CN115089155A

CN115089155A - Cardiopulmonary resuscitation parameter monitoring method and cardiopulmonary resuscitation monitoring device

Info

Publication number: CN115089155A
Application number: CN202210754966.9A
Authority: CN
Inventors: 丁衍; 何润宝
Original assignee: Suzhou Shengze Medical Technology Co ltd
Current assignee: Suzhou Shengze Medical Technology Co ltd
Priority date: 2022-06-30
Filing date: 2022-06-30
Publication date: 2022-09-23

Abstract

The embodiment of the application provides a cardiopulmonary resuscitation parameter monitoring method and a cardiopulmonary resuscitation monitoring device, wherein the method comprises the following steps: if the port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, acquiring blood flow parameters based on the blood flow detection module; if the port of the cardiopulmonary resuscitation monitoring device is connected with a pulse detection module and an external chest compression movement parameter detection module, acquiring a pulse signal based on the pulse detection module and acquiring a movement parameter based on the external chest compression movement parameter detection module, and determining a blood flow parameter according to a pulse waveform and the movement parameter; outputting a blood flow parameter; therefore, the monitoring of the blood flow parameters of the patient is ensured to be carried out smoothly, and the monitoring flexibility, timeliness and continuity are improved.

Description

Cardiopulmonary resuscitation parameter monitoring method and cardiopulmonary resuscitation monitoring device

Technical Field

The invention relates to the field of medical monitoring, in particular to a cardiopulmonary resuscitation parameter monitoring method and a cardiopulmonary resuscitation monitoring device.

Background

Cardiopulmonary Resuscitation (CPR) is a life-saving technique for the arrest of the heart and respiration, and aims to restore spontaneous respiration and spontaneous circulation to the patient.

In the early period, in the process of manual chest compression or mechanical chest compression, a continuous detection means is not used for monitoring and feeding back the rescue effect of cardiopulmonary resuscitation, and the patient can be compressed only by virtue of clinical experience, so that the requirements on rescue workers and rescue machines are too high, and the rescue effect is not ideal. With the development of medical monitoring equipment, intelligent monitoring equipment is introduced in clinic,

currently, cardiopulmonary resuscitation monitoring devices mainly include two types: cardiopulmonary resuscitation action quality monitoring and circulatory function monitoring in patients with sudden cardiac arrest. The control and use of each monitoring device are generally independent, each monitoring device detects corresponding parameters, and if a certain monitoring device is absent or fails, the corresponding parameters cannot be acquired. The blood flow parameter is an important parameter reflected by the circulation function of the human body, has important significance for judging the cardio-pulmonary resuscitation effect, and is an important technical problem which is always addressed by technical personnel in the field of how to guarantee flexible, timely and continuous monitoring of the cardio-pulmonary resuscitation process, particularly the monitoring of the blood flow parameter of a patient.

Disclosure of Invention

In view of the above, embodiments of the present application provide a method for monitoring a cpr parameter and a cpr monitoring device to solve at least one of the problems in the background art.

In a first aspect, an embodiment of the present application provides a method for monitoring a cardiopulmonary resuscitation parameter, which is applied to a cardiopulmonary resuscitation monitoring apparatus, and the method includes:

if a port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, acquiring blood flow parameters based on the blood flow detection module;

if a port of the cardiopulmonary resuscitation monitoring device is connected with a pulse detection module and an external chest compression motion parameter detection module, acquiring a pulse signal based on the pulse detection module and a motion parameter based on the external chest compression motion parameter detection module, and determining a blood flow parameter according to the pulse waveform and the motion parameter;

and outputting the blood flow parameters.

In an optional embodiment, in combination with the first aspect of the application, the determining a blood flow parameter from the pulse signal and the motion parameter includes:

determining a first period according to the pulse signal, wherein the first period is the period of pulse change;

determining a second period according to the motion parameters, wherein the second period is the period of chest compression;

determining the time difference of the pulse signal and the corresponding moment in the motion parameter according to the first period and the second period;

and determining the blood flow parameter according to the time difference and the length value of the blood vessel from the heart of the patient to the carotid artery.

In an alternative embodiment, in combination with the first aspect of the present application, the blood vessel length from heart to carotid artery of the patient is determined according to a prestored blood vessel length reference value from heart to carotid artery of the human body; alternatively, the length value of the blood vessel from the heart to the carotid artery of the patient is determined according to the height of the patient received by the input device and a pre-stored conversion formula.

With reference to the first aspect of the present application, in an optional implementation, the blood flow detection module is an ultrasonic doppler blood flow detection module;

the obtaining of blood flow parameters based on the blood flow detection module comprises:

acquiring an ultrasonic signal of carotid blood flow;

performing frequency spectrum calculation according to the ultrasonic signal;

calculating a Doppler spectrum envelope line according to the spectrum calculation result;

and calculating blood flow parameters according to the Doppler spectrum envelope curve.

In an alternative embodiment, in combination with the first aspect of the present application, a chest compression motion parameter detection module is connected to a port of the cardiopulmonary resuscitation monitoring device, and the method includes: acquiring a motion parameter based on the chest compression motion parameter detection module;

the method further comprises the following steps:

determining the compression depth according to the motion parameters;

outputting the compression depth.

