CN112716499A - System for preventing examination abnormality based on portable ECG analysis technology - Google Patents

System for preventing examination abnormality based on portable ECG analysis technology Download PDF

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CN112716499A
CN112716499A CN202110149159.XA CN202110149159A CN112716499A CN 112716499 A CN112716499 A CN 112716499A CN 202110149159 A CN202110149159 A CN 202110149159A CN 112716499 A CN112716499 A CN 112716499A
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module
analysis
examination
electrocardio
data
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吕华伟
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Henan Anything Technology Development Co ltd
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Henan Anything Technology Development Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7405Details of notification to user or communication with user or patient ; user input means using sound
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

Abstract

The invention relates to the field of monitoring for preventing examination abnormality exertion of students, in particular to portable monitoring equipment for preventing examination abnormality exertion based on ECG analysis, which comprises an electrocardiosignal acquisition component, an electrocardiosignal display and excitation component and a cloud background analysis and processing terminal, wherein the electrocardiosignal acquisition component is used for acquiring electrocardiosignals and transmitting signals, the electrocardiosignal display and excitation component is used for receiving the electrocardiosignals, preprocessing and analyzing the electrocardiosignals, and the cloud background analysis and processing terminal is used for carrying out algorithm processing analysis and storage on the electrocardiosignals; the invention has simple structure and convenient operation, realizes ECG signal monitoring and data feedback excitation regulation, leads the monitoring data to be more accurate and representative, and greatly improves the practicability and the high efficiency of the product.

Description

System for preventing examination abnormality based on portable ECG analysis technology
Technical Field
The invention relates to the technical field of student prevention examination monitoring, in particular to a system for preventing examination abnormality based on a portable ECG analysis technology.
Background
Many people can learn well at ordinary times, but the abnormal condition can be brought into play once a regular examination is completed, the examination score even does not reach the ordinary level, when the condition occurs in important examinations such as college entrance examination and the like, students can not be in ideal schools due to disorder and have a fear of life, in the lifetime of students, examinations are indispensable and are a reference and adjustment means for self-level detection and teacher teaching guidance, some students learn well at ordinary times, are afraid of abnormal examination, influence self-level measurement and teaching plans corresponding to teachers, and cannot realize targeted learning improvement of students, at present, no product or system for improving the examination performance level and preventing the examination performance loss exists in the market, and further, no technology and equipment related to an ECG signal monitoring and analyzing technology for guaranteeing the examination performance of the examinee and improving the examination performance level exist.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and solve the existing problems, and provides the examination abnormality prevention system based on the portable ECG analysis technology.
The aim of the invention is achieved by the following measures:
a system for preventing examination abnormality based on a portable ECG analysis technology comprises an electrocardiosignal acquisition component for acquiring electrocardiosignals and transmitting signals, an electrocardiosignal display and excitation component for receiving the electrocardiosignals, preprocessing and analyzing the electrocardiosignals, and a cloud background analysis processing terminal for carrying out algorithm processing analysis and storage on the electrocardiosignals;
the electrocardio acquisition component comprises an electrocardio acquisition patch, an ECG chip, a signal transmission module and flexible power supply equipment, wherein the electrocardio acquisition patch is used for contacting a human body and acquiring electrocardiosignals, the ECG chip is used for receiving the electrocardiosignals and carrying out identification processing, the signal transmission module is used for transmitting the electrocardiosignals, and the flexible power supply equipment is used for supplying power to the electrocardio acquisition component;
the electrocardio display and excitation assembly comprises a signal receiving device for receiving electrocardio signal data acquired by the electrocardio acquisition assembly, a preprocessing module for carrying out preliminary processing and analysis on electrocardio signals of the signal receiving device, an excitation device for intervening and guiding a user, a state analysis module for analyzing and recording the guidance and relief of the user based on the excitation device, a data transmission interaction module for uploading the preprocessed electrocardio data to a cloud background analysis and processing terminal and receiving feedback, and an image module for displaying the electrocardio signal data;
