Disclosure of Invention
The invention aims to provide a cerebral blood oxygen monitoring method, a terminal and a cerebral blood oxygen monitoring system, which are used for solving the problems that a cerebral blood oxygen monitoring scheme in the prior art is not simple enough or accurate enough.
In order to achieve the above purpose, the technical scheme adopted by the invention is to provide a cerebral blood oxygen monitoring method, wherein the cerebral blood oxygen monitoring method is realized based on a cerebral blood oxygen sensor arranged on the forehead of a tested user, the cerebral blood oxygen sensor comprises a light source array and a receiver array which are arranged in parallel, the distance between the light source array and the receiver array is adjustable, and the cerebral blood oxygen monitoring method comprises the following steps:
obtaining physical sign information of a tested user, and predicting the thickness of a covered tissue of the tested user according to the physical sign information, wherein the covered tissue refers to a tissue covering cerebral cortex;
Controlling the cerebral blood oxygen sensor to detect the brain of the tested user, acquiring optical signal data of the receiver array, and processing the optical signal data based on Lanbert-beer law to obtain the initial cerebral blood oxygen content of the tested user;
Acquiring the ambient brightness and the light source brightness when the cerebral blood oxygen sensor detects, and calculating to obtain a correction coefficient of the initial cerebral blood oxygen content based on the ambient brightness, the light source brightness and the thickness of the covered tissue;
And correcting the initial cerebral blood oxygen content based on the correction coefficient to obtain the final cerebral blood oxygen content.
In one possible implementation, the physical sign information includes height, weight, age, gender, head circumference and brain injury information, and the predicting the thickness of the covered tissue of the tested user according to the physical sign information includes:
Generating a feature vector for describing the sign of the tested user according to the height, weight, age, sex, head circumference and brain injury information of the tested user;
And inputting the feature vector into a pre-trained first deep learning model, and predicting to obtain the thickness of the covered tissue of the tested user.
In one possible implementation, the determining the first distance based on the thickness of the covered tissue includes:
determining a thickness range to which the thickness of the covering tissue belongs;
The first distance is determined based on a pre-calibrated correspondence of the thickness range to the first distance.
In one possible implementation, the cerebral blood oxygen monitoring method further includes:
setting a plurality of thickness ranges of the covering tissue, and for any set thickness range, performing the following steps:
obtaining first cerebral blood oxygen content of a target user, wherein the target user is a user which accords with the thickness range and has just undergone invasive detection of cerebral blood oxygen, and the first cerebral blood oxygen content is the cerebral blood oxygen content measured when the target user performs invasive detection of cerebral blood oxygen;
After each distance adjustment, performing brain detection on the target user based on a brain blood oxygen sensor after distance adjustment, and calculating the brain blood oxygen content of the target user according to a brain detection result to obtain a second brain blood oxygen content;
And calculating the difference between the first cerebral blood oxygen content and each second cerebral blood oxygen content, and determining the distance corresponding to the second cerebral blood oxygen content with the smallest difference between the first cerebral blood oxygen content as the first distance corresponding to the thickness range.
In one possible implementation, the calculating the correction factor for cerebral blood oxygen content based on the ambient brightness, the light source brightness, and the thickness of the covered tissue includes:
And inputting the environment brightness, the light source brightness and the thickness of the covered tissue into a second deep learning model trained in advance to obtain a correction coefficient of the cerebral blood oxygen content.
In one possible implementation, the cerebral blood oxygen monitoring method further includes:
obtaining first cerebral blood oxygen content of a target user, wherein the target user is a user which accords with the thickness range and has just undergone invasive detection of cerebral blood oxygen, and the first cerebral blood oxygen content is the cerebral blood oxygen content measured when the target user performs invasive detection of cerebral blood oxygen;
Taking the target user as a tested user, detecting the brain of the target user based on the cerebral blood oxygen sensor, and acquiring initial cerebral blood oxygen content corresponding to the target user;
determining a theoretical correction factor based on a ratio of the first cerebral blood oxygen content to the initial cerebral blood oxygen content;
acquiring the ambient brightness and the light source brightness when the brain detection is carried out on the target user based on the cerebral blood oxygen sensor, and acquiring the thickness of the covered tissue of the target user;
And taking the environment brightness and the light source brightness when the target user performs brain detection, the thickness of the covered tissue of the target user and the theoretical correction coefficient as a training set, and training based on the training set to obtain the second deep learning model.
