CN108703770A - ventricular volume monitoring device and method - Google Patents

Abstract

The application relates to a ventricular volume monitoring device and method, including an image acquisition module and a processor, the image acquisition module is connected to the processor, the image acquisition module acquires the ultrasonic imaging video of the object to be monitored, and the processor identifies the ultrasonic imaging video in a single cardiac cycle Obtain the total gray value of the fluctuation area, obtain the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area, and obtain the ventricular volume change information of the object to be monitored based on the cavity area change information. In this way, without the use of cardiac catheter technology, not only non-invasive acquisition of ventricular volume change data can be achieved, but also real-time ventricular volume change data can be obtained without interrupting monitoring, so that continuous, non-invasive real-time ventricular volume can be obtained through ultrasound image analysis .

Description

Ventricular volume monitoring device and method

technical field

The present application relates to the technical field of biomedical engineering, in particular to a ventricular volume monitoring device and method.

Background technique

Cardiovascular and cerebrovascular diseases have become an important cause of harm to human health. The determination of cardiac function can not only be used for early diagnosis and auxiliary diagnosis of cardiovascular diseases, but also for anesthesia and patient monitoring. It has important guiding significance for those with higher requirements; at the same time, it can also provide objective indicators in evaluating the effects of cardiovascular surgery and drugs and exercise effects. In addition, the determination of cardiac function is also of great significance in the discovery of subclinical myocardial damage in patients with some diseases and the negative inotropic side effects of some drugs.

The traditional method of measuring cardiac function is mainly by means of cardiac catheterization techniques, such as coronary angiography. However, coronary angiography has certain mortality and complications, such as myocardial infarction, blood vessel or heart puncture, or malignant arrhythmia. Therefore, the operation of the traditional cardiac function measurement method will cause trauma to the heart, and there is a problem of high trauma risk.

Contents of the invention

Based on this, it is necessary to provide a ventricular volume monitoring device and method capable of reducing the risk of trauma in view of the above technical problems.

A ventricular volume monitoring device, comprising an image acquisition module and a processor, the image acquisition module being connected to the processor;

The image acquisition module acquires the ultrasound imaging video of the object to be monitored; the processor identifies the fluctuation area of the ultrasound imaging video frame in a single cardiac cycle, acquires the total gray value of the fluctuation area, and according to the fluctuation area of the fluctuation area The gray total value obtains the cavity area change information of the object to be monitored, and obtains the ventricular volume change information of the object to be monitored based on the cavity area change information.

In one embodiment, the processor is further configured to obtain each grayscale value and the total pixel value of the fluctuating region, and obtain the total grayscale value of the fluctuating region according to the grayscale values; based on the fluctuation The total pixel value of the region remains unchanged, and the cavity area change information of the object to be monitored is obtained according to the total pixel value and the total gray value of the fluctuating region.

In one embodiment, the processor is further configured to use the difference between the total pixel value and the total gray value of the fluctuating region as the cavity area change value to obtain the ultrasonic imaging video of the object to be monitored within a single cardiac cycle The number of frames and the corresponding change value of the cavity area are used to construct a relationship curve between the number of frames and the change value of the cavity area.

In one embodiment, the processor is further configured to filter and smooth the cavity area change information, and obtain the ventricular volume change information of the subject to be monitored based on the filtered and smoothed cavity area change information.

In one embodiment, the processor is further configured to calibrate the ventricular volume change information based on a preset compensation function.

In one embodiment, the processor is further configured to, when the ultrasound imaging video of the object to be monitored is a color image video, perform grayscale processing on the color image video, and identify grayscale processed Fluctuating regions of an ultrasound imaging video.

In one embodiment, the device further includes an ultrasonic imaging acquisition device connected to the processor.

In one embodiment, the device further includes a display connected to the processor.

In one embodiment, the device further includes a recorder connected to the processor.

A method for monitoring ventricular volume, said method comprising:

Obtain the ultrasound imaging video of the object to be monitored;

identifying regions of fluctuation in the ultrasound imaging video within a single cardiac cycle;

Acquiring the total gray value of the fluctuating area, and obtaining the cavity area change information of the object to be monitored according to the total gray value of the fluctuating area;

The ventricular volume change information of the subject to be monitored is obtained based on the cavity area change information of the subject to be monitored.

