CN114283662B - Physiological feedback system and method of cardiopulmonary resuscitation model - Google Patents
Physiological feedback system and method of cardiopulmonary resuscitation model Download PDFInfo
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Abstract
The invention discloses a physiological feedback system and a physiological feedback method of a cardiopulmonary resuscitation model, wherein the physiological feedback system comprises the following components: the parameter setting module is used for presetting a physical sign state according to a case before performing cardiopulmonary resuscitation operation and inputting the physical sign state into the data processing module; the measurement module is used for collecting cardiopulmonary compression parameter information; the data processing module is used for constructing a CPR simulation model, correcting the CPR simulation model according to the physical sign state and obtaining physiological feedback information according to the cardiopulmonary compression parameter information; and the output module is used for generating a heart-lung image animation according to the physiological feedback information and displaying the heart-lung image animation to a heart-lung pressing person. The physiological feedback system of the cardiopulmonary resuscitation model simulates a plurality of physiological parameters such as blood oxygen, blood pressure, respiratory airflow and the like in real time through the CPR simulation model, so that a trainee obtains comprehensive training experience.
Description
Technical Field
The invention relates to the technical field of cardiopulmonary resuscitation training equipment, in particular to a physiological feedback system and a physiological feedback method of a cardiopulmonary resuscitation model.
Background
Cardiac arrest is one of the leading causes of death, and cardiopulmonary resuscitation (CPR) is considered the most effective and immediate medical means, and CPR creates blood flow by increasing intrathoracic pressure (chest pump mechanism) or by directly squeezing the heart (heart pump mechanism), delivering oxygen to the brain and other vital organs, thereby establishing temporary artificial circulation.
Although guidelines prescribe compression depth and frequency, currently manual CPR relies heavily on the experience of the rescuer, and most healthcare workers, coaches and the general public are not practical, with insufficient or excessive compression depth and frequency resulting in adverse consequences. Therefore, it is necessary to evaluate the CPR quality comprehensively and intelligently during the training process.
In the prior art, there are two ways to evaluate the pressing effect: firstly, the real-time monitoring feedback of the physiological index of the patient to be rescued, and secondly, the direct measurement of the compression depth and frequency. The latter may be due to differences in the individual condition of the patient or to the phenomenon of spontaneous recovery of circulation of the patient during CPR, resulting in a compression related parameter that does not truly reflect the actual effects of the patient's physical condition. However, how to truly and comprehensively reflect physiological indexes by using a CPR patient model is a problem to be solved in the learning and training process.
Disclosure of Invention
The invention aims to overcome one or more defects of the prior art and provides a physiological feedback system and a physiological feedback method of a cardiopulmonary resuscitation model.
The aim of the invention is realized by the following technical scheme: a physiological feedback system of a cardiopulmonary resuscitation model,
comprising the following steps:
the parameter setting module is used for presetting a physical state according to cases before performing cardiopulmonary resuscitation operation, recovering the autonomous circulation of a patient in the process of performing cardiopulmonary resuscitation operation, and inputting the physical state and physiological parameters required by the autonomous circulation into the data processing module;
the measurement module is used for collecting cardiopulmonary compression parameter information;
the data processing module is used for constructing a CPR simulation model, correcting the CPR simulation model according to the physical sign state and simulating according to the cardiopulmonary compression parameter information to obtain physiological feedback information, wherein the CPR simulation model comprises a heart dynamic formula, a hemodynamic formula, a lung dynamic formula, a respiratory mechanics formula and a simulation formula of pulmonary ventilation;
and the output module is used for generating a heart-lung image animation according to the physiological feedback information and displaying the heart-lung image animation to a heart-lung pressing person.
