阅读说明：本技术 一种脑血氧检测系统及方法 (Cerebral blood oxygen detection system and method ) 是由 王怡珊 刘亚奇 张盛利 李烨 于 2020-12-10 设计创作，主要内容包括：本申请属于脑血氧检测领域,提供了一种脑血氧检测系统,包括采集模块,采集模块包括有N组光源和M组检测器,N组光源与M组检测器设置在待检测样本的同一侧,N组光源发出至少3种波长不同的近红外光射入待检测样本；M组检测器中的至少2组检测器分别接收未被待检测样本吸收的近红外光信号；数据处理模块,依据修正后的朗伯-比尔定律对近红外光信号进行处理,得到待检测样本的脑血氧信息。本系统解决了现有技术中对脑血氧信息进行检测时,光源和检测器分别布置在待检测样本两侧,光密度信号需要穿过待检测样本组织,光程路径较长,在计算过程中受到除含氧血红蛋白和脱氧血红蛋白两者之外的其他生色团的干扰较大,计算结果误差更大的技术问题。(The application belongs to the field of cerebral blood oxygen detection, and provides a cerebral blood oxygen detection system which comprises an acquisition module, wherein the acquisition module comprises N groups of light sources and M groups of detectors, the N groups of light sources and the M groups of detectors are arranged on the same side of a sample to be detected, and the N groups of light sources emit near infrared light with at least 3 different wavelengths to be incident into the sample to be detected; at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected; and the data processing module is used for processing the near-infrared light signal according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the sample to be detected. The system solves the technical problems that when the cerebral blood oxygen information is detected in the prior art, the light source and the detector are respectively arranged at two sides of a sample to be detected, the optical density signal needs to penetrate through the tissue of the sample to be detected, the optical path is long, the interference of other chromophores except oxygenated hemoglobin and deoxygenated hemoglobin is large in the calculation process, and the error of the calculation result is large.)

1. A cerebral blood oxygen detection system, comprising:

the acquisition module comprises N groups of light sources and M groups of detectors, wherein the N groups of light sources and the M groups of detectors are arranged on the same side of a sample to be detected, and the N groups of light sources emit near infrared light with at least 3 different wavelengths to be incident into the sample to be detected; at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected; n is an integer greater than or equal to 3, and M is an integer greater than or equal to 2;

and the data processing module is used for acquiring the near infrared light signals received by the at least 2 groups of detectors, and processing the near infrared light signals according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the sample to be detected.

2. The cerebral blood oxygen detecting system according to claim 1, wherein 3 groups of light sources emit 3 kinds of near infrared light with different wavelengths to the sample to be detected; and 2 groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected.

3. The cerebral blood oxygen detection system of claim 1, further comprising a control circuit, a data transmission module, and a power management module;

the control circuit is electrically connected with the acquisition module and is used for preprocessing the near infrared light signals received by the at least 2 groups of detectors to obtain preprocessed near infrared light signals;

the data transmission module is in communication connection with the control circuit and is used for transmitting the preprocessed near-infrared light signal to the data processing module;

the power management module is electrically connected with the acquisition module, the control circuit and the data transmission module respectively, and the power management module is used for providing power for the acquisition module, the control circuit and the data transmission module.

4. The cerebral blood oxygen detection system of claim 1, wherein the N sets of light sources are spaced apart from the M sets of detectors.

5. The cerebral blood oxygen detection system according to claim 3, wherein the control circuit includes a current-voltage conversion circuit, a filter circuit, an analog-to-digital conversion circuit, a processor, and a driving circuit; the current-voltage conversion circuit converts the near infrared light signals received by the M groups of detectors into voltage signals; the filter circuit filters the voltage signal to obtain an analog signal; the analog-to-digital conversion circuit converts the analog signal into a digital signal; the processor sequentially performs current-voltage conversion, filtering and analog-digital conversion on the near-infrared light signal; the driving circuit is used for lighting N groups of light sources in turn.

6. The cerebral blood oxygen detecting system according to claim 5, wherein the input terminals of the current-voltage converting circuit are respectively connected to the output terminals of the M groups of detectors, the output terminal of the current-voltage converting circuit is connected to the input terminal of the filter circuit, the output terminal of the filter circuit is connected to the input terminal of the analog-to-digital converting circuit, the output terminal of the analog-to-digital converting circuit is connected to the processor, one side output terminal of the driving circuit is connected to the N groups of light sources, and the other side output terminal of the driving circuit is connected to the input terminal of the processor.

