Device, storage medium, and electronic device for determining chest compression parameters

Abstract

The embodiment of the present application relates to a method and device for determining chest compression parameters, a storage medium, and an electronic device. By acquiring pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor; determining the compression depth according to the acceleration data; determining a measured value of the thoracic elastic coefficient of the patient being compressed according to the pressure data and the compression depth; thus, it can reflect the thoracic condition of the patient to a certain extent and provide a basis for treatment; when the patient is in an inappropriate cardiopulmonary resuscitation environment, the measurement of the thoracic elastic coefficient can also help determine chest compression parameters, especially the compression depth, which is beneficial to accurately feedback chest compression information.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and particularly to a method and device for determining chest compression parameters, a storage medium, and an electronic device. Background Art

[0002] Cardiac arrest refers to a life-threatening state in which the mechanical activity of the heart's pumping function suddenly stops directly due to arrhythmia and / or the disappearance of effective cardiac contractions, resulting in the interruption of systemic blood circulation, the cessation of breathing, and the loss of consciousness. Cardiopulmonary resuscitation is the cornerstone for saving the lives of patients with cardiac arrest. During most of the time of cardiac arrest, sufficient blood flow must be generated through effective chest compressions to deliver oxygen and metabolic substrates to critical organs and tissues; the ability to restore spontaneous circulation depends on the oxygen and blood flow delivered to the myocardium during cardiopulmonary resuscitation.

[0003] During chest compressions, by pressing on the sternum, the sternum sinks, squeezing the heart located between the sternum and the spine to pump blood out of the heart. At the same time, chest compressions generate a pressure gradient in the internal and external vascular systems of the chest cavity. The blood vessels are "squeezed" and the blood is pushed forward, flowing into the arteries with lower pressure outside the chest. The presence of venous valves and arterial valves prevents blood from flowing backward, ensuring unidirectional blood flow during compression. During the relaxation period of chest cavity rebound, due to the elasticity of the chest wall, it is passively expanded using the compression kinetic energy stored therein. The expansion of the chest cavity creates a negative pressure relative to the atmospheric pressure inside the chest cavity, promoting venous return, increasing the preload of the chest pump, and allowing blood to "flow back into the pump - the heart" from the venous system, preparing for pumping during the next compression.

[0004] Clinical big data has confirmed that high-quality chest compressions can improve the resuscitation success rate of patients with cardiac arrest. Therefore, current international guidelines require strict control of the quality of chest compressions and put forward specific indicators for various quality parameters of chest compressions. Existing chest compression feedback devices can collect, analyze, and feedback data during manual compressions, providing a basis for the evaluation and guidance of chest compressions. However, current chest compression feedback devices only measure the displacement of the device itself, and the displacement of the device itself is different from the displacement of chest cavity deformation in some special cases, such as pressing on a soft bed and / or pressing in an ambulance. The information fed back in this way is not helpful for the progress of the rescue process and may even provide incorrect guidance. Accurately determining chest compression parameters, reducing misjudgment and wrong judgment, and then accurately feeding back chest compression information is an important technical problem that the field has always been committed to solving. Summary of the Invention

[0005] In view of this, embodiments of the present application provide a method and device for determining chest compression parameters, a storage medium, and an electronic device to solve at least one problem in the background art.

[0006] In a first aspect, an embodiment of the present application provides a method for determining chest compression parameters, the method comprising:

[0007] Obtain pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor;

[0008] Determine the compression depth according to the acceleration data;

[0009] Determine a measured value of the thoracic elastic coefficient of the patient being compressed according to the pressure data and the compression depth.

[0010] Combined with the first aspect of the present application, in an alternative embodiment, the method further comprises:

[0011] Judge whether the currently measured value of the thoracic elastic coefficient meets a preset condition;

[0012] If not, determine a compression depth correction value according to the ratio of the measured value of the thoracic elastic coefficient to the intervention value of the thoracic elastic coefficient and the compression depth.

[0013] Combined with the first aspect of the present application, in an alternative embodiment,

[0014] the method further comprises:

[0015] Judge whether the lateral acceleration in the acceleration data meets a preset requirement;

[0016] If not, determine a compression depth correction value according to the pressure data and the intervention value of the thoracic elastic coefficient.

[0017] Combined with the first aspect of the present application, in an alternative embodiment,

[0018] The intervention value of the thoracic elastic coefficient is determined by the following steps:

[0019] If at least one result of judging whether the measured value of the thoracic elastic coefficient meets the preset condition during the chest compression of the currently compressed patient is satisfied, determine the thoracic elastic coefficient of the currently compressed patient according to the measured value of the thoracic elastic coefficient corresponding to the satisfied result, and the intervention value of the thoracic elastic coefficient is equal to the thoracic elastic coefficient of the currently compressed patient;

[0020] If the result of judging whether the measured value of the thoracic elastic coefficient meets the preset condition during the chest compression of the currently compressed patient is always not satisfied, the intervention value of the thoracic elastic coefficient is equal to a pre-stored reference value of the thoracic elastic coefficient.

[0021] Combined with the first aspect of the present application, in an alternative embodiment,

[0022] Determining whether the currently measured thoracic elasticity coefficient meets a preset condition includes:

[0023] Determining whether the gap between the currently measured thoracic elasticity coefficient and the pre-stored reference value of the thoracic elasticity coefficient meets a preset condition.

[0024] Combined with the first aspect of the present application, in an alternative embodiment, determining whether the lateral acceleration in the acceleration data meets a preset requirement includes:

[0025] Determining the variation law of the pressure data;

[0026] Determining whether there is a variation law in the lateral acceleration;

[0027] Based on the correspondence between the variation law of the pressure data and the variation law of the lateral acceleration, determining whether the lateral acceleration in the acceleration data meets a preset requirement.

[0028] Combined with the first aspect of the present application, in an alternative embodiment,

[0029] Determining the variation law of the pressure data includes: determining the frequency of variation of the pressure data;

[0030] Determining whether there is a variation law in the lateral acceleration includes: determining the frequency of variation of the lateral acceleration;

[0031] Based on the correspondence between the variation law of the pressure data and the variation law of the lateral acceleration, determining whether the lateral acceleration in the acceleration data meets a preset requirement includes: if the frequency of variation of the pressure data is the same as or partially the same as the frequency of variation of the lateral acceleration, then the lateral acceleration in the acceleration data meets a preset requirement; otherwise, it does not meet a preset requirement.

[0032] Combined with the first aspect of the present application, in an alternative embodiment, determining the measured value of the thoracic elasticity coefficient of the pressed patient is to determine the equivalent thoracic elasticity coefficient measured value of the pressed patient; wherein,

[0033] Determining the equivalent thoracic elasticity coefficient measured value of the pressed patient includes: determining the maximum pressure value in the pressure data and the maximum pressing depth value in the pressing depth within a preset time period, and determining the ratio of the maximum pressure value to the maximum pressing depth value as the equivalent thoracic elasticity coefficient measured value.

[0034] Combined with the first aspect of the present application, in an alternative embodiment, determining the measured value of the thoracic elasticity coefficient of the pressed patient is to determine the real-time thoracic elasticity coefficient measured value of the pressed patient; wherein,

[0035] Determining the real-time thoracic cavity elastic coefficient measurement value of the patient being pressed includes: determining the ratio of the derivative value of the pressure data with respect to time to the derivative value of the pressing depth with respect to time as the real-time thoracic cavity elastic coefficient measurement value.