A method of physiological feedback for a cardiopulmonary resuscitation model, comprising:
constructing a CPR simulation model, wherein the CPR simulation model comprises a simulation formula of cardiovascular system, respiratory system, energy metabolism and nerve regulation mechanism;
setting a patient's physical condition, the physical condition including one or more of gender, age, weight, height, and chest condition;
correcting a CPR simulation model according to the physical sign state;
collecting cardiopulmonary compression parameter information, and inputting the cardiopulmonary compression parameter information into a corrected CPR simulation model;
the CPR simulation model simulates the heart-lung compression parameter information to obtain physiological feedback information;
and generating a feedback result according to the physiological feedback information, and displaying the feedback result to the cardiopulmonary compression personnel.
Preferably, the physiological feedback method further comprises:
constructing a target parameter model;
obtaining target pressing depth and frequency by utilizing a target parameter model according to the physiological feedback information;
the target compression depth and frequency are displayed to the cardiopulmonary compression person.
Preferably, correcting the CPR simulation model according to the sign status comprises:
calculating the body surface area of a patient according to the height and the weight;
calculating scaling factors according to the body surface area of the patient and the default body surface area of the CPR simulation model;
correcting structural parameters of each organ tissue in the CPR simulation model according to the scaling factors;
calculating a basal metabolic rate according to the height, weight, age and sex of the patient through a Harris-Benedict formula;
and calculating the basic metabolism quantity of each organ tissue according to the basic metabolism rate and the structural parameters of each organ tissue in the CPR simulation model.
Preferably, the cardiopulmonary compression parameter information is airflow data at the mouth and nose of the mannequin.
Preferably, the CPR simulation model simulates and obtains physiological feedback information according to the cardiopulmonary compression parameter information, including:
according to the air flow data of the mouth and nose of the human body model, calculating the air pressure in the mouth and nose, wherein the calculation formula is as follows:
in the method, in the process of the invention,is the air pressure in the mouth and nose, and is->Is at atmospheric pressure->，/>For air flow data>Resistance to air flow at the mouth and nose;
calculating the intra-pleural cavity pressure according to the intra-oral-nasal air pressure, wherein the calculation formula is as follows:
in the method, in the process of the invention,is the air pressure in the mouth and nose, and is->Is at atmospheric pressure->For resistance to air flow at the mouth and nose>For the compliance of the mouth and nose,for compliance of the trachea, +.>For bronchial compliance, +.>Compliance of alveoli->For the compliance of the thorax>For resistance to intratracheal airflow>For resistance to intrabronchial airflow, < >>For intra alveolar airflow resistance,/->For respiratory muscle contraction pressure->Is the air pressure in the trachea, is>Is the intrabronchial air pressure->For intra alveolar barometric pressure,/->Is intra-pleural pressure;
and simulating the physiological feedback information according to the intrapleural pressure by using a CPR simulation model.
Preferably, the cardiopulmonary compression parameter information is compression pressure.
Preferably, the CPR simulation model simulates and obtains physiological feedback information according to the cardiopulmonary compression parameter information, including:
calculating the intra-pleural pressure according to the pressing pressure, wherein the calculation formula is as follows:
in the method, in the process of the invention,for pleuraIntra-luminal pressure->For sudden cardiac arrest and without pressing action, intra-pleural pressure,/->Is the pressing pressure;
and simulating the physiological feedback information according to the intrapleural pressure by using a CPR simulation model.
Preferably, the physiological feedback method further comprises:
a CPR simulation model simulates compression data according to the intra-pleural pressure, wherein the compression data comprises one or more of compression depth, compression frequency and compression interval;
the compression data is displayed to a cardiopulmonary compression person.
Preferably, the physiological feedback information includes one or more of blood oxygen saturation, arterial blood pressure, lung ventilation, expiratory carbon dioxide fraction, and blood flow perfusion of each tissue.
The beneficial effects of the invention are as follows: the physiological feedback system of the cardiopulmonary resuscitation model simulates 300 rest physiological parameters such as blood oxygen, blood pressure, respiratory airflow and the like in real time through the CPR simulation model, and expresses physiological feedback in various modes, so that the problem that the CPR patient model cannot truly and comprehensively reflect physiological indexes in the learning and training process is solved, and a trainee obtains comprehensive training experience.