In a second aspect, an embodiment of the present application provides a cardiopulmonary resuscitation monitoring device, comprising:

a plurality of ports including a port for connecting a blood flow detection module, a port for connecting a pulse detection module, and a port for connecting a chest compression motion parameter detection module;

a processing module configured to perform: if a port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, acquiring blood flow parameters based on the blood flow detection module; if a pulse detection module and an external chest compression motion parameter detection module are connected to a port of the cardiopulmonary resuscitation monitoring device, acquiring a pulse signal based on the pulse detection module and a motion parameter based on the external chest compression motion parameter detection module, and determining a blood flow parameter according to the pulse waveform and the motion parameter;

an output module configured to output the blood flow parameter.

In combination with the second aspect of the present application, in an optional embodiment, the processing module is specifically configured to determine a first period from the pulse signal, where the first period is a period of pulse variation; determining a second period according to the motion parameters, wherein the second period is the period of chest compression; determining the time difference of the pulse signal and the corresponding moment in the motion parameter according to the first period and the second period; and determining the blood flow parameter according to the time difference and the length value of the blood vessel from the heart of the patient to the carotid artery.

In an alternative embodiment, in combination with the second aspect of the present application, a chest compression motion parameter detection module is connected to a port of the cardiopulmonary resuscitation monitoring device;

the processing module is configured to acquire motion parameters based on the chest compression motion parameter detection module; is further configured to determine a compression depth from the motion parameter;

the output module is further configured to output the compression depth.

In an alternative embodiment, in combination with the second aspect of the present application, the cardiopulmonary resuscitation monitoring device is hand-held.

In combination with the second aspect of the present application, in an alternative embodiment, the method further includes:

the mounting component is used for enabling the blood flow detection module to be detachably mounted and fixed on the main machine of the CPR monitoring device, so that the blood flow detection module is pressed at the position of the carotid artery blood vessel of the patient in a first use mode by holding the CPR monitoring device in hand, and is detached from the main machine of the CPR monitoring device and is separately applied at the position of the carotid artery blood vessel of the patient in a second use mode.

The embodiment of the application provides a cardiopulmonary resuscitation parameter monitoring method and a cardiopulmonary resuscitation monitoring device, wherein the method comprises the following steps: if the port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, acquiring blood flow parameters based on the blood flow detection module; if the port of the cardiopulmonary resuscitation monitoring device is connected with a pulse detection module and an external chest compression movement parameter detection module, acquiring a pulse signal based on the pulse detection module and acquiring a movement parameter based on the external chest compression movement parameter detection module, and determining a blood flow parameter according to a pulse waveform and the movement parameter; outputting a blood flow parameter; so, both can detect the blood flow parameter through blood flow detection module monitoring blood flow parameter, can press motion parameter detection module to detect the blood flow parameter again through pulse detection module and chest, ensure going on smoothly to the monitoring of patient's blood flow parameter, improved flexibility, the promptness and the continuation of monitoring.

Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a schematic flowchart of a monitoring method for cardiopulmonary resuscitation parameters according to an embodiment of the present application;

fig. 2 is a block diagram of a monitoring apparatus for cardiopulmonary resuscitation according to an embodiment of the present disclosure;

fig. 3 is a flowchart illustrating steps of a method for monitoring cpr parameters according to an exemplary embodiment of the present invention;

fig. 4 is a flowchart illustrating steps of a method for monitoring cpr parameters according to embodiment two of the present application;

FIG. 5 is a waveform of a normal pulse wave;

FIG. 6a is a graph comparing waveforms of pulse waves and pressure signals of a patient during cardiopulmonary resuscitation;

FIG. 6b is a graph comparing the waveform of the pulse wave and the acceleration signal of the patient during cardiopulmonary resuscitation and the compression depth curve;

fig. 7 is a schematic structural diagram of a cpr monitoring device according to a third embodiment of the present invention in a first use mode;

fig. 8 is a schematic structural diagram of a cpr monitoring device according to a third embodiment of the present application in a second mode of use;

fig. 9 is a block diagram of a cpr monitoring device according to an embodiment of the present application.

Detailed Description

In order to make the technical solution and advantages of the present invention more comprehensible, a detailed description is given below by way of specific examples. Wherein the figures are not necessarily to scale, and certain features may be exaggerated or minimized to more clearly show details of the features; unless defined otherwise, technical and scientific terms used herein have the same meaning as those in the technical field to which this application belongs.

Unless defined otherwise, technical or scientific terms used herein shall have the same general meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The use of the terms "a" and "an" and "the" and similar referents in the context of describing the invention (including a reference to the context of the specification and claims) are to be construed to cover both the singular and the plural, as well as the singular and plural. The terms "comprises," "comprising," "has," "having," and any variations thereof, as referred to in this application, are intended to cover non-exclusive inclusions; for example, a process, method, and system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or modules, but may include other steps or modules (elements) not listed or inherent to such process, method, article, or apparatus. Reference to "a plurality" in this application means two or more. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, "a and/or B" may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The terms "first," "second," "third," and the like in this application are used for distinguishing between similar items and not necessarily for describing a particular sequential or chronological order.

