CN109924955B - Method, device, terminal and storage medium for determining cerebrovascular dynamics parameters - Google Patents
Method, device, terminal and storage medium for determining cerebrovascular dynamics parameters Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, a terminal and a storage medium for determining cerebrovascular dynamics parameters. The method comprises the following steps: simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject; extracting left characteristic parameters of the left pulse wave, and determining left cerebrovascular dynamics parameters of the left brain according to the left characteristic parameters; and extracting right side characteristic parameters of the right side pulse wave, and determining right side cerebrovascular dynamics parameters of the right brain according to the right side characteristic parameters. The technical scheme of the embodiment of the invention can accurately analyze the left-side cerebrovascular dynamics parameters and the right-side cerebrovascular dynamics parameters in a targeted manner without causing trauma, and is simple and practical.
Description
Technical Field
The embodiment of the invention relates to a medical information processing technology, in particular to a method, a device, a terminal and a storage medium for determining cerebrovascular dynamics parameters.
Background
A large number of clinical experiments show that the dynamic parameters of the cerebral vessels of many cerebrovascular diseases are changed obviously in the early stage of the disease, and the change of the dynamic parameters is usually obviously earlier than the change of the morphology. Therefore, accurate and non-invasive determination of cerebrovascular dynamics parameters is of great significance for early diagnosis of cerebrovascular diseases, physiological and pathological research of cerebral circulation, and the like.
The existing method for determining the cerebrovascular dynamics parameters can be transcranial Doppler technology, positron emission tomography technology, X-ray computed tomography technology, cerebrovascular dynamics detection analyzer and the like. However, these methods tend to be more damaging to the subject and the examination process is more complicated.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a terminal and a storage medium for determining cerebrovascular dynamics parameters, so as to accurately, non-invasively and conveniently determine the cerebrovascular dynamics parameters.
In a first aspect, an embodiment of the present invention provides a method for determining a cerebrovascular dynamics parameter, including:
simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject;
extracting left characteristic parameters of the left pulse wave, and determining left cerebrovascular dynamics parameters of the left brain according to the left characteristic parameters;
and extracting right side characteristic parameters of the right side pulse wave, and determining right side cerebrovascular dynamics parameters of the right brain according to the right side characteristic parameters.
Optionally, the method for determining a cerebrovascular kinetic parameter may further include:
and determining the working state of the cerebral vessels of the detected person according to the left cerebral vessel dynamic parameter and the right cerebral vessel dynamic parameter.
Optionally, determining the working state of the cerebral blood vessel of the subject according to the left cerebral blood vessel kinetic parameter and the right cerebral blood vessel kinetic parameter may include:
if the type of the left cerebrovascular dynamics parameter is the same as that of the right cerebrovascular dynamics parameter, calculating bilateral difference values of the left cerebrovascular dynamics parameter and the right cerebrovascular dynamics parameter, and determining the working state of the cerebral vessels of the detected person according to the bilateral difference values.
Optionally, the method for determining a cerebrovascular kinetic parameter may further include:
and when at least one of the left cerebrovascular dynamics parameter, the right cerebrovascular dynamics parameter and the bilateral difference value exceeds a preset numerical range, carrying out risk reminding based on a preset reminding mode.
Alternatively, the right cerebrovascular dynamics parameter may comprise a cerebrovascular elasticity index if the right characteristic parameter comprises at least one of a rise time, a rise edge time ratio, and a dicrotic wave height ratio.
Optionally, the method for determining a cerebrovascular kinetic parameter may further include: acquiring a motion posture of a head of a subject; accordingly, the above method may further include at least one of the following operations:
calculating a left difference value of left cerebrovascular dynamics parameters under at least two motion postures;
calculating a right-side difference value of the right-side cerebrovascular kinetic parameters under at least two motion postures;
and calculating a left difference value of the left cerebrovascular kinetic parameters and a right difference value of the right cerebrovascular kinetic parameters under at least two motion postures, and calculating to obtain a posture difference value according to the difference between the left difference value and the right difference value.
Optionally, the obtaining the left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery of the subject at the same time may include:
simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject under at least two wavelengths;
accordingly, the method for determining the cerebrovascular dynamics parameter further comprises at least one of the following operations:
calculating a left pulse difference value of left cerebrovascular kinetic parameters corresponding to the at least two left pulse waves;
calculating a right pulse difference value of the right cerebrovascular kinetic parameters corresponding to the at least two right pulse waves;
and calculating a left pulse difference value of the left cerebrovascular kinetic parameters corresponding to the at least two left pulse waves and a right pulse difference value of the right cerebrovascular kinetic parameters corresponding to the at least two right pulse waves, and calculating to obtain a wavelength difference value according to the difference between the left pulse difference value and the right pulse difference value.