The above-mentioned ventricular volume monitoring device and method include an image acquisition module and a processor, the image acquisition module is connected to the processor; the image acquisition module acquires the ultrasound imaging video of the object to be monitored, and the processor identifies the fluctuation area of the ultrasound imaging video in a single cardiac cycle, The total gray value of the fluctuating area is acquired, the cavity area change information of the object to be monitored is obtained according to the total gray value of the fluctuating area, and the ventricular volume change information of the object to be monitored is obtained based on the cavity area change information. By processing the acquired ultrasound imaging video of the object to be monitored, the fluctuation area of the ultrasound imaging video in a single cardiac cycle is identified, and the total gray value of the fluctuation area of the ultrasound imaging video frame of the object to be monitored is obtained to obtain the monitoring object. Cavity area change information, and then obtain ventricular volume change information based on the cavity area change information, so that without the use of cardiac catheterization technology, not only can non-invasive acquisition of ventricular volume change data, but also real-time monitoring can be obtained without interrupting monitoring The change data of ventricular volume can be obtained continuously and non-invasively in real time through ultrasound image analysis.

Description of drawings

Fig. 1 is a structural block diagram of a central chamber volume monitoring device of an embodiment;

Fig. 2 is a schematic diagram of a fluctuation region in an embodiment;

Fig. 3 is a schematic diagram of an embodiment of an ultrasonic image;

Fig. 4 is a schematic diagram of the change curve of the cavity cross-sectional area in one cardiac cycle in one embodiment;

Fig. 5 is a schematic flow chart of sharpening processing in an embodiment;

Fig. 6 is a schematic flowchart of a method for monitoring central chamber volume according to an embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

In one embodiment, as shown in FIG. 1 , a ventricular volume monitoring device is provided, including an image acquisition module 100 and a processor 200, and the image acquisition module 100 is connected to the processor 200; the image acquisition module 100 acquires the Ultrasound imaging video; the processor 200 identifies the fluctuation area of the ultrasound imaging video in a single cardiac cycle, obtains the total gray value of the fluctuation area, and obtains the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area, and based on the cavity The volume change information of the body area is obtained by obtaining the change information of the ventricular volume of the object to be monitored.

The image acquisition module 100 acquires the ultrasonic imaging video of the object to be monitored. For example, the acquisition of the ultrasonic imaging video of the ultrasonic imaging device can be completed through a dedicated image acquisition chip. The ultrasound imaging video of the object to be monitored may specifically be an ultrasound imaging video of the object to be monitored within a single cardiac cycle. The cardiac cycle refers to the process experienced by the cardiovascular system from the start of one heartbeat to the start of the next heartbeat. During diastole, the internal pressure decreases, and blood from the vena cava returns to the heart; during systole, the internal pressure increases, and blood is pumped to the artery; each contraction and relaxation of the heart constitutes a cardiac cycle. In a cardiac cycle, the two atria contract first, and the contraction of the right atrium slightly precedes that of the left atrium; the two ventricles contract after the atrium begins to relax, and the contraction of the left ventricle slightly precedes the right ventricle, and the atrium begins to contract again in the late period of ventricular diastole. For example, based on the average adult heart rate of 75 beats per minute, each cardiac cycle averages 0.8 seconds, the average atrial systolic period is 0.11 seconds, and the average diastolic period is 0.69 seconds; the average ventricular systolic period is 0.27 seconds, and the average diastolic period is 0.8 seconds 0.53 seconds.

Ultrasound imaging equipment plays a pivotal role in medical diagnosis. It plays a huge role in medical diagnosis with the advantages of fast, safe and real-time. It is widely used in medical diagnosis, preoperative planning, treatment, postoperative monitoring, etc. in the link. The working principle of the ultrasonic imaging equipment can be array sound field delay superposition imaging. In this way, different delays are introduced to each unit of the array, and then synthesized into a focused beam to realize imaging of each point of the sound field.

