CN110490774B - Data acquisition emergency system based on APP - Google Patents

Data acquisition emergency system based on APP Download PDF

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CN110490774B
CN110490774B CN201910727285.1A CN201910727285A CN110490774B CN 110490774 B CN110490774 B CN 110490774B CN 201910727285 A CN201910727285 A CN 201910727285A CN 110490774 B CN110490774 B CN 110490774B
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刘红梅
马青峰
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Anmed Beijing Medical Technology Co ltd
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    • 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
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    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
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    • A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature

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Abstract

The invention provides an APP-based data acquisition emergency system, which comprises a detection terminal and a mobile terminal, wherein the detection terminal is connected with the mobile terminal through a network; the detection terminal comprises a first data monitoring device, a first data transceiver and a first display device, wherein the first data monitoring device is used for detecting vital sign data of a patient, and the first data transceiver is used for sending the vital sign data at any time; the mobile terminal comprises a communication module, the mobile terminal receives the vital sign data sent by the first data receiving and sending device through the communication module, and the mobile terminal displays the vital sign data based on the APP after receiving the vital sign data. The vital signs of the patient can be monitored in real time through the detection terminal, and vital characteristic data are generated. When emergency appears in a patient, the APP-based data acquisition emergency system can detect vital sign data of the patient before the emergency personnel of 120 come, so that the 120 emergency personnel can take corresponding emergency measures according to the vital sign data after reaching the patient.

Description

Data acquisition emergency system based on APP
Technical Field
The invention relates to the technical field of medical treatment and internet, in particular to an APP-based data acquisition emergency system.
Background
The unified telephone number for calling for help in China is '120'. Dialing 120 is the simplest and most convenient way to call for help from an emergency center. The emergency center is served for 24 hours, and if critical illness occurs outside a hospital, a user can take 120 to find the emergency center to take an ambulance at any time.
When a patient is in an emergency and dials 120, the 120 ambulance can arrive at the patient in time and preliminarily judge the symptoms of the patient, but in the process, the 120 ambulance personnel cannot know vital sign data (including temperature, pulse, blood pressure and the like) of the patient in time, cannot preliminarily treat the patient according to the conditions, needs to temporarily detect the vital sign data of the body of the patient, and delays the treatment time.
Disclosure of Invention
The invention provides an APP-based data acquisition emergency system, which can detect vital sign data of a patient before an emergency worker 120 comes, so that the emergency worker 120 can take corresponding emergency measures according to the vital sign data after arriving at the patient.
A data acquisition emergency system based on APP comprises a detection terminal and a mobile terminal;
the detection terminal comprises a first data monitoring device, a first data transceiver and a first display device, wherein the first data monitoring device is used for detecting vital sign data of a patient, and the first data transceiver is used for sending the vital sign data at any time;
the mobile terminal comprises a communication module, the mobile terminal receives the vital sign data sent by the first data receiving and sending device through the communication module, and the mobile terminal displays the vital sign data based on the APP after receiving the vital sign data.
Further, in the above-mentioned case,
the first data transceiver and the communication module are short-range communication modules respectively, and the short-range communication modules comprise any one or more of a Bluetooth communication module, an infrared communication module, a local area network communication module and a WIFI communication module;
after the mobile terminal is connected with the first data transceiver through the communication module, the first data transceiver actively transmits the vital sign data to the mobile terminal.
Further, in the above-mentioned case,
the first data transceiver and the communication module are respectively remote communication modules, and the remote communication modules comprise any one or more of a 5G communication module, a 4G communication module, a 3G communication module and a 2G communication module;
the detection terminal and the mobile terminal are respectively connected with a cloud server, the detection terminal sends the vital sign data to the cloud server through the first data receiving and sending device, and the mobile terminal receives the vital sign data at the cloud server through the first data receiving and sending device.
Further, in the above-mentioned case,
the detection terminal comprises an identity recognition system, and the identity recognition system is used for recognizing the identity information of the detection terminal and binding the identity information with the vital sign data;
the mobile terminal inquires and approves the specific identity information based on the APP, and the approved specific identity information can call the vital sign data corresponding to the specific identity information in the server.
Further, in the above-mentioned case,
the first data monitoring device comprises wearable equipment, and the wearable equipment comprises a shell, and a pulse detection module, a heart rate detection module, a temperature detection module and a blood pressure detection module which are arranged on the shell;
the vital sign data includes any one or more of pulse data, heart rate data, temperature data, and blood pressure data.