the cloud background analysis processing terminal comprises a signal processing module for receiving an initial analysis electrocardiosignal transmitted by an electrocardio display and excitation assembly, an algorithm module for performing core algorithm processing analysis on the received electrocardiosignal, a learning situation classification module for analyzing abnormality of a user by using a core algorithm, an excitation feedback module for performing data excitation and feedback on electrocardiosignal data and a storage module for performing background storage on the electrocardiosignal data, wherein the signal processing module performs signal transmission with the data transmission interaction module and receives the electrocardiosignal from the data transmission interaction module, and the excitation feedback module transmits algorithm result data to the data transmission interaction module and then transmits the algorithm result data to the state analysis module through the data transmission interaction module so as to indicate the excitation equipment to make corresponding adjustment; the electrocardiosignal analysis algorithm of the algorithm module comprises the following steps:
X(r)=
Figure 209404DEST_PATH_IMAGE001
;
Y(r)=
Figure 560750DEST_PATH_IMAGE002
r: the wave peak value of the electrocardiosignal;
t: sampling period;
n: the number of sampling points;
Figure DEST_PATH_IMAGE003
(r): the range of the emotion recognition system is 0-10, which is defined as the emotion fluctuation value of the user, wherein the larger the value is, the larger the emotion fluctuation is;
x (r) is
Figure 742595DEST_PATH_IMAGE003
(r) square; the range of the method is 0-100;
y (r): the range of the user emotion pressure value is 0-100, the value is defined as the emotion pressure value of the user, and the larger the value is, the larger the pressure is represented;
t: the time difference between the current time and the examination starting time is in seconds;
performing algorithm processing according to acquired data such as r, T, N and the like, so as to analyze the examination state of the user in the aspects of factors such as atmosphere, questions, pressure and the like based on X (r), Y (r) and T, and thus, adopting different ways of incentive means to perform incentive adjustment on the user and enabling the examinee to enter the optimal examination state;
when t is less than or equal to 120s and X (r) is greater than 60, the examination state of the student is defined to be in intense atmosphere through a core algorithm analysis learning situation classification module;
when t >120s, Y (r) >60 and X (r) <60, the examination state of the student is defined to be stress through the core algorithm analysis learning situation classification module;
when t is greater than 120s, Y (r) >60 and X (r) >60, the examination state of the student is defined to be the problem tension by the core algorithm analysis learning situation classification module;
and aiming at different examination states, students are guided to regulate their emotions through different voices or music, so that the examinees enter the optimal examination state.
Preferably, ECG chip and signal transmission module set up inside the paster is gathered to the electrocardio, so set up, the paster is gathered to the electrocardio uses comparatively conveniently, adopts the electrode mode of pasting, places during the use and adsorbs in the front of the chest, gathers electrocardio signal data more accurate, can wear for a long time moreover, can not produce and dress tired.
Further preferably, the signal transmission module is a bluetooth transmission protocol or a 5G network transmission protocol.
Preferably, flexible power supply unit is 0.35 mm's ultra-thin flexible lithium cell, so set up, and 0.35mm ultra-thin lithium cell can be crooked 10000 times repeatedly, and super narrow 6mm width, super little 3mAh capacity have prevent acupuncture, explosion-proof, waterproof, prevent burning, anti-vibration, advantage such as anticorrosion.
Preferably, the excitation device is a sound box or an earphone, and the excitation device is set to perform voice guidance and prompt adjustment so as to enable the examinee to enter the optimal examination state.
Preferably, the learning situation classification module comprises an atmosphere tension module, a topic tension module and a stress tension module.
Preferably, the state analysis module further comprises a primary voice reminding module corresponding to the atmosphere tension module, a secondary voice reminding module corresponding to the topic tension module and a tertiary voice reminding module corresponding to the stress tension module; the monitoring system judges which type of learning situation classification the examinee is in according to the electrocardiosignal data of the examinee, and then intervenes through different voice excitation modes to enable the examinee to enter the optimal examination state; when the electrocardiosignal acquisition and analysis data value of the examinee is in the atmosphere tension module, the excitation device triggers the primary voice reminding module, the background plays the relaxing music, and the soft sound repeatedly plays the following contents: "please close the eyes, breathe deeply, whatever the result you have tried out"; when the data obtained by the electrocardiosignals of the examinees through the core algorithm is in the stress module, the excitation equipment triggers the secondary voice reminding module, the background plays soothing music, and meanwhile, the soft sound repeatedly plays the following contents: if the system analyzes whether the examinee is more tense or in the examinee tension module according to the electrocardiosignals of the examinee after 2 minutes, the motivation equipment triggers the secondary voice reminding module to repeatedly play the following contents, namely, the examination can be performed first, the examination is performed later, then the examination is considered, and the oil is added; when the data obtained by the electrocardiosignal of the examinee through the core algorithm is in the stress module, the excitation device triggers the three-level voice reminding module, the background plays the soothing music, and the soft sound plays the following contents repeatedly: the examinee can be intelligently adjusted to enter the optimal examination state.