In this application, a patient refers to anyone who is receiving or is likely to receive monitoring of cardiopulmonary resuscitation parameters, although it is understood that a patient also refers to a person who is receiving cardiopulmonary resuscitation (e.g., chest compressions). The patient may also be referred to as a patient. Medical personnel, for example, including those who monitor patients using cardiopulmonary resuscitation monitoring devices, and thus, also as one of the users who use cardiopulmonary resuscitation monitoring devices; however, the user may include not only medical personnel, but also other personnel who directly or indirectly use the cardiopulmonary resuscitation monitoring device.

The embodiment of the application provides a monitoring method of cardiopulmonary resuscitation parameters, which is applied to a cardiopulmonary resuscitation monitoring device. Fig. 1 is a schematic flowchart of a monitoring method for cardiopulmonary resuscitation parameters according to an embodiment of the present application, where as shown in the figure, the method includes:

step 101, if a port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, obtaining blood flow parameters based on the blood flow detection module;

102, if a pulse detection module and an external chest compression motion parameter detection module are connected to a port of the cardiopulmonary resuscitation monitoring device, acquiring a pulse signal based on the pulse detection module and a motion parameter based on the external chest compression motion parameter detection module, and determining a blood flow parameter according to a pulse waveform and the motion parameter;

and step 103, outputting the blood flow parameters.

It can be understood that, in the process of implementing the monitoring method for cardiopulmonary resuscitation parameters provided by the embodiment of the present application, the blood flow parameters can be monitored through the blood flow detection module, and the blood flow parameters can be detected through the pulse detection module and the chest compression movement parameter detection module, so that the smooth proceeding of the monitoring of the blood flow parameters of the patient is ensured, and the flexibility, timeliness and continuity of the monitoring are improved.

Here, the basic structure of the cardiopulmonary resuscitation monitoring apparatus may refer to fig. 2. As shown, the cpr monitoring device 200 includes a plurality of ports, including a port (refer to the first port 241 in the figure) for connecting the blood flow detection module 210, a port (refer to the second port 242 in the figure) for connecting the pulse detection module 220, and a port (refer to the third port 243 in the figure) for connecting the chest compression movement parameter detection module 230. It should be understood that although shown as separate three ports, in actual practice, the number of ports may be more than three, and may even be less than three; the types of the ports can be the same or different; each detection module can be used for each port alternatively or in a multiplexing mode. For example, when the blood flow detection module 210 is not connected to the first port 241, the first port 241 may also be used to connect the pulse detection module 220.

The cardiopulmonary resuscitation monitoring device 200 further comprises a processing module 250, which processing module 250 may be used to perform

steps

101 and 102 described above.

In addition, the cpr monitoring device 200 further comprises an output module 260, wherein the output module 260 is configured to perform the step 103 of outputting the blood flow parameter.

As to step 101, as a possible implementation manner, the step specifically includes: and judging whether a port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, and if so, acquiring blood flow parameters based on the blood flow detection module. As another possible implementation, the step may also include: and judging whether the detection data based on the blood flow detection module is received through a port of the cardiopulmonary resuscitation monitoring device, and if so, acquiring blood flow parameters based on the blood flow detection module.

In addition, the blood flow parameter may be obtained by the blood flow detection module, specifically, the blood flow parameter may be determined based on the detection data received by the blood flow detection module. It can be understood that the blood flow detection module detects blood flow signals, the blood flow parameters obtained based on the blood flow signals need to be subjected to data operation and processing, and the operation and processing process can be completed by the processing module or even other circuit modules connected between the blood flow detection module and the processing module.

As an optional implementation, the blood flow detection module is an ultrasonic doppler blood flow detection module; obtaining blood flow parameters based on a blood flow detection module, comprising: acquiring an ultrasonic signal of carotid blood flow; carrying out frequency spectrum calculation according to the ultrasonic signals; calculating a Doppler spectrum envelope line according to the spectrum calculation result; blood flow parameters are calculated from the doppler spectrum envelope. The blood flow parameter is, for example, blood flow velocity, or "blood flow velocity".

Here, the ultrasound doppler blood flow detection module is specifically, for example, an ultrasound probe. The ultrasonic Doppler technology can detect the blood flow condition in the blood vessel of the human body without damage, and further provides a basis for diagnosing blood circulation systems and vascular diseases, so that the ultrasonic Doppler technology has wide application in medical clinic. The detection of the blood flow velocity by the ultrasonic doppler blood flow detection technique is accomplished by calculating the doppler shift of red blood cells in the blood, which act as scatterers. The curve of the blood flow velocity (corresponding to the maximum frequency curve of the doppler signal) and the related parameters on the doppler spectrogram can be changed due to the influence of the vascular disease on the human body. The ultrasonic probe utilizes the ultrasonic doppler principle, and can acquire physiological parameters of a patient through ultrasonic waves, such as detecting signals of blood flow velocity, blood flow direction and the like of the patient. After the ultrasound signal is acquired, it can be subjected to a spectral operation. Specifically, for example, the demodulated signal is preprocessed, then digitally filtered, and the filtered signal is subjected to fast fourier transform to obtain the frequency spectrum of the demodulated signal. Furthermore, envelope calculation is also performed on the filtered demodulated signal. Specifically, for example, envelope extraction is performed to obtain an envelope of the filtered demodulated signal. Then, blood flow velocity calculation is performed based on the spectrum and envelope of the demodulated signal.

