CN114344125B - Intelligent monitoring system and method for cardiopulmonary resuscitation machine - Google Patents
Intelligent monitoring system and method for cardiopulmonary resuscitation machine Download PDFInfo
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- CN114344125B CN114344125B CN202210075144.8A CN202210075144A CN114344125B CN 114344125 B CN114344125 B CN 114344125B CN 202210075144 A CN202210075144 A CN 202210075144A CN 114344125 B CN114344125 B CN 114344125B
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- 238000002680 cardiopulmonary resuscitation Methods 0.000 title claims abstract description 88
- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title abstract description 17
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical group [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 99
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 99
- 239000001301 oxygen Substances 0.000 claims abstract description 99
- 210000001715 carotid artery Anatomy 0.000 claims abstract description 34
- 210000004556 brain Anatomy 0.000 claims abstract description 25
- 230000010349 pulsation Effects 0.000 claims abstract description 20
- 238000004891 communication Methods 0.000 claims abstract description 9
- 230000002490 cerebral effect Effects 0.000 claims description 19
- 230000006835 compression Effects 0.000 claims description 18
- 238000007906 compression Methods 0.000 claims description 18
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 6
- 238000011156 evaluation Methods 0.000 description 5
- 230000017531 blood circulation Effects 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 3
- 230000002612 cardiopulmonary effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002640 oxygen therapy Methods 0.000 description 2
- 206010049418 Sudden Cardiac Death Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002685 pulmonary effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 208000014221 sudden cardiac arrest Diseases 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
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Abstract
The invention relates to an intelligent monitoring system and method for a cardiopulmonary resuscitation machine, wherein the system comprises the cardiopulmonary resuscitation machine, a control terminal, a mobile terminal, a cloud database, an electrocardiogram acquisition unit, a brain oxygen signal acquisition unit and a carotid artery pulsation acquisition unit, the cardiopulmonary resuscitation machine is connected with the cloud database through the mobile terminal in a communication manner, suitable first pressing parameters and second oxygen supply parameters can be intelligently obtained, and the second pressing parameters and the second oxygen supply parameters can be obtained according to fed-back electrocardiogram signals, brain oxygen signals and cervical pulsation signals, so that intelligent monitoring of different people on different types of cardiopulmonary resuscitation machines is met, and accuracy and rescue effects of implementing cardiopulmonary resuscitation are further improved.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to an intelligent monitoring system and method for a cardiopulmonary resuscitation machine.
Background
Cardiopulmonary resuscitation is a common emergency treatment for sudden cardiac arrest, the traditional bare-handed cardiopulmonary resuscitation has very little blood flow reaching the heart and brain and poor effect, while cardiopulmonary resuscitation can increase circulating blood volume and improve the blood flow supply of the heart and brain, and has been widely used, and cardiopulmonary resuscitator research is continuously developed, and various types of cardiopulmonary resuscitators are developed. At present, when a cardiopulmonary resuscitation machine is used, in order to achieve the effect, the cardiopulmonary resuscitation machine is generally monitored through monitoring various physiological parameters, and as the cardiopulmonary resuscitation machine is various in type and different in condition of different patients, the existing monitoring method cannot meet the requirements of different types of cardiopulmonary resuscitation machines and different patients and cannot be intelligently regulated and controlled.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent monitoring system and an intelligent monitoring method for a cardiopulmonary resuscitation machine, and a pressing system and an oxygen supply system for intelligently monitoring the cardiopulmonary resuscitation machine according to the type of the cardiopulmonary resuscitation machine and the condition of a patient.