The invention has the beneficial effects that:
1. the invention has simple structure and convenient operation, the electrode paste of the device is attached to the chest when a user is in a calm state, a plurality of electrocardio collecting patches collect electrocardio data signals of the examinee and further record the electrocardio data signals on the ECG chip, then the ECG chip transmits the collected real-time electrocardio data of the user in the examination state to the electrocardio display and excitation assembly through the signal transmission module, the signal transmission module can adopt any one of a Bluetooth transmission protocol or 5G network transmission, wherein, the electrocardio collecting assembly is powered by adopting a 0.35mm ultra-thin lithium battery, the electrocardio collecting assembly can be repeatedly bent for 10000 times, the width of the ultra-thin battery is 6mm, the capacity of the ultra-thin battery is 3mAh, and the electrocardio collecting device has the advantages of acupuncture prevention, explosion prevention, water prevention, combustion prevention, vibration prevention, corrosion prevention and the like, the collection of the electrocardio signals is more accurate and effective, and the monitoring data, the examinee can quickly enter an examination state in real examination through a plurality of times of simulated training before examination, and can automatically generate psychological cues when encountering difficulty, thereby achieving the purposes of improving the examination state and preventing the examination from being abnormal;
2. the signal receiving equipment of the electrocardio display and excitation assembly collects and normalizes electrocardiogram signal data of examinees, wherein the signal receiving equipment can adopt a Bluetooth or network transmission protocol, corresponds to the signal transmission module, is convenient and fast to operate, transmits the electrocardiogram signal data to the preprocessing module, performs primary processing and algorithm analysis on the electrocardiogram signal of the signal receiving equipment, transmits the electrocardiogram signal data to the data transmission interaction module and the image module, can adopt Bluetooth transmission or network transmission, and transmits the preprocessed and analyzed electrocardiogram signal data to the cloud background analysis and processing terminal by the data transmission interaction module; the image module is used for carrying out image conversion and visual presentation on real-time electrocardiogram signals of the examinees, and is convenient for callback viewing and real-time adjustment in the later period;
3. the signal processing module receives a preprocessed and analyzed electrocardiogram signal transmitted by the data transmission interaction module, then transmits the signal to the algorithm module, the algorithm module carries out core algorithm processing analysis on the received electrocardiogram signal, then the learning situation classification module which utilizes the core algorithm to analyze the abnormality of a user carries out examination situation classification, the learning situation classification module comprises an atmosphere stress module, a problem stress module and a pressure stress module, then the learning situation classification module transmits the result value of the algorithm data to the data transmission interaction module of the electrocardiogram display and excitation component through the excitation feedback module, then the data transmission interaction module transmits the result value of the core algorithm to the state analysis module, and then carries out grading classification and triggering on excitation equipment for grading regulation, wherein the state analysis module comprises a primary voice reminding module, a secondary voice reminding module and a secondary voice reminding module, wherein the primary voice reminding module corresponds to the atmosphere stress, The invention monitors real-time electrocardiogram signals of examinees in an examination state, analyzes and classifies the electrocardiogram signals in real time through a core algorithm, and then performs directional state grading adjustment to enable the examinees to enter an optimal examination state to exert normal or abnormal level, thereby greatly improving the practicability and high efficiency of the product.
Drawings
FIG. 1 is a schematic flow chart of the overall structure of the present invention.
Reference numbers in the figures: 1-an electrocardio acquisition component, 11-an electrocardio acquisition patch, 12-an ECG chip, 13-a signal transmission module, 14-a flexible power supply device, 2-an electrocardio display and excitation component, 21-a signal receiving device, 22-a preprocessing module, 23-an excitation device, 24-a state analysis module, 25-a data transmission interaction module, 26-an image module, 27-a first-level voice reminding module, 28-a second-level voice reminding module, 29-a third-level voice reminding module, 3-a cloud background processing terminal, 31-a signal processing module, 32-an algorithm module, 33-a learning situation classification module, 34-an excitation feedback module, 35-a storage module, 36-an atmosphere tension module and 37-a problem generation tension module, 38-stress module.
