Arteriosclerosis detection device and arteriosclerosis detector
By designing an arteriosclerosis detection device, collecting aortic bioelectric information and pulse wave signals, and calculating the pulse wave conduction speed, the problem of not being able to obtain aortic PPG signals in the prior art is solved, and the reliability of the detection results is improved.
Patent Information
- Application Number
- CN202411912777.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-06-27
AI Technical Summary
The prior art cannot obtain the aorta PPG signal in the detection of arteriosclerosis, resulting in low reliability of the detection results.
An arteriosclerosis detection device is designed, including a bioelectric acquisition module, a pulse wave acquisition module, a main control module and a communication module. By collecting aortic bioelectric information and pulse wave signals, combining the distance value from the heart to the detection object, the pulse wave conduction speed is calculated, and compared with the arteriosclerosis evaluation table to obtain the arteriosclerosis detection results.
By collecting bioelectric information and pulse wave signals from the aorta, the calculated pulse wave conduction speed is more accurate, which improves the reliability of arteriosclerosis detection results.
Smart Images
Figure CN120203535A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of arteriosclerosis detection, and particularly to an arteriosclerosis detection device and an arteriosclerosis monitor. Background Art
[0002] Arteriosclerosis is a chronic disease that usually occurs in middle-aged or elderly people. It can cause thickening of the arterial intima, reduced elasticity, and stenosis of the lumen, thereby affecting blood flow. If not controlled in time, it may cause serious complications such as myocardial infarction and stroke. Therefore, arteriosclerosis detection is of great significance for the prevention and treatment of cardiovascular diseases.
[0003] In the known technology, there is an arteriosclerosis detection method using a smart watch, which measures the electrocardiogram (ECG) of the hand and the photoplethysmogram (PPG) signal on the surface of the hand. However, this arteriosclerosis detection method can only obtain the PPG signal from the heart to the small arteries and cannot obtain the PPG signal of the aorta. Therefore, the reliability of the arteriosclerosis detection result is relatively low. Summary of the Invention
[0004] In view of the above problems, this application provides an arteriosclerosis detection device and an arteriosclerosis monitor to achieve the purpose of improving the reliability of arteriosclerosis detection results. The specific solutions are as follows:
[0005] In the first aspect of this application, an arteriosclerosis detection device is provided, including: a bioelectricity acquisition module, a pulse wave acquisition module, a main control module, and a communication module; where:
[0006] The bioelectricity acquisition module includes at least two bioelectricity collectors, which are used to collect aortic bioelectricity information and send the aortic bioelectricity information to the main control module;
[0007] The pulse wave acquisition module is used to collect pulse wave signals and send the pulse wave signals to the main control module;
[0008] The main control module is used to receive aortic bioelectric information from the bioelectricity acquisition module, receive the pulse wave signal from the pulse wave acquisition module, obtain the distance value between the pulse wave acquisition module and the heart of the target detection object from the client, and process the aortic bioelectric information into an aortic bioelectric signal; use the peak value in the aortic bioelectric signal as the starting point of pulse wave conduction, use the peak value of the pulse wave signal adjacent to the starting point of pulse wave conduction as the ending point of pulse wave conduction, and calculate the time difference between the starting point and the ending point of pulse wave conduction; the peak value of the pulse wave signal is in the conduction direction of the starting point of pulse wave conduction; calculate the conduction speed of the pulse wave signal from the time difference and the distance value; compare the conduction speed with the arteriosclerosis assessment table to obtain the arteriosclerosis detection result; send the arteriosclerosis detection result to the communication module;
[0009] The communication module is used to send the arteriosclerosis detection result to the client.
[0010] In a possible implementation, the acquisition positions of the bioelectricity acquisition module include the neck, hand, and chest of the target detection object.
[0011] In a possible implementation, the main control module obtains the distance value between the pulse wave acquisition module and the heart of the target detection object from the client through the communication module.
