;
fig. 5 is a schematic structural diagram of another apparatus for implementing body abnormality early warning based on an intelligent medicine box, which is disclosed by the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. And "user terminal" and "terminal device" in the specification and claims of the present invention are both referred to as "user terminal" or "terminal device". Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a method and a device for realizing body abnormity early warning based on an intelligent medicine box, which can detect physiological parameters of a user in time by integrating physiological parameter acquisition functions of the intelligent medicine box, and can automatically output body abnormity reminding to the user when the body of the user is detected to be abnormal so as to remind the user that the body of the user is abnormal, thus being beneficial to the user to execute corresponding treatment according to the body abnormity reminding and further being beneficial to reducing harm of diseases to the user; the intelligent function of intelligence medical kit can also be richened. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for implementing body abnormality early warning based on an intelligent medicine box according to an embodiment of the present invention. The method for realizing body abnormality early warning based on the intelligent medicine box described in fig. 1 may be applied to the intelligent medicine box, and the embodiment of the present invention is not limited. As shown in fig. 1, the method for implementing body abnormality early warning based on the intelligent medicine chest may include the following operations:
101. and the intelligent medicine box detects a physiological parameter detection request triggered by a user.
In the embodiment of the present invention, the user is any user who triggers a physiological parameter detection request, and the physiological parameter detection request may be triggered by the user through a physiological parameter detection key (a physical key or a virtual key) on the smart medicine box, may be triggered by a physiological parameter detection icon output by a display screen of the smart medicine box, may be triggered by a voice with a preset detection keyword (for example, detecting a physiological parameter, etc.) input to the smart medicine box by the user through a sound pickup device on the smart medicine box, and may also be triggered by giving the user a preset detection gesture and/or a preset detection gesture (for example, N, etc.), which is not limited in the embodiment of the present invention. Therefore, by providing a plurality of triggering modes of the physiological parameter detection request, the triggering modes of the physiological parameter detection request can be enriched, the triggering flexibility of the physiological parameter detection request is improved, the triggering success probability of the physiological parameter detection request is improved, and the possibility of detecting the physiological parameter of the user is improved.
In the embodiment of the present invention, optionally, after detecting the physiological parameter detection request triggered by the user, the intelligent medicine box may further output a detection instruction to instruct the user how to detect the physiological parameter, so as to improve the possibility of successfully detecting the physiological parameter of the user. The output mode of the prompt message may be a voice output mode, a mode of outputting through a display screen on the intelligent medicine box, or a combination of the two, and the embodiment of the present invention is not limited.
For example, when a user triggers a physiological parameter detection request through a physiological parameter detection button on the intelligent medicine box or a physiological parameter detection icon output by a display screen of the intelligent medicine box, the intelligent medicine box may output a voice and/or output "please open a palm and/or please face the intelligent medicine box, the palm faces the intelligent medicine box, and the intelligent medicine box is gently placed in a detection area of the intelligent medicine box" on the display screen.
102. And the intelligent medicine box starts the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
103. The intelligent medicine box detects the physiological parameters of the user according to the physiological parameter detection function to obtain a physiological parameter set.
In an embodiment of the present invention, the physiological parameter included in the physiological parameter set includes, but is not limited to, at least one of heart rate, blood pressure, blood lipid, blood oxygen, and the like of the user. Further, the physiological parameter included in the physiological parameter set may further include at least one of fasting blood glucose, total cholesterol, bad cholesterol, triglyceride, thyroid stimulating hormone, and body mass index, which is not limited in the embodiments of the present invention. Therefore, the more the physiological parameters contain, the more the judgment accuracy of the body abnormal condition of the user is improved.
In an embodiment of the present invention, as an optional implementation manner, the detecting, by the intelligent medicine box according to the physiological parameter detecting function, the physiological parameter of the user to obtain the physiological parameter set may include:
the intelligent medicine box acquires face image data of a user based on an image acquisition device of the intelligent medicine box, inputs the face image data into a pre-established physiological parameter detection model for analysis, obtains an analysis result output by the physiological parameter detection model, determines the analysis result as a physiological parameter of the user, and obtains a physiological parameter set.
In this alternative embodiment, the physiological parameter detection model is established as follows:
the intelligent medicine box acquires M sample face image data, performs frame extraction operation on each sample face image data respectively to obtain P sequence pictures corresponding to the sample face image data, and performs region-of-interest operation on the P sequence pictures based on a predetermined face recognition algorithm (such as Fisherface and the like) to obtain a user face region-of-interest, for example: the acquisition objects corresponding to the M pieces of sample facial image data comprise healthy users, users with mild diseases and users with serious diseases; therefore, the accuracy and the reliability of the establishment of the physiological parameter detection model can be improved, and the high-accuracy physiological parameter can be detected;
the intelligent medicine box executes RGB channel separation operation on the face interesting region, and executes independent component analysis processing on the face interesting region after the channel separation operation is executed, so as to obtain sample physiological parameters of the sample face image data;
and the intelligent medicine box executes training operation on each sample face image data and the sample physiological parameters corresponding to the sample face image data based on the predetermined neural network model to obtain a physiological parameter detection model serving as the pre-established physiological parameter detection model. The Neural Network model includes, but is not limited to, at least one of a deep Convolutional Neural Network (CNN) model, a Recurrent Neural Network (RNN) model, and a Long-Short Term Memory Network (LSTM) model. Therefore, the physiological parameter detection model is established in advance, so that the physiological parameter detection model can be directly used for detecting the physiological parameters of the user subsequently, and the detection efficiency of the physiological parameters is improved.
In this optional embodiment, further, before the face image data is input into the pre-established physiological parameter detection model for analysis, and the analysis result output by the physiological parameter detection model is obtained, the intelligent medicine box further determines the age bracket of the user (for example, 25 years to 40 years) according to the age of the user, and selects a physiological parameter detection model matching with the age bracket from all the pre-established physiological parameter detection models, and triggers the operation of inputting the face image data into the pre-established physiological parameter detection model for analysis, and obtaining the analysis result output by the physiological parameter detection model. Therefore, the corresponding physiological parameter detection model is selected for the user according to the age of the user, the detection accuracy of the physiological parameters of the user can be further improved, and the accuracy of judging whether the body of the user is abnormal or not is further improved.
In this optional embodiment, further, before the image capturing device based on the smart medicine box captures the face image data of the user, the smart medicine box detects whether the face of the user is within a preset angle range (for example, an angle range formed by a left deviation and a right deviation of 15 degrees with a position of the image capturing device as a center line) corresponding to the image capturing device, and if the face of the user is within the preset angle range, directly triggers and executes the operation of capturing the face image data of the user by the image capturing device based on the smart medicine box; and if the face image data is not within the preset angle range, controlling the mobile device of the intelligent medicine box to rotate so that the face of the user is within the preset area range corresponding to the image acquisition device, and triggering and executing the operation of acquiring the face image data of the user by the image acquisition device based on the intelligent medicine box. Whether the face of the user is within the effective angle range of the image acquisition device of the intelligent medicine box or not is judged firstly, if yes, the follow-up operation of acquiring the image data is continuously executed, and if not, the intelligent medicine box is actuated to rotate, so that the face of the user is within the effective angle range of the image acquisition device, the possibility of acquiring the face image data with high accuracy can be improved, the detection accuracy of the physiological parameters of the user is improved, and the detection accuracy of whether the body of the user is abnormal or not is improved.
Therefore, the optional embodiment can realize the acquisition of the physiological parameters of the user by acquiring the face image data of the user and analyzing the image data; and physiological parameters can be conveniently acquired by a user with mobility disability or a disabled user (such as a user without arms) in a non-contact mode through face image data.
In an embodiment of the present invention, as another optional implementation manner, the detecting, by the intelligent medicine box according to the physiological parameter detecting function, the physiological parameter of the user to obtain the physiological parameter set may include:
the intelligent medicine box outputs a detection prompt to a user, the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring the physiological parameters of different types;
after detecting that the user places the body detection part on the placement area for induction, the intelligent medicine box measures the physiological parameters of the user based on different types of sensors to obtain a physiological parameter set.