As an alternative embodiment, a port of the cardiopulmonary resuscitation monitoring device is connected with an external chest compression motion parameter detection module. It will be appreciated that in this embodiment, when the cardiopulmonary resuscitation monitoring device is in use, one of the ports is connected to the chest compression movement parameter detection module; that is, corresponding to the case that the port of the cardiopulmonary resuscitation monitoring device is connected with the blood flow detection module in step 101, the cardiopulmonary resuscitation monitoring device is further connected with the chest compression movement parameter detection module at one port. Based on this, the method comprises: the motion parameter detection module acquires the motion parameter based on the chest compression. Whether for the case of step 101 or for the case of step 102, the method may further comprise: determining the compression depth according to the motion parameters; the compression depth is output.

Fig. 3 is a flowchart illustrating steps of a method for monitoring cpr parameters according to an embodiment of the present invention. As shown, after the start, ultrasound signal acquisition is performed based on the blood flow detection module, and compression sensor acquisition is performed based on the chest compression motion parameter detection module (here, the chest compression motion parameter detection module is specifically a compression sensor). For the step of obtaining the blood flow velocity from the ultrasound signal, reference may be made to the foregoing description, and details are not repeated here. As for the pressing sensor to acquire the pressing signal, after that, the calculation of the pressing waveform may be performed to acquire one cycle. It will be appreciated that chest compressions are typically repeated multiple times, and thus the compression waveform is also varied periodically, where the period is referred to as the compression period. Finally, the depth of the compression can be calculated from the compression waveform.

In practical application, the pressure sensor can be a pressure sensor, and an acceleration sensor can also be selected. In the case that the pressing sensor is a pressure sensor, the method of acquiring signals by the pressing sensor is similar to the method of acquiring pulse waves, and waveforms are directly acquired by sampling the electric signal changes of the sensor. In the case where the compression sensor is an acceleration sensor, the acceleration sensor acquires acceleration data, and then obtains the compression depth by calculation.

The calculation formula of the compression depth is as follows: v is V ₀ + at; wherein, at the start of pressing, the initial velocity V ₀ 0; the acceleration a is obtained through an acceleration sensor, and the time t is obtained through a timer of the processor. The interval delta t of the timer is fixedly set for a program, namely acceleration data are collected every delta t to obtain a value a. Δ t is typically set to be between 0.5ms and 10 ms. In the present specific example, considering that the time difference between the period of the chest compression and the period of the pulse change needs to be calculated subsequently, in order to improve the calculation accuracy, Δ t is specifically selected to be 1ms, i.e., the sampling period of the chest compression motion parameter detection module is 1 ms. By continuous integration, the current speed, i.e. V, can be continuously calculated _n ＝V _n-1 +a _n-1 Δ t. Similarly, the current compression depth S _n ＝S _n-1 +Vn-1*△t。

As to step 102, as a possible implementation manner, the step specifically includes: whether a port of the cardiopulmonary resuscitation monitoring device is connected with a pulse detection module and an external chest compression motion parameter detection module or not is judged, if yes, a pulse signal is obtained based on the pulse detection module, a motion parameter is obtained based on the external chest compression motion parameter detection module, and a blood flow parameter is determined according to a pulse waveform and the motion parameter. As another possible implementation, the step may also include: and judging whether the pulse signals and the motion parameters are received through a port of the cardiopulmonary resuscitation monitoring device, if so, acquiring the pulse signals based on a pulse detection module and acquiring the motion parameters based on an external chest compression motion parameter detection module.

It can be understood that for the patient without cardiac arrest, the measurement of the blood flow velocity can be obtained by analyzing and calculating the electrocardiosignal and the pulse wave, specifically calculating to obtain the time difference between the two waveforms, and then combining the length of the blood vessel between the two measurement points, and obtaining the blood flow velocity by dividing the length by the time. However, in a patient with cardiac arrest, since no heart beat is present, the electrocardiographic signal cannot be measured, and a new method for measuring the blood flow velocity needs to be found. The inventor has noted that in the process of cardiopulmonary compression, blood flow velocity is a favorable indicator of compression quality, and the blood flow velocity can be calculated by calculating the time difference between two waveforms in a manner that a compression signal is combined with a pulse wave. For patients with non-sudden cardiac arrest, the pulse waveform of the patient is substantially the same as that of a normal person, please refer to fig. 5; as time goes by, the waveform of the pulse wave rises first, reaches a peak at point a, and then falls, with some characteristic position appearing at position B, C, D. The waveform of the patient's pulse wave during cardiopulmonary resuscitation can be referred to as curve (a) in fig. 6a or curve (a) in fig. 6b, which is also rising and falling with time, but the waveform is significantly different from the waveform shown in fig. 5.