In one possible implementation manner, the correcting the initial cerebral blood oxygen content based on the correction coefficient to obtain the final cerebral blood oxygen content includes:
and determining the product of the correction coefficient and the initial cerebral blood oxygen content as the final cerebral blood oxygen content.
In one possible implementation, the cerebral blood oxygen sensor further comprises a bendable fixing device, the light source array and the receiver array are arranged on the fixing device, the fixing device is clung to the forehead of the tested user when the cerebral blood oxygen sensor performs cerebral detection, and the cerebral blood oxygen monitoring method further comprises the following steps before the distance between the light source array and the receiver array is adjusted to be a first distance:
Acquiring the forehead radian of a tested user;
And increasing the first distance based on the forehead radian of the tested user.
In another aspect of the present invention, there is also provided a cerebral blood oxygen monitoring terminal including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the cerebral blood oxygen monitoring method described above when executing the computer program.
In yet another aspect of the present invention, there is also provided a cerebral blood oxygen monitoring system comprising
A cerebral blood oxygen sensor and the cerebral blood oxygen monitoring terminal described above electrically connected to the cerebral blood oxygen sensor;
The cerebral blood oxygen sensor comprises a fixing device, a light source array and a receiver array, wherein the light source array and the receiver array are arranged on the fixing device in parallel, and the distance between the light source array and the receiver array is adjustable;
when the cerebral blood oxygen sensor detects the brain, the fixing device is clung to the forehead of the tested user, the near infrared light source on the fixing device emits near infrared light, after the near infrared light is scattered by the brain of the tested user, the light source receiver on the fixing device receives scattered near infrared light signals, and the near infrared light signals are used for calculating the cerebral blood oxygen content of the tested user.
The cerebral blood oxygen monitoring method, the terminal and the cerebral blood oxygen monitoring system provided by the invention have the beneficial effects that:
The inventor of the application analyzes and verifies factors influencing the monitoring accuracy during noninvasive monitoring of cerebral blood oxygen, and discovers that the thickness of covered tissues, the ambient brightness and the light source brightness can influence the monitoring accuracy. Accordingly, embodiments of the present application provide a cerebral blood oxygen monitoring scheme based on this finding.
In a first aspect, embodiments of the present invention provide a cerebral blood oxygen sensor in which a distance between a light source array and a receiver array is adjustable. On the basis, the embodiment of the invention can predict the thickness of the covered tissue of the tested user according to the physical sign information of the tested user, and further adjust the distance between the light source array and the receiver array according to the thickness of the covered tissue, so as to ensure that the light emitted by the light source array can be fully scattered and absorbed in the brain of the tested user, thereby improving the monitoring precision of cerebral blood oxygen.
In a second aspect, after determining the cerebral blood oxygen content, the embodiment of the invention calculates a correction coefficient according to an internal factor (i.e. the thickness of the covered tissue) and an external factor (i.e. the ambient brightness and the light source brightness), and corrects the initial cerebral blood oxygen content obtained by the preliminary calculation on the basis of the correction coefficient to obtain the final cerebral blood oxygen content. Based on the scheme of the embodiment of the invention, the influence of internal and external factors on cerebral blood oxygen monitoring can be effectively reduced, so that the accuracy of cerebral blood oxygen monitoring is improved.
In summary, the embodiment of the invention provides a novel noninvasive cerebral blood oxygen monitoring scheme, and the monitoring accuracy can be effectively improved while the simplicity and the convenience are ensured based on the scheme of the embodiment of the invention.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention will be described in further detail with reference to the drawings and the detailed description.