In this alternative embodiment, the body detection site may comprise a palm of the user's hand and/or an arm of the user.
In this alternative embodiment, the placement area is fitted with different types of sensors, for example: heart rate sensors, blood pressure sensors, blood oxygen sensors, blood lipid sensors, pulse sensors, etc.
In this alternative embodiment, the placement area may be provided in any area of the smart medicine boxes other than the pedestal of the smart medicine boxes, for example: the intelligent medical kit is towards outside casing upper surface. Further, the placing area is provided with a corresponding indication icon, and the indication icon is used for indicating that the placing area is a body detection part placing area. Still further, the placing area is provided with a corresponding protection device (such as a cover), and when the physiological parameters of the user need to be detected, the intelligent medicine boxes control the protection device to be started so that the placing area is displayed on the user. This can protect the placement area to reduce the occurrence of situations in which the placement area is damaged, thereby affecting the detection of the physiological parameter of the user.
In this alternative embodiment, the detection instruction may further include a placement duration (e.g., 30 s) for the body detection part to be placed in the placement area and/or a placement notice, where the placement notice may include, but is not limited to, that the body detection part is facing the smart medicine box (e.g., palm center of palm is facing the smart medicine box, etc.), and that the body detection part should not occupy water.
It can be seen that this alternative embodiment enables detection of a physiological parameter of a user by outputting to the user that his body detection site is placed in the placement area.
It should be noted that the physiological parameters of the user can be detected by the non-contact and contact methods, and the physiological parameters of the same type detected by the two detection methods are averaged to obtain the physiological parameters of the type. Therefore, the detection modes of the physiological parameters of the user are enriched, and the detection accuracy and reliability of the physiological parameters of the user can be improved.
104. The intelligent medicine box detects whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set; when it is detected that there is an abnormality in the user's body, execution of step 104 may be triggered; when it is detected that there is no abnormality in the body of the user, the process may be ended.
In an alternative embodiment, after step 102 is executed and before step 103 is executed, the method for implementing the body abnormality warning based on the smart medicine box may include the following operations:
the intelligent medicine box acquires the physiological parameters of the user sent by the wearable device, and the physiological parameters are monitored by the wearable device.
The intelligent medicine box averages the physiological parameters sent by the wearable equipment and the physiological parameters of the same type detected based on the physiological parameter detection function to obtain the averaged physiological parameters.
In this optional embodiment, as an optional implementation manner, the detecting, by the intelligent medicine box, whether there is an abnormality in the body of the user according to all the physiological parameters in the physiological parameter set may include:
and the intelligent medicine chest detects whether the body of the user is abnormal or not according to all the averaged physiological parameters.
In this optional embodiment, the wireless connection between the wearable device and the smart medicine box includes, but is not limited to, any one of WIFI, a base station (e.g., 2G, 3G, 4G, 5G, etc.), an internet of things, and the like. When the current position of the wearable device and the current position of the intelligent medicine box are within the Bluetooth communication range corresponding to the intelligent medicine box, the wireless connection between the wearable device and the intelligent medicine box can comprise Bluetooth wireless connection. This provides multiple wireless connections that can improve the probability of success in the transmission of data (e.g., physiological parameters).
In this alternative embodiment, the wearable device includes, but is not limited to, at least one of a smart bracelet, smart glasses, a smart ring, a smart shoe, a smart garment, a smart hat, a sphygmomanometer, a thermometer, and the like, capable of monitoring physiological parameters of the user.
Therefore, in the optional embodiment, the physiological parameters detected by the physiological parameter detection function of the intelligent medicine box and the physiological parameters sent by the wearable device are averaged, and whether the body of the user is abnormal or not is judged based on the averaged physiological parameters, so that the accuracy of judging whether the body of the user is abnormal or not can be improved.
In another optional embodiment, the method for implementing the body abnormality warning based on the intelligent medicine chest may include the following operations:
the intelligent medicine box determines all historical diseases suffered by the user, and screens all target historical diseases with the disease severity arranged in the first several names from all historical diseases.
In this optional embodiment, as an optional implementation manner, the detecting, by the intelligent medicine box, whether there is an abnormality in the body of the user according to all the physiological parameters in the physiological parameter set may include:
the intelligent medicine box screens target physiological parameters corresponding to each target historical disease from all physiological parameters in the physiological parameter set, and the numerical value of the target physiological parameter corresponding to each target historical disease is a reference index of the severity of the illness state corresponding to the target historical disease;
the intelligent medicine chest judges whether the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter;
when the fact that the numerical value of the target physiological parameter corresponding to at least one target historical disease is not within the preset numerical value range of the target physiological parameter is judged, the intelligent medicine box determines that the body of the user is abnormal.
For example, a user once suffers from viral myocarditis, hyperlipidemia, cold, fever and the like, and myocarditis and hyperlipidemia are relatively serious, wherein an important physiological parameter index of viral myocarditis is heart rate, and an important physiological parameter index of hyperlipidemia is blood lipid.
Therefore, in the optional embodiment, by acquiring the value of the physiological parameter corresponding to the more serious historical disease suffered by the user and determining that the body of the user is abnormal when the value is not within the preset value range corresponding to the physiological parameter, all the physiological parameters do not need to be processed, not only can the judgment on whether the body of the user is abnormal be realized, but also the judgment efficiency on whether the body of the user is abnormal can be improved.
In another optional embodiment, the method for realizing the body abnormity early warning based on the intelligent medicine chest can comprise the following operations:
when the numerical value of the target physiological parameter corresponding to each target historical disease is judged to be within the preset numerical value range of the target physiological parameter, the intelligent medicine box determines the weight value corresponding to each physiological parameter in the physiological parameter set, calculates the product of each physiological parameter and the weight value corresponding to the physiological parameter, and accumulates all the products to obtain the health value of the user;
and the intelligent medicine box judges whether the health value is less than or equal to a preset health value threshold value, and determines that the body of the user is abnormal when the health value is less than or equal to the preset health value threshold value.
In this alternative embodiment, each physiological parameter has a corresponding weight value. And each user has a corresponding preset health value threshold.
In this optional embodiment, as an optional implementation manner, the intelligent medicine box determines an objective weight table corresponding to the user identifier of the user according to a predetermined association relationship between the user identifier and the weight table, where the objective weight table includes different weight values corresponding to different physiological parameters;
and the intelligent medicine box determines the weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
In this alternative embodiment, since each person has a different physical condition, i.e. the reference main physiological parameters are different, different users have corresponding weight tables. Wherein the weight table is determined according to the user's historical diseases, such as: when the disease a is severe and the important reference physiological parameter of the disease a is blood oxygen, the weight value of the blood oxygen is large.
Therefore, in the optional embodiment, the determination of the weight value of each physiological parameter of the user can be realized by acquiring the weight table corresponding to the physiological parameter of the user; and the determination efficiency of the weight table corresponding to the physiological parameters of the user can be improved by pre-establishing the association relationship between the user identifier and the weight table.
Therefore, in the optional embodiment, when it is determined that the value of the physiological parameter corresponding to the relatively serious historical disease suffered by the user is within the preset value range corresponding to the physiological parameter, the sum of the health values corresponding to all the physiological parameters of the user is further calculated based on the weight value of each physiological parameter, and when the sum of the health values is smaller, it is determined that the body of the user is abnormal, so that it is possible to determine whether the body of the user is abnormal, reduce the possibility that the body of the user is abnormal and is not detected, enrich the determination method of the body abnormality of the user, and enrich the intelligent function of the intelligent medicine box.
In yet another optional embodiment, the method for implementing body abnormality warning based on the intelligent medicine chest may include the following operations:
when the body of the user is detected to be abnormal, the intelligent medicine box determines a target abnormal grade corresponding to the body of the user according to all physiological parameters in the physiological parameter set;
the intelligent medicine box judges whether the target abnormal grade is larger than or equal to a predetermined abnormal grade threshold value, and when the target abnormal grade is judged to be larger than or equal to the abnormal grade threshold value, a rescue prompt is sent to at least one rescue platform which is in wireless connection with the intelligent medicine box in advance, wherein the rescue prompt at least comprises identification information used for representing the geographical position of a user.
