CN116389647A - Emergency first-aid integrated platform - Google Patents

Emergency first-aid integrated platform Download PDF

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CN116389647A
CN116389647A CN202310650204.9A CN202310650204A CN116389647A CN 116389647 A CN116389647 A CN 116389647A CN 202310650204 A CN202310650204 A CN 202310650204A CN 116389647 A CN116389647 A CN 116389647A
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CN116389647B (en
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赖德桓
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Shenzhen Shangzhe Medical Health Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M11/00—Telephonic communication systems specially adapted for combination with other electrical systems
    • H04M11/02—Telephonic communication systems specially adapted for combination with other electrical systems with bell or annunciator systems
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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
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    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
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    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063—Training
    • G—PHYSICS
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M11/00—Telephonic communication systems specially adapted for combination with other electrical systems
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    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
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Abstract

The invention relates to an emergency treatment and first aid integrated platform, which is used for judging the state of a monitored object by collecting medical record data and vital sign data of the monitored object and extracting the value of a target characteristic factor corresponding to a disease in the medical record data from the vital sign data and judging whether the monitored object is in an abnormal state or not by utilizing the current environmental sound data of the monitored object and the value of the target characteristic factor of the current time. If the monitoring object is in an abnormal state, the condition that the monitoring object is possibly in need of rescue is indicated, and at the moment, call information is automatically sent out and sent to a guardian for confirmation. After confirmation, the contact mode of the proper emergency center is automatically determined, and emergency call is carried out by combining the position information of the monitored object. According to the method and the device, the health state of the monitoring object is detected in real time by automatically detecting the vital signs of the monitoring object, and timely finding and calling are conducted when problems occur, so that the monitoring object can be ensured to accept rescue at the first time.

Description

Emergency first-aid integrated platform
Technical Field
The invention relates to the technical field of computers, in particular to an emergency treatment and first-aid integrated platform.
Background
First aid, meaning emergency treatment, means that when any accident or disease occurs, a rescuer temporarily and properly carries out primary rescue and nursing on wounded persons by using field applicable materials according to the principle of medical nursing before the arrival of medical staff, and then sends the wounded persons to a hospital from speed.
Because patients requiring emergency may lose self-rescue and calling ability, the emergency center may be called only after the patient is ill or unexpected for a period of time, if the relevant personnel find that the patient needs emergency. The above procedure is likely to delay the optimal emergency time for the patient.
Disclosure of Invention
Therefore, the invention aims to provide an emergency treatment and first-aid integrated platform so as to solve the problem that patients cannot be found in time and need first aid in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the emergency treatment first-aid integrated platform of the invention comprises:
the data acquisition module is used for acquiring medical record data of the monitored object, position information of the monitored object, environmental sound data of the monitored object and vital sign data of the monitored object, wherein the vital sign data comprises values of various characteristic factors;
the matching module is used for matching the medical record data with the vital sign data to obtain a value of a target characteristic factor;
the analysis module is used for determining the current state of the monitoring object based on the value of the target characteristic factor and the environmental sound data, wherein the current state is a normal state or an abnormal state;
the first calling module is used for sending calling information based on a preset contact way when the monitoring object is in an abnormal state;
and a second calling module for determining a contact address of a target emergency center when external emergency call confirmation information is received, and executing an emergency call based on the contact address of the target emergency center and the position information of the monitoring object, wherein the emergency call confirmation information is generated based on the calling information.
In an embodiment of the present application, matching the medical record data with the vital sign data to obtain a value of a target feature factor includes:
extracting the disease name of the monitoring object from the medical record data;
acquiring symptom data corresponding to a disease name of the monitored subject;
and comparing the symptom data with the vital sign data to obtain a value of a target characteristic factor corresponding to the symptom data.