The cerebral blood oxygen monitoring method provided by the embodiment of the invention is realized based on the cerebral blood oxygen sensor arranged on the forehead of the tested user. The cerebral blood oxygen sensor comprises a light source array and a receiver array which are arranged in parallel, and the distance between the light source array and the receiver array is adjustable. When the cerebral blood oxygen sensor is used for measuring the forehead of a user, each light source in the light source array emits near infrared light, after the near infrared light is absorbed and scattered by the brain of the user, the scattered near infrared light is received by a receiver in the receiver array, and on the basis, the cerebral blood oxygen content of the user can be calculated according to the near infrared light received by the receiver. Specifically, the absorption condition of the brain to the near infrared light can be judged according to the near infrared light received by the receiver, and the cerebral blood oxygen content of the tested user can be judged according to the absorption condition.
On the basis of the above description, reference may be made to fig. 1, and fig. 1 is a schematic flow chart of a cerebral blood oxygen monitoring method according to an embodiment of the present invention, where the cerebral blood oxygen monitoring method according to the embodiment of the present invention includes:
S101, acquiring the physical sign information of the tested user, and predicting the thickness of the covered tissue of the tested user according to the physical sign information. Covered tissue refers to tissue that covers the cerebral cortex.
In this embodiment, considering that other structures (i.e. the covered tissue described in this embodiment) outside the human brain will absorb near infrared light, thereby affecting the accuracy of monitoring the cerebral blood oxygen content, the embodiment of the present invention eliminates the interference of the other structures from two aspects:
in the first aspect, the thickness of the covered tissue is predicted by using the sign information, so that a proper receiving and transmitting distance is selected, the near infrared light is ensured to have a proper optical path, the deep brain layer can be ensured to be achieved, excessive scattering/absorption caused by overlong optical path is avoided, and the receiver cannot effectively receive the near infrared light, so that monitoring is influenced. The transceiving distance can refer to fig. 2, where d in fig. 2 is the transceiving distance, which is the distance between the light source array and the receiver array.
In a second aspect, the embodiment of the invention also generates a correction coefficient according to the thickness of the covered tissue to correct the calculated initial cerebral blood oxygen content, thereby eliminating the interference of the covered tissue and improving the monitoring precision.
In this embodiment, considering that the thickness of the covered tissue is related to the sign of the person of the tested user, the embodiment of the invention can consider that the sign information of the tested user is acquired, and the thickness of the covered tissue of the tested user is predicted according to the sign information of the tested user, so that the adjustment of the receiving and transmitting distance of the cerebral blood oxygen sensor and the calculation of the subsequent correction coefficient are performed based on the thickness.
In embodiments of the invention, the covered tissue includes, but is not limited to, scalp, skull, meninges, cerebrospinal fluid, and the like.
S102, determining a first distance based on the thickness of the covered tissue, and adjusting the distance between the light source array and the receiver array to the first distance. And controlling a cerebral blood oxygen sensor to detect the brain of the tested user, acquiring optical signal data of a receiver array, and processing the optical signal data based on the Langber-beer law to obtain the initial cerebral blood oxygen content of the tested user.
In this embodiment, as described above, the purpose of adjusting the distance between the light source array and the receiver array to be the first distance is to select a suitable receiving-transmitting distance to ensure that the near infrared light has a suitable optical path, so that the near infrared light can enter deep brain layers, and excessive scattering/absorption caused by overlong optical path is avoided, and further the receiver cannot effectively receive the near infrared light, which affects monitoring.