In order to solve the technical problems, the invention adopts the following technical scheme: an intelligent monitoring system for a cardiopulmonary resuscitation machine comprises a cardiopulmonary resuscitation machine, a control terminal, a mobile terminal, a cloud database, an electrocardiogram acquisition unit, a cerebral oxygen signal acquisition unit and a carotid artery pulsation acquisition unit,
the cardiopulmonary resuscitation machine is provided with a pressing system and an oxygen supply system;
the control terminal comprises an identification module and a judging module, wherein the identification module is used for controlling the mobile terminal to identify the model of the cardiopulmonary resuscitation machine, and the judging module is used for judging feedback information;
the electrocardiogram acquisition unit is used for acquiring electrocardiogram signals;
the brain oxygen signal acquisition unit is used for acquiring brain oxygen signals;
the carotid artery pulsation acquisition unit is used for acquiring carotid artery pulsation acquisition unit signals;
the mobile terminal is used for sending the identification information to the cloud database and receiving the information sent by the cloud database;
the cloud database is used for storing the model and instrument parameters of the cardiopulmonary resuscitation machine, and the compression parameters and the oxygen supply parameters.
The pressing parameters comprise pressing force, pressing depth and pressing frequency, and the oxygen supply parameters comprise oxygen therapy amount. The compression parameters and the oxygen supply parameters of the different types of cardiopulmonary resuscitation machines stored in the cloud database are obtained through model training of the different types of cardiopulmonary resuscitation machines or according to the use information.
And the cardiopulmonary resuscitation machine is also provided with a communication module for establishing communication connection with the mobile terminal and the cloud database.
The system also comprises a feedback system which can feed back the information acquired by the electrocardiogram acquisition unit, the brain oxygen signal acquisition unit and the carotid artery pulsation acquisition unit.
The specific operation steps are as follows:
step S1, a mobile terminal is controlled to identify an identifier on a cardiopulmonary resuscitation machine, and the model of the cardiopulmonary resuscitation machine and related instrument parameters are obtained from a cloud database;
s2, parameters such as height, weight and age are obtained, and are input through a mobile terminal, and a first pressing parameter and a first oxygen supply parameter corresponding to the type of cardiopulmonary resuscitation machine are obtained from a cloud database;
s3, inputting a first pressing parameter and a first oxygen supply parameter on the instrument, and controlling the pressing system and the oxygen supply system to operate;
step S4, an electrocardiogram acquisition unit, a cerebral oxygen signal acquisition unit and a carotid artery pulse acquisition unit are utilized to acquire electrocardiogram signals, cerebral oxygen signals and carotid artery pulse signals, and a feedback system is arranged for information feedback;
step S5, the control terminal is provided with a judging unit, and the control terminal is used for comparing and judging the fed back signals with the standard signals, and if the electrocardiographic signals, the cerebral oxygen signals and the carotid artery pulse signals are judged to be normal, the pressing operation and the oxygen supply operation are continued; if the electrocardiogram signal, the cerebral oxygen signal and the carotid pulse signal are abnormal, transmitting the electrocardiogram signal, the cerebral oxygen signal and the carotid pulse signal to a cloud database, and obtaining a second pressing parameter and a second oxygen supply parameter from the cloud database; if the cloud database has no corresponding parameters, adjusting the pressing parameters and the oxygen supply parameters according to the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulse signals until the stable second pressing parameters and the second oxygen supply parameters are obtained, and storing the obtained data;
and S6, performing pressing operation and oxygen supply operation according to the selected second pressing parameter and the second oxygen supply parameter, and generating a data record report after the operation is completed.
The acquiring parameters in step S2 further includes acquiring a relevant case record of the patient, so as to obtain appropriate compression parameters and ventilation parameters according to the comprehensive condition of the patient.
The method comprises the steps of storing pressing parameters and oxygen supply parameters of different types of cardiopulmonary resuscitation machines in a cloud database, obtaining the pressing parameters and the oxygen supply parameters through model training, simulating conditions of different people, parameters and signals by using the cardiopulmonary resuscitation machines of different types, and obtaining corresponding pressing parameters and oxygen supply parameters, wherein on the other hand, the method can be obtained by collecting using information of medical staff successfully rescuing different types of people by using the cardiopulmonary resuscitation machines of the type.