In an embodiment of the present application, the number of target feature factors is one or more, where determining the current state of the monitored object based on the value of the target feature factor and the environmental sound data includes:
identifying the environmental sound data to obtain an identification result;
comparing the value of each target characteristic factor with a corresponding preset value range to obtain a comparison result, wherein when the value of the target characteristic factor falls into the corresponding preset value range, the value of the comparison result is one; when the value of the target characteristic factor does not fall into a corresponding preset value range, the value of the comparison result is zero;
when the number of the target characteristic factors is multiple, weighting and summing the values of the multiple comparison results to obtain a target characteristic value; when the number of the target characteristic factors is one, taking the value of the comparison result as a target characteristic value;
when the identification result contains target characteristics and the target characteristic value is larger than a preset characteristic threshold value, judging that the monitoring object is in an abnormal state; otherwise, judging that the monitoring object is in a normal state.
In an embodiment of the present application, the identifying the environmental sound data to obtain an identification result includes:
and inputting the environmental sound data into a pre-established voice recognition model to obtain a recognition result, wherein the voice recognition model is trained by taking sound generated by a patient during disease occurrence as training data.
In an embodiment of the present application, when the number of target feature factors is a plurality of, the mathematical expression of the target feature value is:
Figure SMS_1
，
wherein ,
Figure SMS_2
for the target feature value, ++>
Figure SMS_3
Is->
Figure SMS_4
The value of the comparison result of the individual target feature factors, < >>
Figure SMS_5
Is->
Figure SMS_6
Weights of individual target feature factors, +.>
Figure SMS_7
，/>
Figure SMS_8
Is a positive integer.
In an embodiment of the present application, the method further includes determining weights of the target feature factors in the following manner:
acquiring a plurality of sample data of the disease in the medical record data when the disease is ill, wherein the sample data comprises values of target characteristic factors of the disease in the medical record data when the disease is ill;
taking a target characteristic factor, the value of which falls into a corresponding value range, in each sample data as a target parameter;
counting the occurrence times of each target parameter in the plurality of sample data;
calculating the weight of the corresponding target feature factor based on the occurrence number of each target parameter
Figure SMS_9
The mathematical expression of (2) is:
Figure SMS_10
，
wherein ,
Figure SMS_11
is->
Figure SMS_12
Number of occurrences of the individual target parameter, +.>
Figure SMS_13
Is a positive integer.
In an embodiment of the present application, further includes:
and the information prompt module is used for outputting temporary first-aid information corresponding to the medical record data and vital sign data of the current time when the monitored object is in an abnormal state.
In an embodiment of the present application, further includes:
the video uploading module is used for acquiring video data of the monitoring object when receiving external first-aid call confirmation information and sending the video data to the cloud platform;
the video sending module is used for sending the video data of the cloud platform to a corresponding receiving object when receiving a video request from the emergency center.
In an embodiment of the present application, the second calling module is further configured to determine a contact way of a target emergency center when a time when the monitored object is in an abnormal state exceeds a preset time threshold, and execute an emergency call based on the contact way of the target emergency center and the location information of the monitored object.
In an embodiment of the present application, determining a contact address of a target emergency center includes:
and inquiring a data table based on the medical record data to obtain the contact mode of the emergency center corresponding to the plurality of diseases, wherein the data table comprises the contact modes of the emergency center corresponding to the plurality of diseases.
The beneficial effects of the invention are as follows: according to the emergency treatment integrated platform, medical record data and vital sign data of a monitored object are collected through the data collection module, then the value of a target characteristic factor corresponding to a disease in the medical record data is extracted from the vital sign data, and the state of the monitored object is judged by utilizing the current environmental sound data and the value of the target characteristic factor of the current time of the monitored object so as to determine whether the monitored object is in an abnormal state or not. If the monitoring object is in an abnormal state, the condition that the monitoring object is needed to be rescued is indicated to be very likely, and at the moment, the first calling module automatically sends calling information and sends the information to the guardian for confirmation. After confirmation, the second calling module automatically determines the contact mode of the proper emergency center and combines the position information of the monitored object to carry out emergency calling. According to the method and the device, the health state of the monitoring object is detected in real time by automatically detecting the vital signs of the monitoring object, and timely finding and calling are conducted when problems occur, so that the monitoring object can be ensured to accept rescue at the first time.