Drawings
FIG. 1 is a block diagram of a physiological feedback system of the central pulmonary resuscitation model of the present invention;
fig. 2 is a block flow diagram of a physiological feedback method of the central pulmonary resuscitation model of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present invention, based on the embodiments of the present invention.
Referring to fig. 1-2, the present embodiment provides a physiological feedback system and method for cardiopulmonary resuscitation model:
as shown in fig. 1, a physiological feedback system of a cardiopulmonary resuscitation model includes a parameter setting module, a measurement module, a data processing module, and an output module.
The parameter setting module is used for presetting a physical state according to cases before performing cardiopulmonary resuscitation operation and recovering the autonomous circulation of a patient in the process of performing cardiopulmonary resuscitation operation, and inputting the physical state and physiological parameters required by the autonomous circulation into the data processing module.
The measurement module is used for collecting cardiopulmonary compression parameter information, and generally, the cardiopulmonary compression parameter information is air flow data at the mouth and nose of the human body model or compression pressure of a compression person. The air flow data at the mouth and nose of the human body model are obtained by measuring the air flow at the mouth and nose of the human body model by using an air flow sensor, and the pressing pressure can be measured by using a laser displacement sensor, a mechanical trip card type displacement sensor, an acceleration sensor and the like.
The data processing module is used for constructing a CPR simulation model, correcting the CPR simulation model according to the physical sign state, and simulating according to the heart-lung compression parameter information to obtain physiological feedback information, wherein the CPR simulation model comprises a simulation formula of a cardiovascular system, a respiratory system, energy metabolism and a nerve regulation mechanism. In addition, the data processing module is also used for constructing a target parameter model and obtaining target pressing depth and frequency by utilizing the target parameter model according to the physiological feedback information. Typically, the physiological feedback information includes one or more of blood oxygen saturation, arterial blood pressure, lung ventilation, expiratory carbon dioxide fraction, and blood flow perfusion of the respective tissue.
The output module is used for generating a heart-lung image animation according to the physiological feedback information, displaying the heart-lung image animation to a heart-lung pressing person, and displaying the target pressing depth and frequency to the heart-lung pressing person.
In some casesIn an embodiment, the output module includes an AR head display device, a common screen display device, an effector and a speaker, where the AR head display device is used to be worn on the head of a cardiopulmonary compression person, so that the cardiopulmonary compression person can present a virtualized physiological process of a cardiopulmonary system on a human model (silica gel model) when observing the human model, and generates an animation of the heart being pressed or spontaneously beating, a blood vessel blood flow color and flow effect, a lung structure expanding and contracting animation, and the like according to parameters such as physiological feedback information output by the data processing module. The screen display device is used for displaying monitoring parameters of the human body model, such as blood oxygen saturation, blood pressure, ventilation volume, expiratory carbon dioxide fraction, blood flow perfusion pressure of each tissue and the like; in addition, the screen display device is also used for displaying parameter information such as target pressing depth, frequency and the like. The effector is arranged on the human body model and is used for simulating skin colors, pupils, neck movement pulses and the like of the human body model; specifically, the effector comprises a pupil simulator, a finger-end skin color simulator, a carotid artery pulse simulator and the like, wherein the finger-end skin color simulator is driven by blood oxygen data (SjO 2) of skin tissues of limbs, and the color change of the finger-end skin color simulator is realized by an LED; the carotid artery pulse simulator uses an electromagnetic mode, and the pulse intensity and frequency of the carotid artery pulse simulator are determined by carotid artery pressure (Psa); the pupil simulator performs an magnification/restoration simulation according to whether or not to restore the autonomous circulation. The loudspeaker is used for outputting heart sound, breathing sound and the like, the heart sound frequency is determined according to the heart rate after the spontaneous circulation is recovered, and the breathing sound is determined according to the airflow dataSimulation was performed.