The processor 200 identifies the fluctuation region of the ultrasound imaging video in a single cardiac cycle, obtains the total gray value of the fluctuation region, obtains the cavity area change information of the object to be monitored according to the total gray value of the fluctuation region, and based on the cavity area change information Obtain the change information of the ventricular volume of the object to be monitored. The ultrasonic imaging video of the object to be monitored is processed to distinguish the fluctuating area from the stable area. For example, the rate of change of the gray value of each pixel in each ultrasonic image relative to time can be analyzed according to the video sequence of the collected ultrasonic imaging video. Specifically, if the variation range of the gray value of a certain pixel within a cardiac cycle is greater than or equal to the preset value, it is regarded as a valid pixel; if its variation range is smaller than the preset value, it can be regarded as other tissue area or signal Noise fluctuations. In this way, the fluctuation area and the stable area can be distinguished, the detection range can be narrowed, and the interference of the surrounding area can be eliminated. Among them, the image quality of different devices is different in different environments, and the preset value is generally between 30-60. The gray index of the entire detection area is evaluated by the average gray value change of the pixels in the stable area, and the video area is divided into a fluctuating area and a stable area according to the size of the entropy to distinguish the fluctuating area pixels from the stable area pixels to exclude muscle tissue blood vessels and so on interfere with the identification of the cavity area. The ultrasound imaging video in a single cardiac cycle includes multiple ultrasound images, the pixel value represents the size of the image, the pixel coordinates represent the address, and the grayscale value represents the value in the address. The fluctuation area refers to the area where the gray value fluctuates with the heartbeat. In the video of the entire cardiac cycle, as shown in Figure 2, the area in the lower left frame is always white (the gray value is always above 250, and there is no large fluctuation). This area is regarded as a stable area; the area in the upper right box always changes black and white repeatedly with the cardiac process (the gray value fluctuates repeatedly from 10 to 250), and this area is regarded as a fluctuating area. According to the above rules, according to each video sample, the finally identified fluctuation area will be an irregularly shaped fixed selection area, and the gray value of all pixels in this area fluctuates regularly with the change of heartbeat. According to the total gray value of the fluctuation area, the change information of the cavity area of the object to be monitored is obtained. Since the shape of each cavity does not change significantly during the beating process of the heart, there is a proportional relationship between the volume of the ventricle and the area of the cavity, and the proportional coefficient is assumed to be k , the change information of the ventricular volume can be obtained according to the change information of the cavity area.

The above-mentioned ventricular volume monitoring device includes an image acquisition module and a processor, the image acquisition module is connected to the processor; the image acquisition module acquires the ultrasound imaging video of the object to be monitored, and the processor identifies the fluctuation area of the ultrasound imaging video in a single cardiac cycle, and acquires the fluctuation area According to the total gray value of the area, the cavity area change information of the object to be monitored is obtained according to the total gray value of the fluctuating area, and the ventricular volume change information of the object to be monitored is obtained based on the cavity area change information. By processing the acquired ultrasound imaging video of the object to be monitored, the fluctuation area of the ultrasound imaging video in a single cardiac cycle is identified, and the cavity of the object to be monitored is obtained according to the total gray value of the fluctuation area of the ultrasound imaging video of the object to be monitored. Body area change information, and then based on the cavity area change information to obtain ventricular volume change information, so that without the use of cardiac catheterization technology, not only non-invasive acquisition of ventricular volume change data, but also real-time ventricular volume change information can be obtained without interrupting monitoring. Volume change data, so as to achieve continuous, non-invasive real-time ventricular volume through ultrasound image analysis.

In one embodiment, the processor obtains the total gray value of the fluctuation area, and obtains the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area, including: obtaining each gray value of the fluctuation area and the total pixel value , the total gray value of the fluctuating area is obtained according to each gray value; based on the fact that the total pixel value of the fluctuating area remains unchanged, the change information of the cavity area of the object to be monitored is obtained according to the total pixel value and the total gray value of the fluctuating area. Through the shadow detection, the shadow area in the fluctuation area can be distinguished, and the shadow area in the fluctuation area can be separated from the surrounding image, that is, the outline of the shadow area can be correctly segmented. The shadow is formed because the light irradiated by the light source point to the background is blocked by the target object, but the light intensity in the scene does not change the surface texture characteristic structure of the background; because the incident light intensity obtained by the shadow area is weakened, the shadow The pixel values of the area will be smaller than the pixel values of the area without shadow.