Further, in the above-mentioned case,
the wearing equipment comprises an arm wearing part and a neck wearing part, the arm wearing part comprises a first cloth body, and the neck wearing part comprises a second cloth body;
the pulse detection module, the heart rate detection module and the blood pressure detection module are respectively arranged on the inner sides of the first cloth body and the second cloth body;
the first data receiving and transmitting device is arranged inside the first cloth body and the second cloth body, and the first display device is arranged on the surface of the first cloth body or the surface of the second cloth body;
the temperature detection module comprises a detection control circuit, and the detection control circuit is used for detecting the temperature of the human body and outputting the detection voltage of the analog quantity.
Further, in the above-mentioned case,
the detection control circuit comprises a temperature compensation circuit, a reference circuit and a subtraction circuit, wherein the temperature compensation circuit comprises a first temperature compensation resistor R1, a second temperature compensation resistor R2 and a third temperature compensation resistor R3 which are arranged in series, and the node of the first temperature compensation resistor R1 and the node of the second temperature compensation resistor R2 are connected with the first diode in series and grounded;
the node of the second temperature compensation resistor R2 and the node of the third temperature compensation resistor R3 are connected with the forward input ends of the fourth temperature compensation resistor R4 and the second operational amplifier U2, the reverse input end of the second operational amplifier U2 is connected with the output end of the second operational amplifier U2 through the fifth temperature compensation resistor R5, the output end of the second operational amplifier U2 is connected with the node of the fifth temperature compensation electronic R5 and the anode of the second thyristor D2, the cathode of the second thyristor D2 is connected with the eleventh temperature compensation resistor R11, the second node of the cathode of the second thyristor D2, which is connected with the eleventh temperature compensation resistor R11, is grounded in series with the first capacitor C1, the cathode of the second thyristor D2 is connected with the first node of the eleventh temperature compensation resistor R11, is grounded in series with the second capacitor C2, and the cathode of the second thyristor D2 is connected with the third temperature compensation resistor R11, and the third capacitor C3;
the reference circuit comprises a sixth temperature compensation resistor R6, a seventh temperature compensation resistor R7 and an eighth temperature compensation resistor R8, wherein the sixth temperature compensation resistor R6, the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8 are connected in series and grounded, the sixth temperature compensation resistor R6 is connected with a power supply, and the nodes of the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8 are connected with the cathode of the second thyristor D2 and the eleventh temperature compensation resistor R11;
the subtraction circuit comprises a first operational amplifier U1, a ninth temperature compensation resistor R9, a tenth temperature compensation resistor R10, an eleventh temperature compensation resistor R11 and a twelfth temperature compensation resistor R12, wherein the positive input end of the first operational amplifier U1 is connected with a temperature sensor through the ninth temperature compensation resistor R9, the positive input end and the output end of the first operational amplifier U1 are connected through the tenth temperature compensation resistor R10, the reverse input end of the first operational amplifier U1 is connected with the eleventh temperature compensation resistor R11, and the node of the first operational amplifier U1 and the eleventh temperature compensation resistor R11 is connected with the twelfth temperature compensation resistor R12 in series and grounded;
the output end of the first operational amplifier U1 is connected with a processor, the processor is connected with a display device, and the processor converts the analog quantity current output by the first operational amplifier U1 into a digital quantity current signal and displays the digital quantity current signal through the display device.
Further, in the above-mentioned case,
the user side data monitoring subsystem carries out intelligent recommendation of emergency measures according to the received vital sign data, and the intelligent recommendation comprises the following steps:
step S1, constructing an intelligent recommendation data set, wherein the resource configuration data set is a four-metadata data set:
N＝(V,J,S,T)
n is a constructed four-metadata set, V is a real-time vital sign data set, J is an emergency measure data set, S is a measure feature data set, T is a time information data set, the data sets V, J, S, T are all matrixes, V is a matrix of N1 rows and Q1 columns, N1 rows indicate that N1 vital sign data are obtained, the vital sign data are arranged according to a time reverse sequence, the vital sign data received last time is the first vital sign data of the matrix V, the vital sign data received last N1 times at the current time point is the N1 th vital sign data, and Q1 columns measure each vital sign data from Q1 indexes;
the matrix J comprises N2 rows and Q1 columns, the N2 rows represent that N2 emergency measures are contained, the Q2 column represents that Q1 life characteristic measuring indexes corresponding to each emergency measure are contained, and the Q1 life characteristic measuring indexes are the same as the Q1 life characteristic measuring indexes in the implementation life characteristic data set;
the matrix S is preset values of N2 rows and Q1 columns, and the value of the preset values is between-1 and 1;
the matrix T is a preset value of N2 columns in 1 row, and the value is a reverse Fibonacci number sequence;
step S2, carrying out non-dimensionalization processing on all data in the matrix V and the matrix J by using the formula (1);