Detailed Description
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1: with reference to fig. 1, a system for preventing examination abnormality based on a portable ECG analysis technology includes an ECG acquisition component 1 for acquiring ECG signals and transmitting signals, an ECG display and excitation component 2 for receiving the ECG signals, preprocessing and analyzing the ECG signals, and a cloud background analysis and processing terminal 3 for performing algorithm processing, analysis and storage on the ECG signals;
the electrocardio acquisition component 1 comprises an electrocardio acquisition patch 11, an ECG chip 12, a signal transmission module 13 and a flexible power supply device 14, wherein the electrocardio acquisition patch 11 is used for contacting a human body and acquiring electrocardio signals, the ECG chip 12 is used for receiving the electrocardio signals and carrying out identification processing, the signal transmission module 13 is used for transmitting the electrocardio signals, the flexible power supply device 14 is used for supplying power to the electrocardio acquisition component, the flexible power supply device 14 is an ultrathin flexible lithium battery with the thickness of 0.35mm, and the ultrathin lithium battery with the thickness of 0.35mm can be repeatedly bent for 10000 times, is ultra-narrow with the width of 6mm and has the ultra-small capacity of 3mAh, so that the electrocardio acquisition component has the advantages of acupuncture resistance, explosion resistance, water resistance, combustion resistance, vibration;
the ECG chip 12 and the signal transmission module 13 are arranged in the electrocardio-collecting patch 11, so that the electrocardio-collecting patch is convenient to use, an electrode patch mode is adopted, the electrocardio-collecting patch is placed in front of the chest for adsorption when in use, the electrocardio-signal data collection is more accurate, the electrocardio-signal data collection can be worn for a long time, wearing fatigue cannot be caused, and the signal transmission module 13 is a Bluetooth transmission protocol or a 5G network transmission protocol;
the product has simple structure and convenient operation, the electrodes of the device are pasted on the chest under the self-calm state of a user, a plurality of electrocardio collecting patches collect electrocardio data signals of an examinee and further record the electrocardio data signals on an ECG chip, then the ECG chip transmits the electrocardiogram signal of the user in the examination state to the electrocardiogram display and excitation component through the signal transmission module, the signal transmission module can adopt any one of Bluetooth transmission protocol or 5G network transmission, wherein, the electrocardio collecting component is powered by 0.35mm ultrathin lithium battery which can be repeatedly bent for 10000 times, has an ultra-narrow width of 6mm and an ultra-small capacity of 3mAh, the system has the advantages of puncture resistance, explosion resistance, water resistance, combustion resistance, vibration resistance, corrosion resistance and the like, and the electrocardiosignal acquisition is more accurate and effective, so that the monitoring data of the examinee in the examination state is more accurate and representative; the system is convenient for subsequent improvement and promotion, and an examinee can quickly enter an examination state in a real examination through a plurality of times of simulation training before the examination, and can automatically generate psychological cues when encountering difficulty, thereby achieving the purposes of promoting the examination state and preventing the examination from being abnormal;
the electrocardio display and excitation assembly 2 comprises a signal receiving device 21 for receiving electrocardio signal data acquired by the electrocardio acquisition assembly, a preprocessing module 22 for carrying out preliminary processing and analysis on the electrocardio signals of the signal receiving device, an excitation device 23 for intervening and guiding a user, a state analysis module 24 for analyzing and recording the guidance and relief of the user based on the excitation device, a data transmission interaction module 25 for uploading the preprocessed electrocardio data to a cloud background analysis and processing terminal and receiving feedback, and an image module 26 for carrying out image display on the electrocardio signal data, wherein the excitation device 23 is a sound or an earphone, and is set in such a way that voice guidance and prompt adjustment are carried out by the excitation device, so that an examinee enters an optimal examination state;