As shown in fig. 2, a physiological feedback method of a cardiopulmonary resuscitation model includes:
s1, constructing a CPR simulation model, wherein the CPR simulation model comprises a heart dynamic formula, hemodynamics, a lung dynamic formula, a respiratory mechanics formula and a simulation formula of pulmonary ventilation.
S2, setting the physical sign states of the patient, wherein the physical sign states comprise one or more of gender, age, weight, height and chest state.
Typically, the chest condition includes one or more of the physiological parameters of a barotrauma, a pneumothorax, a cannula in a main bronchus, and flail chest cases.
S3, correcting the CPR simulation model according to the physical sign state.
In some embodiments, correcting the CPR simulation model according to the sign status comprises: calculating the body surface area of a patient according to the height and the weight; calculating scaling factors according to the body surface area of the patient and the default body surface area of the CPR simulation model; correcting structural parameters of each organ tissue in the CPR simulation model according to the scaling factors, wherein the structural parameters comprise one or more of lumen resistance, compliance, volume, myocardial contraction force and respiratory muscle contraction force of each blood vessel and trachea structure; calculating a basal metabolic rate according to the height, weight, age and sex of the patient through a harris-benidester formula (Harris and Benedict formula); and calculating the basic metabolism quantity of each organ tissue according to the basic metabolism rate and the structural parameters of each organ tissue in the CPR simulation model.
S4, collecting cardiopulmonary compression parameter information, and inputting the cardiopulmonary compression parameter information into a corrected CPR simulation model.
Generally, the cardiopulmonary compression parameter information is air flow data at the mouth and nose of the mannequin or compression pressure of a compression person. The air flow data at the mouth and nose of the human body model are obtained by measuring the air flow at the mouth and nose of the human body model by using an air flow sensor, and the pressing pressure can be measured by using a laser displacement sensor, a mechanical trip card type displacement sensor, an acceleration sensor and the like.
And S5, simulating by the CPR simulation model according to the cardiopulmonary compression parameter information to obtain physiological feedback information.
In some embodiments, the CPR simulation model simulates physiological feedback information from the cardiopulmonary compression parameter information, comprising:
s501, calculating the air pressure in the mouth and the nose according to the air flow data at the mouth and the nose of the human body model, wherein the calculation formula is as follows:
in the method, in the process of the invention,is the air pressure in the mouth and nose, and is->Is at atmospheric pressure->，/>For air flow data>Is the resistance to air flow at the mouth and nose.
S502, calculating intra-pleural pressure (a nonlinear very differential equation is solved by using a rk4 Dragon lattice tower method) according to the intra-oral-nasal air pressure, wherein the calculation formula is as follows:
in the method, in the process of the invention,is the air pressure in the mouth and nose, and is->Is at atmospheric pressure->For resistance to air flow at the mouth and nose>For the compliance of the mouth and nose,for compliance of the trachea, +.>For bronchial compliance, +.>Compliance of alveoli->For the compliance of the thorax>For resistance to intratracheal airflow>For resistance to intrabronchial airflow, < >>For intra alveolar airflow resistance,/->Is the air pressure in the trachea, is>Is the intrabronchial air pressure->For intra alveolar barometric pressure,/->Internal pressure of pleural cavity>For respiratory muscle contraction pressure, sudden cardiac arrestSimulation was performed by the lung power formula when restoring autonomous circulation:
wherein T is I For the duration of the inspiration phase, T E The duration of the expiration phases, IE ratio Is T I And T E Ratio (0.6), RR is the natural respiratory rate, P mus,min For intrinsic respiratory muscle contractility, T is the respiratory cycle, T is the simulation time, and τ is a constant.
And S503, compressing the physiological feedback information according to the intrapleural compression model by using a CPR simulation model.