[0036] Combined with the first aspect of the present application, in an alternative embodiment, the method further includes:

[0037] Determining a corresponding analysis result according to the real-time thoracic cavity elastic coefficient measurement value;

[0038] Providing feedback information to the user according to the corresponding analysis result.

[0039] In a second aspect, an embodiment of the present application provides a device for determining chest compression parameters, including:

[0040] A data acquisition module, configured to acquire pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor;

[0041] A data processing module, configured to determine the pressing depth according to the acceleration data; and determine the real-time thoracic cavity elastic coefficient measurement value of the patient being pressed according to the pressure data and the pressing depth.

[0042] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores instructions, and when the instructions are executed by a processor of an electronic device, the electronic device can execute the method for determining chest compression parameters provided in any one of the above first aspects.

[0043] In a fourth aspect, an embodiment of the present application provides an electronic device, where the electronic device includes:

[0044] A processor;

[0045] A memory for storing computer-executable instructions;

[0046] The processor is configured to execute the computer-executable instructions to implement the method for determining chest compression parameters described in any one of the above first aspects.

[0047] The method and device for determining chest compression parameters provided by the embodiments of the present application, storage medium and electronic device obtain pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor; determine the compression depth according to the acceleration data; and determine the measured value of the thoracic elastic coefficient of the patient being compressed according to the pressure data and the compression depth. In this way, the thoracic condition of the patient can be reflected to a certain extent, providing a basis for treatment. When the patient is in an inappropriate cardiopulmonary resuscitation environment, the measurement of the thoracic elastic coefficient can also help determine chest compression parameters, especially the compression depth, which is beneficial to accurately feedback chest compression information.

[0048] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The drawings described herein are used to provide a further understanding of the present application, and constitute a part of the present application. The schematic embodiments and descriptions thereof of the present application are used to explain the present application, and do not constitute an improper limitation of the present application. In the drawings:

[0050] Figure 1 is a schematic hardware structure diagram of a chest compression feedback device adopted in an embodiment of the present application;

[0051] Figure 2a and Figure 2b is a schematic diagram of the usage scenario of the chest compression feedback device;

[0052] Figure 3 is a schematic flowchart of the method for determining chest compression parameters provided by an embodiment of the present application;

[0053] Figure 4 is a structural block diagram of the device for determining chest compression parameters provided by an embodiment of the present application;

[0054] Figure 5 is a structural block diagram of the electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] To make the technical solutions and beneficial effects of the present invention more obvious and understandable, the following will be described in detail by way of specific embodiments. Among them, the drawings are not necessarily drawn to scale, and local features can be enlarged or reduced to more clearly show the details of the local features. Unless otherwise defined, the technical and scientific terms used herein have the same meanings as those in the technical field to which the present application belongs.

[0056] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meanings understood by those with ordinary skills in the technical field to which this application belongs. In this application, words such as "a", "an", "one kind", "the", "these", etc. do not indicate a limitation in quantity, and they can be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent in these processes, methods, products or devices. The "plurality" involved in this application means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, and B exists alone. The terms "first", "second", "third", etc. involved in this application only distinguish similar objects and do not represent a specific order for the objects.

[0057] The method embodiments provided in this application can be executed on a terminal, a computer or a similar computing device. For example, it can be executed on an external chest compression feedback device, and the structure of the external chest compression feedback device can refer to Figure 1 , and the usage scenarios of the external chest compression feedback device can refer to Figure 2a and Figure 2b . As shown in the figure, the patient lies supine on the ground or is padded under the shoulders and back with an external chest compression board. The rescuer can adopt different postures such as kneeling on one side of the patient's body. The rescuer places the external chest compression feedback device 100 above the patient's chest cavity, and places both hands on the external chest compression feedback instrument 100 to perform bare-handed cardiopulmonary resuscitation. The rescuer should try to ensure continuous and effective external chest compressions, quickly and forcefully, without interruption in the middle.

[0058] The actual situation of external chest compressions is often complex and diverse. For example, the physical conditions of patients are different, and the same pressure magnitude has different effects on different patients; for another example, the environments where patients are located are different. If the patient lies on a soft bed, the rescuer can apply a relatively small pressure to produce a relatively large displacement. However, part of the displacement is caused by the compression of the soft bed and cannot truly reflect the deformation of the chest cavity; if the patient lies in an ambulance, the movement of the ambulance will also affect the measurement results of the external chest compression feedback instrument 100.

[0059] Based on this, an embodiment of the present application proposes a method for determining chest compression parameters. The method uses a pressure sensor and an acceleration sensor to collect pressure data and acceleration data respectively, and then calculates the thoracic elasticity coefficient of the patient, providing reference information for the feedback of chest compression information.

[0060] Figure 3 FIG. is a schematic flowchart of the method for determining chest compression parameters provided in this embodiment. As shown in the figure, the method includes:

[0061] Step 301, obtain the pressure data collected by the pressure sensor and the acceleration data collected by the acceleration sensor;

[0062] Step 302, determine the compression depth according to the acceleration data;

[0063] Step 303, determine the measured value of the thoracic elasticity coefficient of the patient being compressed according to the pressure data and the compression depth.

[0064] It can be understood that in this embodiment, the pressure data and the acceleration data are collected by the pressure sensor and the acceleration sensor respectively, and then the thoracic elasticity coefficient of the patient being compressed is obtained through calculation. In this way, the thoracic condition of the patient can be reflected to a certain extent, providing a basis for treatment; when the patient is in an inappropriate cardiopulmonary resuscitation environment, the measurement of the thoracic elasticity coefficient can also help to determine the chest compression parameters, especially the compression depth, which is beneficial to accurately feedback the chest compression information.

[0065] Please continue to refer to Figure 1, the chest compression feedback device 100 may include: a housing 170, a pressure sensor 110, an acceleration sensor 120, a processing unit 130, a storage unit 140, a feedback unit 160, etc. Among them, the housing 170 encapsulates each component inside, protects each component from damage, and makes the whole device easy to carry. The pressure sensor 110 is configured to collect pressure data; the pressure data reflects the magnitude of the pressing force applied by the rescuer at each collection moment. The acceleration sensor 120 is configured to collect acceleration data; the acceleration data reflects the change in the sternum acceleration on the chest surface of the patient at each collection moment, including the depression acceleration caused by chest compression and the rebound acceleration during the chest rebound period, etc. The processing unit 130 is configured to obtain the pressure data collected by the pressure sensor 110 and the acceleration data collected by the acceleration sensor 120, and determine the time node and calculate the quality parameter according to the obtained pressure data and acceleration data. The processing unit 130 instructs the feedback unit 160 to provide feedback information to the user according to the calculated quality parameter. Of course, the processing unit 130 can also transmit the quality parameter to an external device, such as a computer or other medical device, etc., to provide feedback information to the user through the external device; the external device can provide the feedback message to the user located at a distance in real time, or can perform data storage and / or analysis, etc., for later review of the actions taken during the rescue period. The feedback unit 160 completes the specific information feedback work under the instruction of the processing unit 130. Here, the feedback work performed by the feedback unit 160 helps to provide notifications, instructions, and / or reminders to the user; the feedback unit 160 can provide feedback in any suitable form, including but not limited to: visual feedback, such as feedbacking different information contents to the user by the lighting / turning off, flashing, different colors, etc. of the indicator light, or by displaying relevant information on the display screen; sound feedback, such as reminder sounds, voice instructions; tactile feedback, such as vibration, etc.