Specifically, as an alternative embodiment, the determining the blood flow parameter according to the pulse signal and the motion parameter includes: determining a first period according to the pulse signal, wherein the first period is the period of pulse change; determining a second period according to the motion parameters, wherein the second period is the period of chest compression; determining the time difference of corresponding moments in the pulse signals and the motion parameters according to the first period and the second period; and determining the blood flow parameter according to the time difference and the length value of the blood vessel from the heart of the patient to the carotid artery.

Here, the motion parameter that can participate in the calculation analysis may be acceleration a, velocity V, or compression depth S; this is because, in the calculation and analysis, it is necessary to use the period of chest compression to determine the time difference between the corresponding time points in the period and the period determined by the pulse signal, and the motion parameters are periodically changed and the change periods are consistent.

Determining a time difference between corresponding time instants of the pulse signal and the motion parameter according to the first period and the second period may include: and determining a starting point of one period in the first period and a starting point of a corresponding period in the second period according to the first period and the second period, and determining a difference value between the two starting points as a time difference of corresponding moments in the pulse signal and the motion parameter. Alternatively, the time difference may be calculated from the end point of the cycle, or other easily identifiable point.

Determining a blood flow parameter according to the time difference and a length value of a blood vessel from the heart of the patient to the carotid artery, which may specifically include: and calculating the ratio L/delta T of the length value L of the blood vessel from the heart to the carotid artery of the patient to the time difference delta T to obtain the blood flow velocity. Here, the determination of the blood flow parameter is specifically determination of the blood flow velocity.

As an alternative embodiment, the length value of the blood vessel from the heart to the carotid artery of the patient is determined according to a pre-stored reference value of the length of the blood vessel from the heart to the carotid artery of the human body; alternatively, the length of the blood vessel from the heart to the carotid artery of the patient is determined based on the height of the patient received by the input device and a pre-stored conversion formula.

It is understood that a blood vessel length from human heart to carotid artery reference value can be stored in advance in the cardiopulmonary resuscitation monitoring device, and the reference value can be selected as an average value of the blood vessel length from human heart to carotid artery; more precisely, the average value of the heart to carotid vessel length of a population of a major country or major region of sale of the cardiopulmonary resuscitation monitoring apparatus may be selected. The blood flow parameters of the patient can be determined more quickly and in a more timely manner by means of the reference values.

Or, a conversion formula may be stored in advance in the cardiopulmonary resuscitation monitoring apparatus, where the conversion formula is a conversion formula between the height and the length of the blood vessel from the heart of the human body to the carotid artery, and specifically, for example, a reference value of a ratio between the height and the length of the blood vessel from the heart of the human body to the carotid artery is stored. It will be readily appreciated that the reference value for the aforementioned ratio may equally be determined from a human average, or from an average of a population of major country of sale or major region of sale. By the method, individual differences of the patient can be better considered, and the blood flow parameters of the patient can be more accurately determined.

Next, please refer to a flowchart of steps of a specific example two shown in fig. 4 to further understand the method provided in the present application. As shown, initially, pulse sensor signal acquisition is performed based on the pulse detection module and compression sensor acquisition is performed based on the compression motion parameter detection module. Here, please refer to the foregoing description regarding the specific case of the pressing motion parameter detection module and the workflow thereof. For pulse sensor signal acquisition, after which a waveform calculation can be performed, one cycle is acquired, and a starting point calculation is performed. For press sensor acquisition, one cycle after acquisition, the starting point calculation is also performed. Then, the same cycle time difference calculation is performed based on the above two, and the blood flow velocity calculation is performed based on the time difference. And finally, displaying the parameters.

In practical application, the pressure sensor can be selected from pressure sensors. Referring to fig. 6a, a curve (a) is a waveform of a pulse wave of a patient during cardiopulmonary resuscitation, and a curve (B) is a curve of a pressure signal of the patient during cardiopulmonary resuscitation. The waveform of the pulse wave and the curve of the pressure signal are periodically changed, the starting point of each period is determined, and the time difference DeltaT is obtained by subtracting the starting point time of the same period (the time difference is obtained for each period, such as DeltaT 1, DeltaT 2, DeltaT 3 and DeltaT 4 … … shown in the figure). The length of the blood vessel from the heart to the carotid artery is L, which can be set directly by a machine as described above, or can be obtained by conversion by setting the height of the patient. Thus, the blood flow velocity is equal to L/. DELTA.T.

In addition, in practical application, the pressing sensor can also be an acceleration sensor. At this time, referring to fig. 6B, a curve (a) is a waveform of a pulse wave of the patient during the cardiopulmonary resuscitation, a curve (B) is a compression depth curve of the patient during the cardiopulmonary resuscitation, and a curve (C) is an acceleration signal curve of the patient during the cardiopulmonary resuscitation. Both the compression depth curve and the acceleration signal curve are periodically changed, and the change periods are the same. Thereafter, the time difference Δ T is obtained by determining the starting point of each period, and the step of calculating the blood flow velocity is the same as when the pressure sensor is selected, please refer to the above description.