On the basis, after the distance between the light source array and the receiver array in the cerebral blood oxygen sensor is adjusted to be the first distance, the brain of the tested user can be detected based on the cerebral blood oxygen sensor after the distance adjustment, namely, the cerebral blood oxygen sensor after the distance adjustment is covered and arranged on the forehead of the tested user so as to detect the brain of the tested user. After the detection of the cerebral blood oxygen sensor is finished, near infrared light signals which are received by the receiver array and not absorbed by the brain of the tested user can be obtained, and the cerebral blood oxygen content of the tested user is calculated based on the light signal data received by the receiver array. Specifically, the optical signal data may be processed according to the lambert-beer law, the cerebral blood oxygen content of the user to be measured may be calculated, and the cerebral blood oxygen content calculated at this time may be used as the initial cerebral blood oxygen content.
In this embodiment, "processing the optical signal data to calculate the cerebral blood oxygen content based on the lambert-beer law" may be implemented based on the existing means, and this embodiment will not be described in detail.
And S103, acquiring the ambient brightness and the light source brightness when the cerebral blood oxygen sensor detects, and calculating to obtain the correction coefficient of the initial cerebral blood oxygen content based on the ambient brightness, the light source brightness and the thickness of the covered tissue.
In this embodiment, the inventors of the present application found that the accuracy of monitoring the cerebral blood oxygen content is different under different ambient brightnesses, because the relative magnitudes of the ambient brightness and the light source brightness affect the propagation and detection of near infrared light to some extent, the embodiments of the present application take the ambient brightness and the light source brightness as external factors that affect the accuracy of monitoring the cerebral blood oxygen content, take the thickness of the covered tissue as internal factors that affect the accuracy of monitoring the cerebral blood oxygen content, and determine correction coefficients based on the internal factors and the external factors to achieve the correction of the initial cerebral blood oxygen content, so as to exclude the influence of the internal factors and the external factors on the monitoring of the cerebral blood oxygen content as much as possible.
And S104, correcting the initial cerebral blood oxygen content based on the correction coefficient to obtain the final cerebral blood oxygen content.
In this embodiment, the correction coefficient ranges from 0.7 to 1.3. The correction of the initial cerebral blood oxygen content based on the correction coefficient can be described as follows:
the product of the correction factor and the initial cerebral blood oxygen content is determined as the final cerebral blood oxygen content.
The inventor of the application analyzes and verifies factors influencing the monitoring accuracy during noninvasive monitoring of cerebral blood oxygen, and discovers that the thickness of covered tissues, the ambient brightness and the light source brightness can influence the monitoring accuracy. Accordingly, embodiments of the present application provide a cerebral blood oxygen monitoring scheme based on this finding.
In a first aspect, embodiments of the present invention provide a cerebral blood oxygen sensor in which a distance between a light source array and a receiver array is adjustable. On the basis, the embodiment of the invention can predict the thickness of the covered tissue of the tested user according to the physical sign information of the tested user, and further adjust the distance between the light source array and the receiver array according to the thickness of the covered tissue, so as to ensure that the light emitted by the light source array can be fully scattered and absorbed in the brain of the tested user, thereby improving the monitoring precision of cerebral blood oxygen.
In a second aspect, after determining the cerebral blood oxygen content, the embodiment of the invention calculates a correction coefficient according to an internal factor (i.e. the thickness of the covered tissue) and an external factor (i.e. the ambient brightness and the light source brightness), and corrects the initial cerebral blood oxygen content obtained by the preliminary calculation on the basis of the correction coefficient to obtain the final cerebral blood oxygen content. Based on the scheme of the embodiment of the invention, the influence of internal and external factors on cerebral blood oxygen monitoring can be effectively reduced, so that the accuracy of cerebral blood oxygen monitoring is improved.
In summary, the embodiment of the invention provides a novel noninvasive cerebral blood oxygen monitoring scheme, and the monitoring accuracy can be effectively improved while the simplicity and the convenience are ensured based on the scheme of the embodiment of the invention.
In one possible implementation, the vital sign information includes height, weight, age, gender, head circumference, and brain injury information. Predicting the thickness of the covered tissue of the tested user according to the sign information, comprising:
And generating a characteristic vector for describing the sign of the tested user according to the height, weight, age, sex, head circumference and brain injury information of the tested user.