the signal receiving device 21 of the electrocardiogram display and excitation assembly 2 collects and normalizes electrocardiogram signal data of an examinee, wherein the signal receiving device can adopt a Bluetooth or network transmission protocol, the signal receiving device 21 corresponds to the signal transmission module 13, the operation is convenient and fast, the electrocardiogram signal data are transmitted to the preprocessing module 22, the electrocardiogram signal of the signal receiving device is subjected to preliminary processing and algorithm analysis, the electrocardiogram signal data are transmitted to the data transmission interaction module 25 and the image module 26, the data transmission interaction module 25 can adopt Bluetooth transmission or network transmission, and the data transmission interaction module 25 transmits the electrocardiogram signal data subjected to preprocessing analysis to the cloud background analysis processing terminal 3; the image module 26 is used for performing image conversion and visual presentation on real-time electrocardiogram signals of examinees, and is also convenient for callback viewing and real-time process state adjustment in the later period;
the cloud background analysis processing terminal 3 comprises a signal processing module 31 for receiving the preliminary analysis electrocardiosignal transmitted by the electrocardio display and excitation component, an algorithm module 32 for performing core algorithm processing analysis on the received electrocardiosignal, a learning situation classification module 33 for analyzing the abnormality of a user by using the core algorithm, an excitation feedback module 34 for performing data excitation and feedback on the electrocardiosignal data and a storage module 35 for performing background storage on the electrocardiosignal data, wherein the signal processing module 31 performs signal transmission with the data transmission interaction module 25 and receives the electrocardiograph signal from the data transmission interaction module 25, the excitation feedback module 34 transmits the algorithm result data to the data transmission interaction module 25 and then transmits the algorithm result data to the state analysis module 24 through the data transmission interaction module 25 so as to instruct the excitation equipment 23 to make corresponding adjustment; the electrocardiosignal analysis algorithm of the algorithm module comprises the following steps:
X(r)=
Figure 278619DEST_PATH_IMAGE005
;
Y(r)=
Figure 450974DEST_PATH_IMAGE007
r: the wave peak value of the electrocardiosignal;
t: sampling period;
n: the number of sampling points;
Figure 606012DEST_PATH_IMAGE009
(r): the range of the emotion recognition system is 0-10, the emotion recognition system is defined as a user emotion fluctuation value, and the larger the value is, the larger the emotion fluctuation is;
x (r) is
Figure 672057DEST_PATH_IMAGE009
(r) square; the range of the method is 0-100;
y (r): the range of the user emotion pressure value is 0-100, the user emotion pressure value is defined, and the larger the value is, the larger the pressure is;
t: the time difference between the current time and the examination starting time is in seconds;
performing algorithm processing according to acquired data such as r, T, N and the like, so as to analyze the examination state of the user in the aspects of factors such as atmosphere, questions, pressure and the like based on X (r), Y (r) and T, and thus, adopting different ways of incentive means to perform incentive adjustment on the user and enabling the examinee to enter the optimal examination state;
when t is less than or equal to 120s and X (r) is greater than 60, the examination state of the student is defined to be in intense atmosphere through a core algorithm analysis learning situation classification module;
when t >120s, Y (r) >60 and X (r) <60, the examination state of the student is defined to be stress through the core algorithm analysis learning situation classification module;
when t is greater than 120s, Y (r) >60 and X (r) >60, the examination state of the student is defined to be the problem tension by the core algorithm analysis learning situation classification module;
and aiming at different examination states, students are guided to regulate their emotions through different voices or music, so that the examinees enter the optimal examination state.