Regarding step 103, if the cardiopulmonary resuscitation monitoring device has a blood flow detection module connected to its port and no pulse detection module connected to it, the preceding steps only execute step 101 without executing step 102, and thus, when step 103 is executed, the blood flow parameters acquired based on step 101 are output. Conversely, if a pulse detection module is connected to a port of the cardiopulmonary resuscitation monitoring device and no blood flow detection module is connected, the preceding steps only perform step 102 without performing step 101, and thus, when step 103 is performed, the blood flow parameters determined based on step 102 are output.

As a possible case, a blood flow detection module, a pulse detection module and an external chest compression movement parameter detection module are connected to the ports of the cardiopulmonary resuscitation monitoring device, and at this time, step 101 and step 102 are both executed. For convenience of description, the blood flow parameter obtained based on step 101 will be referred to as "first blood flow parameter", and the blood flow parameter determined based on step 102 will be referred to as "second blood flow parameter". The method may further comprise: respectively determining whether the first blood flow parameter and the second blood flow parameter fall into a preset blood flow parameter reference range, and if the first blood flow parameter does not fall into the preset blood flow parameter reference range and the second blood flow parameter falls into the preset blood flow parameter reference range, outputting the second blood flow parameter in step 103; if the second blood flow parameter does not fall within and the first blood flow parameter falls within, outputting the first blood flow parameter at step 103; if the first blood flow parameter and the second blood flow parameter both fall within or do not fall within the preset blood flow parameter reference range, the blood flow parameter output in step 103 is equal to: a first blood flow parameter X + a second blood flow parameter (1-X); wherein X is greater than or equal to 64%. Here, 64% can be understood as a percentage of the confidence level of the manner in which the blood flow parameter is acquired based on the blood flow detection module as compared with the manner in which the blood flow parameter is determined based on the pulse detection module and the chest compression movement parameter detection module. In a further alternative embodiment, 80%. gtoreq.X.gtoreq.64%. Through the output strategy, the accuracy of the output blood flow parameters is greatly improved, more accurate monitoring data is further provided for medical staff, and the smooth proceeding of rescue is guaranteed.

The present embodiment also provides a cardiopulmonary resuscitation monitoring device, please refer to fig. 2, the cardiopulmonary resuscitation monitoring device 200 includes: a plurality of ports, including a port (refer to a first port 241 in the figure) for connecting the blood flow detection module 210, a port (refer to a second port 242 in the figure) for connecting the pulse detection module 220, and a port (refer to a third port 243 in the figure) for connecting the chest compression motion parameter detection module 230; a processing module 250 configured to perform: if the port of the cardiopulmonary resuscitation monitoring device 200 is connected with the blood flow detection module 210, obtaining blood flow parameters based on the blood flow detection module 210; if the port of the cardiopulmonary resuscitation monitoring device 200 is connected with the pulse detection module 220 and the chest compression movement parameter detection module 230, acquiring a pulse signal based on the pulse detection module 220 and acquiring a movement parameter based on the chest compression movement parameter detection module 230, and determining a blood flow parameter according to a pulse waveform and the movement parameter; an output module 260 configured to output the blood flow parameter.

It should be understood that the cardiopulmonary resuscitation monitoring apparatus provided in this embodiment and the cardiopulmonary resuscitation parameter monitoring method provided in the foregoing embodiment belong to the same concept, and details and technical features may refer to the above cardiopulmonary resuscitation parameter monitoring method embodiment, and are not described herein again.

As an alternative embodiment, the processing module 250 is specifically configured to determine a first period from the pulse signal, where the first period is a period of pulse variation; determining a second period according to the motion parameters, wherein the second period is the period of chest compression; determining the time difference of corresponding moments in the pulse signals and the motion parameters according to the first period and the second period; and determining the blood flow parameter according to the time difference and the length value of the blood vessel from the heart of the patient to the carotid artery.

As an alternative embodiment, the blood flow detection module 210 is an ultrasonic doppler blood flow detection module; the processing module 250 configured to obtain the blood flow parameters based on the blood flow detection module specifically includes being configured to: acquiring an ultrasonic signal of carotid blood flow; carrying out frequency spectrum calculation according to the ultrasonic signals; calculating a Doppler spectrum envelope line according to the spectrum calculation result; blood flow parameters are calculated from the doppler spectrum envelope.

As an alternative embodiment, a port of the cardiopulmonary resuscitation monitoring device is connected with an external chest compression motion parameter detection module; a processing module 250 configured to acquire motion parameters based on the chest compression motion parameter detection module; is further configured to determine a compression depth from the motion parameter; an output module 260 further configured to output the compression depth.

As an alternative embodiment, the cardiopulmonary resuscitation monitoring device 200 is hand-held.

As an alternative embodiment, the cardiopulmonary resuscitation monitoring device 200 further comprises: and the mounting component is used for detachably mounting and fixing the blood flow detection module 210 on the host of the cardiopulmonary resuscitation monitoring device 200, so that the blood flow detection module 210 is pressed at the carotid artery blood vessel of the patient in a first use mode by holding the cardiopulmonary resuscitation monitoring device 200 in hand, and is detached from the host of the cardiopulmonary resuscitation monitoring device 200 and is separately applied at the carotid artery blood vessel of the patient in a second use mode.