[0066] Among them, the clock of the pressure sensor 110 collecting pressure data and the acceleration sensor 120 collecting acceleration data is synchronized, or the collection processes of the two use the same clock for recording. The time of collecting data approaches real-time collection. According to the collected pressure data, acceleration data and the time of collecting data, a pressure change curve and an acceleration change curve can be obtained. Further, a displacement change curve and / or a velocity change curve can also be obtained according to the collected acceleration data and the time of collecting data.

[0067] As an alternative implementation, step 302 specifically includes: determining the starting time point of the current external chest compression and the corresponding ending time point of the compression descent period according to the pressure data and the acceleration data; determining the current compression descent period and the duration of the compression descent period according to the starting time point of the compression and the corresponding ending time point of the compression descent period; and determining the current compression depth according to the acceleration data during the current compression descent period and the duration of the current compression descent period.

[0068] Each time node during external chest compression, for example, includes at least one of the following: the starting time point of the compression (denoted as t0), the ending time point of the compression descent period (denoted as t1), the starting time point of the chest cavity rebound (denoted as t2), and the ending time point of the chest cavity rebound ascending period (denoted as t3); it can be understood that since the external chest compression process generally includes multiple compressions, under normal circumstances, from the start of each compression to the start of the next compression is regarded as a compression cycle, or "one compression", then the above time nodes are the time nodes included in the compression cycle of each compression; for the entire external chest compression process, it may specifically include multiple above time nodes, for example, including: the starting time point of the first compression, the ending time point of the compression descent period of the first compression, the starting time point of the chest cavity rebound of the first compression, the ending time point of the chest cavity rebound ascending period of the first compression, the starting time point of the second compression, the ending time point of the compression descent period of the second compression, the starting time point of the chest cavity rebound of the second compression, the ending time point of the chest cavity rebound ascending period of the second compression, the starting time point of the third compression... For ease of description, in this article, "the current" represents any one of the above, "the next" represents the next one that occurs after "the current" and is closest to "the current" in time, "the previous" represents the one that occurs before "the current" and is closest to "the current" in time, and "the most recent" represents the one that is closest to the current moment. Since under normal circumstances, the start of the next compression represents the end of the current compression cycle, therefore, when determining the current compression cycle, it may also be necessary to use the starting time point of the next compression; here, the starting time point of the next compression is denoted as t4.

[0069] As an alternative implementation, determining the starting time point of the current external chest compression and the corresponding ending time point of the compression descent period according to the pressure data and the acceleration data includes: determining the starting time point of the compression as the time point when the pressure data changes from a trough value of zero or close to zero to a high pressure value that meets the preset conditions; and specifically determining the ending time point of the compression descent period as the time point when the pressure data is a high pressure value that meets the preset conditions and the velocity data obtained by processing the acceleration data changes from a positive velocity to zero.

[0070] Here, considering that if there is a residual pressure between two presses, the pressure data may not drop to zero. In this case, the valley value close to zero is regarded as the situation where no pressure is applied. It should be understood that on the pressure change curve, it is often easy to identify that the pressure data is at the valley value. When the pressure data drops from the high pressure value, gradually approaches zero but rebounds before reaching zero, the minimum value in this process is the valley value close to zero. In addition, in order to reduce the recognition error, the valley value close to zero can also be determined by setting the threshold range of the zero position point. For example, the valley value within the preset threshold range of the zero position point is the valley value close to zero.

[0071] In this way, the start time point t0 of this press and the start time point of the next press, denoted as t4, can both be determined by the above steps.

[0072] During chest compressions, the pressing force applied by the rescuer on the patient's chest generally increases instantaneously, that is, it changes to a high pressure value, which is also easy to identify on the pressure change curve. Further, in order to prevent the device from misidentifying the pressure values generated by non-pressing forces such as leaning and relying as pressing forces, the high pressure value can be determined by setting a high threshold. For example, when the pressure data exceeds the high threshold, it is determined to meet the preset conditions, and the moment when the pressure data exceeds the high threshold is determined as the time point when it changes to the high pressure value that meets the preset conditions.

[0073] In practical applications, when the pressing pressure monitored by the pressure sensor is higher than the zero position pressure potential and is at a high level, it is recognized as the start time point t0 of this press. This time point is used as the start time point for calculating the pressing depth Dp of the depression acceleration caused by the subsequent chest compression.

[0074] In the embodiments of the present application, the direction of applying the pressing force is defined as the positive direction, and the direction of the chest cavity rebounding is defined as the negative direction. On this basis, it can be understood that the positive velocity refers to the velocity whose direction is the same as the pressing direction; correspondingly, the negative velocity refers to the velocity whose direction is the same as the direction of the chest cavity rebounding.

[0075] In practical applications, when the pressing pressure monitored by the pressure sensor is at a high level and the velocity data obtained by processing the acceleration data changes from the positive velocity to zero, the end time point t1 of the pressing descent period of this press is recognized.

[0076] In this way, the pressing descent period of this press can be obtained as the time interval from t0 to t1, and the duration T1 of the pressing descent period of this press can be calculated as T1 = t1 - t0. According to the acceleration data within the time interval from t0 to t1 and T1, the pressing depth of this press can be determined. In practical applications, the velocity V(t) can be obtained by integrating the acceleration of the pressing descent period within this duration of the pressing descent period, and the specific calculation is carried out using the following formula (1):

[0077]

[0078] On this basis, by performing a second integration on the acceleration of this pressing descent period within the duration of this pressing descent period, the pressing depth Dp of this time can be obtained. Specifically, after calculating the velocity V(t) through the above formula (1), the following formula (2) is then used to integrate the velocity V(t) to obtain the pressing depth Dp:

[0079]

[0080] Among them, the acceleration a is the acceleration after filtering the collected acceleration data. Filtering the acceleration data may specifically include: filtering out the DC signal of the gravitational acceleration g in the acceleration data through high-pass filtering, so as to eliminate the baseline drift caused by detecting the offset of the gravitational acceleration g; it may also include: passing through low-pass filtering to filter out high-frequency interference and / or noise signals.

[0081] In this way, a curve of the pressing depth changing with time can be obtained. In this way, a curve of the pressing speed changing with time can be obtained, which can also be called a "speed change curve"; a curve of the pressing depth changing with time can also be obtained, which can also be called a "displacement change curve".

[0082] By using the following formula (3) for calculation, the thoracic elastic coefficient can be obtained:

[0083] Thoracic elastic coefficient = Pressure / Pressing depth Formula (3)

[0084] As an optional implementation manner, determining the measured value of the thoracic elastic coefficient of the pressed patient includes: determining the measured value of the equivalent thoracic elastic coefficient of the pressed patient, and / or determining the measured value of the real-time thoracic elastic coefficient of the pressed patient.