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The invention is further described below with reference to the accompanying drawings and examples:
FIG. 1 is a schematic view of an emergency integrated platform according to an embodiment of the present invention;
FIG. 2 is a block diagram of an emergency integrated platform according to an embodiment of the present invention;
fig. 3 is a flow chart of an emergency treatment method according to an embodiment of the invention.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the layers related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the layers in actual implementation, and the form, number and proportion of the layers in actual implementation may be arbitrarily changed, and the layer layout may be more complex.
In the following description, numerous details are discussed to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details.
The emergency treatment and first-aid integrated platform is applied to the field of computer management, and an execution object can be a computer, a mobile terminal or a server.
Fig. 1 is an application scenario diagram of an emergency treatment and first aid integrated platform in the present application, as shown in fig. 1, the present platform includes a data acquisition module, a matching module, an analysis module, a first call module and a second call module.
The data acquisition module provides a data interface for accessing medical record data of the monitoring object, position information of the monitoring object, environmental sound data of the monitoring object and vital sign data of the monitoring object. The medical record data of the monitoring object can be imported from a database of a related hospital, or can be manually input, and the position information of the monitoring object, the environmental sound data of the monitoring object and the vital sign data of the acquired monitoring object can be read from a wearable device of the monitoring object.
The data acquisition module can be intelligent equipment such as a mobile phone, a tablet computer and the like. The data acquisition module sends the data to the matching module, the analysis module, the first calling module and the second calling module. The matching module and the analysis module can be local computers or server equipment. The first calling module and the second calling module can be communication equipment such as a mobile phone, a tablet and the like.
Fig. 2 is a structure of an emergency treatment integrated platform according to an embodiment of the present application, as shown in fig. 2: the emergency treatment first-aid integrated platform of this embodiment includes:
the data acquisition module 210 is configured to acquire medical record data of a monitored object, position information of the monitored object, environmental sound data of the monitored object, and vital sign data of the monitored object, where the vital sign data includes values of various feature factors;
a matching module 220, configured to match the medical record data with the vital sign data to obtain a value of a target feature factor;
some of these episodes are usually accompanied by changes in some vital sign data at the time of onset. Various attacks such as acute infection, malignant tumor, hematopathy, connective tissue disease, etc. are accompanied by body temperature rise. At the time of a heart attack, sinus tachycardia, supraventricular tachycardia, atrial flutter, etc. may occur. Some heart diseases are also accompanied by sinus bradycardia, sick sinus syndrome, etc., pulse irregularities are seen in atrial fibrillation, various extra-systoles, atrioventricular block, etc.
Thus, if the subject has a corresponding medical history, the current state of the subject can be determined by periodically monitoring the value of its corresponding vital sign data, i.e., the target feature factor.
In an embodiment of the present application, matching the medical record data with the vital sign data to obtain a value of a target feature factor includes:
extracting the disease name of the monitoring object from the medical record data;
acquiring symptom data corresponding to a disease name of the monitored subject;
and comparing the symptom data with the vital sign data to obtain a value of a target characteristic factor corresponding to the symptom data.
In this application, the disease name of the monitoring subject is first determined. The symptoms corresponding to the disease at the time of onset, such as elevated blood pressure, accelerated heartbeat, are then obtained by consulting the physician or querying a database. Finally, the useful target characteristic factors in the monitored object are extracted, for example, the symptoms are blood pressure rise and heart beat acceleration, and then the values of the blood pressure and the heart beat are correspondingly extracted.
An analysis module 230, configured to determine a current state of the monitored object based on the value of the target feature factor and the environmental sound data, where the current state is a normal state or an abnormal state;
in this embodiment, in order to avoid erroneous judgment, environmental sounds are also incorporated to increase judgment accuracy. Generally, patients produce regular sounds during their episodes. Such as sounds made by shortness of breath, groans in pain, etc. The accuracy of judging the current state of the monitored object can be improved by combining vital sign and environmental sound data.