Figure BDA0002159355670000051
Figure BDA0002159355670000052
wherein, V1i,jIs the value of the ith row and j column of the matrix V1, i.e. is the value of the matrix Vi,jDimensionless processed value, Vi,jThe j index value of the ith data of the real-time vital sign data set, namely the j column value of the ith row of the matrix V, min () is the minimum value in brackets, Vi1,jThe j index value of the i1 th data of the real-time vital sign data set is i1 rows and j columns of the matrix VValue of J1i2,jIs the value of the i2 th row J column of the matrix J1, i.e., is the value of the matrix Ji2,jDimensionless processed value, Ji2,jThe J index value of the i2 th emergency measure in the emergency measure data set is the J value in the J column of the i2 row of the matrix Ji3,jThe J index value of the i3 th emergency measure of the emergency measure data set is the value of the J column in the i3 row of the matrix J, i is 1,2,3 … … N1, and J is 1,2,3 … … Q1; 1,2,3 … … N1 for i1, 1,2,3 … … N2 for i3, 1,2,3 … … N2 for i 2;
step S3, calculating a cure score between the vital sign data set and the emergency measure data set by using the formula (2):
Figure BDA0002159355670000061
wherein, Fi,jFor a cure score between the ith vital sign indicator value in the vital sign dataset and the jth data in the emergency measure dataset, V1i,t1The value of t1 index of the ith data of the real-time vital signs data set without quantization, J1j,t1The value of t1 index of j data of the emergency measure data set without quantizationj,t1The value in column t1 in row j of the measure feature data set, i1, 2,3 … … N1, j1, 2,3 … … N2, t 11, 2,3 … … Q1;
step S4, determining the emergency measures intelligently recommended by the emergency measures according to the received vital sign data by using a formula (3);
Figure BDA0002159355670000062
wherein, FN1,N2For the rescue score, T, between the N1 th vital sign index value in the vital sign dataset and the N2 th data in the emergency measure datasetN1For the Nth 1 value of the time information data set, (T)1,T2,T3…TN1) For the time information data set, rt is the final intelligent recommendation vector, ifThe z-th value in the vector rt is the maximum, and the emergency measure corresponding to the z-th data in the emergency measure data set is the intelligently recommended emergency measure.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of an APP-based data acquisition emergency system;
fig. 2 is a schematic diagram of data transmission in which the first data transceiver and the communication module are short-range communication modules, respectively;
fig. 3 is a schematic diagram of data transmission of the first data transceiver and the communication module, which are remote communication modules, respectively;
fig. 4 is a wearing schematic view of an arm wearing part and a neck wearing part;
fig. 5 is a schematic structural diagram of the detection control circuit.
Reference numerals:
1. a neck-wearing portion; 2. an arm-worn portion; 01. a temperature compensation circuit; 02. a reference circuit; 03. a subtraction circuit.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides an APP-based data acquisition emergency system, which is shown in a schematic structural diagram in FIG. 1 and comprises a detection terminal and a mobile terminal;
the detection terminal comprises a first data monitoring device, a first data transceiver and a first display device, wherein the first data monitoring device is used for detecting vital sign data of a patient, and the first data transceiver is used for sending the vital sign data at any time;
the mobile terminal comprises a communication module, the mobile terminal receives the vital sign data sent by the first data receiving and sending device through the communication module, and the mobile terminal displays the vital sign data based on the APP after receiving the vital sign data.
The effect and principle of the technical scheme are as follows:
can monitor patient's vital sign in real time through detection terminal, generate vital sign data, when the emergency appears in the patient, can monitor patient and generate vital sign data through user side data monitoring subsystem, mobile terminal shows based on APP after receiving the vital sign data. This kind of data acquisition emergency system based on APP can carry out the detection of vital sign data to the patient before 120's first-aid staff comes for 120 first-aid staff just can take corresponding first-aid measure according to the vital sign data after reaching patient department.
In an embodiment, as shown in the schematic structural diagram of fig. 2, the first data transceiver and the communication module are short-range communication modules respectively, and the short-range communication module includes any one or more of a bluetooth communication module, an infrared communication module, a local area network communication module, and a WIFI communication module;
after the mobile terminal is connected with the first data transceiver through the communication module, the first data transceiver actively transmits the vital sign data to the mobile terminal.
The effect and principle of the technical scheme are as follows:
because the first data transceiver and the communication module are short-range communication modules respectively, on-site medical personnel, patients or family members and the like can watch the vital sign data based on the mobile terminal and carry out corresponding rescue measures according to the vital sign data.
In an embodiment, as shown in the schematic structural diagram of fig. 3, the first data transceiver and the communication module are respectively a remote communication module, and the remote communication module includes any one or more of a 5G communication module, a 4G communication module, a 3G communication module, and a 2G communication module;
the detection terminal and the mobile terminal are respectively connected with a cloud server, the detection terminal sends the vital sign data to the cloud server through the first data receiving and sending device, and the mobile terminal receives the vital sign data at the cloud server through the first data receiving and sending device.