[0085] Among them, determining the measured value of the equivalent thoracic elastic coefficient of the pressed patient includes: determining the maximum pressure value in the pressure data and the maximum pressing depth value in the pressing depth within a preset time period, and determining the ratio of the maximum pressure value in the pressure data to the maximum pressing depth value in the pressing depth as the measured value of the equivalent thoracic elastic coefficient.

[0086] Here, by dividing the maximum pressure value by the maximum pressing depth value, the measured value of the equivalent thoracic elastic coefficient can be obtained; that is, assuming the thoracic cavity as a linear elastic body, the thoracic elastic coefficient remains unchanged within the pressing range. It can be understood that as the measurement time continuously changes, or depending on the selection of the calculation time period, the measured value of the equivalent thoracic elastic coefficient can also include multiple values; for example, at the current moment, the maximum pressure value on the pressure change curve is P1, and the maximum pressing depth value on the displacement change curve is Dp1, then the measured value of the equivalent thoracic elastic coefficient at this time is P1÷Dp1; after a period of time, a new maximum pressure value P2 appears on the pressure change curve, and obviously P2 is greater than P1, then the measured value of the equivalent thoracic elastic coefficient at this time is P2÷Dp1; or, a new maximum pressing depth value Dp2 appears on the displacement change curve, and obviously Dp2 is greater than Dp1, then the measured value of the equivalent thoracic elastic coefficient at this time is P1÷Dp2; or, after a period of time, the new maximum pressure value on the pressure change curve is P2, and the maximum pressing depth value on the displacement change curve is Dp2, then the measured value of the equivalent thoracic elastic coefficient at this time is P2÷Dp2.

[0087] Here, the preset time period can be one pressing cycle, that is, from t0 to t4. At this time, the measured value of the equivalent thoracic elastic coefficient can be called the measured value of the thoracic elastic coefficient for a single press.

[0088] There may be significant differences in the thoracic elastic coefficients of different individuals. Even for the same person, the actual thoracic elastic coefficient of the human body is not a constant value that remains unchanged. With the growth and change of the human body, the hardness of the sternum may also change. Therefore, the measured value of the equivalent thoracic elastic coefficient helps to reflect the current thoracic elastic situation of the patient.

[0089] In addition, determining the real-time measured value of the thoracic elastic coefficient of the pressed patient includes: determining the ratio of the derivative value of the pressure data with respect to time to the derivative value of the pressing depth with respect to time as the real-time measured value of the thoracic elastic coefficient. For example, if you want to determine the real-time measured value of the thoracic elastic coefficient of the pressed patient at time t n First, determine P according to the pressure change curve n is the pressure at time t n and determine Dp according to the displacement change curve n is the pressing depth at time t n Then, the real-time measured value of the thoracic elastic coefficient at time t n =(dP n / dt)÷(dDp n / dt). It can be understood that the derivative value of the pressure data with respect to time refers to the limit of the quotient of the increment of the dependent variable P and the increment of the independent variable t when the increment of the independent variable t approaches zero; dP n / dt is substantially equal to the slope at time t on the pressure change curve. Correspondingly, the derivative value of the pressing depth with respect to time refers to the limit of the quotient of the increment of the dependent variable Dp and the increment of the independent variable t when the increment of the independent variable t tends to zero; dDp n / dt is substantially equal to the slope at time t on the displacement change curve. n / dt is substantially equal to the slope at time t on the displacement change curve. n at that point.

[0090] Here, by dividing the derivative of pressure with respect to time by the derivative of displacement with respect to time, the measured value of the real-time thoracic elastic coefficient can be obtained; that is, without assuming the thorax as a linear elastic body, real-time data of the thoracic elastic coefficient can also be obtained.

[0091] Moreover, as the pressing depth changes, the thoracic elastic coefficient of the human body also changes at any time. The measured value of the real-time thoracic elastic coefficient helps to understand the real-time condition of the patient's sternum, such as judging whether it has been damaged by external force, whether the sternum has fractures, breaks, lung collapse, etc. If the measured value of the real-time thoracic elastic coefficient changes suddenly, it can be fed back to the user and a reminder can be issued.

[0092] In practical applications, the above method further includes: determining a corresponding analysis result according to the measured value of the real-time thoracic elastic coefficient; providing feedback information to the user according to the corresponding analysis result. Here, the analysis result is, for example, analyzing whether the patient has sternal injury, etc. In this way, it is beneficial to judge emergencies, such as timely feedback of the situation of sternal fractures.

[0093] In practical applications, the measured value of the equivalent thoracic elastic coefficient and the measured value of the real-time thoracic elastic coefficient can be stored and / or transmitted, which is beneficial to analyze the physical condition of the patient. For example, the softness and hardness of the patient's sternum can be reflected by the measured value of the thoracic elastic coefficient; the lower the measured value of the thoracic elastic coefficient, the softer the sternum, and thus the required deformation can occur under the application of a relatively small pressure; on the contrary, the higher the measured value of the thoracic elastic coefficient, the harder the sternum, and a greater pressing pressure is required to achieve the required pressing depth. In addition, there are certain differences in the thoracic elastic coefficients of different groups. Recording the measured values of the thoracic elastic coefficients of multiple patients will also have statistical significance. For example, the proportion of the population with thoracic elastic coefficients in different value ranges among the Chinese population can be obtained; it can be understood that the reference value of the thoracic elastic coefficient can also be corrected based on the obtained measured values of the thoracic elastic coefficient.

[0094] As an optional implementation manner, the method further includes: determining a pressing depth correction value according to the measured value of the thoracic elastic coefficient.

[0095] Optionally, determine whether the currently measured thoracic elasticity coefficient meets a preset condition; if not, determine a corrected compression depth value based on the ratio of the measured thoracic elasticity coefficient to the intervention value of the thoracic elasticity coefficient and the compression depth.

[0096] Here, the currently measured thoracic elasticity coefficient not meeting the preset condition can be understood as the currently measured thoracic elasticity coefficient being significantly incorrect and not belonging to the normal range of human thoracic elasticity coefficients.

[0097] Specifically, determining whether the currently measured thoracic elasticity coefficient meets a preset condition may include: determining whether the difference between the currently measured thoracic elasticity coefficient and a pre-stored reference value of the thoracic elasticity coefficient meets a preset condition. Among them, the preset condition is, for example, set to more than 50% deviation from the reference value of the thoracic elasticity coefficient; of course, this application is not limited to this.

[0098] It should be understood that the reference value of the thoracic elasticity coefficient can be pre-stored in the device for determining chest compression parameters by the device engineer or by the user, and its specific value can be determined according to statistical data or empirical values. Among them, the currently measured thoracic elasticity coefficient can specifically be the currently measured equivalent thoracic elasticity coefficient, rather than the real-time thoracic elasticity coefficient. In other words, determining whether the currently measured thoracic elasticity coefficient meets a preset condition is specifically determining whether the currently measured equivalent thoracic elasticity coefficient meets a preset condition.

[0099] Further, in the step of determining the corrected compression depth value based on the measured thoracic elasticity coefficient, the measured equivalent thoracic elasticity coefficient can be selected.

[0100] After obtaining the corrected compression depth value, this corrected compression depth value can be output as an output value so that the user can obtain a compression depth closer to the actual situation.