In this optional embodiment, when it is determined that the target abnormal level is not greater than or equal to the abnormal level threshold, the intelligent medicine box ends the process.
In this alternative embodiment, the rescue platform includes 120 a medical rescue platform and/or a community rescue platform. Further, the rescue platform may store geographical locations of all the intelligent medicine boxes in advance, and the rescue platform numbers each of the intelligent medicine boxes and associates each of the intelligent medicine boxes with a number corresponding to the intelligent medicine box. Therefore, when the rescue prompt is received, even if the current geographical position of the intelligent medicine box is not received, the geographical position of the intelligent medicine box can be quickly determined through the serial number of the intelligent medicine box, and the acquisition possibility of the geographical position of the intelligent medicine box is favorably improved.
In this alternative embodiment, the identification information may include a location identification of the smart medicine box and/or a unique model identification of the smart medicine box. Wherein, the rescue platform confirms the current geographical position that is located of intelligent medical kit according to the position sign of intelligent medical kit, for example: when the position mark of the intelligent medicine box is 7 Qingshan green water communities 88, the rescue platform can determine that the current geographic position of the intelligent medicine box is the Qingshan avenue 90 according to the 7 Qingshan green water communities 88. Further, the rescue prompt may further include, but is not limited to, at least one of a geographical location detected by the smart medicine box, a target abnormality level, an abnormality specification, a medication condition of the user, a historical disease description of the user, an age of the user, and a gender of the user.
In this alternative embodiment, each intelligent medicine box has a corresponding unique model identifier. This is favorable to the rescue platform to distinguish every intelligent medical kit. The rescue platform stores a corresponding relationship between the model identifier and the geographic position in advance, for example: the intelligent medicine boxes with the model number 7-graghh correspond to the geographical positions of the university city middle ring 909. When a rescue prompt containing the unique model identification of the intelligent medicine box is received, the rescue platform determines the geographic position corresponding to the unique model identification as the current geographic position of the intelligent medicine box according to the corresponding relation between the model identification and the geographic position. Therefore, the current geographical position of the intelligent medicine box is determined according to the unique model identification of the intelligent medicine box, and the determination possibility of the current geographical position of the intelligent medicine box can be improved.
In this optional embodiment, when it is detected that there is no rescue platform that establishes a wireless connection with the intelligent medicine boxes in advance, the rescue platform is determined for the user by traversing in a predetermined map, and a rescue prompt is sent to the rescue platform. Therefore, even if the intelligent medicine box is not provided with the bound rescue platform, the rescue platform can be determined for the user through the map, and the possibility that the user can be rescued is further improved.
Therefore, after the optional embodiment detects that the body of the user is abnormal, the abnormal level corresponding to the body of the user is further determined, and the rescue prompt is sent to the medical platform when the abnormal level is higher, so that the medical platform can conveniently go to the place where the user is located in time, the user can be rescued, and the influence of the body abnormality on the body of the user is reduced.
In still another optional embodiment, the method for implementing body abnormality warning based on the intelligent medicine chest may include the following operations:
when the body of the user is detected to be abnormal, or when the target abnormal grade is judged to be greater than or equal to the abnormal grade threshold value, the intelligent medicine box judges whether the user is a user who is inconvenient to move;
when the situation that the user is a user with inconvenient actions is judged, the intelligent medicine box determines at least one terminal device which is in wireless connection with the intelligent medicine box in advance, and sends an abnormal prompt to all the terminal devices, wherein the abnormal prompt is used for prompting the holder of the terminal device that the body of the user has abnormal conditions.
In this alternative embodiment, the exception prompt may include a specific exception condition for the user and/or the geographic location of the user.
In this alternative embodiment, all users who are not convenient to walk are called users who are not convenient to move, for example: a user with an injured leg.
In this alternative embodiment, when the alternative embodiment is that the alternative embodiment corresponds to when the target abnormality level is determined to be greater than or equal to the abnormality level threshold, the abnormality prompt further includes a target abnormality level corresponding to the body of the user.
It can be seen that, in the optional embodiment, when it is detected that the body of the user is abnormal or it is determined that the abnormal level of the body of the user is high, an abnormality prompt is automatically sent to the terminal device which is in wireless connection with the intelligent medicine box in advance, so that a holder of the terminal device can know that the body of the user is abnormal, and the user is reminded to pay attention to the body and/or go to the place where the user is located in time to rescue the user.
105. The intelligent medicine box outputs a body abnormity prompt which is used for prompting a user that the body of the user is abnormal.
In the embodiment of the present invention, the body abnormality reminder may include, but is not limited to, all physiological parameters, a value of each physiological parameter, a preset normal range value of each physiological parameter, and a type of possible illness. Further, the body abnormality reminder may further include medicine information corresponding to the medicine corresponding to the type of the possible illness. Wherein the drug information may include a drug identification.
In the embodiment of the invention, the body abnormity prompt is output for the user to check, specifically: outputting a body abnormity prompt corresponding to the target medicine to the user based on a first output device of the intelligent medicine chest; and/or sending a body abnormity prompt to a mobile terminal of the user, so that the mobile terminal outputs the body abnormity prompt to the user based on a second output device of the mobile terminal. Therefore, the body abnormity prompt is output to the user through the intelligent medicine box and/or the mobile terminal of the user, the output flexibility of the body abnormity prompt can be improved, the possibility that the user successfully knows the body abnormity prompt is improved, and the user can plan life according to the body abnormity prompt conveniently; and when the user is not near the intelligent medicine box, outputting the body abnormity prompt to the user through the mobile terminal of the user, so that the situation that the user cannot know the body abnormity prompt because the body abnormity prompt is output only through the intelligent medicine box can be reduced.
In the embodiment of the invention, the first output device can comprise a first display output device (for example, a display screen) and/or a first voice output device (for example, a loudspeaker) of the intelligent medicine box; the second output device may include a second display output device (e.g., a display screen) and/or a second voice output device (e.g., a speaker) of the mobile terminal. That is, the output mode of the physical abnormality reminder may include a display output mode and/or a voice output mode. Therefore, the body abnormity prompt is output to the user through the display output mode and/or the voice output mode, the output flexibility of the body abnormity prompt can be further improved, and the possibility that the user successfully knows the body abnormity prompt is further improved; the body abnormity prompt is output in a display output mode, so that a user with insensitive hearing can know the body abnormity prompt by checking the display content (such as character content) of the display output device; and the abnormal body reminding is output in a voice output mode, so that a user with poor eyesight can know the abnormal body reminding by listening to the broadcast content of the voice output device.
In yet another optional embodiment, the method for implementing body abnormality warning based on the intelligent medicine chest may further include the following steps:
and the intelligent medicine box acquires the audio-visual condition of the user, selects a target output mode matched with the user according to the audio-visual condition of the user, and triggers and executes the step 104 based on the target output mode.
In this optional embodiment, the intelligent medicine box selects a target output mode matched with the user according to the hearing and vision condition of the user, and specifically, when the hearing value of the user is less than or equal to a first preset hearing threshold value (for example, 25 db) and the vision value of the user is within a preset vision range value (for example, 4.5 to 5.2), the intelligent medicine box outputs a physical abnormality reminder in the two modes; when the vision value of the user is not within the preset vision range value, the intelligent medicine box outputs a body abnormity prompt through the first voice output device; when the hearing value of the user is greater than or equal to a first preset hearing value threshold value and less than or equal to a first preset hearing value threshold value (for example, 45 decibels), the intelligent medicine box determines the volume decibel corresponding to the user according to the hearing value of the user, and controls the first voice output device to output the body abnormity prompt of the user according to the volume decibel; when the hearing value of the user is larger than the second preset hearing value threshold value, the intelligent medicine box outputs body abnormity reminding of the user through the first display output device. Therefore, the body abnormity reminding is output to the user in a mode of matching the audio and visual condition of the user with the audio and visual condition of the user, the possibility that the user successfully knows the body abnormity reminding can be improved, the experience of the user is improved, and the intelligent function of the intelligent medicine box is enriched.