In a second aspect, an embodiment of the present invention further provides an apparatus for determining a cerebrovascular dynamics parameter, where the apparatus may include:
the pulse wave acquisition module is used for simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject;
the left cerebrovascular dynamics parameter determination module is used for extracting left characteristic parameters of the left pulse wave and determining left cerebrovascular dynamics parameters of the left brain according to the left characteristic parameters;
and the right cerebrovascular dynamics parameter determination module is used for extracting right characteristic parameters of the right pulse wave and determining the right cerebrovascular dynamics parameters of the right brain according to the right characteristic parameters.
In a third aspect, an embodiment of the present invention further provides a terminal, where the terminal may include:
one or more processors;
a memory for storing one or more programs;
when executed by one or more processors, the one or more programs cause the one or more processors to implement the method for determining a cerebrovascular kinetic parameter provided by any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for determining a cerebrovascular dynamics parameter provided in any embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, the left cerebrovascular dynamics parameters of the left brain and the right cerebrovascular dynamics parameters of the right brain can be analyzed in a more targeted manner through the acquired left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery; moreover, the simultaneous acquisition of the bilateral pulse waves can eliminate the interference of time difference on the left pulse wave and the right pulse wave, so as to compare the left cerebrovascular dynamics parameters and the right cerebrovascular dynamics parameters singly. The technical scheme can accurately and non-invasively analyze the left side cerebrovascular dynamics parameters and the right side cerebrovascular dynamics parameters in a more targeted manner, and is simple and practical.
Drawings
FIG. 1 is a flow chart of a method for determining a cerebrovascular dynamics parameter according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a left-side pulse wave in a method for determining a cerebrovascular dynamics parameter according to an embodiment of the present invention;
FIG. 3a is a schematic diagram showing the variation of the rise time with age in a method for determining a cerebrovascular dynamics parameter according to a first embodiment of the present invention;
FIG. 3b is a schematic diagram showing the ratio of the rising edge time to the age in the method for determining a cerebrovascular dynamics parameter according to the first embodiment of the present invention;
FIG. 4 is a flowchart of a method for determining a cerebrovascular dynamics parameter according to a second embodiment of the present invention;
FIG. 5 is a flowchart of a method for determining a cerebrovascular dynamics parameter according to a third embodiment of the present invention;
fig. 6 is a block diagram of a device for determining a cerebrovascular dynamics parameter according to a fourth embodiment of the present invention;
fig. 7 is a schematic structural diagram of a terminal in a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for determining a cerebrovascular dynamics parameter according to a first embodiment of the present invention. The present embodiment may be applied to the case of determining a cerebrovascular kinetic parameter, in particular to the case of determining a cerebrovascular kinetic parameter for the left brain and the right brain, respectively. The method may be performed by the apparatus for determining cerebrovascular dynamics parameters provided by the embodiment of the present invention, and the apparatus may be implemented by software and/or hardware, and the apparatus may be integrated on various user terminals or servers.
Referring to fig. 1, the method of the embodiment of the present invention specifically includes the following steps:
and S110, simultaneously acquiring a left pulse wave of a left temporal artery of the detected object and a right pulse wave of a right temporal artery.
The comprehensive information of the form, the strength, the speed, the rhythm and the like presented by the pulse wave at the artery of the human body can accurately reflect the vascular dynamics parameters in the human body, and further reflect the health condition of the human body. Thus, the hemodynamic parameters in the human body can be determined based on the analysis results of the pulse wave.
Specifically, the temporal artery is located near the temple of the subject's head, and when the subject's left-right direction is taken as a reference direction, it can be considered that: the temporal artery near the left temple is the left temporal artery, and correspondingly, the temporal artery near the right temple is the right temporal artery. Further, the left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery may be acquired by at least one of a photoelectric sensor, a force-sensitive sensor, a pressure sensor, a piezoelectric sensor, and a capacitive sensor.
It is worth noting that, firstly, since the temporal artery is located at the head of the subject, the pulse wave of the temporal artery can reflect the blood vessel dynamic parameters of the brain more intuitively; secondly, the brain can be divided into a left brain and a right brain, the obtained left side pulse wave can reflect the vascular dynamics parameters of the left brain more intuitively, and correspondingly, the obtained right side pulse wave can reflect the cerebrovascular dynamics parameters of the right brain more intuitively; and thirdly, the interference of time factors can be eliminated by simultaneously acquiring the left pulse wave and the right pulse wave, and the left pulse wave and the right pulse wave at the same moment are obtained, so that the left pulse wave and the right pulse wave are compared conveniently.