[0101] Optionally, determine whether the currently measured thoracic elasticity coefficient meets a preset condition; if it meets, it means that the currently measured thoracic elasticity coefficient is the thoracic elasticity coefficient of a normal patient being pressed, and the thoracic elasticity coefficient of the currently pressed patient can be determined based on the currently measured thoracic elasticity coefficient.

[0102] Specifically, the currently measured thoracic elasticity coefficient can be recorded as the thoracic elasticity coefficient of the currently pressed patient; in addition, the average value of multiple currently measured thoracic elasticity coefficients whose determination results are all satisfied can also be determined as the thoracic elasticity coefficient of the currently pressed patient.

[0103] If it is determined that the currently measured thoracic elasticity coefficient meets the preset condition, there is no need to correct the compression depth, and the compression depth determined based on the acceleration data described above can be output as an output value.

[0104] The intervention value of the thoracic cavity elastic coefficient can be determined through the following steps: If, during the external chest compression of the currently pressed patient, the result of determining whether the measured value of the thoracic cavity elastic coefficient meets the preset condition is satisfied at least once, then the thoracic cavity elastic coefficient of the currently pressed patient is determined according to the measured value of the thoracic cavity elastic coefficient corresponding to the satisfied result, and the intervention value of the thoracic cavity elastic coefficient is equal to the thoracic cavity elastic coefficient of the currently pressed patient; If the result of determining whether the measured value of the thoracic cavity elastic coefficient meets the preset condition is always not satisfied during the external chest compression of the currently pressed patient, then the intervention value of the thoracic cavity elastic coefficient is equal to the pre-stored reference value of the thoracic cavity elastic coefficient.

[0105] It can be understood that if it is detected that the thoracic cavity elastic coefficient is significantly small, it can be basically determined that at this time, the compression is performed on a soft compressible surface (such as on a soft bed), that is, the compression depth is relatively deep and the pressure is relatively small. In this case, the measured value of the thoracic cavity elastic coefficient is inaccurate, and it is necessary to determine the correction value of the compression depth in proportion to the intervention value of the thoracic cavity elastic coefficient, and use the correction value of the compression depth as the output value for output, so that the user can obtain a compression depth closer to the actual situation.

[0106] For example, if the measured value of the thoracic cavity elastic coefficient obtained by detection is 5 N / mm, and the determined intervention value of the thoracic cavity elastic coefficient is 10 N / mm, then the intervention value of the thoracic cavity elastic coefficient of 10 N / mm is used for correction calculation, and it is determined that the correction value of the compression depth is equal to the compression depth determined according to the acceleration data * 5 N / mm ÷ 10 N / mm.

[0107] For the case where external chest compression has been carried out on a soft bed, the result of determining whether the measured value of the thoracic cavity elastic coefficient meets the preset condition during the external chest compression will always be not satisfied. In this case, the pre-stored reference value of the thoracic cavity elastic coefficient is directly used to correct the compression depth; For the case where the patient is lifted from the flat ground to a soft bed during external chest compression (of course, this application does not exclude the patient being lifted from a soft bed to the flat ground), there will be at least one preset time range during the external chest compression in which the measured value of the thoracic cavity elastic coefficient meets the preset condition. Then, the intervention value of the thoracic cavity elastic coefficient can be determined according to the measured value of the thoracic cavity elastic coefficient within this preset time range, so as to determine the correction value of the compression depth.

[0108] As an optional implementation manner, the above method further includes: determining whether the lateral acceleration in the acceleration data meets the preset requirements; If not, then according to the pressure data and the intervention value of the thoracic cavity elastic coefficient, the correction value of the compression depth is determined.

[0109] Among them, the intervention value of the thoracic cavity elastic coefficient can be determined by the steps described above. And, among them, the current measured value of the thoracic cavity elastic coefficient can specifically be the current equivalent measured value of the thoracic cavity elastic coefficient, rather than the real-time measured value of the thoracic cavity elastic coefficient.

[0110] As an alternative implementation, determining whether the lateral acceleration in the acceleration data meets the preset requirements includes: determining the variation law of the pressure data; determining whether there is a variation law for the lateral acceleration; and judging whether the lateral acceleration in the acceleration data meets the preset requirements according to the correspondence between the variation law of the pressure data and the variation law of the lateral acceleration.

[0111] It can be understood that since multiple compressions are generally performed during external chest compressions, there is a certain variation law for the pressure data. Specifically, at the beginning of each compression cycle, the pressure data first changes to a high pressure value that meets the preset conditions, which corresponds to the stage where the rescuer applies force. Then, the pressure data changes from the high pressure value that meets the preset conditions to a trough value of zero or close to zero, which is the stage where the rescuer removes the pressure and the chest rebounds. If the lateral acceleration also has a variation law and is the same as or at least related to the variation law of the pressure data, then the lateral acceleration may be caused by the rescuer's compression not being strictly along the vertical direction. At this time, it can be considered that the lateral acceleration in the acceleration data meets the preset requirements and there is no need to correct the compression depth. In addition, if there is no lateral acceleration component or only a very small lateral acceleration component in the acceleration data during the compression process (specifically, it can be judged by whether the lateral acceleration component exceeds the preset lateral acceleration component threshold), it should also be considered that the lateral acceleration meets the preset requirements and there is no need to correct the compression depth. On the contrary, if the lateral acceleration component exceeds the preset lateral acceleration component threshold and there is no variation law or there is a variation law but it has no relation to the variation law of the pressure data, it is judged that the lateral acceleration does not meet the preset requirements, and the compression depth determined according to the acceleration data is inaccurate. It is necessary to determine the compression depth correction value according to the pressure data and the thoracic elasticity coefficient intervention value.

[0112] Specifically and optionally, determining the variation law of the pressure data may include: determining the variation frequency of the pressure data; determining whether there is a variation law for the lateral acceleration may include: determining the variation frequency of the lateral acceleration. Based on this, judging whether the lateral acceleration in the acceleration data meets the preset requirements according to the correspondence between the variation law of the pressure data and the variation law of the lateral acceleration includes: if the variation frequency of the pressure data is the same as or partially the same as the variation frequency of the lateral acceleration, then the lateral acceleration in the acceleration data meets the preset requirements; otherwise, it does not meet the preset requirements. Here, the same or partially the same frequency means that their periodicities are the same or partially the same.

[0113] Of course, this application is not limited to this. As an alternative implementation, determining whether the lateral acceleration in the acceleration data meets the preset requirements may also include: determining the lateral displacement based on the acceleration data; determining whether the lateral displacement exceeds a preset threshold; if it exceeds, determining a pressing depth correction value based on the pressure data and the thoracic cavity elastic coefficient intervention value. It can be understood that if there is a lateral displacement exceeding the preset threshold, it can basically indicate that the patient is on a moving device such as an ambulance or a mobile hospital bed, rather than in a stationary state.

[0114] Determining a pressing depth correction value based on the pressure data and the thoracic cavity elastic coefficient intervention value, specifically for example: determining the ratio of the pressure data to the thoracic cavity elastic coefficient intervention value as the pressing depth correction value. And, this pressing depth correction value can be output as an output value.