The effect and principle of the technical scheme are as follows:
because first data transceiver and communication module are remote communication module respectively for even the remote also can obtain vital sign data of detection terminal and mobile terminal distance, and medical personnel can carry out remote instruction to the patient according to detection terminal's data, make the patient obtain effectual rescue.
In one embodiment, the detection terminal comprises an identity recognition system, wherein the identity recognition system is used for recognizing identity information of the detection terminal and binding the identity information with the vital sign data;
the mobile terminal inquires and approves the specific identity information based on the APP, and the approved specific identity information can call the vital sign data corresponding to the specific identity information in the server.
The effect and principle of the technical scheme are as follows:
can go out the identity that detects the person through identification system and carry out identification, also can carry out the identity affirmation to the user of mobile terminal department based on APP, mobile terminal can transfer the specific identity information after the affirmation and acquire corresponding vital sign data, reaches and keeps, secret purpose and effect to everybody vital sign data.
In one embodiment, the first data monitoring device comprises a wearable device, wherein the wearable device comprises a shell and a pulse detection module, a heart rate detection module, a temperature detection module and a blood pressure detection module which are arranged on the shell;
the vital sign data includes any one or more of pulse data, heart rate data, temperature data, and blood pressure data.
The effect and principle of the technical scheme are as follows:
wherein the casing can be cloth, plastics to have certain elasticity, make things convenient for the patient to dress for wearing equipment, pulse detection module, rhythm of the heart detection module, temperature detection module and blood pressure detection module can laminate with the human body respectively after dressing, can carry out effectual vital sign data monitoring.
In one embodiment, as shown in fig. 4, the wearing apparatus includes an arm wearing portion including a first fabric body and a neck wearing portion including a second fabric body;
the pulse detection module, the heart rate detection module and the blood pressure detection module are respectively arranged on the inner sides of the first cloth body and the second cloth body;
the first data receiving and transmitting device is arranged inside the first cloth body and the second cloth body, and the first display device is arranged on the surface of the first cloth body or the surface of the second cloth body;
the temperature detection module comprises a detection control circuit, and the detection control circuit is used for detecting the temperature of the human body and outputting the detection voltage of the analog quantity.
The effect and principle of the technical scheme are as follows:
because the patient can also dress the neck wearing part through the neck if the arm is inconvenient to dress the arm wearing part of wearing equipment at the proruption disease in-process, on the contrary can also dress the arm wearing part through the arm if the neck is inconvenient to dress the neck wearing part of wearing equipment.
In one embodiment, as shown in the schematic structural diagram of fig. 5, the detection control circuit includes a temperature compensation circuit, a reference circuit, and a subtraction circuit, the temperature compensation circuit includes a first temperature compensation resistor R1, a second temperature compensation resistor R2, and a third temperature compensation resistor R3, which are connected in series, wherein a node of the first temperature compensation resistor R1 and the second temperature compensation resistor R2 is connected in series with the first diode and grounded;
the node of the second temperature compensation resistor R2 and the node of the third temperature compensation resistor R3 are connected with the forward input ends of the fourth temperature compensation resistor R4 and the second operational amplifier U2, the reverse input end of the second operational amplifier U2 is connected with the output end of the second operational amplifier U2 through the fifth temperature compensation resistor R5, the output end of the second operational amplifier U2 is connected with the node of the fifth temperature compensation electronic R5 and the anode of the second thyristor D2, the cathode of the second thyristor D2 is connected with the eleventh temperature compensation resistor R11, the second node of the cathode of the second thyristor D2, which is connected with the eleventh temperature compensation resistor R11, is grounded in series with the first capacitor C1, the cathode of the second thyristor D2 is connected with the first node of the eleventh temperature compensation resistor R11, is grounded in series with the second capacitor C2, and the cathode of the second thyristor D2 is connected with the third temperature compensation resistor R11, and the third capacitor C3;
the reference circuit comprises a sixth temperature compensation resistor R6, a seventh temperature compensation resistor R7 and an eighth temperature compensation resistor R8, wherein the sixth temperature compensation resistor R6, the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8 are connected in series and grounded, the sixth temperature compensation resistor R6 is connected with a power supply, and the nodes of the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8 are connected with the cathode of the second thyristor D2 and the eleventh temperature compensation resistor R11;
the subtraction circuit comprises a first operational amplifier U1, a ninth temperature compensation resistor R9, a tenth temperature compensation resistor R10, an eleventh temperature compensation resistor R11 and a twelfth temperature compensation resistor R12, wherein the positive input end of the first operational amplifier U1 is connected with a temperature sensor through the ninth temperature compensation resistor R9, the positive input end and the output end of the first operational amplifier U1 are connected through the tenth temperature compensation resistor R10, the reverse input end of the first operational amplifier U1 is connected with the eleventh temperature compensation resistor R11, and the node of the first operational amplifier U1 and the eleventh temperature compensation resistor R11 is connected with the twelfth temperature compensation resistor R12 in series and grounded;
the output end of the first operational amplifier U1 is connected with a processor, the processor is connected with a display device, and the processor converts the analog quantity current output by the first operational amplifier U1 into a digital quantity current signal and displays the digital quantity current signal through the display device.