And S120, extracting left side characteristic parameters of the left side pulse wave, and determining left side cerebral vascular dynamics parameters of the left brain according to the left side characteristic parameters.
The left-side feature parameter may include a feature parameter with a time characteristic and/or a feature parameter with an intensity characteristic. For example, as shown in fig. 2, the characteristic parameter with time characteristic may be ejection period time, fast ejection period time, i.e. rise time, diastolic period time, ratio of rise edge time, etc.; the characteristic parameters with the intensity characteristic can be dominant wave height, dicrotic wave height, descending channel height, ratio of the dicrotic wave height to the descending channel height, and the like. Accordingly, left-side cerebrovascular kinetic parameters may include: cerebrovascular elasticity index, temporal artery compliance index, temporal artery peripheral resistance, systolic pressure, diastolic pressure, pulse pressure, heart rate, pulse wave propagation velocity, and the like.
For example, the obtained left pulse wave may be subjected to filtering processing to eliminate high-frequency noise and baseline drift, and further extract left characteristic parameters; the acquired left side pulse wave can be directly input into the trained left side characteristic parameter extraction model to extract the left side characteristic parameter. Of course, the left side feature parameter of the left side pulse wave can also be extracted by other prior art methods, which are not described herein again.
There are various ways to determine the left cerebrovascular dynamics parameter of the left brain according to the left characteristic parameter, for example, the left characteristic parameter can be directly calculated to obtain the left cerebrovascular dynamics parameter; the left characteristic parameters can be directly input into the trained left cerebrovascular dynamics parameter determination model to obtain left cerebrovascular dynamics parameters; the target model corresponding to the left characteristic parameter can be selected from the trained left cerebrovascular dynamics parameter determination models, and the left characteristic parameter is input into the target model to obtain each left cerebrovascular dynamics parameter. Of course, the left-side cerebrovascular dynamics parameter can also be determined by other prior art methods, which are not described in detail herein.
S130, extracting right side characteristic parameters of the right side pulse wave, and determining right side cerebrovascular dynamics parameters of the right brain according to the right side characteristic parameters.
The right pulse wave and the left pulse wave are mainly distinguished by pulse waves acquired from temporal arteries at different positions, and the properties of the right characteristic parameter and the left characteristic parameter derived from the pulse waves are similar; furthermore, the properties of the right and left cerebrovascular kinetic parameters are similar. Therefore, the description of "extracting the right-side characteristic parameter of the right-side pulse wave and determining the right-side cerebrovascular dynamics parameter of the right brain according to the right-side characteristic parameter" may refer to "extracting the left-side characteristic parameter of the left-side pulse wave and determining the left-side cerebrovascular dynamics parameter of the left brain according to the left-side characteristic parameter", which is not described herein again.
Optionally, the right cerebrovascular dynamics parameter may include a cerebrovascular elasticity index when the right characteristic parameter includes at least one of a rise time, a rise edge time ratio, and a dicrotic wave height ratio. Wherein, the rising time can be understood as the time when the pulse wave rises from the lowest point to the highest point; the ratio of the rising edge time can be understood as the ratio of the rising time to the whole pulse period; the ratio of the height of the dicrotic wave to the height of the main wave can be understood as the ratio of the height of the dicrotic wave to the height of the main wave; the cerebrovascular elastic index is considered to be positively correlated with age.
In order to understand the relationship between the right characteristic parameter and the right cerebrovascular dynamics parameter more visually, taking the above alternative as an example, the following conclusions can be drawn: since the cerebrovascular elasticity index can be determined according to at least one of the rise time, the rise edge time ratio and the dicrotic wave height ratio, and the cerebrovascular elasticity index is positively correlated with the age, the age group of the examinee can be determined according to at least one of the rise time, the rise edge time ratio and the dicrotic wave height ratio; of course, the reverse is true.
Exemplarily, on the one hand, the rise time increases gradually with the age group, as shown in fig. 3a, if it is understood from the viewpoint of the rise time and/or the rising edge time ratio; accordingly, as shown in fig. 3b, the rising edge time duty ratio gradually increases with the age group. This is because, at a low age, the elasticity of the blood vessels is good, the speed of the pulse wave rising from the lowest point to the highest point is high, and the rising time and/or the rising edge time are small; accordingly, with age, the elasticity of the blood vessel deteriorates, the speed of the pulse wave rising from the lowest point to the highest point becomes slow, and the rising time and/or the rising edge time ratio becomes large.