Therefore, in the optional embodiment, before the body abnormality reminder of the user is output, the audiovisual condition of the user is determined, and the body abnormality reminder of the user is output in an output mode matched with the audiovisual condition of the user, so that the possibility that the user knows that the body is abnormal is improved.
In yet another optional embodiment, the method for implementing body abnormality warning based on the intelligent medicine chest may further include the following steps:
when the body of the user is detected to be abnormal, the intelligent medicine box determines a target medicine corresponding to the physiological parameter and judges whether the target medicine is stored in the intelligent medicine box;
and when the target medicine is stored in the intelligent medicine chest, outputting a medicine taking reminder to the user.
In this optional embodiment, when it is determined that the target medicine is not stored in the intelligent medicine box, the intelligent medicine box recommends the pharmacy selling the target medicine to the user. Through recommending the pharmacy to the user like this, even when not having required medicine in the intelligent medicine case, also can in time alleviate user's state of an illness through purchasing the medicine.
It can be seen that this alternative embodiment further automatically selects a drug for the user in the intelligent medicine box upon detecting the presence of an abnormality in the user's body, which is helpful for the user to recover.
It can be seen that, by implementing the method for realizing body abnormality early warning based on the intelligent medicine box described in fig. 1, the physiological parameters of the user can be detected in time through the physiological parameter acquisition function of the integrated intelligent medicine box, and when the body abnormality of the user is detected, a body abnormality prompt can be automatically output to the user to prompt the user that the body is abnormal, so that the user can execute corresponding processing according to the body abnormality prompt, and the harm of historical diseases to the user can be reduced; the intelligent function of intelligent medical kit can also be enriched. In addition, the detection modes of the physiological parameters of the user can be enriched, and the detection accuracy and reliability of the physiological parameters of the user can be improved; the judgment of whether the body of the user is abnormal can be realized, and the judgment efficiency of whether the body of the user is abnormal can be improved; the possibility that the body of the user is abnormal and is not detected can be reduced; the judgment mode of the body abnormity of the user can be enriched, and the intelligent function of the intelligent medicine chest is enriched; the medical platform can conveniently go to the location of the user in time, help the user and reduce the influence of body abnormity on the body of the user; medicines can be automatically selected for the user in the intelligent medicine box, and the user rehabilitation is facilitated; and a proper output mode can be selected according to the audio and visual conditions of the user to output the body abnormity prompt of the user, so that the possibility that the user knows that the body is abnormal can be improved.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another method for implementing body abnormality early warning based on an intelligent medicine box according to the embodiment of the present invention. The method for realizing body abnormality early warning based on the intelligent medicine box described in fig. 2 may be applied to the intelligent medicine box or a background server/background service platform (cloud service platform) corresponding to the intelligent medicine box, and the embodiment of the present invention is not limited. As shown in fig. 2, the method for implementing body abnormality early warning based on the intelligent medicine chest may include the following operations:
201. and the intelligent medicine box detects a physiological parameter detection request triggered by a user.
202. The intelligent medicine box judges whether the user is in a preset area range corresponding to the intelligent medicine box, wherein the preset area range is an area range set based on the intelligent medicine box; when the user is judged not to be in the preset area range, step 203 can be triggered to be executed; when the user is determined to be in the preset area range, the operation of starting the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request in step 205 may be triggered and executed.
In the embodiment of the invention, the preset area range is a circular area formed by taking the intelligent medicine chest as the center of a circle and taking a first preset distance value (for example, 0.2 m) as the radius; the medicine box may be a rectangular area formed with the smart medicine box as the center, the second preset distance value (for example, 0.20 m) as the long side, and the third preset distance value (0.15 m) as the short side.
203. The intelligent medicine box determines the user geographical position of the user, and generates a moving track according to the current geographical position of the intelligent medicine box and the user geographical position.
In an embodiment of the present invention, as an optional implementation manner, the determining, by the intelligent medicine box, the user geographical location of the user may include:
the intelligent medicine box acquires the user geographical position of the user based on the infrared sensor of the intelligent medicine box; and/or the presence of a gas in the gas,
the intelligent medicine box controls a sound detector of the intelligent medicine box to start, detects the sound emitted by the user based on the sound detector, and determines the geographical position of the user based on the sound; and/or the presence of a gas in the gas,
the intelligent medicine box obtains a pre-stored action track of the user, and determines the user geographical position of the user based on the action track.
Therefore, in the optional embodiment, through the infrared sensor and/or the sound detector and/or the action track of the user, not only the geographical position of the user can be determined, but also the determination mode of the geographical position of the user can be enriched, and the determination flexibility of the geographical position of the user is improved; and at least two ways are provided for determining the user geographical position, so that the more reliable and accurate user geographical position can be obtained, and the accurate movement track can be generated.
In an optional embodiment, after determining the geographical location of the user and before generating the movement track according to the current geographical location of the intelligent medicine box and the geographical location of the user, the method for implementing body abnormality early warning based on the intelligent medicine box may further include the following operations:
the intelligent medicine chest determines the positions of all articles between the geographical position of the user and the current geographical position of the intelligent medicine chest;
in this optional embodiment, as an optional implementation manner, the generating, by the intelligent medicine box, a moving trajectory according to the current geographical location of the intelligent medicine box and the geographical location of the user may include:
the intelligent medicine box generates a moving track according to the current geographical position of the intelligent medicine box, the geographical position of the user and the positions of all articles.
It can be seen that, after the geographical position of the user is determined, the optional embodiment further determines the positions of all articles between the geographical position of the user and the current geographical position of the intelligent medicine box, and can generate an accurate moving track, so as to reduce the occurrence of the situation that the articles collide with the intelligent medicine box, save the time that the intelligent medicine box travels to the place where the user is located, reduce the possibility of the intelligent medicine box being lost, and improve the service life of the intelligent medicine box.
204. The intelligent medicine box controls the mobile device of the intelligent medicine box to start, so that the intelligent medicine box moves towards the user based on the moving track.
In the embodiment of the invention, the pedestal of the intelligent medicine box is provided with the sliding wheels, and the intelligent medicine box moves in the region range through the sliding wheels. Further, the mounting position of the trolley of the base of the smart medicine box is not limited, and for example, the mounting position may be at the edge of the base of the smart medicine box and/or in the middle of the base. Further, the number of the slide wheels is not limited, and may be 2 or 4, specifically, it is determined according to the size of the intelligent medicine box and/or the shape of the pedestal. Still further, the movable pulley evenly distributed is at the base of intelligence medical kit. Can make intelligent medical kit steady walking like this to reduce and lead to the circumstances that medicine article vibrate out the medicine box to take place in the intelligence medical kit because of intelligence medical kit walking is not steady, and reduce and lead to the circumstances that the device vibration dropped in the intelligence medical kit because of intelligence medical kit walking is not steady to take place.
205. And when the intelligent medicine box is detected to move to the preset area range, the intelligent medicine box starts the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
Therefore, after a physiological parameter detection request triggered by the user is detected, the optional embodiment further judges whether the user is in the preset area range of the intelligent medicine box, and if not, the user automatically moves towards the user direction, so that the possibility that the physiological parameter of the user is successfully detected can be improved when the user is in the preset area range; and the detection of the physiological parameters can be realized by users who are inconvenient to move, so that the experience of the users is improved.
206. The intelligent medicine box detects the physiological parameters of the user according to the physiological parameter detection function to obtain a physiological parameter set.
207. The intelligent medicine box detects whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set; when the user's body is detected to be abnormal, step 207 may be triggered to be executed; when it is detected that there is no abnormality in the body of the user, the process may be ended.