In an embodiment of the present application, the number of target feature factors is one or more, where determining the current state of the monitored object based on the value of the target feature factor and the environmental sound data includes:
identifying the environmental sound data to obtain an identification result; in this embodiment, a pre-established speech recognition model is used to recognize the environmental sound data. During recognition, the environmental sound data are input into a pre-established voice recognition model to obtain a recognition result, wherein the voice recognition model is trained by taking sounds generated by patients during disease occurrence as training data, and the training data can be rapid breathing sounds, painful moan sounds and the like.
Comparing the value of each target characteristic factor with a corresponding preset value range to obtain a comparison result, wherein when the value of the target characteristic factor falls into the corresponding preset value range, the value of the comparison result is one; when the value of the target characteristic factor does not fall into a corresponding preset value range, the value of the comparison result is zero;
the preset value range is a range which is defined in advance and accords with the unhealthy state of the corresponding target characteristic factors. The value range may be formulated by counting historical morbidity data.
When the number of the target characteristic factors is multiple, weighting and summing the values of the multiple comparison results to obtain a target characteristic value; when the number of the target characteristic factors is one, taking the value of the comparison result as a target characteristic value;
in an embodiment of the present application, when the number of target feature factors is a plurality of, the mathematical expression of the target feature value is:
Figure SMS_14
，
wherein ,
Figure SMS_15
for the target feature value, ++>
Figure SMS_16
Is->
Figure SMS_17
The value of the comparison result of the individual target feature factors, < >>
Figure SMS_18
Is->
Figure SMS_19
Weights of individual target feature factors, +.>
Figure SMS_20
，/>
Figure SMS_21
Is a positive integer. The mathematical expression is used for carrying out normalization processing on the target characteristic value so as to judge the state corresponding to the target characteristic value.
In an embodiment of the present application, the method further includes determining weights of the target feature factors in the following manner:
acquiring a plurality of sample data of the disease in the medical record data when the disease is ill, wherein the sample data comprises values of target characteristic factors of the disease in the medical record data when the disease is ill;
taking a target characteristic factor, the value of which falls into a corresponding value range, in each sample data as a target parameter;
counting the occurrence times of each target parameter in the plurality of sample data;
calculating the weight of the corresponding target feature factor based on the occurrence number of each target parameter
Figure SMS_22
The mathematical expression of (2) is:
Figure SMS_23
，
wherein ,
Figure SMS_24
is->
Figure SMS_25
Number of occurrences of the individual target parameter, +.>
Figure SMS_26
Is a positive integer.
In this embodiment, the weights of the various target feature factors are determined through a statistical manner, and the weights are the occurrence probabilities of the corresponding target features. That is, the greater the probability of occurrence of the target feature, the more likely it can be stated that the target feature factor is present with the onset of the disease. Therefore, by weighting various target feature factors, the state of the monitored object is determined more accurately through vital signs.
When the identification result contains target characteristics and the target characteristic value is larger than a preset characteristic threshold value, judging that the monitoring object is in an abnormal state; otherwise, judging that the monitoring object is in a normal state.
In this embodiment, the target characteristic factors are different for different individuals at the onset of the disease. For example, heart rate may rise or fall during heart attacks, accompanied by irregular pulses, rise in blood pressure, and the like. But the symptoms are different from individual episode, even at different times. Thus, the most dominant symptom (target feature factor) is determined by means of the assigned weight. For example, regardless of whom the heart rate is always accompanied by an increase or decrease in heart rate, the target feature factor of heart rate is weighted higher than the other target feature factors. And finally, normalizing the target characteristic value in a weighted summation mode. And comparing the voice recognition result with a preset characteristic threshold value, and judging by combining the voice recognition result. The judgment accuracy in the application is greatly improved. Specifically, the feature threshold may take 0.8.