[0012] In a possible implementation, the aortic bioelectric signal in the main control module is a non-standard electrocardiogram signal, and the non-standard electrocardiogram signal is an electrocardiogram signal including at least peak information.
[0013] In a possible implementation, the main control module includes a comparison unit;
[0014] The comparison unit is used to determine the artery type corresponding to the aortic bioelectric signal;
[0015] Determine the arteriosclerosis assessment standard of the pulse wave signal matching the artery type from the arteriosclerosis assessment table;
[0016] Compare the conduction speed with the arteriosclerosis assessment standard to obtain the arteriosclerosis detection result.
[0017] In a possible implementation, the distance value between the pulse wave acquisition module and the heart of the target detection object is measured by the client.
[0018] In a possible implementation, the bioelectricity acquisition module is used to acquire the aortic bioelectric information of the neck of the target detection object.
[0019] In a possible implementation, the bioelectricity acquisition module and the pulse wave acquisition module are respectively connected to the main control module, and the main control module is connected to the communication module.
[0020] The second aspect of the present application provides an arteriosclerosis detector, which includes a pulse wave collector, a bioelectricity collector, and a processor;
[0021] The pulse wave collector is used to collect aortic bioelectricity information;
[0022] The pulse wave collector is used to collect the pulse wave signal of the target detection object;
[0023] The processor is used to receive the aortic bioelectricity information and the pulse wave signal, and obtain the distance value between the pulse wave collector and the heart of the target detection object from the client; process the aortic bioelectricity information into an aortic bioelectricity signal, calculate the conduction velocity of the pulse wave signal based on the aortic bioelectricity signal, the pulse wave signal, and the distance value, and compare the conduction velocity with the arteriosclerosis assessment form to obtain the arteriosclerosis detection result.
[0024] In a possible implementation, the processor uses the peak value in the aortic bioelectricity signal as the starting point of pulse wave conduction, and uses the peak value of the pulse wave signal adjacent to the starting point of pulse wave conduction as the ending point of pulse wave conduction, and calculates the time difference between the starting point and the ending point of pulse wave conduction; the peak value of the pulse wave signal is in the conduction direction of the starting point of pulse wave conduction; the conduction velocity of the pulse wave signal is calculated from the time difference and the distance value.
[0025] By means of the above technical solutions, the arteriosclerosis detection device and arteriosclerosis monitor provided by the present application include a bioelectricity collection module, a pulse wave collection module, a main control module, and a communication module. The main control module receives the aortic bioelectricity information collected by the bioelectricity collection module and the pulse wave signal collected by the pulse wave collection module, and the distance value between the bioelectricity collection module and the heart of the target detection object obtained from the client; then processes the aortic bioelectricity information into an aortic bioelectricity signal, uses the peak value in the aortic bioelectricity signal as the starting point of pulse wave conduction, and uses the peak value of the pulse wave signal adjacent to the starting point of pulse wave conduction as the ending point of pulse wave conduction, calculates the time difference between the starting point and the ending point of pulse wave conduction, calculates the conduction velocity of the pulse wave signal based on the time difference and the distance value, and compares the conduction velocity with the arteriosclerosis assessment index to obtain the arteriosclerosis detection result. The present application collects the bioelectricity information of the aorta instead of the bioelectricity information of the arterioles in the known technology, and the calculated conduction velocity of the pulse wave is more accurate, so as to obtain a more reliable arteriosclerosis detection result. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Combined with the drawings and referring to the following specific embodiments, the above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more obvious. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the original components and elements are not necessarily drawn to scale.
[0027] Figure 1 It is a structural composition diagram of the arteriosclerosis detection device provided for this application;
[0028] Figure 2 It is a calculation example diagram of the time difference between the starting point and the ending point of pulse wave conduction provided for this application;
[0029] Figure 3 It is an example diagram of the biological information collection points of the arteriosclerosis detection device provided for this application. Detailed implementation manners
[0030] The following describes the embodiments of this application in conjunction with the accompanying drawings in the embodiments of this application. The terms used in the embodiment part of this application are only used to explain the specific embodiments of this application, rather than intended to limit this application.