The beneficial effects of the invention are as follows: according to the intelligent monitoring system and the method based on the cardiopulmonary resuscitation machine, the cardiopulmonary resuscitation machine is connected with a cloud database through a mobile terminal in a communication mode, parameters related to instruments can be obtained effectively through identification of the model of the cardiopulmonary resuscitation machine, first pressing parameters and second oxygen supply parameters of the cardiopulmonary resuscitation machine of the model can be obtained intelligently according to the height, the weight, the age and the like of a patient, a feedback system is arranged, and the first pressing operation and the oxygen supply operation can be used for comparing and judging the fed-back electrocardiograph signals, brain oxygen signals and neck pulsation signals to obtain the appropriate second pressing parameters and the second oxygen supply parameters, so that intelligent monitoring of different people on the cardiopulmonary resuscitation machine of different models is met, and accuracy and rescue effect of implementing cardiopulmonary resuscitation are further improved.
Drawings
FIG. 1 is a block diagram of an intelligent monitoring system of a CPR machine;
fig. 2 is a block diagram of a compression parameter configuration of the compression system;
fig. 3 is a flow chart of a method for intelligent monitoring of a cardiopulmonary resuscitation machine.
Detailed Description
In order to facilitate an understanding of the present application, the present application is more fully described below in connection with the accompanying drawings.
As shown in fig. 1, the invention provides an intelligent monitoring system of a cardiopulmonary resuscitation machine, which comprises a cardiopulmonary resuscitation machine, a control terminal, a mobile terminal, a cloud database, an electrocardiogram acquisition unit, a cerebral oxygen signal acquisition unit and a carotid artery pulsation acquisition unit,
the cardiopulmonary resuscitation machine is provided with a pressing system and an oxygen supply system;
the control terminal comprises an identification module and a judging module, wherein the identification module is used for controlling the mobile terminal to identify the model of the cardiopulmonary resuscitation machine, and the judging module is used for judging feedback information;
the electrocardiogram acquisition unit is used for acquiring electrocardiogram signals;
the brain oxygen signal acquisition unit is used for acquiring brain oxygen signals;
the carotid artery pulsation acquisition unit is used for acquiring carotid artery pulsation acquisition unit signals;
the mobile terminal is used for sending the identification information to the cloud database and receiving the information sent by the cloud database;
the cloud database is used for storing the model and instrument parameters of the cardiopulmonary resuscitation machine, and the compression parameters and the oxygen supply parameters.
As shown in fig. 2, the pressing parameters include pressing force, pressing depth and pressing frequency, and the oxygen supply parameters include oxygen therapy.
The method comprises the steps of storing compression parameters and oxygen supply parameters of different types of cardiopulmonary resuscitation machines in a cloud database, obtaining the compression parameters and the oxygen supply parameters through model training, and simulating conditions of different people, parameters and signals by using the cardiopulmonary resuscitation machines of different types to obtain corresponding compression parameters and oxygen supply parameters; on the other hand, the medical staff can acquire the use information when using the cardiopulmonary resuscitation machine of the model to rescue different patients.
And the cardiopulmonary resuscitation machine is also provided with a communication module for establishing communication connection with a cloud database of the mobile terminal.
The system can intelligently acquire the proper compression parameters and oxygen supply parameters from the cloud database by establishing communication links among the cardiopulmonary resuscitation machine, the mobile terminal and the cloud database.
In one embodiment, a method for intelligent monitoring of a cardiopulmonary resuscitation machine is provided, the method comprising the steps of:
step S1, identifying an identifier on a cardiopulmonary resuscitation machine through a mobile terminal, acquiring the model of the cardiopulmonary resuscitation machine, and acquiring corresponding instrument parameters of the cardiopulmonary resuscitation machine from a cloud database;
because the cardiopulmonary resuscitation machine has various models and different instrument parameters, the cloud database in step S1 stores the cardiopulmonary resuscitation machine and the instrument parameters thereof of various models, and the mobile terminal can be a mobile phone or a tablet personal computer and the like, and can scan the identification of the cardiopulmonary resuscitation machine to obtain the relevant parameters of the cardiopulmonary resuscitation machine from the cloud database.
Step S2, parameters such as height, weight, age and the like are obtained, and are input through a mobile terminal, and a first pressing parameter and a first oxygen supply parameter corresponding to the cardiopulmonary resuscitation machine are obtained from a cloud database;
after the instrument model and corresponding parameters are obtained, the requirements for compression and oxygen are different due to the differences of heights, weights, ages and the like of different patients, and the corresponding compression parameters and oxygen supply parameters can be obtained from a cloud database by inputting the direct parameters such as the heights, the weights, the ages and the like, so that the effectiveness of the operation of the first cardiopulmonary resuscitation machine is improved.