First, the hemodynamic parameters of the circulatory system are simulated using a CPR simulation model. The heart in the chest (left ventricle lv, right ventricle rv, left atrium la, right atrium ra), chest vein tv, pulmonary aorta pa, pulmonary vein pv, pulmonary capillary pp, pulmonary shunt ps are mainly affected by the compression pressure in the circulatory system. At the time of sudden cardiac arrest, the blood flow pressure generated by spontaneous systole of the heart is 0, i.e. (P lv =0，P rv =0，P la =0，P ra =0), the heart is simulated by the cardiac dynamic formula when it resumes spontaneous circulation:
thereby obtaining P lv （P rv ,P ra ,P la Solving the same principle as the formula), wherein E max,lv For maximum left ventricular contractive force, V lv ,V u,lv R is the volume of the left chamber and the volume of the left chamber without stress lv For left ventricular flow resistance, F o,l To simulate blood flow.
The intravascular blood flow and pressure of each segment was simulated by the following hemodynamic formula (Windkessel model):
wherein the subscript j represents each blood vessel, L j Representing flow inertia, into the blood pressure P j Becomes outflow blood pressure P after being influenced by vascular resistance Rj j+1 The blood vessel is characterized by its intrinsic elastic properties (compliance C j ) To subject it to blood pressure P j Expansion occurs during compression of (i) the vessel volume V in the initial state (unstressed) u,j Then the real-time blood vessel volume V j 。
Meanwhile, according to a respiratory mechanics formula, simulating airflow and volume change in the lung:
wherein V is u The volume of the intrinsic volume is represented,、/> A representing the changes in airflow at the oronasal and alveoli, respectively, V D 、V A Representing the tissue volume dissecting the dead space and alveoli.
When simulating respiratory mechanics、/> A 、V D 、V A Then, V is simulated based on hemodynamics PP , Q pa , Q pp , Q ps The value, by using the lung ventilation formula, can simulate the gas content (C pp,gas Representing the blood gas content in the alveoli out of capillaries):
wherein F represents the gas content, V represents the tissue volume,represents air flow, C represents gas content in blood, subscript D represents anatomical dead space, I represents oronasal site, A represents alveoli, gas represents O 2 Or CO 2 ，
The simulated data is converted to obtain the blood oxygen saturation S jO2 Arterial blood pressure Psa, lung ventilation PV, expiratory carbon dioxide fraction F iCO2 Perfusion pressure P of blood flow of each tissue j Etc.
Typically, the physiological feedback information includes one or more of blood oxygen saturation, arterial blood pressure, lung ventilation, expiratory carbon dioxide fraction, and blood flow perfusion of the respective tissue.
In some embodiments, the CPR simulation model simulates physiological feedback information from the cardiopulmonary compression parameter information, comprising:
s511, calculating the intra-pleural pressure according to the pressing pressure, wherein the calculation formula is as follows:
in the method, in the process of the invention,internal pressure of pleural cavity>For sudden cardiac arrest and without pressing action, intra-pleural pressure,/->Is the pressing pressure.
And S512, compressing the physiological feedback information according to the intrapleural compression model by using a CPR simulation model.
For example, based on the intra-pleural pressure, circulatory system hemodynamic parameters are simulated using a CPR simulation model. The heart in the chest (left ventricle lv, right ventricle rv, left atrium la, right atrium ra), chest vein tv, pulmonary aorta pa, pulmonary vein pv, pulmonary capillary pp, pulmonary shunt ps are mainly affected by the compression pressure in the circulatory system. At the time of sudden cardiac arrest, the blood flow pressure generated by spontaneous systole of the heart is 0, i.e. (P lv =0，P rv =0，P la =0，P ra =0), the heart is simulated by the heart dynamic formula when it resumes spontaneous circulation.
In the following formula, subscript j denotes a circulating tissue blood vessel or heart within the pleural cavity, C j Representing vascular compliance, Q j+1 Representing blood flow at the anterior end of a blood vessel, Q j Representing blood flow at the end of a blood vessel, P j Represents intravascular blood pressure, P j-1 Representing the blood pressure in the next segment of circulating blood vessel,R j represents the blood flow resistance of the blood vessel at the current stage, V j Representing the volume of the blood vessel in the current segment, V u,j Represents the natural volume, k, of a blood vessel when not affected by pressure j The influence factor k representing the pressed position and distance of the blood vessel in the time segment j A larger value indicates a closer distance to the compression site (e.g., heart), and a larger effect of the compression pressure.