In one embodiment, the processor obtains the cavity area change information of the object to be monitored according to the total pixel value and the total gray value of the fluctuating area, including: taking the difference between the total pixel value and the total gray value of the fluctuating area as the cavity Body area change value; obtain the frame number of the ultrasound imaging video of the object to be monitored in a single cardiac cycle and the corresponding cavity area change value; construct a relationship curve between the frame number and the cavity area change value. Specifically, the total value of pixels is 255*n, n is the total number of detected pixels, the total gray value ∑G of the fluctuation area is equal to the sum of the gray values of each pixel in the fluctuation area, and the change value of the cavity area is 255*n-∑G . In one embodiment, the processor is further configured to obtain the gray value of each pixel in the fluctuating area, and obtain the change information of the cavity area of the object to be monitored according to the constant gray value of the fluctuating area and the gray value of each pixel. For the ultrasound image shown in Figure 3, the fan-shaped area shown in the figure is grayscale pixels, the grayscale range is 0-255, 0 is black, that is, the cavity area, and 255 is white, that is, muscle tissue. The gray value of all pixels in the fluctuating area is summed to obtain the total gray value of the fluctuating area. The gray value of each pixel in the fluctuating area is g1, g2...gn respectively, then the total gray value in the fluctuating area ∑G=g1+g2+...+gn, where n is the number of pixels in the fluctuating area, and g is the pixel gray ΣG is the total pixel gray value of the collected video frame. Since the total detection pixel number n remains unchanged, the change value of the cavity cross-sectional area (black area) is 255*n-ΣG. A fitting curve was drawn according to the above-mentioned change values of each frame of image, and after filtering and smoothing to remove large noise fluctuations, the change curve of the cavity cross-sectional area within one cardiac cycle was obtained as shown in Figure 4 .

In one embodiment, the image acquisition and video decoding of the ultrasonic imaging video are automatically completed in real time through a dedicated image acquisition chip, and the correlation between input signals is decoupled in a data-free manner by means of transform coding. By using USM (Unsharp Mask, sharpening algorithm) technology, the high-frequency content of the image is enhanced, and the low-frequency content is weakened, so that the visual effect of the image is further sharpened, and the recognition accuracy is greatly improved. The flow of the sharpening process is shown in Figure 5, and the specific expression is: y(n, m)=x(n, m)+λz(n, m), where x(n, m) is the input image, y(n,m) is the output image, and z(n,m) is the correction signal obtained by high-pass filtering x. λ is a scaling factor used to control the enhancement effect. In the USM algorithm, z(n, m) can be obtained by z(n, m)=4x(n, m)-x(n-1, m)-x(n+1, m)-x(n, m -1)-x(n, m+1) acquisition.

In one embodiment, the processor obtains the ventricular volume change information of the subject to be monitored based on the cavity area change information. Monitor the subject's ventricular volume change information. After filtering and smoothing, larger noise fluctuations can be eliminated. Smoothing filter is a low-frequency enhanced spatial domain filtering technology, and its purpose has two types: one is blurring; the other is noise removal. The smoothing filter in the spatial domain can be carried out by simple average method, which is to calculate the average brightness value of adjacent pixel points. The size of the neighborhood is directly related to the smoothing effect. The larger the neighborhood, the better the smoothing effect, but if the neighborhood is too large, the smoothing will cause a greater loss of edge information, thus making the output image blurry, so it is necessary to choose a reasonable The size of the neighborhood.

In one embodiment, the processor is further configured to calibrate the information on the change of the volume of the ventricle based on a preset compensation function. There is a proportional relationship between ventricular volume and ventricular cross-sectional area. Assuming that the proportional coefficient is k, the formula for the ventricular volume change value △V is: △V=k*(255*n-∑G). Considering the different characteristics of heart beating in different cases, such as imaging factors such as infants, middle-aged and elderly people, fat content, heart disease, etc., in order to optimize and calibrate the detection results, a proportional compensation function f(e) can be set for special cases, then △V=k*f (e)*(255*n-∑G), where k is the normal ventricular area-to-volume ratio coefficient, f(e) is the special compensation ratio function, and △V is the final ventricular volume change value.

In one embodiment, before the processor identifies the fluctuation region of the ultrasound imaging video in a single cardiac cycle, it further includes: when the ultrasound imaging video of the object to be monitored is a color image video, performing grayscale processing on the color image video; The fluctuation area of the ultrasound imaging video in a cardiac cycle includes: the processor identifies the fluctuation area of the gray-scale processed ultrasound imaging video in a single cardiac cycle. When the ultrasonic imaging video of the object to be monitored is a color image video, the saturation value of the brightness of the pixel with high saturation is reduced to the minimum, and the subsequent analysis and processing are performed in grayscale mode to eliminate interference, and finally displayed in color mode. User Interface. For example, the RGB values of pixels whose RGB values differ by more than 5 can be reduced to R-0, G-0, and B-0, and then the above operation can be performed to eliminate interference. The RGB color mode is a color standard in the industry. A variety of colors are obtained by changing the three color channels of red (R), green (G), and blue (B) and superimposing them with each other. RGB stands for the colors of the three channels of red, green and blue. Optionally, when the detection area is connected to the background, the selection of the final target area should be limited to the fan-shaped area, and the black background cannot be selected.