And inputting the feature vector into a pre-trained first deep learning model, and predicting to obtain the thickness of the covered tissue of the tested user.
In this embodiment, considering that the thickness of the covered tissue varies with the height, weight, age, sex and head circumference of the human body, the embodiment of the invention takes into consideration the mapping relation between the pre-constructed sign information and the covered tissue thickness, trains to obtain the first deep learning model, generates the feature vector according to the sign information of the user to be tested on the basis, and inputs the feature vector into the pre-trained deep learning model, so that the thickness of the covered tissue of the user to be tested can be predicted and obtained, and the acquisition of the covered tissue thickness can be realized without detection of a sensor. The first deep learning model is constructed based on the principle of deep learning, which is not described in detail in this embodiment.
In one possible implementation, determining the first distance based on the thickness of the overlying tissue includes:
The thickness range to which the thickness of the covering tissue belongs is determined.
The first distance is determined based on a pre-calibrated correspondence of the thickness range to the first distance.
In this embodiment, a plurality of thickness ranges may be preset, a first distance may be calibrated for each thickness range, after determining the thickness of the covered tissue, the thickness range corresponding to the thickness of the covered tissue may be determined, and the first distance corresponding to the thickness range may be determined as the first distance corresponding to the thickness of the covered tissue. For example, the thickness ranges s1 to s2, s2 to s3, s3 to s4 are preset, the first distance corresponding to the thickness ranges s1 to s2 is d1, the first distance corresponding to the thickness ranges s2 to s3 is d2, and the first distance corresponding to the thickness ranges s3 to s4 is d3. On the basis, the thickness of the coverage tissue of the tested user is ss, the ss belongs to the thickness range s 2-s 3, and the first distance is d2.
In one possible implementation, the cerebral blood oxygen monitoring method further includes calibrating a correspondence of the thickness range to the first distance. The corresponding relation between the calibrated thickness range and the first distance can be detailed as follows:
setting a plurality of thickness ranges of the covering tissue, and for any set thickness range, performing the following steps:
a first cerebral blood oxygen content of a target user is obtained. The target user is a user who accords with the thickness range (namely, the thickness of the covered tissue of the target user is in the thickness range) and has just performed the cerebral blood oxygen invasive detection, and the first cerebral blood oxygen content is the cerebral blood oxygen content measured when the target user performs the cerebral blood oxygen invasive detection.
The distance between the light source array and the receiver array is adjusted to different distances. And after each distance adjustment, performing brain detection on the target user based on the brain blood oxygen sensor after the distance adjustment, and calculating the brain blood oxygen content of the target user according to the brain detection result to obtain a second brain blood oxygen content.
And calculating the difference between the first cerebral blood oxygen content and each second cerebral blood oxygen content, and determining the distance corresponding to the second cerebral blood oxygen content with the smallest difference of the first cerebral blood oxygen content as the first distance corresponding to the thickness range.
In this embodiment, after each adjustment of the distance between the light source array and the receiver array, the brain detection is performed on the target user based on the brain blood oxygen sensor after the distance adjustment, and the second brain blood oxygen content is calculated, so that a plurality of second brain blood oxygen contents can be obtained by performing the distance adjustment for a plurality of times, and each distance adjustment corresponds to one second brain blood oxygen content.
In this embodiment, the brain blood oxygen content obtained by invasive detection is a more accurate brain blood oxygen content, which can be used as a judgment standard of the monitoring accuracy of the embodiment of the present invention, that is, the brain detection can be performed on the target user by using the brain blood oxygen sensor provided by the embodiment of the present invention, and the brain blood oxygen content of the target user, that is, the second brain blood oxygen content, is obtained by calculating according to the brain detection result and the lambert-beer law. On the basis, the difference between the first cerebral blood oxygen content and each second cerebral blood oxygen content is calculated, and the larger the difference is, the more unsuitable the distance between the current light source array and the receiver array is, and the smaller the difference is, the more suitable the distance between the current light source array and the receiver array is. Therefore, the distance corresponding to the second cerebral blood oxygen content with the smallest difference value can be selected as the first distance corresponding to the current thickness range.