S3, inputting a first pressing parameter and a first oxygen supply parameter on the instrument;
step S4, acquiring an electrocardiogram signal, a brain oxygen signal and a carotid pulse signal, and carrying out information feedback by a feedback system according to the acquired electrocardiogram signal, brain oxygen signal and carotid pulse signal;
the electrocardiogram signal, the cerebral oxygen signal and the carotid artery pulse signal can reflect the blood flow supply condition of the heart and the brain after the cardiopulmonary resuscitation operation, and the effect of the cardiopulmonary resuscitation operation can be fed back according to the obtained electrocardiogram signal, cerebral oxygen signal and carotid artery pulse signal.
And S5, comparing and judging the fed-back signals with the standard signals by the control terminal, and if the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulse are normal, continuing the pressing and oxygen supplying operation.
In one embodiment, a method for intelligent monitoring of a cardiopulmonary resuscitation machine is provided, the method comprising the steps of:
step S1, acquiring the model of the cardiopulmonary resuscitation machine by identifying the identification on the cardiopulmonary resuscitation machine, and acquiring the corresponding instrument parameters of the cardiopulmonary resuscitation machine from a cloud database;
step S2, parameters such as height, weight, age and the like are obtained, and are input through a mobile terminal, and a first pressing parameter and a first oxygen supply parameter corresponding to the cardiopulmonary resuscitation machine are obtained from a cloud database;
s3, inputting a first pressing parameter and a first oxygen supply parameter on the instrument;
step S4, acquiring an electrocardiogram signal, a brain oxygen signal and carotid artery pulsation, and carrying out information feedback by a feedback system according to the acquired electrocardiogram signal, brain oxygen signal and carotid artery pulsation pressure;
step S5, the control terminal compares and judges the fed-back signals with the standard signals to judge that the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulse signals are abnormal, and transmits the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulse signals to a cloud database, and a second pressing parameter and a second oxygen supply parameter are obtained from the cloud database;
the cloud database stores the adjusted pressing parameters and oxygen supply parameters according to different electrocardiogram signals, brain oxygen signals and carotid artery pulse signals, and the adjusted second pressing parameters and second oxygen supply parameters can be directly obtained from the cloud database according to the electrocardiogram signals, the brain oxygen signals and the carotid artery pulse signals fed back by the first operation, so that cardiopulmonary resuscitation operation can be timely and accurately adjusted.
And S6, performing pressing operation and oxygen supply operation according to the selected second pressing parameter and the second oxygen supply parameter, and generating a data record report after the operation is completed. .
In one embodiment, a method for intelligent monitoring of a cardiopulmonary resuscitation machine is provided, the method comprising the steps of:
step S1, acquiring the model of the cardiopulmonary resuscitation machine by identifying the identification on the cardiopulmonary resuscitation machine, and acquiring the corresponding instrument parameters of the cardiopulmonary resuscitation machine from a cloud database;
step S2, parameters such as height, weight, age and the like are obtained, and are input through a mobile terminal, and a first pressing parameter and a first oxygen supply parameter corresponding to the cardiopulmonary resuscitation machine are obtained from a cloud database;
s3, inputting a first pressing parameter and a first oxygen supply parameter on the instrument;
step S4, acquiring an electrocardiogram signal, a brain oxygen signal and carotid artery pulsation, and carrying out information feedback by a feedback system according to the acquired electrocardiogram signal, brain oxygen signal and carotid artery pulsation pressure;
step S5, the control terminal compares and judges the fed-back signals with the standard signals, judges that the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulsation are abnormal, transmits the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulsation signals to a cloud database, adjusts the pressing parameters and the oxygen supply parameters according to the change of the electrocardiogram signals, the cerebral oxygen signals and the carotid artery pulsation signals if no corresponding parameters exist in the cloud database until stable second pressing parameters and second oxygen supply parameters are obtained, and stores the obtained data;
and sending the pressure parameters and the oxygen supply parameters which are acquired and adjusted to a cloud database for storage and updating so as to continuously perfect the operation information of the pulmonary resuscitation machine in the center of the cloud database.