[0115] When the external chest compression feedback device 100 is in normal use, it is generally placed flat on the patient's chest for compression. During the compression process, there should theoretically be only a very small lateral acceleration component in the acceleration signal. If irregular lateral acceleration (i.e., lateral acceleration different from the compression rhythm) is detected during the compression process, it is determined that the current state is non-stationary. For example, when moving with an ambulance, in this case, the acceleration data measured by the acceleration sensor will not be able to truly reflect the change in the sternum acceleration on the patient's thoracic cavity surface. Therefore, if the pressing depth determined based on the acceleration data is still output as the output value as in the normal state, it will cause the user to be unable to understand the actual pressing depth situation and is prone to misjudgment. At this time, in the embodiment of this application, by determining the pressing depth correction value and outputting this pressing depth correction value as the output value, it is convenient for the user to obtain a pressing depth closer to the actual situation. For example, when there is no lateral acceleration and no lateral displacement, it is considered that the patient has not moved and there is no need to correct the pressing depth; when lateral acceleration is detected, calculate the lateral displacement and determine whether the lateral displacement exceeds a preset threshold. If it exceeds, it is considered that the patient is currently in a non-stationary state, and the pressing depth correction value is determined to be equal to the pressing pressure / thoracic cavity elastic coefficient. Among them, the thoracic cavity elastic coefficient can refer to the foregoing description and will not be elaborated here.

[0116] On this basis, the embodiment of this application also provides a device for determining external chest compression parameters; please refer to Figure 5 , the external chest compression feedback device 100’ includes:

[0117] A data acquisition module 101, configured to acquire pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor;

[0118] A data processing module 102, configured to determine the pressing depth based on the acceleration data; determine a measured value of the thoracic cavity elastic coefficient of the patient being pressed based on the pressure data and the pressing depth.

[0119] Understandably, the external chest compression feedback device 100' here can be the above-mentioned external chest compression feedback device 100, or a part of the above-mentioned external chest compression feedback device 100.

[0120] As an alternative implementation, the data processing module 102 is further configured to determine whether the current measured value of the thoracic cavity elastic coefficient meets a preset condition; if not, determine a corrected value of the compression depth according to the ratio of the measured value of the thoracic cavity elastic coefficient to the intervention value of the thoracic cavity elastic coefficient and the said compression depth.

[0121] As an alternative implementation, the data processing module 102 is further configured to determine whether the lateral acceleration in the acceleration data meets a preset requirement; if not, determine a corrected value of the compression depth according to the pressure data and the intervention value of the thoracic cavity elastic coefficient.

[0122] As an alternative implementation, the data processing module 102 is configured to determine the intervention value of the thoracic cavity elastic coefficient. Specifically, if at least one result of determining whether the measured value of the thoracic cavity elastic coefficient meets a preset condition during the external chest compression of the current patient being compressed is satisfied, determine the thoracic cavity elastic coefficient of the current patient being compressed according to the measured value of the thoracic cavity elastic coefficient corresponding to the satisfied result, and the intervention value of the thoracic cavity elastic coefficient is equal to the thoracic cavity elastic coefficient of the current patient being compressed; if the result of determining whether the measured value of the thoracic cavity elastic coefficient meets a preset condition during the external chest compression of the current patient being compressed is always not satisfied, the intervention value of the thoracic cavity elastic coefficient is equal to the reference value of the thoracic cavity elastic coefficient stored in advance.

[0123] As an alternative implementation, determining whether the current measured value of the thoracic cavity elastic coefficient meets a preset condition includes: determining whether the gap between the current measured value of the thoracic cavity elastic coefficient and the reference value of the thoracic cavity elastic coefficient stored in advance meets a preset condition.

[0124] As an alternative implementation, determining whether the lateral acceleration in the acceleration data meets a preset requirement includes: determining the variation law of the pressure data; determining whether there is a variation law of the lateral acceleration; and determining whether the lateral acceleration in the acceleration data meets a preset requirement according to the corresponding relationship between the variation law of the pressure data and the variation law of the lateral acceleration.

[0125] As an alternative implementation, determining the variation law of pressure data includes: determining the frequency of pressure data variation; determining whether there is a variation law in the lateral acceleration, including: determining the frequency of lateral acceleration variation; judging whether the lateral acceleration in the acceleration data meets the preset requirements according to the corresponding relationship between the variation law of pressure data and the variation law of lateral acceleration, including: if the frequency of pressure data variation is the same as or partially the same as the frequency of lateral acceleration variation, the lateral acceleration in the acceleration data meets the preset requirements; otherwise, it does not meet the preset requirements.

[0126] As an alternative implementation, determining the measured value of the thoracic elastic coefficient of the patient being pressed is to determine the measured value of the equivalent thoracic elastic coefficient of the patient being pressed; wherein, determining the measured value of the equivalent thoracic elastic coefficient of the patient being pressed includes: determining the maximum pressure value in the pressure data and the maximum pressing depth value in the pressing depth within a preset time period, and determining the ratio of the maximum pressure value to the maximum pressing depth value as the measured value of the equivalent thoracic elastic coefficient.

[0127] As an alternative implementation, determining the measured value of the thoracic elastic coefficient of the patient being pressed is to determine the measured value of the real-time thoracic elastic coefficient of the patient being pressed; wherein, determining the measured value of the real-time thoracic elastic coefficient of the patient being pressed includes: determining the ratio of the derivative value of the pressure data with respect to time to the derivative value of the pressing depth with respect to time as the measured value of the real-time thoracic elastic coefficient.

[0128] As an alternative implementation, the data processing module 102 is further configured to determine the corresponding analysis result according to the measured value of the real-time thoracic elastic coefficient, and provide feedback information to the user according to the corresponding analysis result. The external chest compression feedback device 100' further includes: a feedback module 103, configured to provide the corresponding feedback information under the control of the data processing module 102.

[0129] The embodiment of the present application further provides a computer-readable storage medium. The computer-readable storage medium stores instructions, and when the instructions are executed by a processor of an electronic device, the electronic device can execute the steps in the method for determining the external chest compression parameters in any of the above embodiments.

[0130] Embodiments of the present application may be a system, a method, and / or a computer program product. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for causing a processor to implement various aspects of the present application. The computer program product may be written in any combination of one or more programming languages for performing the operations of the embodiments of the present application. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, executed as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computer, the remote computer may be connected to the user computer through any kind of network - including a local area network (LAN) or a wide area network (WAN) - or, alternatively, may be connected to an external computer (e.g., via an Internet service provider through the Internet). In some embodiments, by using the status information of the computer-readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer-readable program instructions to implement various aspects of the present application.

[0131] The computer-readable storage medium may be any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. A computer-readable storage medium is a tangible device that can retain and store instructions for use by an instruction execution device. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punched card or raised structures in a groove having instructions stored thereon, and any suitable combination of the above. The computer-readable storage medium used herein is not construed as being an instantaneous signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagated through a waveguide or other transmission medium (e.g., an optical pulse through an optical fiber cable), or an electrical signal transmitted through a wire.

[0132] The computer-readable program instructions described herein can be downloaded to various computing / processing devices from a computer-readable storage medium or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0133] Aspects of the present application are described herein with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.