[0031] The following describes the embodiments of this application in conjunction with the accompanying drawings. Those of ordinary skill in the art will know that with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.
[0032] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned accompanying drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances, which is only a way of distinguishing when describing objects with the same attributes in the embodiments of this application. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, so that a process, method, system, product or device including a series of units does not have to be limited to those units, but may include other units not clearly listed or inherent to these processes, methods, products or devices.
[0033] Arteriosclerosis can be called atherosclerosis, which mainly occurs in large and medium-sized muscular elastic arteries, such as the aorta, coronary arteries, and cerebral arteries. The harm of arteriosclerosis is very serious, involving multiple organs and systems, and can threaten life in severe cases. Early prevention and treatment of arteriosclerosis are very important.
[0034] In the known technology, generally large-sized devices are used for the screening and detection of arteriosclerosis, such as Doppler ultrasound, arteriosclerosis detection devices, etc. The devices are large in size and require professional personnel to operate. At the same time, in the known technology, there is also a situation of using a smart watch for arteriosclerosis detection, mainly measuring the pulse wave of the small arteries in the wrist, and the pulse wave signal of the aorta cannot be obtained, resulting in low reliability of the arteriosclerosis detection results. To solve the above problems, this application provides an arteriosclerosis detection device and an arteriosclerosis detector.
[0035] Optionally, refer to Figure 1 , the structural composition diagram of the arteriosclerosis detection device provided by this application.
[0036] As Figure 1 described, the arteriosclerosis detection device provided by this application includes a bioelectricity acquisition module, a pulse wave acquisition module, a main control module, and a communication module.
[0037] Among them, the bioelectricity acquisition module and the pulse wave acquisition module are respectively connected to the main control module, and the main control module is connected to the communication module.
[0038] The bioelectricity acquisition module includes at least two bioelectricity collectors. The main function of the bioelectricity collector is to collect the bioelectricity information generated by the aorta of the target detection object. The aortic bioelectricity information is mainly used to generate an aortic bioelectricity signal subsequently. An aortic bioelectricity signal requires at least the aortic bioelectricity information collected by two bioelectricity collectors to be generated. Therefore, at least two bioelectricity collectors are required. The specific acquisition positions of the bioelectricity collectors can be the neck, hands, and chest of the target detection object. The bioelectricity collectors mainly collect the aortic bioelectricity information. For the arteriosclerosis detection device provided by this application, the acquisition positions of the bioelectricity collectors can be both sides of the neck of the target detection object.
[0039] The pulse wave acquisition module includes a pulse wave collector. The pulse wave collector is mainly used to collect pulse wave signals. The methods for collecting pulse wave signals include the optoelectronic method and the ultrasonic method. Among them, the optoelectronic method is mainly based on the photoplethysmography method to achieve pulse acquisition. This method uses an optoelectronic sensor to detect the change in the light transmittance or reflectance when human blood flows, and converts it into an electrical signal. Specifically, a photoplethysmography pulse wave collector is used to collect pulse wave signals; the ultrasonic method uses the propagation of ultrasonic waves in human tissues to detect the pulse. When the heart beats, the arterial wall will vibrate accordingly, and this vibration will cause changes in the propagation speed and direction of ultrasonic waves in the tissue. By detecting these changes, the pulse signal can be indirectly measured. Specifically, an ultrasonic collector is used to collect pulse wave signals.
[0040] The aortic bioelectricity information collected by the bioelectricity collectors of the bioelectricity acquisition module and the pulse wave signals collected by the pulse wave acquisition module are both sent to the main control module.
[0041] In addition to receiving the aortic bioelectricity information and pulse wave signals, the main control module also obtains the distance value between the pulse wave acquisition module and the heart of the target detection object from the client. This distance value is measured by the client. After measuring the distance, it is input into the application program of the client, and the application program will send this measured value to the main control module in the arteriosclerosis detection device.