7. A near-infrared light signal acquisition system is characterized by comprising N groups of light sources and M groups of detectors, wherein the N groups of light sources and the M groups of detectors are arranged on the same side of a sample to be detected, and the N groups of light sources emit near-infrared light with at least 3 different wavelengths to be emitted into the sample to be detected; at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected; n is an integer greater than or equal to 3, and M is an integer greater than or equal to 2.

8. A cerebral blood oxygen detection method applied to the data processing module in the cerebral blood oxygen detection system according to claim 1, wherein the cerebral blood oxygen detection method comprises:

acquiring a near-infrared light signal which is not absorbed by a sample to be detected in the near-infrared light;

and processing the near infrared light signal according to the corrected Lambert-beer law to obtain the cerebral blood oxygen information of the position to be detected.

9. A cerebral blood oxygen detection method applied to the cerebral blood oxygen detection system according to claim 1, comprising:

n groups of light sources emit near infrared light with at least 3 different wavelengths to be emitted into the sample to be detected;

at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected;

and the data processing module receives the near infrared light signals received by the at least 2 groups of detectors, and processes the near infrared light signals according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the position to be detected.

10. A near-infrared light acquisition method applied to the near-infrared light signal acquisition system according to claim 7, wherein the near-infrared light acquisition method comprises:

n groups of light sources emit near infrared light with at least 3 different wavelengths to be emitted into the sample to be detected;

at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected.

Technical Field

The application belongs to the field of detection, and particularly relates to a cerebral blood oxygen detection system and method

Background

The brain is the central nervous organ of the human body and plays a vital role in all physiological activities of the human body. The measurement of the blood oxygen content of the brain is an important index of brain cognition.

The present methods for detecting oxygen in cerebral blood in the prior art include, for example: the Chinese invention patent with publication number CN108186028A, application date of 2018, 6 and 22 and subject name of non-contact cerebral blood oxygen detection system is based on the improved Lambert beer law as a theoretical basis, and uses a detector and two light sources to emit near infrared light with different wavelengths for detection. However, when the prior art is used for detecting the cerebral blood oxygen, the following defects can be present: firstly, the absorption degree of the near infrared light by the water in the blood is unknown, and the absorption of the near infrared light by the water in the blood is regarded as a constant in the prior art, so that certain errors exist. Secondly, the improved lambert-beer law formula contains a plurality of constant parameters such as incident light intensity, emergent light intensity, molar absorption coefficient and the like, and certain errors can be caused because the parameters cannot be directly obtained due to technical reasons and some parameters can only be obtained by looking up a table.

In the prior art, for example: in the chinese invention patent with publication No. CN206777329U, application date of 2017, 12 and 22, and subject name of wearable cerebral blood oxygen detection system, the improved lambert beer's law is also used as a theoretical basis, but the detection is performed by using two detectors and two light sources to emit near infrared light with different wavelengths, and this detection method has the following problems besides the defect in the technical scheme of the subject name of non-contact cerebral blood oxygen detection system: the light source and the detector are respectively arranged on two sides of the brain, the optical density signal needs to pass through brain tissues, the optical path is long, the interference of other chromophores except oxygenated hemoglobin and deoxygenated hemoglobin is large in the calculation process, and the calculation result error is large.

Disclosure of Invention

The embodiment of the application provides a cerebral blood oxygen detection system and a cerebral blood oxygen detection method, which can solve the technical problems that when cerebral blood oxygen information is detected in the prior art, a light source and a detector are respectively arranged at two sides of a sample to be detected, an optical density signal needs to pass through cerebral tissues, an optical path is long, interference of other chromophores except oxygenated hemoglobin and deoxygenated hemoglobin is large in the calculation process, and the error of a calculation result is large.

In a first aspect, an embodiment of the present application provides a cerebral blood oxygen detection system, including:

the acquisition module comprises N groups of light sources and M groups of detectors, the N groups of light sources and the M groups of detectors are worn on the same side of a sample to be detected, and the N groups of light sources emit near infrared light with at least 3 different wavelengths to be incident into the sample to be detected; at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected; n is an integer greater than or equal to 3, and M is an integer greater than or equal to 2;

and the data processing module is used for receiving the near infrared light signals received by the at least 2 groups of detectors, and processing the near infrared light signals according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the sample to be detected.

In a possible implementation manner of the first aspect, the 3 groups of light sources emit 3 kinds of near infrared light with different wavelengths to enter the sample to be detected; the 2 groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected.