In one possible implementation, the correction factor for cerebral blood oxygen content is calculated based on ambient brightness, light source brightness, and thickness of covered tissue, comprising:
and inputting the ambient brightness, the light source brightness and the thickness of the covered tissue into a second deep learning model trained in advance to obtain a correction coefficient of the cerebral blood oxygen content.
In this embodiment, the second deep learning model may be trained in advance to learn the internal relation of the ambient brightness, the light source brightness, the thickness of the covered tissue and the correction coefficient, and on this basis, the ambient brightness, the light source brightness and the thickness of the covered tissue may be input into the second deep learning model trained in advance to obtain the correction coefficient of the cerebral blood oxygen content. The second deep learning model is constructed based on the principle of deep learning, which is not described in detail in this embodiment.
In this embodiment, the environmental brightness, the light source brightness and the thickness of the covered tissue are input into a second deep learning model trained in advance to obtain a correction coefficient of the cerebral blood oxygen content, which can be described in detail as follows:
And taking the ratio of the ambient brightness to the light source brightness as a first characteristic vector, taking the thickness of the covered tissue as a second characteristic vector, and combining the first characteristic vector and the second characteristic vector to obtain the characteristic vector for describing the internal and external influence factors. On the basis, the feature vector for describing the internal and external influence factors is input into a second deep learning model trained in advance, and the correction coefficient of the cerebral blood oxygen content is obtained.
In one possible implementation, the cerebral blood oxygen monitoring method further includes training a second deep learning model. Training a second deep learning model can be detailed as:
A first cerebral blood oxygen content of a target user is obtained. The target user is a user which accords with the thickness range and has just performed brain blood oxygen invasive detection, and the first brain blood oxygen content is the brain blood oxygen content measured when the target user performs brain blood oxygen invasive detection.
And taking the target user as a tested user, detecting the brain of the target user based on a cerebral blood oxygen sensor, and acquiring initial cerebral blood oxygen content corresponding to the target user (namely taking the target user as the tested user, executing the steps S101 and S102, and further obtaining the initial cerebral blood oxygen content corresponding to the target user).
A theoretical correction factor is determined based on the ratio of the first cerebral blood oxygen content to the initial cerebral blood oxygen content.
The method comprises the steps of obtaining the ambient brightness and the light source brightness when the brain detection is carried out on a target user based on a cerebral blood oxygen sensor, and obtaining the thickness of covered tissues of the target user.
And taking the environment brightness and the light source brightness when the target user performs brain detection, the thickness of the covered tissue of the target user and the theoretical correction coefficient as a training set, and training based on the training set to obtain a second deep learning model.
In this embodiment, the training set is used to obtain the second deep learning model, which can be described in detail as follows:
s1, inputting the environment brightness, the light source brightness and the thickness of the covered tissue of the target user into the second deep learning model when the target user performs brain detection, and obtaining a correction coefficient output by the second deep learning model.
S2, calculating a difference value between a correction coefficient output by the second deep learning model and a theoretical correction coefficient, if the difference value is smaller than a preset difference value, finishing training of the second deep learning model, and if the difference value is not smaller than the preset difference value, updating a weight coefficient in the second deep learning model and returning to the step S1.
In one possible implementation, as shown in fig. 3, the cerebral blood oxygen sensor further includes a flexible fixing device, and the light source array and the receiver array are disposed on the fixing device, and in fig. 3, the module formed by the light source array and the receiver array is clamped on the fixing device. The other side of the module may refer to fig. 4, and each light source receiver in fig. 4 may be snapped into a hole of the fixing device, where specific shapes of the light source, the light source receiver, and the hole may be defined according to actual requirements, and fig. 3 and fig. 4 are only schematic and not limited to the shape in the embodiment of the present invention. On this basis, referring to fig. 5, when the cerebral blood oxygen sensor detects the brain, the fixing device can be closely attached to the forehead of the tested user. At this time, each light source in the light source array emits near infrared light, the near infrared light is absorbed and scattered by the brain of the tested user, the scattered near infrared light is received by the receiver in the receiver array, and on the basis, the cerebral blood oxygen content of the tested user can be calculated according to the near infrared light received by the receiver. Specifically, the absorption condition of the brain to the near infrared light can be judged according to the near infrared light received by the receiver, and the cerebral blood oxygen content of the tested user can be judged according to the absorption condition.