And S6, performing pressing operation and oxygen supply operation according to the selected second pressing parameter and the second oxygen supply parameter, and generating a data record report after the operation is completed.
After the cardiopulmonary resuscitation operation is finished, an evaluation unit is further arranged, a doctor can be invited to comprehensively evaluate the cardiopulmonary resuscitation effect by acquiring an electrocardiogram signal, a cerebral oxygen signal and a carotid artery pulse signal after the cardiopulmonary resuscitation operation, and the chest condition and the recovery condition of a patient, if the comprehensive evaluation is more than or equal to 80 minutes, the parameter can be directly adopted for operation, if the comprehensive evaluation is less than or equal to 60 minutes and the comprehensive evaluation is less than or equal to 80 minutes, the parameter can be used as a reference parameter, and the pressing parameter and the oxygen supply parameter can be adjusted on the basis of the parameter during operation; if the comprehensive evaluation is less than or equal to 60 points, the cardiopulmonary resuscitation operation is not in place, and improvement is needed.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features in the above examples are not described, however, all of the combinations of the technical features should be considered as the scope of the description of the present specification as long as there is no contradiction. The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (3)
1. The utility model provides a cardiopulmonary resuscitation machine intelligent monitoring system, includes cardiopulmonary resuscitation machine, control terminal, mobile terminal and high in the clouds database, electrocardiograph acquisition unit, brain oxygen signal acquisition unit, carotid pulse acquisition unit, its characterized in that:
the cardiopulmonary resuscitation machine is provided with a pressing system and an oxygen supply system;
the control terminal comprises an identification module, wherein the identification module is used for controlling the mobile terminal to identify the model of the cardiopulmonary resuscitation machine, acquiring the model of the cardiopulmonary resuscitation machine and related instrument parameters from a cloud database through identification on the cardiopulmonary resuscitation machine, and acquiring a first pressing parameter and a first oxygen supply parameter corresponding to the model of the cardiopulmonary resuscitation machine from the cloud database;
the electrocardiogram acquisition unit is used for acquiring electrocardiogram signals;
the brain oxygen signal acquisition unit is used for acquiring brain oxygen signals;
the carotid artery pulsation acquisition unit is used for acquiring carotid artery pulsation signals;
the mobile terminal is used for sending the identification information to the cloud database and receiving the information sent by the cloud database;
the cloud database is used for storing the model and instrument parameters of the cardiopulmonary resuscitation machine, the compression parameters and the oxygen supply parameters; the compression parameters and the oxygen supply parameters of the different types of cardiopulmonary resuscitation machines stored in the cloud database are obtained by performing model training on the different types of cardiopulmonary resuscitation machines or according to the use information;
the feedback system can feed back the information acquired by the electrocardiogram acquisition unit, the brain oxygen signal acquisition unit and the carotid artery pulsation acquisition unit;
the control terminal also comprises a judging module for judging feedback information, and the control terminal judges that the electrocardiogram signal, the cerebral oxygen signal and the carotid artery pulse signal are abnormal according to the comparison and judgment of the feedback signals and the standard signals, and transmits the electrocardiogram signal, the cerebral oxygen signal and the carotid artery pulse signal to a cloud database, and obtains a second pressing parameter and a second oxygen supply parameter from the cloud database; the cloud database stores the adjusted pressing parameters and oxygen supply parameters according to different electrocardiogram signals, brain oxygen signals and carotid artery pulse signals, and the adjusted second pressing parameters and second oxygen supply parameters can be directly obtained from the cloud database according to the electrocardiogram signals, brain oxygen signals and carotid artery pulse signals fed back by the first operation.
2. The system of claim 1, the compression parameters comprising compression force, compression depth, compression frequency, the oxygen delivery parameters comprising oxygen delivery.
3. The system of claim 2, further comprising a communication module on the cardiopulmonary resuscitation machine for establishing communication with a mobile terminal, a cloud database.
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