[0042] The main control module processes the received aortic bioelectrical information into an aortic bioelectrical signal, which can specifically be an electrocardiogram signal (Electrocardiogram, ECG signal).
[0043] It should be noted that the aortic bioelectrical signal processed by the main control module in this application can specifically be a non-standard ECG signal, which at least includes peak information.
[0044] Then, the main control module processes the aortic bioelectrical signal and the pulse wave signal within the same time period. Taking the peak of the aortic bioelectrical signal as the starting point of pulse wave conduction, then, along the conduction direction of the starting point of the pulse wave conduction, searching for the end point of pulse wave conduction, taking the peak of the pulse wave signal adjacent to the starting point of the pulse wave conduction as the end point of pulse wave conduction, calculating the time difference between the starting point and the end point of pulse wave conduction, calculating the conduction speed of the pulse wave signal based on this time difference and the distance value between the pulse wave acquisition module and the heart of the target detection object obtained from the client. Then, comparing the calculated conduction speed with the arteriosclerosis assessment table stored in the main control module to obtain the arteriosclerosis detection result.
[0045] It should be noted that the time difference between the starting point and the end point of pulse wave conduction can also be called Pulse Wave Transit Time (PWTT). PWTT is an important indicator for measuring arteriosclerosis. It refers to the time required for the pulse wave generated during cardiac ejection to propagate from the aorta to the peripheral blood vessels (such as the arm or leg). PWTT is closely related to the elasticity and stiffness of blood vessels. When the elasticity of the blood vessel wall weakens, the pulse wave conduction speed will increase, resulting in a shortening of PWTT.
[0046] Exemplarily, see Figure 2 , the calculation example diagram of the time difference between the starting point and the end point of pulse wave conduction provided by this application.
[0047] As Figure 2 shown, the peak of the aortic bioelectrical signal is R. Taking R as the starting point of the cardiac pulse wave conduction, the peak of the pulse wave signal is P. Taking P as the end point of the pulse wave signal to the carotid artery measurement point, calculating the time difference between R and P. After obtaining the time difference, according to the distance L from the heart to the measurement point, calculating the conduction speed V of the pulse wave, where V is the conduction speed of the heart-carotid artery pulse wave.
[0048] Optionally, the main control module further includes a comparison unit, which is mainly used to determine the arteriosclerosis detection result of the target detection object based on the conduction speed of the pulse wave.
[0049] Specifically, the comparison unit first determines the artery type corresponding to the aortic bioelectrical signal. It can be understood that when the bioelectrical acquisition module has different acquisition positions, the aortic bioelectrical signals generated by the acquired aortic bioelectrical information will correspond to different artery types. For example, the artery types that can be acquired include the human aorta, medium arteries, small arteries, etc. Then
[0050] determine the arteriosclerosis assessment criteria of the pulse wave signal that matches the corresponding artery type from the arteriosclerosis assessment form. For example, for the human aorta, the conduction velocity of the pulse wave is about 3 to 5 meters per second; for medium arteries, such as the radial artery, the conduction velocity of the pulse wave is about 7 to 10 meters per second; for small arteries, the conduction velocity of the pulse wave is about 15 to 35 meters per second. When arteriosclerosis occurs, the conduction velocity of the pulse wave in each artery will become faster. Specifically, different arteriosclerosis assessment criteria can be set according to the characteristics of the conduction velocity of the pulse wave in different arteries. A conduction velocity threshold of the pulse wave for whether arteriosclerosis occurs can be set. Additionally, a grading standard for arteriosclerosis occurrence can be set for different arteries. The faster the conduction velocity of the pulse wave, the more severe the arteriosclerosis.
[0051] Finally, compare the conduction velocity with the arteriosclerosis assessment criteria to obtain the arteriosclerosis detection result.
[0052] After the main control module generates the arteriosclerosis detection result, it will be sent to the communication module, and the communication module will send this result to the client.