For example, according to the intra-pleural pressure, the physiological parameters related to hemodynamics, respiratory mechanics, expiratory gas transportation and exchange and neuromodulation are simulated by using a CPR simulation model to obtain the blood oxygen saturation S jO2 Arterial blood pressure Psa, lung ventilation PV, expiratory carbon dioxide fraction F iCO2 Perfusion pressure P of blood flow of each tissue j Etc.
In some embodiments, the physiological feedback method further comprises: a CPR simulation model simulates compression data according to the intra-pleural pressure, wherein the compression data comprises one or more of compression depth, compression frequency and compression interval; the compression data is displayed to a cardiopulmonary compression person. Data such as compression depth, compression frequency and compression interval are obtained through calculation and are displayed to cardiopulmonary compression staff, so that the cardiopulmonary compression staff can know current compression parameters conveniently.
S6, generating a feedback result according to the physiological feedback information, and displaying the feedback result to the cardiopulmonary compression personnel.
The feedback result comprises one or more of heart-lung image animation, physiological parameters, compression parameters and the like.
In some embodiments, the cardiopulmonary image animation is displayed to the cardiopulmonary compression person by an AR head-up display device.
In some embodiments, the physiological parameter and compression parameter are displayed to the cardiopulmonary compression person by an on-screen device. The physiological parameter comprises blood oxygen saturation S jO2 Arterial blood pressure Psa, ventilation PV, expiratory carbon dioxide fraction F iCO2 Perfusion pressure P of blood flow of each tissue j Etc., including compression depth, compression frequency, compression interval, etc.
In some embodiments, the physiological feedback method further comprises: according to the physiological feedback information, the effector is utilized to simulate and represent the physiological phenomenon of the human body model. Specifically, the effector comprises a pupil simulator, a finger-end skin color simulator, a carotid artery pulse simulator and the like, wherein the finger-end skin color simulator is driven by blood oxygen data (SjO 2) of skin tissues of limbs, and the color change of the finger-end skin color simulator is realized by an LED; the carotid artery pulse simulator uses an electromagnetic mode, and the pulse intensity and frequency of the carotid artery pulse simulator are determined by carotid artery pressure (Psa); the pupil simulator performs an magnification/restoration simulation according to whether or not to restore the autonomous circulation. The loudspeaker is used for outputting heart sound, breathing sound and the like, the heart sound frequency is determined according to the heart rate after the spontaneous circulation is recovered, and the breathing sound is determined according to the airflow dataSimulation was performed.
In some embodiments, the physiological feedback method further comprises: constructing a target parameter model; obtaining target pressing depth and frequency by utilizing a target parameter model according to the physiological feedback information; the target compression depth and frequency are displayed to the cardiopulmonary compression person. In these embodiments, the target compression depth and frequency are obtained according to the physiological feedback information and displayed to the cardiopulmonary compression personnel, so that the cardiopulmonary compression personnel can adjust the compression parameters in real time according to the change of the physiological parameters, thereby improving the compression accuracy.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (9)
1. A physiological feedback system for a cardiopulmonary resuscitation model, comprising:
the parameter setting module is used for presetting a physical state according to cases before performing cardiopulmonary resuscitation operation, recovering the autonomous circulation of a patient in the process of performing cardiopulmonary resuscitation operation, and inputting the physical state and physiological parameters required by the autonomous circulation into the data processing module;
the measurement module is used for collecting cardiopulmonary compression parameter information;
the data processing module is used for constructing a CPR simulation model, correcting the CPR simulation model according to the physical sign state and simulating according to the cardiopulmonary compression parameter information to obtain physiological feedback information, wherein the CPR simulation model comprises a heart dynamic formula, a hemodynamic formula, a lung dynamic formula, a respiratory mechanics formula and a simulation formula of pulmonary ventilation;
the output module is used for generating a heart-lung image animation according to the physiological feedback information and displaying the heart-lung image animation to a heart-lung pressing person;
correcting a CPR simulation model according to the sign status, comprising:
calculating the body surface area of a patient according to the height and the weight;
calculating scaling factors according to the body surface area of the patient and the default body surface area of the CPR simulation model;
correcting structural parameters of each organ tissue in the CPR simulation model according to the scaling factors;
calculating a basal metabolic rate according to the height, weight, age and sex of the patient through a Harris-Benedict formula;
and calculating the basic metabolism quantity of each organ tissue according to the basic metabolism rate and the structural parameters of each organ tissue in the CPR simulation model.