A first calling module 240, configured to send calling information based on a preset contact manner when the monitored object is in an abnormal state;
the first calling module is used for calling a guardian of the monitored object, and the guardian can be a family, a relative, a friend and the like of the monitored object. By storing the telephone number of the guardian in the platform in advance, when the platform automatically judges that the monitored object is in an abnormal state, the information needs to be fed back to the guardian. The guardian is allowed to further confirm the status of the monitored object. The guardian's confirmation may be a live confirmation or may be a confirmation by calling a camera at the corresponding location.
A second call module 250 for determining a contact address of a target emergency center upon receiving external emergency call confirmation information, and performing an emergency call based on the contact address of the target emergency center and the location information of the monitoring object, wherein the emergency call confirmation information is generated based on the call information.
After the confirmation is finished, the guardian submits the first-aid call confirmation information on the platform through intelligent equipment such as a mobile phone or a tablet. To speed up the validation process, a validation key may be automatically generated on the platform interface. After the guardian confirms, the platform automatically dials the telephone number of the pre-stored emergency center and submits the position information. The emergency call can be completed.
In this application, in order to avoid delaying the rescue time of the patient due to the occurrence of a call error, a data table is pre-established to query the emergency center managed by the subject, which specifically includes:
and inquiring a data table based on the medical record data to obtain the contact mode of the emergency center corresponding to the plurality of diseases, wherein the data table comprises the contact modes of the emergency center corresponding to the plurality of diseases.
In an embodiment of the present application, further includes:
and the information prompt module is used for outputting temporary first-aid information corresponding to the medical record data and vital sign data of the current time when the monitored object is in an abnormal state.
In this application, some early rescue may be performed if the guardian is present. For example, to a patient for hypotensor, for cardiopulmonary resuscitation, etc. However, the guardian may not have the rescue knowledge, so when the platform determines that the monitored object is in an abnormal state, the platform sends the call information to the guardian and also sends temporary first-aid information corresponding to the medical record data and vital sign data of the current time to the guardian. So that the guardian can take some rescue measures before the doctor arrives. The temporary emergency information can be obtained by querying a database or can be extracted doctor advice.
In an embodiment of the present application, further includes:
the video uploading module is used for acquiring video data of the monitoring object when receiving external first-aid call confirmation information and sending the video data to the cloud platform;
the video sending module is used for sending the video data of the cloud platform to a corresponding receiving object when receiving a video request from the emergency center.
The platform is not only oriented to patients, but also oriented to doctors, and before emergency ambulances arrive, the platform calls photographing equipment such as a home camera, a mobile phone camera and the like to photograph pictures of the patients and uploads the pictures to the cradle head platform to wait for calling. If a doctor needs, the corresponding patient picture can be called before the emergency ambulance catches up, so that the preliminary illness state is known, and a plan is formulated for the subsequent emergency.
In an embodiment of the present application, the second calling module is further configured to determine a contact way of a target emergency center when a time when the monitored object is in an abnormal state exceeds a preset time threshold, and execute an emergency call based on the contact way of the target emergency center and the location information of the monitored object.
If the guardian is inattentive, the rescue time of the monitored object is delayed. Therefore, if the guardian does not confirm for a long time, but the monitored object is in an abnormal state continuously for a long time, the subsequent emergency call process can be directly carried out, and the rescuing time of the monitored object is prevented from being delayed.
In addition, when the platform judges that the monitoring object is in an abnormal state, the platform is reminded through a ring. The guardian or the monitored subject himself may cancel manually if a false decision is found. Avoiding the occurrence of call errors.