On the other hand, if understood from the perspective of the dicrotic wave height ratio, the dicrotic wave height ratio gradually increases with age. This is because when the age is small, the elasticity of blood vessels is good, the difference between the dicrotic wave and the main wave is obvious, and the height of the dicrotic wave is small; correspondingly, with the age, the elasticity of the blood vessel becomes poor, the dicrotic wave gradually approaches to the main wave, even the dicrotic wave may coincide with the main wave, and the ratio of height of the dicrotic wave becomes large.
According to the technical scheme of the embodiment of the invention, the left cerebrovascular dynamics parameters of the left brain and the right cerebrovascular dynamics parameters of the right brain can be analyzed in a more targeted manner through the acquired left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery; moreover, the simultaneous acquisition of the bilateral pulse waves can eliminate the interference of time difference on the left pulse wave and the right pulse wave, so as to compare the left cerebrovascular dynamics parameters and the right cerebrovascular dynamics parameters singly. The technical scheme can accurately and non-invasively analyze the left side cerebrovascular dynamics parameters and the right side cerebrovascular dynamics parameters in a more targeted manner, and is simple and practical.
On the basis of the above technical solution, the method for determining a cerebral blood vessel dynamic parameter may specifically include: and determining the working state of the cerebral vessels of the detected person according to the left cerebral vessel dynamic parameter and the right cerebral vessel dynamic parameter.
The implementation of the above steps is various, for example, the difference between the left cerebrovascular dynamics parameter and a preset left baseline parameter can be compared; the difference between the right cerebrovascular dynamics parameters of the file and the preset right reference parameters can be compared; the difference between the left and right cerebrovascular kinetic parameters can be compared; and comparing the change trend of the left cerebral vascular dynamics parameter with the difference of the change trend of the right cerebral vascular dynamics parameter within a preset sampling time, and the like. Further, the operating state of the cerebral blood vessel of the subject is determined based on the difference in at least one of the above cases.
For example, if the left-side cerebrovascular dynamics parameter and the right-side cerebrovascular dynamics parameter are of the same type, a bilateral difference value may be obtained based on a difference operation between the left-side cerebrovascular dynamics parameter and the right-side cerebrovascular dynamics parameter, and the operating state of the cerebral vessel of the subject may be determined according to the bilateral difference value.
Specifically, there are many ways to determine the working state of the cerebral blood vessel according to the above discrepancy in at least one condition, for example, if there is a mapping relationship between the above discrepancy and the working state, the working state of the cerebral blood vessel can be determined according to the mapping relationship and the discrepancy; if the trained working state determination model exists, the differences can be directly input into the working state determination model to determine the working state of the cerebral blood vessel. The working state may include a healthy working state, a sub-healthy working state, a risky working state, and the like, and the specific classification of the working state may be obtained by a doctor according to clinical data, or obtained by learning according to a neural network, and the like.
The advantage of the above steps is that the difference between the left cerebral blood flow condition and the right cerebral blood flow condition can be compared to determine whether the left cerebral blood flow condition and the right cerebral blood flow condition are in a balance state. When the brain is not in the equilibrium state, the lesion caused by the left brain or the right brain can be further judged.
Optionally, when at least one of the left cerebrovascular dynamics parameter, the right cerebrovascular dynamics parameter, the difference between the left cerebrovascular dynamics parameter and the preset left baseline parameter, the difference between the right cerebrovascular dynamics parameter and the preset right baseline parameter, and the difference between the left cerebrovascular dynamics parameter and the preset right baseline parameter exceeds a preset numerical range, the risk is reminded based on a preset reminding mode. For example, the risk alert may be made by at least one of sound, light, and vibration; for another example, the risk reminding signal can be transmitted to at least one preset user terminal, so that the user can pay attention to the condition of the subject in time.
On the basis of the above technical solutions, optionally, the left pulse wave and the right pulse wave may be obtained through preset pulse wave detection equipment. Specifically, the pulse wave detection apparatus may include two pulse wave detection modules and a wearing member for fixing the at least two pulse wave detection modules. The two pulse wave detection modules are respectively used for acquiring the left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery. The pulse wave detection module may include a housing and a photosensor disposed inside the housing. In order to ensure the accuracy of the detected pulse wave, the photoelectric sensor needs to be protected from light. Then, the housing for accommodating the photosensor in the pulse wave detection module may include a light-shielding region and a light-transmitting region. The detection surface of the photoelectric sensor is arranged opposite to the light transmission area, and the surface except the detection surface of the photoelectric sensor is arranged opposite to the light shielding area. In practical application, the light transmission area is directly attached to the area to be detected, so that the photoelectric sensor can only receive the optical signal of the area to be detected through the light transmission area, and the accuracy of pulse wave detection is improved.