2. A method of physiological feedback for a cardiopulmonary resuscitation model, comprising:
constructing a CPR simulation model, wherein the CPR simulation model comprises a simulation formula of cardiovascular system, respiratory system, energy metabolism and nerve regulation mechanism;
setting a patient's physical condition, the physical condition including one or more of gender, age, weight, height, and chest condition;
correcting a CPR simulation model according to the physical sign state;
collecting cardiopulmonary compression parameter information, and inputting the cardiopulmonary compression parameter information into a corrected CPR simulation model;
the CPR simulation model simulates the heart-lung compression parameter information to obtain physiological feedback information;
generating a feedback result according to the physiological feedback information, and displaying the feedback result to a cardiopulmonary compression person;
correcting a CPR simulation model according to the sign status, comprising:
calculating the body surface area of a patient according to the height and the weight;
calculating scaling factors according to the body surface area of the patient and the default body surface area of the CPR simulation model;
correcting structural parameters of each organ tissue in the CPR simulation model according to the scaling factors;
calculating a basal metabolic rate according to the height, weight, age and sex of the patient through a Harris-Benedict formula;
and calculating the basic metabolism quantity of each organ tissue according to the basic metabolism rate and the structural parameters of each organ tissue in the CPR simulation model.
3. The method of physiological feedback for a cardiopulmonary resuscitation model according to claim 2, further comprising:
constructing a target parameter model;
obtaining target pressing depth and frequency by utilizing a target parameter model according to the physiological feedback information;
the target compression depth and frequency are displayed to the cardiopulmonary compression person.
4. The physiological feedback method of a cardiopulmonary resuscitation model according to claim 2, wherein the cardiopulmonary compression parameter information is airflow data at an oronasal portion of the mannequin.
5. The method of claim 4, wherein the CPR simulation model simulates the physiological feedback information according to the cardiopulmonary compression parameter information, comprising:
according to the air flow data of the mouth and nose of the human body model, calculating the air pressure in the mouth and nose, wherein the calculation formula is as follows:
in the method, in the process of the invention,is the air pressure in the mouth and nose, and is->Is at atmospheric pressure->，/>For air flow data>Resistance to air flow at the mouth and nose;
calculating the intra-pleural cavity pressure according to the intra-oral-nasal air pressure, wherein the calculation formula is as follows:
in the method, in the process of the invention,is the air pressure in the mouth and nose, and is->Is at atmospheric pressure->For resistance to air flow at the mouth and nose>For compliance of the mouth and nose->For compliance of the trachea, +.>For bronchial compliance, +.>Compliance of alveoli->For the compliance of the thorax>For resistance to intratracheal airflow>For resistance to intrabronchial airflow, < >>For intra alveolar airflow resistance,/->For respiratory muscle contraction pressure->Is the air pressure in the trachea, is>Is the intrabronchial air pressure->For intra alveolar barometric pressure,/->Is intra-pleural pressure;
and simulating the physiological feedback information according to the intrapleural pressure by using a CPR simulation model.
6. The method according to claim 2, wherein the cardiopulmonary compression parameter information is compression pressure.