According to the emergency treatment integrated platform, medical record data and vital sign data of a monitored object are collected through the data collection module, then the value of a target characteristic factor corresponding to a disease in the medical record data is extracted from the vital sign data, and the state of the monitored object is judged by using the current environmental sound data of the monitored object and the value of the target characteristic factor in the current time so as to determine whether the monitored object is in an abnormal state or not. If the monitoring object is in an abnormal state, the condition that the monitoring object is needed to be rescued is indicated to be very likely, and at the moment, the first calling module automatically sends calling information and sends the information to the guardian for confirmation. After confirmation, the second calling module automatically determines the contact mode of the proper emergency center and combines the position information of the monitored object to carry out emergency calling. According to the method and the device, the health state of the monitoring object is detected in real time by automatically detecting the vital signs of the monitoring object, and timely finding and calling are conducted when problems occur, so that the monitoring object can be ensured to accept rescue at the first time.
As shown in fig. 3, the present application further provides an emergency treatment method, including the steps of:
s310, acquiring medical record data of a monitored object, position information of the monitored object, environmental sound data of the monitored object and vital sign data for acquiring the monitored object at fixed time, wherein the vital sign data comprises values of various characteristic factors;
s320, matching the medical record data with the vital sign data to obtain a value of a target characteristic factor;
s330, determining the current state of the monitored object based on the value of the target characteristic factor and the environmental sound data, wherein the current state is a normal state or an abnormal state;
s340, when the monitoring object is in an abnormal state, sending call information based on a preset contact way;
s350, when external emergency call confirmation information is received, determining the contact mode of a target emergency center, and executing emergency call based on the contact mode of the target emergency center and the position information of the monitoring object, wherein the emergency call confirmation information is generated based on the call information.
According to the emergency treatment and first aid integrated method, medical record data and vital sign data of a monitored object are collected through the data collection module, then the value of a target characteristic factor corresponding to a disease in the medical record data is extracted from the vital sign data, and the state of the monitored object is judged by utilizing the current environmental sound data of the monitored object and the value of the target characteristic factor in the current time so as to determine whether the monitored object is in an abnormal state or not. If the monitoring object is in an abnormal state, the condition that the monitoring object is needed to be rescued is indicated to be very likely, and at the moment, the first calling module automatically sends calling information and sends the information to the guardian for confirmation. After confirmation, the second calling module automatically determines the contact mode of the proper emergency center and combines the position information of the monitored object to carry out emergency calling. According to the method and the device, the health state of the monitoring object is detected in real time by automatically detecting the vital signs of the monitoring object, and timely finding and calling are conducted when problems occur, so that the monitoring object can be ensured to accept rescue at the first time.
The present embodiment also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the methods of the present embodiments, wherein the method is the execution logic of the present system.
The embodiment also provides an electronic terminal, including: a processor and a memory;
the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the terminal executes any one of the methods in the embodiment.
The computer readable storage medium in this embodiment, as will be appreciated by those of ordinary skill in the art: all or part of the steps for implementing the method embodiments described above may be performed by computer program related hardware. The aforementioned computer program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface, where the memory and the communication interface are connected to the processor and the transceiver and complete communication with each other, the memory is used to store a computer program, the communication interface is used to perform communication, and the processor and the transceiver are used to run the computer program, so that the electronic terminal performs each step of the above method.
In this embodiment, the memory may include a random access memory (Random Access Memory, abbreviated as RAM), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In the above embodiments, while the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description. The embodiments of the invention are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.

Claims (10)

1. Emergency treatment first aid integration platform, its characterized in that includes:
the data acquisition module is used for acquiring medical record data of the monitored object, position information of the monitored object, environmental sound data of the monitored object and vital sign data of the monitored object, wherein the vital sign data comprises values of various characteristic factors;
the matching module is used for matching the medical record data with the vital sign data to obtain a value of a target characteristic factor;
the analysis module is used for determining the current state of the monitoring object based on the value of the target characteristic factor and the environmental sound data, wherein the current state is a normal state or an abnormal state;
the first calling module is used for sending calling information based on a preset contact way when the monitoring object is in an abnormal state;
and a second calling module for determining a contact address of a target emergency center when external emergency call confirmation information is received, and executing an emergency call based on the contact address of the target emergency center and the position information of the monitoring object, wherein the emergency call confirmation information is generated based on the calling information.