The learning situation classification module 33 comprises an atmosphere tension module 36, a student question tension module 37 and a pressure tension module 38, according to market research, main factors influencing the exertion of the examinees in the examination process are three types, one type is the influence of examination atmosphere just entering an examination room to wait for examination and being anxious in a few minutes before the examination, and accounts for 26.2%; the second type is anxiety which is generated by the content of the test paper after entering the test answering mode and influences the exertion of the test, the more urgent is the anxiety, the more the urgent is the answering, namely the influence caused by the problem of the test paper, and the percentage is 42.6 percent; the third category is the problem of abnormal performance caused by the fact that the influence of single problem and time decoction is faced after examination answering, and accounts for 31.2 percent; the state analysis module 24 further comprises a primary voice reminding module 27 corresponding to the atmosphere tension module 36, a secondary voice reminding module 28 corresponding to the topic tension module 37, and a tertiary voice reminding module 29 corresponding to the stress tension module 38; the monitoring system judges which type of learning situation classification the examinee is in according to the electrocardiosignal data of the examinee, and then intervenes through different voice excitation modes to enable the examinee to enter the optimal examination state; when an examinee acquires and analyzes an electrocardiosignal data value, and when data obtained by an examinee electrocardiosignal through a core algorithm is in an atmosphere tension module, the excitation device triggers the primary voice reminding module, background music is played, and meanwhile, the following contents are played repeatedly by soft sound: "please close the eyes, breathe deeply, whatever the result you have tried out"; when the data obtained by the electrocardiosignals of the examinees through the core algorithm is in the stress module, the excitation equipment triggers the secondary voice reminding module, the background plays soothing music, and meanwhile, the soft sound repeatedly plays the following contents: if the system analyzes whether the examinee is more tense or in the examinee tension module according to the electrocardiosignals of the examinee after 2 minutes, the motivation equipment triggers the secondary voice reminding module again and repeatedly plays the following contents, namely, the examination can be done first, then the examination is done, and then the examination and the oiling are considered; when the data obtained by the electrocardiosignal of the examinee through the core algorithm is in the stress module, the excitation device triggers the three-level voice reminding module, the background plays the soothing music, and the soft sound plays the following contents repeatedly: the eyes of the examinee can always make efforts to believe that the examinee can successfully relax and relax, and the examinee can intelligently adjust the eyes to enter the optimal examination state;
the signal processing module 31 receives the preprocessed and analyzed electrocardiogram signal transmitted by the data transmission interaction module 25, then transmits the signal to the algorithm module 32, the algorithm module 32 carries out core algorithm processing analysis on the received electrocardiogram signal, then the learning situation classification module 33 using the core algorithm to analyze the abnormality of the user carries out examination situation classification, the learning situation classification module 33 comprises an atmosphere stress module, a problem stress module and a pressure stress module, then the learning situation classification module 33 transmits the result value of the algorithm data to the data transmission interaction module 25 of the electrocardiogram display and excitation component through the excitation feedback module 34, then the data transmission interaction module 25 transmits the result value passing the core algorithm to the state analysis module 24, then carries out grading classification and triggers the excitation device to carry out grading adjustment, wherein the state analysis module 24 comprises a first-level voice reminding module corresponding to the atmosphere stress module, The second-level voice reminding module corresponding to the stress tensioning module and the third-level voice reminding module corresponding to the stress tensioning module are used, and meanwhile, the electrocardio monitoring signal data and the algorithm analysis processing data are stored in a cloud end through the storage module, so that the subsequent scheme improvement and promotion are facilitated; the invention monitors the real-time electrocardiogram signal of the examinee in the examination state, analyzes and classifies the electrocardiogram signal in real time through a core algorithm, and performs directional state grading adjustment to ensure that the examinee enters the optimal examination state and exerts normal or abnormal level, thereby greatly improving the practicability and high efficiency of the product.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.

Claims (7)

1. A system for preventing examination abnormality based on portable ECG analysis technology is characterized in that: the system comprises an electrocardiosignal acquisition component for acquiring electrocardiosignals and transmitting the electrocardiosignals, an electrocardiosignal display and excitation component for receiving the electrocardiosignals, preprocessing and analyzing the electrocardiosignals, and a cloud background analysis and processing terminal for carrying out algorithm processing analysis and storage on the electrocardiosignals;
the electrocardio acquisition assembly comprises an electrocardio acquisition patch, an ECG chip, a signal transmission module and flexible power supply equipment, wherein the electrocardio acquisition patch is used for contacting a human body and acquiring electrocardiosignals, the ECG chip is used for receiving the electrocardiosignals and carrying out identification processing, the signal transmission module is used for transmitting the electrocardiosignals, and the flexible power supply equipment is used for supplying power to the electrocardio acquisition assembly;