208. The intelligent medicine box outputs a body abnormity prompt which is used for prompting a user that the body of the user is abnormal.
In the embodiment of the present invention, please refer to the detailed description of steps 101 to 105 in the first embodiment for the related description of steps 201, 205, and 208, which is not described again in the embodiment of the present invention.
It can be seen that, by implementing the method for realizing body abnormality early warning based on the intelligent medicine box described in fig. 2, the physiological parameters of the user can be detected in time through the physiological parameter acquisition function of the integrated intelligent medicine box, and when the body abnormality of the user is detected, a body abnormality prompt can be automatically output to the user to prompt the user that the body is abnormal, which is helpful for the user to execute corresponding processing according to the body abnormality prompt, thereby being helpful for reducing the harm of historical diseases to the user; the intelligent function of intelligent medical kit can also be enriched. In addition, the likelihood of successfully detecting the physiological parameter of the user can be improved; the physiological parameter detection can be realized for users who have inconvenient actions; the determination modes of the geographic positions of the rich users can be determined, and the determination flexibility of the geographic positions of the users is improved; the more reliable and accurate user geographical position can be obtained, and the accurate movement track can be generated; the intelligent medicine box can also generate an accurate moving track to reduce the occurrence of the situation that articles collide with the intelligent medicine box, so that the time that the intelligent medicine box travels to the place where the user is located is saved, the possibility of loss of the intelligent medicine box is reduced, and the service life of the intelligent medicine box is prolonged.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a device for implementing body abnormality early warning based on an intelligent medicine box according to an embodiment of the present invention. The apparatus for realizing body abnormality early warning based on the intelligent medicine box described in fig. 3 may be applied to the intelligent medicine box, and the embodiment of the present invention is not limited. As shown in fig. 3, the apparatus for implementing a physical abnormality warning based on a smart medicine box may include a first detection module 301, an activation module 302, a second detection module 303, and an output module 304, where:
a first detection module 301, configured to detect a physiological parameter detection request triggered by a user.
A starting module 302, configured to start a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
The first detecting module 301 is further configured to detect a physiological parameter of the user according to the physiological parameter detecting function, so as to obtain a physiological parameter set.
A second detecting module 303, configured to detect whether there is an abnormality in the body of the user according to all the physiological parameters in the physiological parameter set.
An output module 304, configured to output a body abnormality reminder when the second detection module 303 detects that the body of the user is abnormal, where the body abnormality reminder is used to remind the user that the body of the user is abnormal.
It can be seen that the apparatus for implementing the body abnormality early warning based on the intelligent medicine box described in fig. 3 can detect physiological parameters of the user in time by integrating the physiological parameter acquisition function of the intelligent medicine box, and can automatically output a body abnormality prompt to the user when detecting that the body of the user is abnormal, so as to prompt the user that the body of the user is abnormal, and help the user to perform corresponding processing according to the body abnormality prompt, thereby helping to reduce the harm of historical diseases to the user; the intelligent function of intelligent medical kit can also be enriched.
In an alternative embodiment, as shown in fig. 3, the first detecting module 301 detects the physiological parameter of the user according to the physiological parameter detecting function, and the manner of obtaining the physiological parameter set specifically is as follows:
the method comprises the steps that an image acquisition device based on an intelligent medicine box acquires face image data of a user, inputs the face image data into a pre-established physiological parameter detection model for analysis, obtains an analysis result output by the physiological parameter detection model, determines the analysis result as a physiological parameter of the user, and obtains a physiological parameter set; and/or the presence of a gas in the gas,
outputting a detection prompt to a user, wherein the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring physiological parameters of different types;
after detecting that the user places the body detection part on the placement area for induction, measuring physiological parameters of the user based on different types of sensors to obtain a physiological parameter set.
It can be seen that, the device for implementing the body abnormality early warning based on the intelligent medicine chest described in fig. 3 can also implement the acquisition of the physiological parameters of the user by acquiring the face image data of the user and analyzing the image data; the physiological parameters can be conveniently acquired by a user with inconvenient movement or a disabled user in a non-contact mode through the face image data; or, the detection of the physiological parameters of the user can be realized by outputting the position of the body detection part of the user in the placement area to the user; the two modes are used for detecting the physiological parameters of the user, so that the detection modes of the physiological parameters of the user are enriched, and the detection accuracy and reliability of the physiological parameters of the user can be improved.
In another alternative embodiment, on the basis of the apparatus for implementing a physical anomaly early warning based on a smart medicine box described in fig. 3, the apparatus for implementing a physical anomaly early warning based on a smart medicine box may further include a first determining module 305 and a screening module 306, at this time, the apparatus for implementing a physical anomaly early warning based on a smart medicine box may be as shown in fig. 4, and fig. 4 is a schematic structural diagram of another apparatus for implementing a physical anomaly early warning based on a smart medicine box, where:
a first determination module 305 for determining all historical diseases suffered by the user.
And the screening module 306 is used for screening all target historical diseases with the disease severity ranking several previous from all historical diseases.
As shown in fig. 4, the second detection module 303 includes a screening submodule 3031, a judging submodule 3032, and a determining submodule 3033, where:
the screening submodule 3031 is configured to screen a target physiological parameter corresponding to each target historical disease from all physiological parameters in the physiological parameter set, where a value of the target physiological parameter corresponding to each target historical disease is a reference indicator of a severity of a disease condition corresponding to the target historical disease.
The determining submodule 3032 is configured to determine whether a value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter.
The determining submodule 3033 is configured to determine that the body of the user is abnormal when the determining submodule 3032 determines that the value of the target physiological parameter corresponding to the existence of the at least one target historical disease is not within the preset value range of the target physiological parameter.
It can be seen that, by acquiring the value of the physiological parameter corresponding to the relatively serious historical disease suffered by the user and determining that the body of the user is abnormal when the value is not within the preset value range corresponding to the physiological parameter, the device for implementing the body abnormality early warning based on the intelligent medicine box described in fig. 4 can not only determine whether the body of the user is abnormal without processing all the physiological parameters, but also improve the efficiency of determining whether the body of the user is abnormal.
In yet another alternative embodiment, as shown in fig. 4, the second detection module 303 further includes a calculation sub-module 3034 and an accumulation sub-module 3035, wherein:
the determining submodule 3033 is further configured to determine, when the determining submodule 3032 determines that the value of the target physiological parameter corresponding to each target historical disease is within the preset value range of the target physiological parameter, a weight value corresponding to each physiological parameter in the physiological parameter set.
The calculating submodule 3034 is configured to calculate a product of each physiological parameter and a weight value corresponding to the physiological parameter.
And an accumulation submodule 3035, configured to accumulate all the products to obtain a health value of the user.
The determining sub-module 3032 is further configured to determine whether the health value is less than or equal to a preset health value threshold.
The determining submodule 3033 is further configured to determine that the body of the user is abnormal when the judging submodule 3032 judges that the health value is smaller than or equal to the preset health value threshold.
It can be seen that, in the implementation of the apparatus for implementing body abnormality early warning based on the intelligent medicine box described in fig. 4, when it is determined that the value of the physiological parameter corresponding to the relatively serious historical disease suffered by the user is within the preset value range corresponding to the physiological parameter, the sum of the health values corresponding to all the physiological parameters of the user is further calculated based on the weight value of each physiological parameter, and when the sum of the health values is smaller, it is determined that the body of the user is abnormal, so that it can be determined whether the body of the user is abnormal, the possibility that the body of the user is not detected when the body of the user is abnormal is reduced, the determination manner of the body abnormality of the user can be enriched, and the intelligent function of the intelligent medicine box can be enriched.
In yet another alternative embodiment, as shown in fig. 4, the determining submodule 3033 determines the weighting value corresponding to each physiological parameter in the physiological parameter set specifically by:
determining a target weight table corresponding to the user identification of the user according to the predetermined incidence relation between the user identification and the weight table, wherein the target weight table comprises different weight values corresponding to different physiological parameters;
and determining a weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
It can be seen that, by implementing the apparatus for implementing body abnormality early warning based on the intelligent medicine chest described in fig. 4, the determination of the weight value of each physiological parameter of the user can also be implemented by acquiring the weight table corresponding to the physiological parameter of the user; and the association relationship between the user identification and the weight table is established in advance, so that the determination efficiency of the weight table corresponding to the physiological parameters of the user is improved.