[0134] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine such that when the instructions are executed by the processor of the computer or other programmable data processing device, a device is produced that implements the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, which causes a computer, a programmable data processing device, and / or other devices to operate in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured article that includes instructions for implementing various aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0135] The computer-readable program instructions can also be loaded onto a computer, other programmable data processing device, or other device, such that a series of operational steps are performed on the computer, other programmable data processing device, or other device to produce a computer-implemented process, so that the instructions executed on the computer, other programmable data processing device, or other device implement the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0136] Embodiments of the present application also provide an electronic device. Figure 5 The following shows a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in the figure, the electronic device 500 includes: one or more processors 501 and a memory 502; computer-executable instructions are stored in the memory 502; the processor 501 is configured to execute the computer-executable instructions to implement the steps in the method for determining chest compression parameters in any of the above embodiments.

[0137] The processor 501 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0138] The memory 502 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 1501 may run the program instructions to implement the steps in the text recognition method of each embodiment of the present application above and / or other desired functions.

[0139] In one example, the electronic device 500 may further include: an input device and an output device, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown in the figure).

[0140] In addition, the input device may further include, for example, a keyboard, a mouse, a microphone, etc. The output device may output various information to the outside, and may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0141] Of course, for simplicity, Figure 5 only a part of the components related to the present application in the electronic device 500 is shown, and components such as a bus, an input device / output interface, etc. are omitted. In addition, according to specific application scenarios, the electronic device 500 may further include any other appropriate components.

[0142] It should be noted that the embodiments of the method for determining chest compression parameters, the embodiments of the device for determining chest compression parameters, the embodiments of the computer-readable storage medium, and the embodiments of the electronic device provided by the embodiments of the present application belong to the same concept; among the technical features in the technical solutions recorded in each embodiment, they can be arbitrarily combined without conflict.

[0143] It should be understood that the above embodiments are all exemplary and do not cover all possible implementation manners included in the claims. Without departing from the scope of the present disclosure, various deformations and changes can be made based on the above embodiments. Similarly, the technical features of the above embodiments can be arbitrarily combined to form additional embodiments of the present invention that may not be clearly described. Therefore, the above embodiments only represent several implementation manners of the present invention and do not limit the protection scope of the present invention patent.

Claims

1. A device for determining parameters of external chest compression, characterized in that Including: A data acquisition module, configured to acquire pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor; A data processing module, configured to determine a pressing depth according to the acceleration data; and determine a measurement value of the thoracic elastic coefficient of the pressed patient according to the pressure data and the pressing depth; It is further configured to determine whether the current measurement value of the thoracic elastic coefficient meets a preset condition; If not, determine a pressing depth correction value according to the ratio of the measurement value of the thoracic elastic coefficient to the intervention value of the thoracic elastic coefficient and the pressing depth; wherein, the intervention value of the thoracic elastic coefficient is determined through the following steps: if at least one result of determining whether the measurement value of the thoracic elastic coefficient meets the preset condition during the external chest compression of the current pressed patient is satisfied, then determine the thoracic elastic coefficient of the current pressed patient according to the measurement value of the thoracic elastic coefficient corresponding to the satisfied result, and the intervention value of the thoracic elastic coefficient is equal to the thoracic elastic coefficient of the current pressed patient; If the result of determining whether the measurement value of the thoracic elastic coefficient meets the preset condition during the external chest compression of the current pressed patient is always not satisfied, then the intervention value of the thoracic elastic coefficient is equal to a pre-stored reference value of the thoracic elastic coefficient.

2. The determination device for the chest compression parameters according to claim 1, characterized in that, The data processing module is further configured to: Determine whether the lateral acceleration in the acceleration data meets a preset requirement; If not, determine a pressing depth correction value according to the pressure data and the intervention value of the thoracic elastic coefficient.

3. The determining device for the chest compression parameters according to claim 1, wherein The determination of whether the current measurement value of the thoracic elastic coefficient meets the preset condition includes: Determine whether the gap between the current measurement value of the thoracic elastic coefficient and the pre-stored reference value of the thoracic elastic coefficient meets the preset condition.

4. The determination device for the chest compression parameters according to claim 2, wherein The determination of whether the lateral acceleration in the acceleration data meets the preset requirement includes: Determine the variation law of the pressure data; Determine whether there is a variation law in the lateral acceleration; Judge whether the lateral acceleration in the acceleration data meets the preset requirement according to the corresponding relationship between the variation law of the pressure data and the variation law of the lateral acceleration.

5. The determination device for the chest compression parameters according to claim 4, characterized in that, Wherein, The determination of the variation law of the pressure data includes: determining the frequency of the change of the pressure data; The determination of whether there is a variation law in the lateral acceleration includes: determining the frequency of the change of the lateral acceleration; The judgment of whether the lateral acceleration in the acceleration data meets the preset requirement according to the corresponding relationship between the variation law of the pressure data and the variation law of the lateral acceleration includes: if the frequency of the change of the pressure data is the same as or partially the same as the frequency of the change of the lateral acceleration, then the lateral acceleration in the acceleration data meets the preset requirement; otherwise, it does not meet the preset requirement.

6. The determining device for the parameters of external chest compression according to claim 1 or 2, characterized in that The determination of the measurement value of the thoracic elastic coefficient of the pressed patient is to determine the equivalent measurement value of the thoracic elastic coefficient of the pressed patient; wherein, The determination of the measured value of the equivalent thoracic elastic coefficient of the pressed patient includes: determining the maximum pressure value in the pressure data and the maximum pressing depth value in the pressing depth within a preset time period, and determining the ratio of the maximum pressure value to the maximum pressing depth value as the measured value of the equivalent thoracic elastic coefficient.

7. The determination device for the chest compression parameters according to claim 1, wherein The determination of the measured value of the thoracic elastic coefficient of the pressed patient is to determine the real-time measured value of the thoracic elastic coefficient of the pressed patient; wherein, The determination of the real-time measured value of the thoracic elastic coefficient of the pressed patient includes: determining the ratio of the derivative value of the pressure data with respect to time to the derivative value of the pressing depth with respect to time as the real-time measured value of the thoracic elastic coefficient.

8. The determining device for the parameters of external chest compression according to claim 7, wherein The data processing module is further configured to: Determine a corresponding analysis result according to the real-time measured value of the thoracic elastic coefficient; Provide feedback information to the user according to the corresponding analysis result.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, which when executed by a processor of an electronic device, enable the electronic device to execute: Obtain pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor; Determine the pressing depth according to the acceleration data; Determine the measured value of the thoracic elastic coefficient of the pressed patient according to the pressure data and the pressing depth; Judge whether the current measured value of the thoracic elastic coefficient meets a preset condition; If not, determine a pressing depth correction value according to the ratio of the measured value of the thoracic elastic coefficient to the thoracic elastic coefficient intervention value and the pressing depth; Wherein, the thoracic elastic coefficient intervention value is determined through the following steps: If at least one result of judging whether the measured value of the thoracic elastic coefficient meets the preset condition during the external chest compression of the current pressed patient is satisfied, determine the thoracic elastic coefficient of the current pressed patient according to the measured value of the thoracic elastic coefficient corresponding to the satisfied result, and the thoracic elastic coefficient intervention value is equal to the thoracic elastic coefficient of the current pressed patient; If the result of judging whether the measured value of the thoracic elastic coefficient meets the preset condition during the external chest compression of the current pressed patient is always not satisfied, the thoracic elastic coefficient intervention value is equal to the pre-stored thoracic elastic coefficient reference value.