In one embodiment, the device further includes an ultrasonic imaging acquisition device connected to the processor. The ultrasonic imaging acquisition device may include an ultrasonic probe, and acquires an ultrasonic cardiac image of the subject to be monitored through the ultrasonic probe.

In one embodiment, the device further includes a display connected to the processor. The display can be a liquid crystal display, which can display information about changes in cavity area and ventricular volume of the object to be monitored.

In one embodiment, the device further includes a recorder connected to the processor, and the recorder can record various fitting curves generated by the processor. A recorder is an instrument that converts the process of one or more variables changing over time or another variable into a signal that can be recognized and read. The recorder takes the CPU (Central Processing Unit) as the core, supplemented by large-scale integrated circuits, large-capacity FLASH (flash memory) storage, signal intelligent conditioning, bus and a new type of intelligent wireless display with high-resolution graphics. Paper record meter. Adopt long-life backlight 160×128 monochrome LCD display, support 4/8/16 channel analog universal input or 2/4/8 channel analog output and 12 channel alarm output, set data and record data with power-down protection function , has the characteristics of small size, large number of channels, low power consumption, high precision, strong versatility, stable operation, and high reliability. It can save the recorded signal changes for analysis and processing, and the recorder can automatically record the slow change process and transient level change process of periodic or non-periodic multi-channel signals.

In one embodiment, as shown in FIG. 6 , a method for monitoring ventricular volume includes: step 602, acquiring an ultrasound imaging video of an object to be monitored; step 604, identifying the fluctuation region of the ultrasound imaging video within a single cardiac cycle; step 606 , obtain the total gray value of the fluctuating area, and obtain the cavity area change information of the object to be monitored according to the total gray value of the fluctuating area; step 608, obtain the ventricular volume change of the object to be monitored based on the cavity area change information of the object to be monitored information.

In one embodiment, the method for monitoring ventricular volume includes: acquiring an ultrasound imaging video of an object to be monitored; identifying the fluctuation area of the ultrasound imaging video in a single cardiac cycle; acquiring each gray value of the fluctuation area and the total pixel value, according to each gray scale The total value of the gray scale of the fluctuation area is obtained; the total value of the pixel based on the fluctuation area remains unchanged, and the change information of the cavity area of the object to be monitored is obtained according to the total value of the pixel and the total value of the gray scale of the fluctuation area; based on the cavity area of the object to be monitored The volume change information of the body area is obtained by obtaining the change information of the ventricular volume of the object to be monitored.

In one embodiment, the method for monitoring ventricular volume includes: acquiring an ultrasound imaging video of an object to be monitored; identifying the fluctuation area of the ultrasound imaging video within a single cardiac cycle; acquiring each gray value of the fluctuation area, and obtaining the fluctuation area according to each gray value The total value of the gray scale; based on the total value of the pixel in the fluctuation area remains unchanged, according to the total value of the pixel and the total value of the gray scale in the fluctuation area, the change information of the cavity area of the object to be monitored is obtained; based on the change information of the cavity area of the object to be monitored Obtain the ventricular volume change information of the object to be monitored; wherein, according to the total pixel value and the total gray value of the fluctuation area, the cavity area change information of the object to be monitored is obtained, including: combining the total pixel value and the total gray value of the fluctuation area The difference is used as the change value of the cavity area; the number of frames of the ultrasound imaging video of the object to be monitored in a single cardiac cycle and the corresponding change value of the cavity area are obtained; and the relationship curve between the number of frames and the change value of the cavity area is constructed.

In one embodiment, the method for monitoring ventricular volume includes: acquiring an ultrasound imaging video of an object to be monitored; performing sharpening processing on the ultrasound imaging video within a single cardiac cycle, and identifying the fluctuation area of the sharpened ultrasound imaging video; acquiring the fluctuation The total gray value of the area; the cavity area change information of the object to be monitored is obtained according to the total gray value of the fluctuation area; the ventricular volume change information of the object to be monitored is obtained based on the cavity area change information of the object to be monitored.