In yet another optional embodiment, as shown in fig. 4, the apparatus for implementing a physical abnormality warning based on a smart medicine box may further include a second determining module 307, a first judging module 308, and a sending module 309, where:
a second determining module 307, configured to determine, when the second detecting module 303 detects that the body of the user is abnormal, a target abnormality level corresponding to the body of the user according to all the physiological parameters in the physiological parameter set.
The first determining module 308 is configured to determine whether the target abnormality level is greater than or equal to a predetermined abnormality level threshold.
The sending module 309 is configured to send a rescue prompt to at least one rescue platform that is in wireless connection with the intelligent medicine box in advance when the first determining module determines that the target abnormal level is greater than or equal to the abnormal level threshold, where the rescue prompt at least includes identification information used for indicating a geographic location where the user is located.
It can be seen that, by implementing the apparatus for realizing body abnormality early warning based on the intelligent medicine chest described in fig. 4, after it is detected that the body of the user is abnormal, the abnormality level corresponding to the body of the user can be further determined, and a rescue prompt is sent to the medical platform when the abnormality level is higher, so that the medical platform can go to the location of the user in time, the user can be rescued, and the influence of the body abnormality on the body of the user can be reduced.
In yet another alternative embodiment, as shown in fig. 4, the first determining module 308 is further configured to determine whether the user is a user with inconvenient actions when the target abnormality level is determined to be greater than or equal to the abnormality level threshold.
The second determining module 307 is further configured to determine at least one terminal device that establishes a wireless connection with the intelligent medicine box in advance when the first determining module 308 determines that the user is a user with inconvenient actions.
The sending module 309 is further configured to send an exception prompt to all terminal devices, where the exception prompt includes a target exception level corresponding to the body of the user, and the exception prompt is used to prompt a holder of the terminal device that the body of the user has an exception condition.
It can be seen that, by implementing the apparatus for implementing body abnormality early warning based on the intelligent medicine box described in fig. 4, when it is determined that the abnormality level of the body of the user is high, the apparatus can automatically send an abnormality prompt to the terminal device which is in wireless connection with the intelligent medicine box in advance, so that the holder of the terminal device can know that the body of the user is abnormal, and the user is reminded to pay attention to the body and/or go to the location of the user in time to rescue the user.
In yet another alternative embodiment, as shown in fig. 4, the apparatus for implementing a physical abnormality warning based on a smart medicine box may further include a second determining module 310, a third determining module 311, a generating module 312, and a control module 313, where:
the second judging module 310 is configured to judge whether the user is in a preset area range corresponding to the intelligent medicine box after the first detecting module 301 detects the physiological parameter detection request triggered by the user and before the starting module 302 starts the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request, where the preset area range is an area range set based on the intelligent medicine box.
The third determining module 311 is configured to determine the user geographic location of the user when the second determining module 310 determines that the user is not within the preset area range.
A generating module 312, configured to generate a moving track according to the current geographical position of the intelligent medicine box and the geographical position of the user.
And a control module 313 configured to control the moving device of the intelligent medicine boxes to start up so that the intelligent medicine boxes move toward the user based on the moving trajectory.
The first detecting module 301 is further configured to detect whether the intelligent medicine box moves to a preset area range.
The starting module 302 is specifically configured to:
when the first detection module 301 detects that the intelligent medicine box moves to the preset area range, the physiological parameter detection function of the intelligent medicine box is started according to the physiological parameter detection request.
In this alternative embodiment, after the control module 313 executes the operation of controlling the aforementioned moving apparatus for controlling the smart medicine boxes to move the smart medicine boxes in the direction of the user based on the movement trajectory, the first detection module 301 may be triggered to execute the operation of detecting whether or not the smart medicine boxes have moved to the preset area range.
It can be seen that, the apparatus for implementing the body abnormality early warning based on the intelligent medicine box described in fig. 4 can further determine whether the user is in the preset area range of the intelligent medicine box after detecting the physiological parameter detection request triggered by the user, and if not, automatically move in the direction of the user, so that the possibility that the user successfully detects the physiological parameter of the user in the preset area range can be improved; and the detection of the physiological parameters can be realized by users who are inconvenient to move, so that the experience of the users is improved.
Example four
Referring to fig. 5, fig. 5 is a schematic diagram illustrating another apparatus for implementing body abnormality warning based on an intelligent medicine box according to an embodiment of the present invention. As shown in fig. 5, the apparatus for implementing body abnormality warning based on a smart medicine box may include:
a memory 501 in which executable program code is stored;
a processor 502 coupled to a memory 501;
the processor 502 calls the executable program code stored in the memory 501 for executing the steps in the method for realizing the body abnormality warning based on the intelligent medicine box described in the first embodiment or the second embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the method for realizing the body abnormity early warning based on the intelligent medicine chest described in the first embodiment or the second embodiment.
EXAMPLE six
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps of the method for realizing the body abnormity early warning based on the intelligent medicine box described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above technical solutions may essentially or in part contribute to the prior art, be embodied in the form of a software product, which may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.
Finally, it should be noted that: the method and the device for realizing the body abnormity early warning based on the intelligent medicine chest disclosed by the embodiment of the invention are only the preferred embodiment of the invention, are only used for explaining the technical scheme of the invention, and are not limited to the technical scheme; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (21)

1. The utility model provides a device based on unusual early warning of intelligence medical kit realization health which characterized in that, the device is applied to in the intelligence medical kit, the device includes:
the first detection module is used for detecting a physiological parameter detection request triggered by a user;
the starting module is used for starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request;
the first detection module is further configured to detect a physiological parameter of the user according to the physiological parameter detection function to obtain a physiological parameter set;
the second detection module is used for detecting whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set;
the output module is used for outputting body abnormity reminding when the detection module detects that the body of the user is abnormal, and the body abnormity reminding is used for reminding the user that the body of the user is abnormal;
the first detection module detects the physiological parameters of the user according to the physiological parameter detection function, and the mode of obtaining the physiological parameter set specifically includes:
acquiring face image data of the user by an image acquisition device based on the intelligent medicine box, inputting the face image data into a pre-established physiological parameter detection model for analysis to obtain an analysis result output by the physiological parameter detection model, and determining the analysis result as a physiological parameter of the user to obtain a physiological parameter set;
the device is also used for determining the age group of the user according to the age of the user, screening physiological parameter detection models matched with the age group from all physiological parameter detection models established in advance, and triggering and executing the operation of inputting the facial image data into the physiological parameter detection models established in advance for analysis to obtain the analysis result output by the physiological parameter detection models;
the physiological parameter detection model is established in the following way:
the device is further used for acquiring M parts of sample face image data, respectively performing frame extraction operation on each part of sample face image data to obtain P sequence pictures corresponding to the sample face image data, and performing region-of-interest operation on each sequence picture in the P sequence pictures based on a predetermined face recognition algorithm to obtain a face region-of-interest of each sequence picture, wherein acquisition objects corresponding to the M parts of sample face image data comprise healthy users, users with mild diseases and users with severe diseases; performing RGB channel separation operation on the face interesting region of each sequence picture, and performing independent component analysis processing on the face interesting region subjected to the channel separation operation to obtain sample physiological parameters of the sample face image data; and training each sample face image data and a sample physiological parameter corresponding to the sample face image data based on a predetermined neural network model to obtain a physiological parameter detection model.
2. The apparatus for realizing body abnormality early warning based on the intelligent medicine box according to claim 1, wherein the first detecting module detects the physiological parameter of the user according to the physiological parameter detecting function, and a specific manner of obtaining the physiological parameter set further includes:
outputting a detection prompt to the user, wherein the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring physiological parameters of different types;
after the body detection part is placed on the placement area by the user to be sensed, the physiological parameters of the user are measured based on the sensors of different types, and a physiological parameter set is obtained.