10. The computer-readable storage medium according to claim 9, wherein When the instructions are executed by a processor of an electronic device, the electronic device is further enabled to execute: Judge whether the lateral acceleration in the acceleration data meets a preset requirement; If not, determine a pressing depth correction value according to the pressure data and the thoracic elastic coefficient intervention value.

11. The computer-readable storage medium according to claim 9, wherein The judgment of whether the current measured value of the thoracic elastic coefficient meets the preset condition includes: Judging whether the gap between the current measured value of the thoracic elastic coefficient and the pre-stored thoracic elastic coefficient reference value meets the preset condition.

12. The computer-readable storage medium according to claim 10, wherein The judgment of whether the lateral acceleration in the acceleration data meets the preset requirement includes: Determine the variation law of the pressure data; Determine whether there is a variation law in the lateral acceleration; Judge whether the lateral acceleration in the acceleration data meets the preset requirement according to the corresponding relationship between the variation law of the pressure data and the variation law of the lateral acceleration.

13. The computer-readable storage medium according to claim 12, wherein Among them, determining the variation law of the pressure data includes: determining the frequency of variation of the pressure data; determining whether there is a variation law of the lateral acceleration includes: determining the frequency of variation of the lateral acceleration; judging whether the lateral acceleration in the acceleration data meets a preset requirement according to the correspondence relationship between the variation law of the pressure data and the variation law of the lateral acceleration includes: if the frequency of variation of the pressure data is the same as or partially the same as the frequency of variation of the lateral acceleration, the lateral acceleration in the acceleration data meets the preset requirement; otherwise, it does not meet the preset requirement.

14. The computer-readable storage medium according to claim 9 or 10, characterized in that, determining the measured value of the thoracic elastic coefficient of the pressed patient is to determine the measured value of the equivalent thoracic elastic coefficient of the pressed patient; among them, determining the measured value of the equivalent thoracic elastic coefficient of the pressed patient includes: determining the maximum pressure value in the pressure data and the maximum pressing depth value in the pressing depth within a preset time period, and determining the ratio of the maximum pressure value to the maximum pressing depth value as the measured value of the equivalent thoracic elastic coefficient.

15. The computer-readable storage medium according to claim 9, wherein determining the measured value of the thoracic elastic coefficient of the pressed patient is to determine the measured value of the real-time thoracic elastic coefficient of the pressed patient; among them, determining the measured value of the real-time thoracic elastic coefficient of the pressed patient includes: determining the ratio of the derivative value of the pressure data with respect to time to the derivative value of the pressing depth with respect to time as the measured value of the real-time thoracic elastic coefficient.

16. The computer-readable storage medium according to claim 15, wherein When the instruction is executed by the processor of the electronic device, it enables the electronic device to further execute: determining a corresponding analysis result according to the measured value of the real-time thoracic elastic coefficient; providing feedback information to the user according to the corresponding analysis result.

17. An electronic device, characterized in that, The electronic device includes: a processor; a memory for storing computer-executable instructions; the processor is used to execute the computer-executable instructions to implement the following steps: acquiring pressure data collected by a pressure sensor and acceleration data collected by an acceleration sensor; determining the pressing depth according to the acceleration data; determining the measured value of the thoracic elastic coefficient of the pressed patient according to the pressure data and the pressing depth; judging whether the current measured value of the thoracic elastic coefficient meets a preset condition; if not, determining a pressing depth correction value according to the ratio of the measured value of the thoracic elastic coefficient to the thoracic elastic coefficient intervention value and the pressing depth; wherein, the thoracic elastic coefficient intervention value is determined through the following steps: if at least one result of judging whether the measured value of the thoracic elastic coefficient meets a preset condition during the external chest compression of the current pressed patient is satisfied, determining the thoracic elastic coefficient of the current pressed patient according to the measured value of the thoracic elastic coefficient corresponding to the satisfied result, and the thoracic elastic coefficient intervention value is equal to the thoracic elastic coefficient of the current pressed patient; if the result of judging whether the measured value of the thoracic elastic coefficient meets a preset condition during the external chest compression of the current pressed patient is always not satisfied, the thoracic elastic coefficient intervention value is equal to a pre-stored thoracic elastic coefficient reference value.

18. The electronic device according to claim 17, characterized in that, It also implements the following steps: Determine whether the lateral acceleration in the acceleration data meets the preset requirements; If not, determine the pressing depth correction value according to the pressure data and the thoracic cavity elastic coefficient intervention value.

19. The electronic device according to claim 17, characterized in that, The determination of whether the current measured value of the thoracic cavity elastic coefficient meets the preset conditions includes: Determine whether the gap between the current measured value of the thoracic cavity elastic coefficient and the pre-stored reference value of the thoracic cavity elastic coefficient meets the preset conditions.

20. The electronic device according to claim 18, characterized in that, The determination of whether the lateral acceleration in the acceleration data meets the preset requirements includes: Determine the variation law of the pressure data; Determine whether there is a variation law in the lateral acceleration; According to the correspondence between the variation law of the pressure data and the variation law of the lateral acceleration, determine whether the lateral acceleration in the acceleration data meets the preset requirements.

21. The electronic device according to claim 20, wherein, Wherein, The determination of the variation law of the pressure data includes: determining the frequency of the change of the pressure data; The determination of whether there is a variation law in the lateral acceleration includes: determining the frequency of the change of the lateral acceleration; The determination of whether the lateral acceleration in the acceleration data meets the preset requirements according to the correspondence between the variation law of the pressure data and the variation law of the lateral acceleration includes: if the frequency of the change of the pressure data is the same as or partially the same as the frequency of the change of the lateral acceleration, the lateral acceleration in the acceleration data meets the preset requirements; otherwise, it does not meet the preset requirements.

22. The electronic device according to claim 17 or 18, characterized in that, The determination of the measured value of the thoracic cavity elastic coefficient of the patient being pressed is to determine the equivalent measured value of the thoracic cavity elastic coefficient of the patient being pressed; wherein, The determination of the equivalent measured value of the thoracic cavity elastic coefficient of the patient being pressed includes: determining the maximum pressure value in the pressure data and the maximum pressing depth value in the pressing depth within a preset time period, and determining the ratio of the maximum pressure value to the maximum pressing depth value as the equivalent measured value of the thoracic cavity elastic coefficient.

23. The electronic device according to claim 17, characterized in that, The determination of the measured value of the thoracic cavity elastic coefficient of the patient being pressed is to determine the real-time measured value of the thoracic cavity elastic coefficient of the patient being pressed; wherein, The determination of the real-time measured value of the thoracic cavity elastic coefficient of the patient being pressed includes: determining the ratio of the derivative value of the pressure data with respect to time to the derivative value of the pressing depth with respect to time as the real-time measured value of the thoracic cavity elastic coefficient.

24. The electronic device according to claim 23, wherein The following steps are also implemented: Determine the corresponding analysis result according to the real-time measured value of the thoracic cavity elastic coefficient; Provide feedback information to the user according to the corresponding analysis result.

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