2. The emergency integrated platform of claim 1, wherein matching the medical record data with the vital sign data to obtain a value of a target feature factor comprises:
extracting the disease name of the monitoring object from the medical record data;
acquiring symptom data corresponding to a disease name of the monitored subject;
and comparing the symptom data with the vital sign data to obtain a value of a target characteristic factor corresponding to the symptom data.
3. The emergency integrated platform of claim 1, wherein the number of target feature factors is one or more, wherein determining the current state of the monitored subject based on the value of the target feature factors, the ambient sound data, comprises:
identifying the environmental sound data to obtain an identification result;
comparing the value of each target characteristic factor with a corresponding preset value range to obtain a comparison result, wherein when the value of the target characteristic factor falls into the corresponding preset value range, the value of the comparison result is one; when the value of the target characteristic factor does not fall into a corresponding preset value range, the value of the comparison result is zero;
when the number of the target characteristic factors is multiple, weighting and summing the values of the multiple comparison results to obtain a target characteristic value; when the number of the target characteristic factors is one, taking the value of the comparison result as a target characteristic value;
when the identification result contains target characteristics and the target characteristic value is larger than a preset characteristic threshold value, judging that the monitoring object is in an abnormal state; otherwise, judging that the monitoring object is in a normal state.
4. The emergency integrated platform of claim 3, wherein identifying the environmental sound data to obtain an identification result comprises:
and inputting the environmental sound data into a pre-established voice recognition model to obtain a recognition result, wherein the voice recognition model is trained by taking sound generated by a patient during disease occurrence as training data.
5. The emergency rescue integrated platform of claim 3, wherein when the number of target feature factors is a plurality, the mathematical expression of the target feature values is:
Figure QLYQS_1
，
wherein ,
Figure QLYQS_2
for the target feature value, ++>
Figure QLYQS_3
Is->
Figure QLYQS_4
The value of the comparison result of the individual target feature factors, < >>
Figure QLYQS_5
Is->
Figure QLYQS_6
Weights of individual target feature factors, +.>
Figure QLYQS_7
，/>
Figure QLYQS_8
Is a positive integer.
6. The emergency rescue integrated platform of claim 3, further comprising determining weights for each target feature factor by:
acquiring a plurality of sample data of the disease in the medical record data when the disease is ill, wherein the sample data comprises values of target characteristic factors of the disease in the medical record data when the disease is ill;
taking a target characteristic factor, the value of which falls into a corresponding value range, in each sample data as a target parameter;
counting the occurrence times of each target parameter in the plurality of sample data;
calculating the weight of the corresponding target feature factor based on the occurrence number of each target parameter
Figure QLYQS_9
The mathematical expression of (2) is:
Figure QLYQS_10
，
wherein ,
Figure QLYQS_11
is->
Figure QLYQS_12
Number of occurrences of the individual target parameter, +.>
Figure QLYQS_13
Is a positive integer.
7. The emergency integrated platform of claim 1, further comprising:
and the information prompt module is used for outputting temporary first-aid information corresponding to the medical record data and vital sign data of the current time when the monitored object is in an abnormal state.
8. The emergency integrated platform of claim 1, further comprising:
the video uploading module is used for acquiring video data of the monitoring object when receiving external first-aid call confirmation information and sending the video data to the cloud platform;
the video sending module is used for sending the video data of the cloud platform to a corresponding receiving object when receiving a video request from the emergency center.
9. The emergency rescue integrated platform of claim 1, wherein the second call module is further configured to determine a contact address of a target rescue center when a time that the monitored object is in an abnormal state exceeds a preset time threshold, and to perform a rescue call based on the contact address of the target rescue center and the location information of the monitored object.
10. The emergency rescue integrated platform of claim 1, wherein determining contact addresses for a target rescue center comprises:
and inquiring a data table based on the medical record data to obtain the contact mode of the emergency center corresponding to the plurality of diseases, wherein the data table comprises the contact modes of the emergency center corresponding to the plurality of diseases.
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