Next, please refer to fig. 7 and 8. As shown in the figure, the cardiopulmonary resuscitation monitoring device comprises a host 710, wherein a display screen 720, a sound pick-up 730 and a loudspeaker 740 are arranged on the host 710; in addition, the ultrasound probe, the pulse sensor, and the depth sensor are connected to the host 710. It is understood that the ultrasonic probe corresponds to the aforementioned blood flow detection module, the pulse sensor corresponds to the aforementioned pulse detection module, and the depth sensor corresponds to the aforementioned chest compression motion parameter detection module. This cardiopulmonary resuscitation monitoring devices is hand-held to easily be convenient for medical personnel's operation at the quick use of cardiopulmonary resuscitation's in-process simultaneously.

The cardiopulmonary resuscitation monitoring device can measure the blood flow velocity of carotid artery by using an ultrasonic Doppler sensor alone, and can also detect the blood flow velocity by using a matched deep compression detection and neck pulse sensor.

The ultrasonic probe has two use modes, one mode is that the ultrasonic probe is directly clamped on the host 710 and is pressed to measure at the position of the carotid artery blood vessel by the ultrasonic probe of the handheld operation device (please refer to fig. 7); another mode is to pull the ultrasound probe off the device, where the ultrasound probe is connected to the main unit 710 through a hidden connecting wire, and the ultrasound probe is attached to the carotid artery by using the application material alone for measurement (see fig. 8).

The pulse sensor is applied to the patient at the location of the carotid artery during use. The pulse sensor can select photoelectric reflection type pulse sensor (infrared photoelectric reflection type pulse sensor can be selected specifically) or pressure pulse sensor.

The depth sensor can be an acceleration sensor or a pressure sensor. If an acceleration sensor is selected, obtaining the pressing depth through the acquisition and calculation of an acceleration value; if a pressure sensor is selected, the waveform of the compression and the chest compression condition are obtained through pressure acquisition.

Fig. 9 is a block diagram of a cpr monitoring device according to an embodiment of the present application. As shown, the apparatus includes a processor and input and output components connected to the processor.

Specifically, the processor in the figure corresponds to the processing module 250, which may be specifically an ARM/FPGA/DSP low-power chip.

As a signal input circuit, the blood flow signal is detected by the ultrasonic probe, then transmitted to the ultrasonic signal conditioning module for conditioning, and then input to the processor after being subjected to signal conversion by the ADC chip. Wherein, the ultrasonic probe can be a CW probe or a PW probe; the frequency is chosen to be between 2MHz and 8MHz, preferably 4 MHz. The ultrasonic signal conditioning comprises an ultrasonic generation driving signal and an ultrasonic echo detection circuit. The ADC chip, namely an analog-to-digital conversion chip, is used for acquiring ultrasonic signals. As another signal input circuit, a compression depth measuring sensor acquires motion parameters, then the motion parameters are transmitted to a depth measuring and processing module, the frequency and the depth of the cardiopulmonary resuscitation compression are detected, and finally the motion parameters are transmitted to a processor. The compression depth sensor is, for example, a 3-axis acceleration sensor or a pressure sensor. As another signal input circuit, the pulse sensor collects pulse signals, then the pulse signals are transmitted to the pulse sensor signal processing module for signal processing, and finally the pulse signals are transmitted to the processor.

Furthermore, the apparatus may further include: the geographic positioning module, such as Beidou/GPS positioning, can position the specific position of the device, and provides the public emergency equipment on a management platform in an information-based intelligent manner; a wireless data module, such as Bluetooth, wifi or mobile network communication (4G/5G), for transmitting data to the management platform; the sound processing module is used for recording and playing sound; the loudspeaker is connected with the sound processing module and used for playing blood flow sound or pressing rhythm sound; the sound pickup is connected with the sound processing module and is used for recording the surrounding environment and ensuring that the rescue process is recorded; display modules, such as OLED, LCD, ink-jet screen, and other small-sized display modules; the battery can be a disposable battery or a rechargeable lithium battery; and the power supply management module is used for converting the battery voltage into the working voltage required by the device.

In this specific example, the apparatus may further include an input device; wherein, the input device includes but is not limited to at least one of the following: keyboard, keys, voice-operated input device (such as the above-mentioned sound pickup), and touch screen. It is understood that other devices capable of signal input are included within the meaning of the present application. As mentioned above, the apparatus may further include output devices such as speakers and a display screen. Of course, other devices capable of signal output are also encompassed within the meaning of the present application. Thus, the device can realize information interaction with the user.

The port CAN be a communication hardware interface commonly used such as a USB/UART/network interface/Bluetooth/WIFI/CAN, and the application does not specifically limit the port.

In order to store the received detection result, and to store the intermediate quantity and the algorithm program in the operation process, the device may further include a storage module, such as a memory, a storage, and the like, connected to the processor.