The temperature compensation circuit outputs a compensation voltage according to the temperature, and when the temperature is higher, the detection voltage output by the pressure sensor S is increased, and at the same time, the temperature compensation circuit also outputs a higher compensation voltage, so that the difference error between the detection voltage and the fusion reference voltage is minimized when the comparison is performed at the first operation method amplifier U1. The purpose of reducing errors is achieved through the mode. The temperature drift of the first diode D1 in the temperature compensation circuit is a linear curve, and the resistance of the resistor can be adjusted to several thousand ohms or even several tens of kiloohms, but the first diode D1 is connected in series with the power supply to ground, so that the second operational amplifier U2 amplifies the temperature drift of the first diode D1 while the temperature changes, the temperature drift is amplified by the first capacitor C1, the second capacitor C2 and the third capacitor C3, and a stable voltage is output to the reverse input end of the first operational amplifier U1. The purpose of providing reference voltage is achieved by voltage division through the sixth temperature compensation resistor R6, the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8, the reference voltage and the temperature compensation voltage are combined at the node of the seventh temperature compensation resistor R7 and the node of the eighth temperature compensation resistor R8 to form a fusion reference voltage, and the purpose and the effect that the error when the detection voltage and the fusion reference voltage are conducted by the first operation method amplifier U1 are reduced are achieved. The detection voltage value output by the temperature sensor and the fusion reference voltage are subtracted by the subtraction circuit respectively, so that the human body temperature measured by the temperature detection module is more accurate, the temperature compensation device is arranged outside the wearable device, the outdoor temperature and the human body temperature can be compensated by the detection control circuit, and the human body temperature measured by the detection control circuit is more accurate.
In one embodiment, the user-side data monitoring subsystem performs intelligent recommendation of emergency measures according to the received vital sign data, and the intelligent recommendation includes the following steps:
step S1, constructing an intelligent recommendation data set, wherein the resource configuration data set is a four-metadata data set:
N＝(V,J,S,T)
n is a constructed four-metadata set, V is a real-time vital sign data set, J is an emergency measure data set, S is a measure feature data set, T is a time information data set, the data sets V, J, S, T are all matrixes, V is a matrix of N1 rows and Q1 columns, N1 rows indicate that N1 vital sign data are obtained, the vital sign data are arranged according to a time reverse sequence, the vital sign data received last time is the first vital sign data of the matrix V, the vital sign data received last N1 times at the current time point is the N1 th vital sign data, and Q1 columns measure each vital sign data from Q1 indexes;
wherein, the N1 indexes include pulse, heart rate, temperature, blood pressure, etc.;
the matrix J comprises N2 rows and Q1 columns, the N2 rows represent that N2 emergency measures are contained, the Q2 column represents that Q1 life characteristic measuring indexes corresponding to each emergency measure are contained, and the Q1 life characteristic measuring indexes are the same as the Q1 life characteristic measuring indexes in the implementation life characteristic data set;
wherein, the N2 emergency measures may have repeated emergency measures, that is, for example, the 3 rd, 5 th and 6 th emergency measures may all be cardiopulmonary resuscitation, but the three cardiopulmonary resuscitation may have different values of the corresponding vital sign measures, that is, the three cardiopulmonary resuscitation may have different values
The pulse rate of the 3 rd patient is 47, the heart rate is 82, the temperature is 36.2, the systolic blood pressure is 80, the diastolic blood pressure is 67,
the 5 th pulse is 77, heart rate is 52, temperature is 37, systolic blood pressure is 88, diastolic blood pressure is 60,
the pulse at bar 6 is 77, heart rate 82, temperature 37, systolic blood pressure 63, diastolic blood pressure 59.
The matrix S is preset values of N2 rows and Q1 columns, and the value of the preset values is between-1 and 1;
for example, if the predetermined relationship between the emergency measure and the index is set, for example, if the 2 nd emergency measure can lower the value of the first characteristic index, the value is negative, and if the value is decreased more, the value is close to-1, for example, -0.95, then the value in row 2 and column 1 of the matrix S is-095, and if the 2 nd emergency measure can raise the second index, the value is positive, but the effect is less, then the value may be 0.3, that is, the value in row 2 and column 2 of the matrix S is 0.3.