the electrocardio display and excitation assembly comprises a signal receiving device for receiving electrocardio signal data acquired by the electrocardio acquisition assembly, a preprocessing module for carrying out preliminary processing and analysis on electrocardio signals of the signal receiving device, an excitation device for intervening and guiding a user, a state analysis module for analyzing and recording the guidance and relief of the user based on the excitation device, a data transmission interaction module for uploading the preprocessed electrocardio data to a cloud background analysis and processing terminal and receiving feedback, and an image module for displaying the electrocardio signal data;
the cloud background analysis processing terminal comprises a signal processing module for receiving an initial analysis electrocardiosignal transmitted by an electrocardio display and excitation assembly, an algorithm module for performing core algorithm processing analysis on the received electrocardiosignal, a learning situation classification module for analyzing abnormality of a user by using a core algorithm, an excitation feedback module for performing data excitation and feedback on electrocardiosignal data and a storage module for performing background storage on the electrocardiosignal data, wherein the signal processing module performs signal transmission with the data transmission interaction module and receives the electrocardiosignal from the data transmission interaction module, and the excitation feedback module transmits algorithm result data to the data transmission interaction module and then transmits the algorithm result data to the state analysis module through the data transmission interaction module so as to indicate the excitation equipment to make corresponding adjustment; the electrocardiosignal analysis algorithm of the algorithm module comprises the following steps:
X(r)=
Figure 282666DEST_PATH_IMAGE001
;
Y(r)=
Figure 951544DEST_PATH_IMAGE002
r: the wave peak value of the electrocardiosignal;
t: sampling period;
n: the number of sampling points;
Figure 944908DEST_PATH_IMAGE003
(r): the range of the emotion recognition system is 0-10, the emotion recognition system is defined as a user emotion fluctuation value, and the larger the value is, the larger the emotion fluctuation is;
x (r) is
Figure 761555DEST_PATH_IMAGE003
(r) square; the range of the method is 0-100;
y (r): the range of the user emotion pressure value is 0-100, the user emotion pressure value is defined, and the larger the value is, the larger the pressure is;
t: the time difference between the current time and the examination starting time is in seconds;
performing algorithm processing according to acquired data such as r, T, N and the like, so as to analyze the examination state of the user in the aspects of factors such as atmosphere, questions, pressure and the like based on X (r), Y (r) and T, and thus, adopting different ways of incentive means to perform incentive adjustment on the user and enabling the examinee to enter the optimal examination state;
when t is less than or equal to 120s and X (r) is greater than 60, the examination state of the student is defined to be in intense atmosphere through a core algorithm analysis learning situation classification module;
when t >120s, Y (r) >60 and X (r) <60, the examination state of the student is defined to be stress through the core algorithm analysis learning situation classification module;
when t is greater than 120s, Y (r) >60 and X (r) >60, the examination state of the student is defined to be the problem tension by the core algorithm analysis learning situation classification module;
and aiming at different examination states, students are guided to regulate their emotions through different voices or music, so that the examinees enter the optimal examination state.
2. The portable ECG analysis technology-based system for preventing examination abnormalities according to claim 1, wherein: the ECG chip and the signal transmission module are arranged inside the electrocardio acquisition patch.
3. The portable ECG analysis technology-based system for preventing examination abnormalities according to claim 2, wherein: the signal transmission module is a Bluetooth transmission protocol or a 5G network transmission protocol.
4. The portable ECG analysis technology-based system for preventing examination abnormalities according to claim 1, wherein: the flexible power supply device is an ultrathin flexible lithium battery with the thickness of 0.35 mm.
5. The portable ECG analysis technology-based system for preventing examination abnormalities according to claim 1, wherein: the excitation device is a sound or an earphone.
6. The portable ECG analysis technology-based system for preventing examination abnormalities according to claim 1, wherein: the learning situation classification module comprises an atmosphere tension module, a problem tension module and a stress tension module.
7. The portable ECG analysis technology-based system for preventing examination abnormalities according to claim 1, wherein: the state analysis module comprises a first-level voice reminding module corresponding to the atmosphere tension module, a second-level voice reminding module corresponding to the topic tension module and a third-level voice reminding module corresponding to the stress tension module.
CN202110149159.XA 2021-02-03 2021-02-03 System for preventing examination abnormality based on portable ECG analysis technology Pending CN112716499A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113470470A (en) * 2021-07-08 2021-10-01 江苏嘉纳宝医疗科技有限公司 Fire emergency training system and method based on virtual reality technology
WO2023097535A1 (en) * 2021-12-01 2023-06-08 河南省安信科技发展有限公司 Monitoring system based on ppg analysis technology for preventing poor exam performance

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113470470A (en) * 2021-07-08 2021-10-01 江苏嘉纳宝医疗科技有限公司 Fire emergency training system and method based on virtual reality technology
WO2023097535A1 (en) * 2021-12-01 2023-06-08 河南省安信科技发展有限公司 Monitoring system based on ppg analysis technology for preventing poor exam performance

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