In this specific example, the cardiopulmonary resuscitation monitoring device can indicate whether the pulse wave exists through modes such as sound, display screen to and the fluctuation intensity, provide quick feedback for cardiopulmonary resuscitation first aid effect. Therefore, the pulse can be touched by a human hand, the blood flow intensity state during pressing can be displayed, and whether the spontaneous heartbeat is displayed to be resuscitated successfully or not can be distinguished after the gap between presses and defibrillation. In the cardio-pulmonary resuscitation process, the device can rapidly detect the blood flow velocity of the neck through ultrasonic Doppler, and can also detect the blood flow velocity through a depth sensor and a neck pulse sensor; by the ultrasonic Doppler principle, the blood flow velocity of blood vessels is measured, the cardio-pulmonary resuscitation compression depth is measured, and the blood flow velocity, the compression depth and the compression frequency are measured and displayed by combining a neck pulse sensor. The device can be a handheld monitoring device and can be provided with a display function, the design is simplified, the size of the device is reduced, the device is favorable for being placed in public places together with equipment such as an AED (AED) and a cardiopulmonary resuscitation machine, and the device can be used with other emergency equipment when necessary. The ultrasonic probe in the device can be used integrally, and the probe can also be taken down for use; cardiopulmonary resuscitation compression parameters can be measured simultaneously; the functions of positioning, wireless transmission and the like are realized; the emergency treatment device has the functions of recording and playing sound, and can prompt the bleeding sound and record the sound in the emergency treatment process.

It should be understood that the above embodiments are exemplary and are not intended to encompass all possible implementations encompassed by the claims. Various modifications and changes may also be made on the basis of the above embodiments without departing from the scope of the present disclosure. Likewise, various features of the above embodiments may be arbitrarily combined to form additional embodiments of the present invention that may not be explicitly described. Therefore, the above examples only represent some embodiments of the present invention, and do not limit the scope of the present invention.

Claims

1. A monitoring method of cardiopulmonary resuscitation parameters is applied to a cardiopulmonary resuscitation monitoring device, and is characterized by comprising the following steps:

and outputting the blood flow parameters.

2. The method of monitoring cardiopulmonary resuscitation parameters of claim 1, wherein said determining blood flow parameters from said pulse signals and said motion parameters comprises:

determining the time difference of corresponding moments in the pulse signal and the motion parameter according to the first period and the second period;

3. The method for monitoring cardiopulmonary resuscitation parameters according to claim 2, wherein the blood vessel length from heart to carotid artery of the patient is determined according to a pre-stored reference blood vessel length from heart to carotid artery of the human body; alternatively, the length value of the blood vessel from the heart to the carotid artery of the patient is determined according to the height of the patient received by the input device and a pre-stored conversion formula.

4. The method for monitoring cardiopulmonary resuscitation parameters of claim 1, wherein the blood flow detection module is an ultrasonic doppler blood flow detection module;

acquiring an ultrasonic signal of carotid blood flow;

performing frequency spectrum calculation according to the ultrasonic signal;

calculating Doppler spectrum envelope curves according to the spectrum calculation result;

5. The cardiopulmonary resuscitation parameter monitoring method of claim 1, wherein a chest compression motion parameter detection module is connected to a port of the cardiopulmonary resuscitation monitoring device, the method comprising: acquiring a motion parameter based on the chest compression motion parameter detection module;

the method further comprises the following steps:

determining the compression depth according to the motion parameters;

outputting the compression depth.

6. A cardiopulmonary resuscitation monitoring device, comprising:

a processing module configured to perform: if a port of the cardiopulmonary resuscitation monitoring device is connected with a blood flow detection module, acquiring blood flow parameters based on the blood flow detection module; if a port of the cardiopulmonary resuscitation monitoring device is connected with a pulse detection module and an external chest compression motion parameter detection module, acquiring a pulse signal based on the pulse detection module and a motion parameter based on the external chest compression motion parameter detection module, and determining a blood flow parameter according to the pulse waveform and the motion parameter;

an output module configured to output the blood flow parameter.

7. The cardiopulmonary resuscitation monitoring device of claim 6,

the processing module is particularly configured to determine a first period from the pulse signal, the first period being a period of pulse variation; determining a second period according to the motion parameters, wherein the second period is the period of chest compression; determining the time difference of the pulse signal and the corresponding moment in the motion parameter according to the first period and the second period; and determining the blood flow parameter according to the time difference and the length value of the blood vessel from the heart of the patient to the carotid artery.

8. The cardiopulmonary resuscitation monitoring device of claim 6, wherein a chest compression motion parameter detection module is connected to a port of the cardiopulmonary resuscitation monitoring device;

the processing module is configured to acquire motion parameters based on the chest compression motion parameter detection module; further configured to determine a compression depth from the motion parameter;

the output module is further configured to output the compression depth.

9. The cardiopulmonary resuscitation monitoring device of claim 6, wherein the cardiopulmonary resuscitation monitoring device is hand-held.

10. The cardiopulmonary resuscitation monitoring device of claim 9, further comprising:

the mounting component is used for enabling the blood flow detection module to be detachably mounted and fixed on the main machine of the CPR monitoring device, so that the blood flow detection module can be pressed on the carotid artery blood vessel of a patient in a manner of holding the CPR monitoring device by hands in a first use mode, and can be detached from the main machine of the CPR monitoring device and independently attached to the carotid artery blood vessel of the patient in a second use mode.