The matrix T is a preset value of N2 columns in 1 row, and the value is a reverse Fibonacci number sequence;
the fizean number is a number sequence formed by 1,1,2,3,5,8 … …, i.e. the latter value is the sum of the first two values, while the inverted fizean number is a sequence ordering the fizean number upside down, the last value is 1;
step S2, carrying out non-dimensionalization processing on all data in the matrix V and the matrix J by using the formula (1);
Figure BDA0002159355670000131
Figure BDA0002159355670000132
wherein, V1i,jIs the value of the ith row and j column of the matrix V1, i.e. is the value of the matrix Vi,jDimensionless processed value, Vi,jThe j index value of the ith data of the real-time vital sign data set, namely the j column value of the ith row of the matrix V, min () is the minimum value in brackets, Vi1,jThe J index value of the i1 th data of the real-time vital sign data set is the J1 value of the i1 rows and J columns of the matrix Vi2,jIs the value of the i2 th row J column of the matrix J1, i.e., is the value of the matrix Ji2,jDimensionless processed value, Ji2,jThe J index value of the i2 th emergency measure in the emergency measure data set is the J value in the J column of the i2 row of the matrix Ji3,jThe J index value of the i3 th emergency measure of the emergency measure data set is the value of the J column in the i3 row of the matrix J, i is 1,2,3 … … N1, and J is 1,2,3 … … Q1; 1,2,3 … … N1 for i1, 1,2,3 … … N2 for i3, 1,2,3 … … N2 for i 2;
by using the formula (1), the numerical value is prevented from having great difference due to different units of various indexes, so that the subsequent calculation, the data with larger overall numerical value of the indexes, the numerical value changes a little, and the generated influence is much larger than the influence of the numerical value with smaller overall numerical value of the indexes.
Step S3, calculating a cure score between the vital sign data set and the emergency measure data set by using the formula (2):
Figure BDA0002159355670000141
wherein, Fi,jFor a cure score between the ith vital sign indicator value in the vital sign dataset and the jth data in the emergency measure dataset, V1i,t1The value of t1 index of the ith data of the real-time vital signs data set without quantization, J1j,t1The value of t1 index of j data of the emergency measure data set without quantizationj,t1The value in column t1 in row j of the measure feature data set, i1, 2,3 … … N1, j1, 2,3 … … N2, t 11, 2,3 … … Q1;
by using the formula (2), the treatment score of any data in the real-time life data set and any emergency measure in the emergency measures can be obtained, and the measure characteristic data set is also considered when the score is considered, so that the relation between the emergency measures and the index can be considered when the score is considered, and the score can be combined according to the effect of the emergency measures.
Step S4, determining the emergency measures intelligently recommended by the emergency measures according to the received vital sign data by using a formula (3);
Figure BDA0002159355670000151
wherein, FN1,N2For the rescue score, T, between the N1 th vital sign index value in the vital sign dataset and the N2 th data in the emergency measure datasetN1For the Nth 1 value of the time information data set, (T)1,T2,T3…TN1) And (3) for the time information data set, rt is a final intelligent recommended vector, and if the z-th value in the vector rt is the maximum, the emergency measure corresponding to the z-th data in the emergency measure data set is an intelligent recommended emergency measure.
For example, the value of the matrix rt is (0.11,0.25,0.33,0.14,0.17) and the emergency measure corresponding to the third piece of data in the data set in the emergency measure is the final emergency measure.
By using the formula (3), the recommended value of each type of emergency measure corresponding to the vital signs can be obtained according to the treatment score of any data in the real-time vital data set and any emergency measure in the emergency measures and under the condition of considering the time information data set, the emergency measure corresponding to the maximum value in the recommended values is the final emergency measure, not only the real-time vital signs are considered, but also the historical characteristics are considered, and different weights are given according to different time for obtaining the vital signs, so that the timeliness is good.
Has the advantages that:
(1) by utilizing the technology, intelligent recommendation of emergency measures can be realized.
(2) In the recommendation process, not only real-time vital sign data, but also historical vital sign indexes, measure feature data and time information data are considered, so that the recommendation has timeliness, comprehensiveness and professionality aiming at emergency measures.
(3) In the process, the data non-dimensionalization can be used for avoiding that numerical values have great difference due to different units of various indexes, so that the recommendation result is inaccurate.
(4) By using the formula (2), the treatment score of any data in the real-time life data set and any emergency measure in the emergency measures can be obtained, and the measure characteristic data set is also considered when the score is considered, so that the relation between the emergency measures and the index can be considered when the score is considered, and the score can be combined according to the effect of the emergency measures.