Example two
Fig. 4 is a flowchart of a method for determining a cerebrovascular dynamics parameter according to a second embodiment of the present invention. The present embodiment is optimized based on the above technical solutions. In this embodiment, optionally, the method may further include: acquiring a motion posture of a head of a subject; accordingly, the method further comprises at least one of the following operations: calculating a left difference value of left cerebrovascular dynamics parameters under at least two motion postures; calculating a right-side difference value of the right-side cerebrovascular kinetic parameters under at least two motion postures; and calculating a left difference value of the left cerebrovascular kinetic parameters and a right difference value of the right cerebrovascular kinetic parameters under at least two motion postures, and calculating to obtain a posture difference value according to the difference between the left difference value and the right difference value. The same or corresponding terms as those in the above embodiments are not explained in detail herein.
As shown in fig. 4, the method of this embodiment may specifically include the following steps:
s210, obtaining the movement posture of the head of the detected person, and simultaneously obtaining the left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery of the detected person.
Wherein the movement posture of the head may include at least one of a still posture, a standing posture, a sitting posture, a walking posture, a running posture, a neck turning posture and a sleeping posture; the sleeping positions may further include at least one of a prone position, a supine position, a left lying position, and a right lying position; alternatively, left lying postures within different inclination angle ranges can be considered as different motion postures.
Because the vascular dynamics parameters of the brain in different postures may have difference, whether the difference is in a reasonable range has great clinical research significance. Therefore, the left pulse wave, the right pulse wave, and the movement posture of the head are all necessary to be acquired. Optionally, the left pulse wave, the right pulse wave and the movement posture of the head at the same time may be obtained to eliminate interference caused by temporal differences.
Specifically, the motion posture of the head of the subject may be acquired by a motion sensor, which may include at least one of a gyro sensor, an acceleration sensor, and a tilt sensor. Alternatively, the motion sensor may be disposed directly on the wearing part, and may also be disposed in the at least one pulse wave detection module. It is understood that the larger the number of motion sensors, the more accurate the detected motion posture of the subject's head.
S220, extracting left side characteristic parameters of the left side pulse wave, and determining left side cerebral vascular dynamics parameters of the left brain according to the left side characteristic parameters.
And S230, extracting right side characteristic parameters of the right side pulse wave, and determining right side cerebrovascular dynamics parameters of the right brain according to the right side characteristic parameters.
And S240, calculating the left difference of the left cerebral vascular dynamics parameters under at least two motion postures.
And S250, calculating the right side difference value of the right side cerebrovascular dynamics parameters under at least two motion postures.
And S260, calculating a left difference value of the left cerebrovascular dynamics parameters and a right difference value of the right cerebrovascular dynamics parameters under at least two motion postures, and calculating to obtain a posture difference value according to the difference between the left difference value and the right difference value.
The technical solutions of S240 to S260 are parallel technical solutions, and at least one of the technical solutions may be implemented in the embodiment of the present invention. That is, the embodiment of the present invention may implement any one of the technical solutions, any two of the technical solutions, or all the technical solutions.
Specifically, it can be determined whether at least one of the left-side difference, the right-side difference, and the posture difference obtained in the above steps is within a reasonable range, so that it can be evaluated whether the blood flow conditions of the left brain and the right brain in different postures are in a balanced state.
For example, taking all the technical solutions in S240-S260 as examples, when the left-side difference value, the right-side difference value and the posture difference value are in the range of 20% -30%, the blood flow conditions of the left brain and the right brain of the subject can be considered to be in a balanced state; when at least one of the left-side difference, the right-side difference, and the posture difference is less than 10%, it may be considered that the neural sensitivity of the subject is weak; when at least one of the left-side difference, the right-side difference, and the posture difference is greater than 50%, it can be considered that the neural sensitivity of the subject is too strong, which may be caused by cerebrovascular insufficiency.
According to the technical scheme of the embodiment of the invention, the acquired motion posture of the head is combined with the left pulse wave and the right pulse wave, so that the difference between the left cerebrovascular dynamics parameter and the right cerebrovascular dynamics parameter in different postures can be evaluated, and further whether the blood flow condition of the left brain and the blood flow condition of the right brain are in a balanced state or not can be evaluated.
EXAMPLE III
Fig. 5 is a flowchart of a method for determining a cerebrovascular dynamics parameter according to a third embodiment of the present invention. The present embodiment is optimized based on the above technical solutions. In this embodiment, optionally, the obtaining the left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery of the subject at the same time may specifically include: simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject under at least two wavelengths; accordingly, the method further comprises at least one of the following operations: calculating a left pulse difference value of left cerebrovascular kinetic parameters corresponding to the at least two left pulse waves; calculating a right pulse difference value of the right cerebrovascular kinetic parameters corresponding to the at least two right pulse waves; and calculating a left pulse difference value of the left cerebrovascular kinetic parameters corresponding to the at least two left pulse waves and a right pulse difference value of the right cerebrovascular kinetic parameters corresponding to the at least two right pulse waves, and calculating to obtain a wavelength difference value according to the difference between the left pulse difference value and the right pulse difference value. The same or corresponding terms as those in the above embodiments are not explained in detail herein.