Based on the above description, before adjusting the distance between the light source array and the receiver array to the first distance, the cerebral blood oxygen monitoring method further includes:
And acquiring the forehead radian of the tested user.
And increasing the first distance based on the forehead radian of the tested user.
In the present embodiment, it is assumed that the first distance calculated from the thickness of the covered tissue is L, that is, the distance between the light source array and the receiver array in the cerebral blood oxygen sensor is L. Because the forehead of the tested user has a certain radian, when the cerebral blood oxygen sensor is clung to the forehead of the tested user, the distance between the light source array and the receiver array is smaller than L, so that the monitoring precision is affected. Therefore, the forehead radian of the tested user can be obtained, the first distance is increased according to the forehead radian of the tested user and the first distance to obtain the second distance, and the distance between the light source array and the receiver array is adjusted to be the second distance on the basis. After the distance between the light source array and the receiver array is adjusted to be the second distance, as a certain radian exists on the forehead of the tested user, when the cerebral blood oxygen sensor is clung to the forehead of the tested user, the distance between the light source array and the receiver array is just the first distance.
Wherein, increase the processing to first distance based on the forehead radian of the user that is surveyed, include:
As shown in fig. 6, the arc of the forehead of the user to be measured is equivalent to a circular arc (i.e., an arc located on the upper side of the circle between ABs in fig. 6), the second distance is the length of the arc, the first distance is the straight line distance between two endpoints of the arc (i.e., the straight line distance between ABs), the problem is converted into the second distance L2 according to the first distance L1 and the arc α of the forehead, and the calculation method of the second distance is as follows:
Referring to FIG. 7, in another aspect of the present invention, there is also provided a cerebral blood oxygen monitoring terminal 300 comprising one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processor 301, the input device 302, the output device 303, and the memory 304 communicate with each other via a communication bus 305. The memory 304 is used to store a computer program comprising program instructions. The processor 301 is configured to execute program instructions stored in the memory 304. Wherein the processor 301 is configured to invoke program instructions to perform the steps of the method embodiments described above. It should be appreciated that in embodiments of the present invention, the processor 301 may be a central processing unit (Central Processing Unit, CPU). The Processor may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The input device 302 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc. The memory 304 may include read only memory and random access memory and provides instructions and data to the processor 301. A portion of memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store information of device type. In a specific implementation, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present invention may perform the implementation described in the first embodiment and the second embodiment of the cerebral blood oxygen monitoring method provided in the embodiments of the present invention.
In yet another aspect of the present invention, there is provided a cerebral blood oxygen monitoring system, comprising:
the above-described cerebral blood oxygen monitoring terminal electrically connected to the cerebral blood oxygen sensor.
The cerebral blood oxygen sensor comprises a fixing device, a light source array and a receiver array which are arranged on the fixing device in parallel, wherein the distance between the light source array and the receiver array is adjustable.
The light source array comprises a plurality of near infrared light sources which are sequentially arranged, the receiver array comprises a plurality of light source receivers which are sequentially arranged, and the near infrared light sources and the light source receivers are in one-to-one correspondence.
When the cerebral blood oxygen sensor detects the brain, the fixing device is clung to the forehead of the tested user, the near infrared light source on the fixing device emits near infrared light, after the near infrared light is scattered by the brain of the tested user, the light source receiver on the fixing device receives the scattered near infrared light signal, and the near infrared light signal is used for calculating the cerebral blood oxygen content of the tested user.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.