(5) By using the formula (2), the treatment score of any data in the real-time life data set and any emergency measure in the emergency measures can be obtained, and the measure characteristic data set is also considered when the score is considered, so that the relation between the emergency measures and the index can be considered when the score is considered, and the score can be combined according to the effect of the emergency measures.
(6) The whole process can be finished by the processor, and the workload during resource configuration recommendation can be greatly reduced.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (5)

1. A data acquisition emergency system based on APP is characterized by comprising a detection terminal and a mobile terminal;
the detection terminal comprises a first data monitoring device, a first data transceiver and a first display device, wherein the first data monitoring device is used for detecting vital sign data of a patient, and the first data transceiver is used for sending the vital sign data at any time;
the mobile terminal comprises a communication module, receives the vital sign data sent by the first data receiving and sending device through the communication module, and displays the vital sign data based on the APP after receiving the vital sign data;
the first data monitoring device comprises wearable equipment, and the wearable equipment comprises a shell, and a pulse detection module, a heart rate detection module, a temperature detection module and a blood pressure detection module which are arranged on the shell;
the vital sign data comprises any one or more of pulse data, heart rate data, temperature data and blood pressure data;
the wearing equipment comprises an arm wearing part and a neck wearing part, the arm wearing part comprises a first cloth body, and the neck wearing part comprises a second cloth body;
the pulse detection module, the heart rate detection module and the blood pressure detection module are respectively arranged on the inner sides of the first cloth body and the second cloth body;
the first data receiving and transmitting device is arranged inside the first cloth body and the second cloth body, and the first display device is arranged on the surface of the first cloth body or the surface of the second cloth body;
the temperature detection module comprises a detection control circuit, and the detection control circuit is used for detecting the temperature of a human body and outputting detection voltage of analog quantity;
the user side data monitoring subsystem carries out intelligent recommendation of emergency measures according to the received vital sign data, and the intelligent recommendation comprises the following steps:
step S1, constructing an intelligent recommendation data set, wherein the resource configuration data set is a four-metadata data set:
N＝(V,J,S,T)
n is a constructed four-metadata set, V is a real-time vital sign data set, J is an emergency measure data set, S is a measure feature data set, T is a time information data set, the data sets V, J, S, T are all matrixes, V is a matrix of N1 rows and Q1 columns, N1 rows indicate that N1 vital sign data are obtained, the vital sign data are arranged according to a time reverse sequence, the vital sign data received last time is the first vital sign data of the matrix V, the vital sign data received last N1 times at the current time point is the N1 th vital sign data, and Q1 columns measure each vital sign data from Q1 indexes;
the matrix J comprises N2 rows and Q1 columns, the N2 rows represent that N2 emergency measures are contained, the Q2 column represents that Q1 life characteristic measuring indexes corresponding to each emergency measure are contained, and the Q1 life characteristic measuring indexes are the same as the Q1 life characteristic measuring indexes in the implementation life characteristic data set;
the matrix S is preset values of N2 rows and Q1 columns, and the value of the preset values is between-1 and 1;
the matrix T is a preset value of N2 columns in 1 row, and the value is a reverse Fibonacci number sequence;
step S2, carrying out non-dimensionalization processing on all data in the matrix V and the matrix J by using the formula (1);
Figure FDA0003456012010000021
Figure FDA0003456012010000022
wherein, V1i,jIs the value of the ith row and j column of the matrix V1, i.e. is the value of the matrix Vi,jDimensionless processed value, Vi,jThe j index value of the ith data of the real-time vital sign data set, namely the j column value of the ith row of the matrix V, min () is the minimum value in brackets, Vi1,jThe J index value of the i1 th data of the real-time vital sign data set is the J1 value of the i1 rows and J columns of the matrix Vi2,jIs the value of the i2 th row J column of the matrix J1, i.e., is the value of the matrix Ji2,jDimensionless processed value, Ji2,jThe J index value of the i2 th emergency measure in the emergency measure data set is the J value in the J column of the i2 row of the matrix Ji3,jThe J index value of the i3 th emergency measure of the emergency measure data set is the value of the J column in the i3 row of the matrix J, i is 1,2,3 … … N1, and J is 1,2,3 … … Q1; 1,2,3 … … N1 for i1, 1,2,3 … … N2 for i3, 1,2,3 … … N2 for i 2;
step S3, calculating a cure score between the vital sign data set and the emergency measure data set by using the formula (2):
Figure FDA0003456012010000031
wherein, Fi,jFor a cure score between the ith vital sign indicator value in the vital sign dataset and the jth data in the emergency measure dataset, V1i,t1The value of t1 index of the ith data of the real-time vital signs data set without quantization, J1j,t1The value of t1 index of j data of the emergency measure data set without quantizationj,t1The value in column t1 in row j of the measure feature data set, i1, 2,3 … … N1, j1, 2,3 … … N2, t 11, 2,3 … … Q1;
step S4, determining the emergency measures intelligently recommended by the emergency measures according to the received vital sign data by using a formula (3);
Figure FDA0003456012010000032
wherein, FN1,N2For the rescue score, T, between the N1 th vital sign index value in the vital sign dataset and the N2 th data in the emergency measure datasetN1For the Nth 1 value of the time information data set, (T)1,T2,T3…TN1) And (3) for the time information data set, rt is a final intelligent recommended vector, and if the z-th value in the vector rt is the maximum, the emergency measure corresponding to the z-th data in the emergency measure data set is an intelligent recommended emergency measure.