As shown in fig. 5, the method of this embodiment may specifically include the following steps:
s310, simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery under at least two wavelengths of the subject.
When the left pulse wave and the right pulse wave are obtained based on the photoelectric sensor, because the light with different wavelengths penetrates through tissues with different depths, the reflected light signals received by the photoelectric sensor, namely the pulse waves, can have differences, and the cerebral blood vessel dynamics parameters can also be reflected according to the differences. Therefore, the left side pulse wave and the right side pulse wave at least two wavelengths can be obtained, and the at least two wavelengths are different from each other.
Alternatively, taking a dual-wavelength photosensor as an example, the two wavelengths of light may include red light and infrared light, wherein the wavelength of the red light may be in the range of 630 nm to 680 nm, and the wavelength of the infrared light may be in the range of 800 nm to 950 nm, so that the photosensor can determine the blood oxygen level of the cerebral blood vessels, and the reflected light signals received by the photosensor at different wavelengths are related to the blood oxygen level.
And S320, extracting left side characteristic parameters of the left side pulse wave, and determining left side cerebral vascular dynamics parameters of the left brain according to the left side characteristic parameters.
S330, extracting right side characteristic parameters of the right side pulse wave, and determining right side cerebrovascular dynamics parameters of the right brain according to the right side characteristic parameters.
And S340, calculating left pulse difference values of the left cerebral vascular dynamics parameters corresponding to the at least two left pulse waves.
S350, calculating a right pulse difference value of the right cerebrovascular kinetic parameters corresponding to the at least two right pulse waves.
S360, calculating a left pulse difference value of the left cerebrovascular dynamics parameters corresponding to the at least two left pulse waves and a right pulse difference value of the right cerebrovascular dynamics parameters corresponding to the at least two right pulse waves, and calculating according to the difference between the left pulse difference value and the right pulse difference value to obtain a wavelength difference value.
The technical solutions of S340 to S360 are parallel technical solutions, and at least one of the technical solutions may be implemented in the embodiment of the present invention. That is, the embodiment of the present invention may implement any one of the technical solutions, any two of the technical solutions, or all the technical solutions.
Specifically, it can be determined whether at least one of the left pulse difference, the right pulse difference, and the wavelength difference obtained in the above steps is within a reasonable range, so that it can be evaluated whether the blood flow conditions of the left brain and the right brain at different wavelengths are in a balanced state.
Exemplarily, taking all the technical solutions in S340-S360 as examples, the first left pulse wave and the first right pulse wave are obtained based on light with a wavelength of 650 nm, and the second left pulse wave and the second right pulse wave are obtained based on light with a wavelength of 905 nm; correspondingly, a left pulse difference value can be obtained through the difference operation of the first left-side cerebrovascular dynamics parameter and the second left-side cerebrovascular dynamics parameter, a right pulse difference value can be obtained through the difference operation of the first right-side cerebrovascular dynamics parameter and the second right-side cerebrovascular dynamics parameter, and a wavelength difference value can be obtained through the left pulse difference value and the right pulse difference value. Then, the left pulse difference value may be used to evaluate whether the blood flow condition of the left brain cerebral blood vessels is in an equilibrium state, the right pulse difference value may be used to evaluate whether the blood flow condition of the right brain cerebral blood vessels is in an equilibrium state, and the wavelength difference value may be used to evaluate whether the difference between the blood flow conditions of the left brain and the right brain is in an equilibrium state.
According to the technical scheme of the embodiment of the invention, the difference between the left cerebrovascular dynamics parameter and the right cerebrovascular dynamics parameter under different wavelengths can be evaluated by acquiring the left pulse wave and the right pulse wave under different wavelengths, and further the difference can be used for evaluating whether the blood flow condition of the left brain and the blood flow condition of the right brain are in a balanced state.
Example four
Fig. 6 is a block diagram of a device for determining a cerebrovascular dynamics parameter according to a fourth embodiment of the present invention, which is used to execute the method for determining a cerebrovascular dynamics parameter according to any of the embodiments described above. The device and the method for determining a cerebrovascular kinetic parameter of each embodiment belong to the same inventive concept, and details that are not described in detail in the embodiment of the device for determining a cerebrovascular kinetic parameter may refer to the embodiment of the method for determining a cerebrovascular kinetic parameter. Referring to fig. 6, the apparatus may specifically include: a pulse wave acquisition module 410, a left cerebrovascular dynamics parameter determination module 420 and a right cerebrovascular dynamics parameter determination module 430.