3. The apparatus for implementing early warning of body abnormality based on intelligent medicine chest according to claim 1 or 2, further comprising:
a first determination module for determining all historical diseases suffered by the user;
the screening module is used for screening all target historical diseases with the disease severity arranged in a plurality of previous names from all the historical diseases;
and the second detection module comprises a screening submodule, a judging submodule and a determining submodule, wherein:
the screening submodule is used for screening target physiological parameters corresponding to each target historical disease from all the physiological parameters in the physiological parameter set, and the numerical value of the target physiological parameter corresponding to each target historical disease is a reference index of the severity of the disease condition corresponding to the target historical disease;
the judgment submodule is used for judging whether the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter;
the determining submodule is used for determining that the body of the user is abnormal when the judging submodule judges that the value of the target physiological parameter corresponding to at least one target historical disease is not in the preset value range of the target physiological parameter.
4. The apparatus for realizing early warning of body abnormity based on intelligent medicine boxes according to claim 3, wherein the second detection module further comprises a calculation submodule and an accumulation submodule, wherein:
the determining submodule is further configured to determine a weight value corresponding to each physiological parameter in the physiological parameter set when the judging submodule judges that the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter;
the calculating submodule is used for calculating the product of each physiological parameter and the weight value corresponding to the physiological parameter;
the accumulation submodule is used for accumulating all the products to obtain the health value of the user;
the judgment submodule is also used for judging whether the health value is less than or equal to a preset health value threshold value;
the determining submodule is further configured to determine that the body of the user is abnormal when the judging submodule judges that the health value is smaller than or equal to the preset health value threshold.
5. The apparatus for implementing body abnormality warning based on the smart medicine box according to claim 4, wherein the determining submodule determines the weighting value corresponding to each physiological parameter in the physiological parameter set in a specific manner:
determining a target weight table corresponding to the user identification of the user according to the predetermined incidence relation between the user identification and the weight table, wherein the target weight table comprises different weight values corresponding to different physiological parameters;
determining a weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
6. The apparatus for implementing physical anomaly pre-warning based on intelligent medicine boxes according to claim 1, 2, 4 or 5, further comprising:
the second determining module is used for determining a target abnormality level corresponding to the body of the user according to all the physiological parameters in the physiological parameter set when the second detecting module detects that the body of the user is abnormal;
the first judgment module is used for judging whether the target abnormal level is greater than or equal to a predetermined abnormal level threshold value;
and the sending module is used for sending a rescue prompt to at least one rescue platform which is in wireless connection with the intelligent medicine box in advance when the first judging module judges that the target abnormal grade is greater than or equal to the abnormal grade threshold, wherein the rescue prompt at least comprises identification information used for representing the geographical position of the user.
7. The apparatus for implementing physical anomaly pre-warning based on intelligent medicine boxes according to claim 1, 2, 4 or 5, further comprising:
a second determining module, configured to determine whether the user is in a preset area range corresponding to the intelligent medicine box after the first detecting module detects a physiological parameter detection request triggered by the user and before the starting module starts a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request, where the preset area range is an area range set based on the intelligent medicine box;
a third determining module, configured to determine a user geographic location of the user when the second determining module determines that the user is not within the preset area range;
the generating module is used for generating a moving track according to the current geographical position of the intelligent medicine box and the geographical position of the user;
the control module is used for controlling the starting of the moving device of the intelligent medicine box so as to enable the intelligent medicine box to move towards the direction of the user based on the moving track;
the first detection module is further configured to detect whether the intelligent medicine box moves to the preset area range;
the starting module is specifically configured to:
and when the first detection module detects that the intelligent medicine box moves to the preset area range, starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
8. The utility model provides a device based on intelligent medical kit realizes unusual early warning of health which characterized in that, the device is applied to in the intelligent medical kit, the device includes:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to perform the following operations:
detecting a physiological parameter detection request triggered by a user, and starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request;
detecting physiological parameters of the user according to the physiological parameter detection function to obtain a physiological parameter set, and detecting whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set; when the body of the user is detected to be abnormal, the intelligent medicine box outputs a body abnormity prompt, and the body abnormity prompt is used for prompting the user that the body of the user is abnormal;
the processor detects the physiological parameters of the user according to the physiological parameter detection function, and the specific way of obtaining the physiological parameter set comprises the following steps:
acquiring face image data of the user by an image acquisition device based on the intelligent medicine box, inputting the face image data into a pre-established physiological parameter detection model for analysis to obtain an analysis result output by the physiological parameter detection model, and determining the analysis result as a physiological parameter of the user to obtain a physiological parameter set;
the processor calls the executable program code stored in the memory and further performs the following operations:
determining the age group of the user according to the age of the user, screening physiological parameter detection models matched with the age group from all physiological parameter detection models established in advance, and triggering and executing the operation of inputting the face image data into the physiological parameter detection models established in advance for analysis to obtain an analysis result output by the physiological parameter detection models;
the physiological parameter detection model is established in the following way:
the processor calls the executable program code stored in the memory and further performs the following operations:
acquiring M parts of sample face image data, respectively performing frame extraction operation on each part of sample face image data to obtain P sequence pictures corresponding to the sample face image data, and performing region-of-interest operation on each sequence picture in the P sequence pictures based on a predetermined face recognition algorithm to obtain a face region-of-interest of each sequence picture, wherein acquisition objects corresponding to the M parts of sample face image data comprise healthy users, users suffering from mild diseases and users suffering from severe diseases;
performing RGB channel separation operation on the face interested region of each sequence picture, and performing independent component analysis processing on the face interested region subjected to the channel separation operation to obtain sample physiological parameters of the sample face image data; and training each sample face image data and a sample physiological parameter corresponding to the sample face image data based on a predetermined neural network model to obtain a physiological parameter detection model.
9. The apparatus for realizing body abnormality warning based on the intelligent medicine box according to claim 8, wherein the processor detects the physiological parameters of the user according to the physiological parameter detection function, and the specific manner of obtaining the physiological parameter set further includes:
outputting a detection prompt to the user, wherein the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring physiological parameters of different types;
after the body detection part is placed on the placement area by the user, the physiological parameters of the user are measured based on the sensors of different types, and a physiological parameter set is obtained.
10. The apparatus for implementing physical anomaly pre-warning based on a smart medicine box according to claim 8 or 9, wherein the processor calls the executable program code stored in the memory and further performs the following operations:
determining all historical diseases suffered by the user, and screening all target historical diseases with the disease severity ranked in the first several names from all the historical diseases;
and the specific way for detecting whether the body of the user has the abnormality according to all the physiological parameters in the physiological parameter set by the processor comprises the following steps:
screening target physiological parameters corresponding to each target historical disease from all the physiological parameters in the physiological parameter set, wherein the numerical value of the target physiological parameter corresponding to each target historical disease is a reference index of the severity of the disease condition corresponding to the target historical disease;
judging whether the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter or not;
and when the value of the target physiological parameter corresponding to at least one target historical disease is judged not to be in the preset value range of the target physiological parameter, determining that the body of the user is abnormal.
11. The apparatus for implementing physical anomaly warning based on a smart medicine box according to claim 10, wherein the processor invokes the executable program code stored in the memory to further perform the following operations:
when the value of the target physiological parameter corresponding to each target historical disease is judged to be within the preset value range of the target physiological parameter, determining the weight value corresponding to each physiological parameter in the physiological parameter set, calculating the product of each physiological parameter and the weight value corresponding to the physiological parameter, and accumulating all the products to obtain the health value of the user;
and judging whether the health value is less than or equal to a preset health value threshold value, and determining that the body of the user is abnormal when the health value is less than or equal to the preset health value threshold value.