2. The data collection emergency system of claim 1,
the first data transceiver and the communication module are short-range communication modules respectively, and the short-range communication modules comprise any one or more of a Bluetooth communication module, an infrared communication module, a local area network communication module and a WIFI communication module;
after the mobile terminal is connected with the first data transceiver through the communication module, the first data transceiver actively transmits the vital sign data to the mobile terminal.
3. The data collection emergency system of claim 1,
the first data transceiver and the communication module are respectively remote communication modules, and the remote communication modules comprise any one or more of a 5G communication module, a 4G communication module, a 3G communication module and a 2G communication module;
the detection terminal and the mobile terminal are respectively connected with a cloud server, the detection terminal sends the vital sign data to the cloud server through the first data receiving and sending device, and the mobile terminal receives the vital sign data at the cloud server through the first data receiving and sending device.
4. The data collection emergency system of claim 3,
the detection terminal comprises an identity recognition system, and the identity recognition system is used for recognizing the identity information of the detection terminal and binding the identity information with the vital sign data;
the mobile terminal inquires and approves the specific identity information based on the APP, and the approved specific identity information can call the vital sign data corresponding to the specific identity information in the server.
5. The data collection emergency system of claim 1,
the detection control circuit comprises a temperature compensation circuit, a reference circuit and a subtraction circuit, wherein the temperature compensation circuit comprises a first temperature compensation resistor R1, a second temperature compensation resistor R2 and a third temperature compensation resistor R3 which are arranged in series, and the node of the first temperature compensation resistor R1 and the node of the second temperature compensation resistor R2 are connected with the first diode in series and grounded;
the node of the second temperature compensation resistor R2 and the node of the third temperature compensation resistor R3 are connected with the forward input ends of the fourth temperature compensation resistor R4 and the second operational amplifier U2, the reverse input end of the second operational amplifier U2 is connected with the output end of the second operational amplifier U2 through the fifth temperature compensation resistor R5, the output end of the second operational amplifier U2 is connected with the node of the fifth temperature compensation electronic R5 and the anode of the second thyristor D2, the cathode of the second thyristor D2 is connected with the eleventh temperature compensation resistor R11, the second node of the cathode of the second thyristor D2, which is connected with the eleventh temperature compensation resistor R11, is grounded in series with the first capacitor C1, the cathode of the second thyristor D2 is connected with the first node of the eleventh temperature compensation resistor R11, is grounded in series with the second capacitor C2, and the cathode of the second thyristor D2 is connected with the third temperature compensation resistor R11, and the third capacitor C3;
the reference circuit comprises a sixth temperature compensation resistor R6, a seventh temperature compensation resistor R7 and an eighth temperature compensation resistor R8, wherein the sixth temperature compensation resistor R6, the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8 are connected in series and grounded, the sixth temperature compensation resistor R6 is connected with a power supply, and the nodes of the seventh temperature compensation resistor R7 and the eighth temperature compensation resistor R8 are connected with the cathode of the second thyristor D2 and the eleventh temperature compensation resistor R11;
the subtraction circuit comprises a first operational amplifier U1, a ninth temperature compensation resistor R9, a tenth temperature compensation resistor R10, an eleventh temperature compensation resistor R11 and a twelfth temperature compensation resistor R12, wherein the positive input end of the first operational amplifier U1 is connected with a temperature sensor through the ninth temperature compensation resistor R9, the positive input end and the output end of the first operational amplifier U1 are connected through the tenth temperature compensation resistor R10, the reverse input end of the first operational amplifier U1 is connected with the eleventh temperature compensation resistor R11, and the node of the first operational amplifier U1 and the eleventh temperature compensation resistor R11 is connected with the twelfth temperature compensation resistor R12 in series and grounded;
the output end of the first operational amplifier U1 is connected with a processor, the processor is connected with a display device, and the processor converts the analog quantity current output by the first operational amplifier U1 into a digital quantity current signal and displays the digital quantity current signal through the display device.
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