[0053] In summary, the arteriosclerosis detection device provided by the present application includes a bioelectrical acquisition module, a pulse wave acquisition module, a main control module, and a communication module. The main control module receives the aortic bioelectrical information collected by the bioelectrical acquisition module and the pulse wave signal collected by the pulse wave acquisition module, as well as the distance value between the bioelectrical acquisition module and the heart of the target detection object obtained from the client. Then, the aortic bioelectrical information is processed into an aortic bioelectrical signal. The peak value in the aortic bioelectrical signal is used as the starting point of the pulse wave conduction, and the peak value of the pulse wave signal adjacent to the starting point of the pulse wave conduction is used as the ending point of the pulse wave conduction. Calculate the time difference between the starting point and the ending point of the pulse wave conduction. Based on the time difference and the distance value, calculate the conduction velocity of the pulse wave signal. Compare the conduction velocity with the arteriosclerosis assessment index to obtain the arteriosclerosis detection result. The present application collects the bioelectrical information of the aorta instead of the bioelectrical information of small arteries in the known technology, and the calculated conduction velocity of the pulse wave is more accurate, so as to obtain a more reliable arteriosclerosis detection result.
[0054] Exemplarily, see Figure 3 the exemplary diagram of the bioinformation acquisition points of the arteriosclerosis detection device provided by the present application.
[0055] AsFigure 3 As shown in Figure 3 , the arteriosclerosis detection device provided by the present application collects the biological information of the neck of the target detection object. The bioelectricity collection points are equivalent to the bioelectricity collectors mentioned above. At least two bioelectricity collectors are required to collect the bioelectricity information of the aorta on both sides of the neck of the target detection object. The pulse collection point is the pulse wave collector used to collect the pulse wave signal in the pulse wave collection module.
[0056] In addition, the present application also provides an arteriosclerosis detector, including a pulse wave collector, a bioelectricity collector, and a processor;
[0057] The bioelectricity collector is used to collect the bioelectricity information of the aorta.
[0058] The pulse wave collector is used to collect the pulse wave signal of the target detection object;
[0059] The processor is used to receive the bioelectricity information of the aorta and the pulse wave signal, and obtain the distance value between the pulse wave collector and the heart of the target detection object from the client; process the bioelectricity information of the aorta into an aortic bioelectricity signal, and calculate the conduction speed of the pulse wave signal based on the aortic bioelectricity signal, the pulse wave signal, and the distance value, and compare the conduction speed with the arteriosclerosis assessment table to obtain the arteriosclerosis detection result.
[0060] Specifically in the processor, the peak value in the aortic bioelectricity signal is used as the starting point of the pulse wave conduction, and the peak value of the pulse wave signal adjacent to the starting point of the pulse wave conduction is used as the ending point of the pulse wave conduction to calculate the time difference between the starting point and the ending point of the pulse wave conduction; the peak value of the pulse wave signal is located in the conduction direction of the starting point of the pulse wave conduction; the conduction speed of the pulse wave signal is calculated from the time difference and the distance value.
[0061] In addition, it should be noted that the device embodiments described above are only illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines.
[0062] Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus necessary general hardware. Of course, it can also be implemented by dedicated hardware including application specific integrated circuits, dedicated CPUs, dedicated memories, dedicated components, etc. Generally, functions accomplished by computer programs can be easily implemented by corresponding hardware, and the specific hardware structures for implementing the same function can also be various, such as analog circuits, digital circuits or dedicated circuits. However, for the present application, software program implementation is a better embodiment in more cases. Based on such understanding, the technical solution of the present application, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium, such as a floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk or optical disc of a computer, and includes several instructions for causing a computer device (which can be a personal computer, training device, or network device, etc.) to execute the methods described in various embodiments of the present application.
[0063] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product.