The pulse wave acquisition module 410 is configured to acquire a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject at the same time;
a left cerebrovascular dynamics parameter determining module 420, configured to extract a left characteristic parameter of the left pulse wave, and determine a left cerebrovascular dynamics parameter of the left brain according to the left characteristic parameter;
and a right cerebrovascular dynamics parameter determining module 430, configured to extract a right characteristic parameter of the right pulse wave, and determine a right cerebrovascular dynamics parameter of the right brain according to the right characteristic parameter.
Optionally, on the basis of the above apparatus, the apparatus may further include:
and the cerebrovascular working state determining module is used for determining the cerebrovascular working state of the detected person according to the left cerebrovascular kinetic parameter and the right cerebrovascular kinetic parameter.
Optionally, the cerebrovascular operating state determining module may be specifically configured to:
if the type of the left cerebrovascular dynamics parameter is the same as that of the right cerebrovascular dynamics parameter, calculating bilateral difference values of the left cerebrovascular dynamics parameter and the right cerebrovascular dynamics parameter, and determining the working state of the cerebral vessels of the detected person according to the bilateral difference values.
Optionally, on the basis of the above apparatus, the apparatus may further include:
and the reminding module is used for carrying out risk reminding based on a preset reminding mode when at least one of the left cerebrovascular dynamics parameter, the right cerebrovascular dynamics parameter and the bilateral difference value exceeds a preset numerical range.
Optionally, the right cerebrovascular dynamics parameter comprises a cerebrovascular elasticity index if the right characteristic parameter comprises at least one of a rise time, a rise edge time ratio, and a dicrotic wave height ratio.
Optionally, on the basis of the above apparatus, the apparatus may further include:
the motion posture acquisition module is used for acquiring the motion posture of the head of the examinee; correspondingly, the apparatus may further comprise at least one of the following:
the left difference calculation module is used for calculating the left difference of the left cerebrovascular dynamics parameters under at least two motion postures;
the right side difference value calculation module is used for calculating the right side difference value of the right side cerebrovascular kinetic parameters under at least two motion postures;
and the attitude difference value calculating module is used for calculating a left side difference value of the left side cerebrovascular dynamics parameters and a right side difference value of the right side cerebrovascular dynamics parameters under at least two motion attitudes and calculating to obtain an attitude difference value according to the difference of the left side difference value and the right side difference value.
Optionally, the pulse wave acquiring module 410 may be specifically configured to: simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject under at least two wavelengths;
correspondingly, the apparatus may further comprise at least one of the following:
the left pulse difference value calculation module is used for calculating left pulse difference values of left cerebrovascular kinetic parameters corresponding to the at least two left pulse waves;
the pulse difference value calculation module is used for calculating the right pulse difference value of the right cerebrovascular kinetic parameters corresponding to the at least two right pulse waves;
and the wavelength difference value calculation module is used for calculating a left pulse difference value of the left cerebrovascular dynamics parameters corresponding to the at least two left pulse waves and a right pulse difference value of the right cerebrovascular dynamics parameters corresponding to the at least two right pulse waves, and calculating to obtain a wavelength difference value according to the difference between the left pulse difference value and the right pulse difference value.
The device for determining cerebrovascular dynamics parameters provided by the fourth embodiment of the invention can acquire the left pulse wave of the left temporal artery and the right pulse wave of the right temporal artery by the mutual matching of the modules, and further can analyze the left cerebrovascular dynamics parameters of the left brain and the right cerebrovascular dynamics parameters of the right brain more specifically. The device can accurately and non-invasively analyze the left side cerebrovascular dynamics parameters and the right side cerebrovascular dynamics parameters in a targeted manner, and is simple and practical.
The device for determining the cerebrovascular dynamics parameters provided by the embodiment of the invention can execute the method for determining the cerebrovascular dynamics parameters provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the apparatus for determining a cerebrovascular kinetic parameter, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
EXAMPLE five
Fig. 7 is a schematic structural diagram of a terminal according to a fifth embodiment of the present invention, as shown in fig. 7, the terminal includes a memory 510, a processor 520, an input device 530, and an output device 540. The number of the processors 520 in the terminal may be one or more, and one processor 520 is taken as an example in fig. 7; the memory 510, processor 520, input device 530, and output device 540 in the terminal may be connected by a bus or other means, such as by bus 550 in fig. 7.