In one embodiment, the method for monitoring ventricular volume includes: acquiring an ultrasound imaging video of an object to be monitored; identifying the fluctuation area of the ultrasound imaging video within a single cardiac cycle; acquiring the total gray value of the fluctuation area; according to the total gray value of the fluctuation area The cavity area change information of the object to be monitored is obtained; the cavity area change information is filtered and smoothed, and the ventricular volume change information of the object to be monitored is obtained based on the cavity area change information after the filtering and smoothing process.

In one embodiment, the method for monitoring ventricular volume includes: acquiring an ultrasound imaging video of an object to be monitored; identifying the fluctuation area of the ultrasound imaging video within a single cardiac cycle; acquiring the total gray value of the fluctuation area; according to the total gray value of the fluctuation area The cavity area change information of the object to be monitored is obtained; the ventricular volume change information of the object to be monitored is obtained based on the cavity area change information of the object to be monitored; and the ventricular volume change information is calibrated based on a preset compensation function.

In one embodiment, the method for monitoring ventricular volume includes: acquiring the ultrasound imaging video of the object to be monitored; when the ultrasound imaging video frame of the object to be monitored is a color image video, performing grayscale processing on the color image video; identifying The fluctuation area of the ultrasonic imaging video after grayscale processing; obtain the total gray value of the fluctuation area; obtain the cavity area change information of the object to be monitored according to the total gray value of the fluctuation area; based on the cavity area change information of the object to be monitored Obtain the change information of the ventricular volume of the object to be monitored.

For specific limitations on the ventricular volume monitoring method, refer to the above-mentioned limitations on the ventricular volume monitoring device, which will not be repeated here.

The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (10)

1. A ventricular volume monitoring device, comprising an image acquisition module and a processor, and the image acquisition module is connected with the processor; The image acquisition module acquires the ultrasound imaging video of the object to be monitored; the processor identifies the fluctuation area of the ultrasound imaging video in a single cardiac cycle, acquires the total gray value of the fluctuation area, and according to the gray value of the fluctuation area The cavity area change information of the object to be monitored is obtained through the total degree value, and the ventricular volume change information of the object to be monitored is obtained based on the cavity area change information. 2. The device according to claim 1, wherein the processor is further configured to acquire each grayscale value and the total pixel value of the fluctuating region, and obtain the grayscale value of the fluctuating region according to each grayscale value. The total gray value: based on the fact that the total pixel value of the fluctuating area remains unchanged, the cavity area change information of the object to be monitored is obtained according to the total pixel value and the total gray value of the fluctuating area. 3. The device according to claim 2, wherein the processor is further configured to use the difference between the total pixel value and the total gray value of the fluctuating region as the cavity area change value to obtain a single heart beat The number of frames of the ultrasonic imaging video of the object to be monitored and the corresponding change value of the cavity area within the cycle, and a relationship curve between the number of frames and the change value of the cavity area is constructed. 4. The device according to claim 1, wherein the processor is further configured to perform filtering and smoothing processing on the cavity area change information, and obtain the waiting time based on the cavity area change information after filtering and smoothing processing. Monitor the subject's ventricular volume change information. 5. The device according to claim 1, wherein the processor is further configured to calibrate the ventricular volume change information based on a preset compensation function. 6. The device according to claim 1, wherein the processor is further configured to perform grayscale processing on the color image video when the ultrasonic imaging video of the object to be monitored is a color image video, and identify Fluctuating regions of a gray-scale processed ultrasound imaging video within a single cardiac cycle. 7. The device according to any one of claims 1 to 6, further comprising an ultrasonic imaging acquisition device connected to the processor. 8. The device according to any one of claims 1 to 6, further comprising a display connected to the processor. 9. The device according to any one of claims 1 to 6, further comprising a recorder connected to the processor. 10. A method for monitoring ventricular volume, characterized in that the method comprises: Obtain the ultrasound imaging video of the object to be monitored; identifying regions of fluctuation in the ultrasound imaging video within a single cardiac cycle; Acquiring the total gray value of the fluctuating area, and obtaining the cavity area change information of the object to be monitored according to the total gray value of the fluctuating area; The ventricular volume change information of the subject to be monitored is obtained based on the cavity area change information of the subject to be monitored.