Claims
1. An arteriosclerosis detection device, characterized in that: include: Bioelectric acquisition module, pulse wave acquisition module, main control module and communication module; wherein: The bioelectricity collection module includes at least two bioelectricity collectors for collecting aortic bioelectricity information and sending the aortic bioelectricity information to the main control module; The pulse wave acquisition module is used to collect the pulse wave signal and send the pulse wave signal to the main control module; The main control module is used to receive the aortic bioelectric information from the bioelectric acquisition module, receive the pulse wave signal from the pulse wave acquisition module, obtain the distance value between the pulse wave acquisition module and the heart of the target detection object from the client, and process the aortic bioelectric information into an aortic bioelectric signal; take the peak value in the aortic bioelectric signal as the pulse wave conduction starting point, take the peak value of the pulse wave signal adjacent to the pulse wave conduction starting point as the pulse wave conduction end point, calculate the time difference between the pulse wave conduction starting point and the pulse wave conduction end point; the peak value of the pulse wave signal is located in the conduction direction of the pulse wave conduction starting point; calculate the conduction velocity of the pulse wave signal from the time difference and the distance value; compare the conduction velocity with the arteriosclerosis evaluation table to obtain the arteriosclerosis detection result; send the arteriosclerosis detection result to the communication module; The communication module is used to send the arteriosclerosis detection result to the client.
2. The arteriosclerosis detection device according to claim 1, characterized in that: The collection positions of the bioelectricity collection module include the neck, hands and chest of the target detection object.
3. The arteriosclerosis detection device according to claim 1, characterized in that: The main control module obtains the distance value between the pulse wave acquisition module and the heart of the target detection object from the client through the communication module.
4. The arteriosclerosis detection device according to claim 1, characterized in that: The aortic bioelectric signal in the main control module is a non-standard electrocardiogram signal, and the non-standard electrocardiogram signal is an electrocardiogram signal that at least includes peak information.
5. The arteriosclerosis detection device according to claim 1, characterized in that: The main control module includes a comparison unit; The comparison unit is used to determine the type of artery corresponding to the aortic bioelectric signal; Determining an arteriosclerosis assessment standard of a pulse wave signal matching the artery type from the arteriosclerosis assessment table; The conduction velocity is compared with the arteriosclerosis assessment standard to obtain the arteriosclerosis detection result.
6. The arteriosclerosis detection device according to claim 1, characterized in that: The distance value between the pulse wave acquisition module and the heart of the target detection object is measured by the client.
7. The arteriosclerosis detection device according to claim 1, characterized in that: The bioelectricity acquisition module is used to acquire bioelectricity information of the aorta in the neck of the target detection object.
8. The arteriosclerosis detection device according to claim 1, characterized in that: The bioelectric acquisition module and the pulse wave acquisition module are respectively connected to the main control module, and the main control module is connected to the communication module.
9. An arteriosclerosis detector, characterized in that: Including a pulse wave collector, a bioelectric collector and a processor; The pulse wave collector is used to collect aortic bioelectric information; The pulse wave collector is used to collect the pulse wave signal of the target detection object; The processor is used to receive the aortic bioelectric information and the pulse wave signal, and to obtain the distance value between the pulse wave collector and the heart of the target detection object from the client; The aortic bioelectric information is processed into an aortic bioelectric signal, and the conduction velocity of the pulse wave signal is calculated based on the aortic bioelectric signal, the pulse wave signal and the distance value, and the conduction velocity is compared with an arteriosclerosis assessment table to obtain an arteriosclerosis detection result.
10. The arteriosclerosis detector according to claim 9, characterized in that: The processor uses the peak value in the aortic bioelectric signal as the starting point of pulse wave conduction, and the peak value of the pulse wave signal adjacent to the starting point of pulse wave conduction as the end point of pulse wave conduction, and calculates the time difference between the starting point of pulse wave conduction and the end point of pulse wave conduction; the peak value of the pulse wave signal is located in the conduction direction of the starting point of pulse wave conduction; and the conduction speed of the pulse wave signal is calculated from the time difference and the distance value.