7. The method of claim 6, wherein the CPR simulation model simulates the physiological feedback information according to the cardiopulmonary compression parameter information, comprising:
calculating the intra-pleural pressure according to the pressing pressure, wherein the calculation formula is as follows:
in the method, in the process of the invention,internal pressure of pleural cavity>For sudden cardiac arrest and without pressing action, intra-pleural pressure,/->Is the pressing pressure;
and simulating the physiological feedback information according to the intrapleural pressure by using a CPR simulation model.
8. The method of physiological feedback for a cardiopulmonary resuscitation model according to claim 5 or 7, further comprising:
a CPR simulation model simulates compression data according to the intra-pleural pressure, wherein the compression data comprises one or more of compression depth, compression frequency and compression interval;
the compression data is displayed to a cardiopulmonary compression person.
9. The method of claim 2, wherein the physiological feedback information comprises one or more of blood oxygen saturation, arterial blood pressure, lung ventilation, expiratory carbon dioxide fraction, and blood flow perfusion of each tissue.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102770070A (en) * | 2009-12-28 | 2012-11-07 | 佛罗里达大学研究基金会有限公司 | System and method for assessing real time pulmonary mechanics |
| CN108550310A (en) * | 2018-06-08 | 2018-09-18 | 武汉湾流科技股份有限公司 | A kind of CPR simulated training method and system based on virtual reality technology |
| RU2689756C1 (en) * | 2018-02-09 | 2019-05-28 | Общество с ограниченной ответственностью "Эйдос - Медицина" | Practical skills training for first aid and auscultation by means of medical simulator |
| CN110035697A (en) * | 2016-11-11 | 2019-07-19 | 加利福尼亚大学董事会 | It recovers and takes a breath asynchronous monitor |
| CN110570706A (en) * | 2019-08-29 | 2019-12-13 | 陕西阳光校园风险防控技术服务有限公司 | Cardiopulmonary resuscitation simulation training system and method based on escape course |
| CN111685992A (en) * | 2020-06-22 | 2020-09-22 | 吉林大学 | Cardio-pulmonary resuscitation feedback system |
| CN112996434A (en) * | 2019-09-30 | 2021-06-18 | 东南大学附属中大医院 | Capacity reactivity assessment method and medical equipment |
| CN113288087A (en) * | 2021-06-25 | 2021-08-24 | 成都泰盟软件有限公司 | Virtual-real linkage experimental system based on physiological signals |
-
2021
- 2021-11-15 CN CN202111347811.5A patent/CN114283662B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102770070A (en) * | 2009-12-28 | 2012-11-07 | 佛罗里达大学研究基金会有限公司 | System and method for assessing real time pulmonary mechanics |
| CN110035697A (en) * | 2016-11-11 | 2019-07-19 | 加利福尼亚大学董事会 | It recovers and takes a breath asynchronous monitor |
| RU2689756C1 (en) * | 2018-02-09 | 2019-05-28 | Общество с ограниченной ответственностью "Эйдос - Медицина" | Practical skills training for first aid and auscultation by means of medical simulator |
| CN108550310A (en) * | 2018-06-08 | 2018-09-18 | 武汉湾流科技股份有限公司 | A kind of CPR simulated training method and system based on virtual reality technology |
| CN110570706A (en) * | 2019-08-29 | 2019-12-13 | 陕西阳光校园风险防控技术服务有限公司 | Cardiopulmonary resuscitation simulation training system and method based on escape course |
| CN112996434A (en) * | 2019-09-30 | 2021-06-18 | 东南大学附属中大医院 | Capacity reactivity assessment method and medical equipment |
| CN111685992A (en) * | 2020-06-22 | 2020-09-22 | 吉林大学 | Cardio-pulmonary resuscitation feedback system |
| CN113288087A (en) * | 2021-06-25 | 2021-08-24 | 成都泰盟软件有限公司 | Virtual-real linkage experimental system based on physiological signals |
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