The memory 510 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the determination method of cerebrovascular dynamics parameters in the embodiment of the present invention (for example, the pulse wave acquisition module 410, the left cerebrovascular dynamics parameter determination module 420, and the right cerebrovascular dynamics parameter determination module 430 in the determination device of cerebrovascular dynamics parameters). The processor 520 executes various functional applications and data processing of the terminal by executing software programs, instructions and modules stored in the memory 510, so as to implement the above-mentioned determination method of the cerebrovascular dynamics parameters.
The memory 510 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 510 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 510 may further include memory located remotely from processor 520, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the device. The output device 540 may include a display device such as a display screen.
EXAMPLE six
A sixth embodiment of the present invention provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for determining a cerebrovascular dynamics parameter, the method comprising:
simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject;
extracting left characteristic parameters of the left pulse wave, and determining left cerebrovascular dynamics parameters of the left brain according to the left characteristic parameters;
and extracting right side characteristic parameters of the right side pulse wave, and determining right side cerebrovascular dynamics parameters of the right brain according to the right side characteristic parameters.
Of course, the embodiments of the present invention provide a storage medium containing computer-executable instructions, where the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the method for determining a cerebrovascular dynamics parameter provided in any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. With this understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (7)
1. A device for determining a cerebrovascular kinetic parameter, comprising:
the pulse wave acquisition module is used for simultaneously acquiring a left pulse wave of a left temporal artery and a right pulse wave of a right temporal artery of a subject;
the left cerebrovascular dynamics parameter determination module is used for extracting left characteristic parameters of the left pulse wave and determining left cerebrovascular dynamics parameters of the left brain according to the left characteristic parameters;
the right cerebrovascular dynamics parameter determination module is used for extracting right characteristic parameters of the right pulse wave and determining right cerebrovascular dynamics parameters of a right brain according to the right characteristic parameters;
the left difference calculation module is used for calculating the left difference of the left cerebrovascular dynamics parameters under at least two motion postures;
the right side difference value calculation module is used for calculating the right side difference value of the right side cerebrovascular dynamics parameters under at least two motion postures;
the attitude difference value calculation module is used for calculating a left side difference value of the left side cerebrovascular dynamics parameters and a right side difference value of the right side cerebrovascular dynamics parameters under at least two motion attitudes and calculating to obtain an attitude difference value according to the difference between the left side difference value and the right side difference value;
the left pulse difference value calculation module is used for calculating the left pulse difference value of the left cerebral vascular dynamics parameters corresponding to at least two left pulse waves;
the left pulse difference value is used for evaluating whether the blood flow condition of the cerebral vessels of the left brain is in a balanced state;
the pulse difference value calculating module is used for calculating a right pulse difference value of the right cerebrovascular dynamics parameters corresponding to the at least two right pulse waves;
the right pulse difference value is used for evaluating whether the blood flow condition of the cerebral vessels of the right brain is in a balanced state;
the wavelength difference calculation module is used for calculating a left pulse difference value of the left cerebrovascular dynamics parameters corresponding to the at least two left pulse waves and a right pulse difference value of the right cerebrovascular dynamics parameters corresponding to the at least two right pulse waves, and calculating to obtain a wavelength difference value according to the difference between the left pulse difference value and the right pulse difference value;
the wavelength difference is used for evaluating whether the difference of the blood flow conditions of the left brain and the right brain is in an equilibrium state.
2. The apparatus of claim 1, further comprising:
and the cerebrovascular working state determining module is used for determining the cerebrovascular working state of the detected person according to the left cerebrovascular kinetic parameter and the right cerebrovascular kinetic parameter.
3. The apparatus according to claim 2, wherein the cerebrovascular operating state determining module is specifically configured to:
if the left cerebrovascular dynamics parameter and the right cerebrovascular dynamics parameter are the same in type, calculating a bilateral difference value of the left cerebrovascular dynamics parameter and the right cerebrovascular dynamics parameter, and determining the working state of the cerebral vessels of the detected person according to the bilateral difference value.
4. The apparatus of claim 3, further comprising:
and the reminding module is used for carrying out risk reminding based on a preset reminding mode when at least one of the left cerebrovascular dynamics parameter, the right cerebrovascular dynamics parameter and the bilateral difference value exceeds a preset numerical range.
5. The apparatus of claim 1, wherein the right cerebrovascular dynamics parameter comprises a cerebrovascular elasticity index if the right side characteristic parameter comprises at least one of a rise time, a rise edge time ratio, and a dicrotic wave height ratio.
6. A terminal, characterized in that the terminal comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the apparatus for determining cerebrovascular kinetic parameters of any of claims 1-5.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a device for determining a cerebrovascular dynamical parameter according to any one of claims 1-5.
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