12. The apparatus for implementing physical anomaly warning based on an intelligent medicine box according to claim 11, wherein the specific manner for the processor to determine the weight value corresponding to each physiological parameter in the physiological parameter set includes:
determining a target weight table corresponding to the user identification of the user according to the predetermined incidence relation between the user identification and the weight table, wherein the target weight table comprises different weight values corresponding to different physiological parameters;
determining a weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
13. The apparatus for implementing physical anomaly warning based on a smart medicine box according to claim 8, 9, 11 or 12, wherein the processor invokes the executable program code stored in the memory to further perform the following operations:
when the body of the user is detected to be abnormal, determining a target abnormal level corresponding to the body of the user according to all the physiological parameters in the physiological parameter set;
and judging whether the target abnormal grade is greater than or equal to a predetermined abnormal grade threshold value, and sending a rescue prompt to at least one rescue platform which is in wireless connection with the intelligent medicine box in advance when the target abnormal grade is judged to be greater than or equal to the abnormal grade threshold value, wherein the rescue prompt at least comprises identification information for representing the geographical position of the user.
14. The apparatus for implementing physical anomaly early warning based on a smart medicine box according to claim 8, 9, 11 or 12, wherein after the processor detects a physiological parameter detection request triggered by a user and before the processor starts a physiological parameter detection function of the smart medicine box according to the physiological parameter detection request, the processor calls the executable program code stored in the memory, and further performs the following operations:
judging whether the user is in a preset area range corresponding to the intelligent medicine box, wherein the preset area range is an area range set based on the intelligent medicine box;
when the user is judged not to be in the preset area range, determining the user geographic position of the user, and generating a moving track according to the current geographic position of the intelligent medicine box and the user geographic position;
controlling a moving device of the intelligent medicine box to start so that the intelligent medicine box moves towards the direction of the user based on the moving track;
and when the intelligent medicine box is detected to move to the preset area range, triggering and executing the operation of starting the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
15. A computer storage medium having stored thereon computer instructions that, when invoked, perform the following:
detecting a physiological parameter detection request triggered by a user, and starting a physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request;
detecting physiological parameters of the user according to the physiological parameter detection function to obtain a physiological parameter set, and detecting whether the body of the user is abnormal or not according to all the physiological parameters in the physiological parameter set; when the body of the user is detected to be abnormal, the intelligent medicine box outputs a body abnormity prompt, and the body abnormity prompt is used for prompting the user that the body of the user is abnormal;
when the computer instruction is called, the specific way of executing the physiological parameter detection function to detect the physiological parameter of the user to obtain the physiological parameter set comprises the following steps:
acquiring face image data of the user by an image acquisition device based on the intelligent medicine box, inputting the face image data into a pre-established physiological parameter detection model for analysis to obtain an analysis result output by the physiological parameter detection model, and determining the analysis result as a physiological parameter of the user to obtain a physiological parameter set;
the computer instructions, when invoked, are for performing the following:
determining the age group of the user according to the age of the user, screening physiological parameter detection models matched with the age group from all physiological parameter detection models established in advance, and triggering and executing the operation of inputting the face image data into the physiological parameter detection models established in advance for analysis to obtain an analysis result output by the physiological parameter detection models;
the physiological parameter detection model is established in the following way:
the computer instructions, when invoked, are for performing the following: acquiring M parts of sample face image data, respectively performing frame extraction operation on each part of sample face image data to obtain P sequence pictures corresponding to the sample face image data, and performing region-of-interest operation on each sequence picture in the P sequence pictures based on a predetermined face recognition algorithm to obtain a face region-of-interest of each sequence picture, wherein acquisition objects corresponding to the M parts of sample face image data comprise healthy users, users suffering from mild diseases and users suffering from severe diseases; performing RGB channel separation operation on the face interesting region of each sequence picture, and performing independent component analysis processing on the face interesting region subjected to the channel separation operation to obtain sample physiological parameters of the sample face image data; and training each sample face image data and a sample physiological parameter corresponding to the sample face image data based on a predetermined neural network model to obtain a physiological parameter detection model.
16. The computer storage medium of claim 15, wherein the computer instructions, when invoked, perform the detecting the physiological parameter of the user according to the physiological parameter detecting function, and the obtaining the physiological parameter set further comprises:
outputting a detection prompt to the user, wherein the detection prompt comprises a predetermined body detection part for detecting physiological parameters and a predetermined placement area corresponding to the body detection part, the detection prompt is used for prompting the user to place the body detection part on the placement area for induction, the placement area is provided with sensors of different types, and the sensors of different types are used for measuring physiological parameters of different types;
after the body detection part is placed on the placement area by the user, the physiological parameters of the user are measured based on the sensors of different types, and a physiological parameter set is obtained.
17. The computer storage medium of claim 15 or 16, wherein the computer instructions, when invoked, are further configured to:
determining all historical diseases suffered by the user, and screening all target historical diseases with disease severity arranged in the first several names from all the historical diseases;
and when the computer instructions are invoked, the specific way of detecting whether there is an abnormality in the body of the user according to all the physiological parameters in the physiological parameter set includes:
screening target physiological parameters corresponding to each target historical disease from all the physiological parameters in the physiological parameter set, wherein the numerical value of the target physiological parameter corresponding to each target historical disease is a reference index of the severity of the disease condition corresponding to the target historical disease;
judging whether the value of the target physiological parameter corresponding to each target historical disease is within a preset value range of the target physiological parameter or not;
and when the value of the target physiological parameter corresponding to at least one target historical disease is judged not to be in the preset value range of the target physiological parameter, determining that the body of the user is abnormal.
18. The computer storage medium of claim 17, wherein the computer instructions, when invoked, are further operable to:
when the value of the target physiological parameter corresponding to each target historical disease is judged to be within the preset value range of the target physiological parameter, determining the weight value corresponding to each physiological parameter in the physiological parameter set, calculating the product of each physiological parameter and the weight value corresponding to the physiological parameter, and accumulating all the products to obtain the health value of the user;
and judging whether the health value is less than or equal to a preset health value threshold value, and determining that the body of the user is abnormal when the health value is less than or equal to the preset health value threshold value.
19. The computer storage medium of claim 18, wherein the computer instructions, when invoked, perform the specific manner of determining the weight value corresponding to each physiological parameter in the set of physiological parameters comprises:
determining a target weight table corresponding to the user identifier of the user according to a predetermined association relationship between the user identifier and the weight table, wherein the target weight table comprises different weight values corresponding to different physiological parameters;
determining a weight value corresponding to each physiological parameter in the physiological parameter set from the target weight table.
20. The computer storage medium of claim 15, 16, 18 or 19, wherein the computer instructions, when invoked, are further operable to:
when the body of the user is detected to be abnormal, determining a target abnormal level corresponding to the body of the user according to all the physiological parameters in the physiological parameter set;
and judging whether the target abnormal grade is greater than or equal to a predetermined abnormal grade threshold value, and sending a rescue prompt to at least one rescue platform which is in wireless connection with the intelligent medicine box in advance when the target abnormal grade is judged to be greater than or equal to the abnormal grade threshold value, wherein the rescue prompt at least comprises identification information for representing the geographical position of the user.
21. The computer storage medium according to claim 15, 16, 18 or 19, wherein said computer instructions, when invoked, are further configured to, after said detecting said user-triggered physiological parameter detection request is executed, and before said executing said initiating said physiological parameter detection function of said intelligent medication box in accordance with said physiological parameter detection request is invoked, said computer instructions, when invoked, further configured to:
judging whether the user is in a preset area range corresponding to the intelligent medicine box, wherein the preset area range is an area range set based on the intelligent medicine box;
when the user is judged not to be in the preset area range, determining the user geographic position of the user, and generating a moving track according to the current geographic position of the intelligent medicine box and the user geographic position;
controlling a moving device of the intelligent medicine box to start so that the intelligent medicine box moves towards the direction of the user based on the moving track;
and when the intelligent medicine box is detected to move to the preset area range, triggering and executing the operation of starting the physiological parameter detection function of the intelligent medicine box according to the physiological parameter detection request.
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