In a possible implementation manner of the first aspect, the apparatus further includes a control circuit, a data transmission module, and a power management module;

the control circuit is electrically connected with the acquisition module and is used for preprocessing the near infrared light signals received by the at least 2 groups of detectors to obtain preprocessed near infrared light signals;

the data transmission module is in communication connection with the control circuit and is used for transmitting the preprocessed near-infrared light signal to the data processing module;

the power management module is electrically connected with the acquisition module, the control circuit and the data transmission module respectively and used for providing power for the acquisition module, the control circuit and the data transmission module.

In another possible implementation manner of the first aspect, the N groups of light sources are spaced apart from the M groups of detectors.

Illustratively, the control circuit comprises a current-voltage conversion circuit, a filter circuit, an analog-to-digital conversion circuit, a processor and a drive circuit; the current-voltage conversion circuit converts the near infrared light signals received by the M groups of detectors into voltage signals; the filter circuit filters the voltage signal to obtain an analog signal; the analog-to-digital conversion circuit converts the analog signal into a digital signal; the processor sequentially performs current-voltage conversion, filtering and analog-digital conversion on the near-infrared light signal; the driving circuit is used for lightening N groups of light sources.

Illustratively, the input ends of the current-voltage conversion circuits are respectively connected to the output ends of the M groups of detectors, the output ends of the current-voltage conversion circuits are connected to the input ends of the filter circuits, the output ends of the filter circuits are connected to the input ends of the analog-to-digital conversion circuits, the output ends of the analog-to-digital conversion circuits are connected to the processor, one side output ends of the driving circuits are connected to the N groups of light sources, and the other side output ends of the driving circuits are connected to the input ends of the processor.

In a second aspect, the present embodiment provides a near infrared light signal acquisition system, including:

the system comprises N groups of light sources and M groups of detectors, wherein the N groups of light sources and the M groups of detectors are worn on the same side of a sample to be detected, and the N groups of light sources emit near infrared light with at least 3 different wavelengths to enter the sample to be detected; at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected; n is an integer greater than or equal to 3, and M is an integer greater than or equal to 2.

In a third aspect, the present embodiment provides a cerebral blood oxygen detection method applied to the data processing module of the cerebral blood oxygen detection system according to the first aspect, including:

acquiring a near-infrared light signal which is not absorbed by a sample to be detected in the near-infrared light;

and processing the near infrared light signal according to the corrected Lambert-beer law to obtain the cerebral blood oxygen information of the position to be detected.

In a fourth aspect, this embodiment provides a method for detecting cerebral blood oxygen, which is applied to the cerebral blood oxygen detection system of the first aspect, and includes:

n groups of light sources emit near infrared light with at least 3 different wavelengths to be emitted into the sample to be detected;

at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected;

and the data processing module receives the near infrared light signals received by the at least 2 groups of detectors, and processes the near infrared light signals according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the position to be detected.

In a fifth aspect, the present application provides a near-infrared light collecting method applied to the near-infrared light signal collecting system of the second aspect, including:

n groups of light sources emit near infrared light with at least 3 different wavelengths to be emitted into the sample to be detected;

at least 2 of the M sets of detectors receive near infrared signals that are not absorbed by the sample to be detected, respectively.

Compared with the prior art, the embodiment of the application has the advantages that:

1. by using M detectors, wherein M is an integer greater than or equal to 2, some constant parameters which cannot be directly measured and can only be obtained by table lookup can be eliminated in the measurement process, so that the measurement precision is improved.

2. The light source and the detector are arranged on one side of the position to be detected, so that the influence of near infrared light absorbed by skin, tissues, bones and the like of the position to be detected on a detection result is reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a cerebral blood oxygen detection system according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of an acquisition module according to an embodiment of the present application;

FIG. 3 is a graph illustrating changes in forearm tissue blood oxygen concentration provided by an embodiment of the present application;

FIG. 4 is a graph illustrating the variation of blood oxygen concentration in brain tissue according to an embodiment of the present application;

FIG. 5 is a schematic diagram of another embodiment of a cerebral blood oxygen monitoring system according to the present application;

fig. 6 is a schematic structural diagram of a near infrared light signal acquisition system according to an embodiment of the present application;

FIG. 7 is a flowchart illustrating steps of a method for detecting cerebral blood oxygen according to an embodiment of the present disclosure;

FIG. 8 is a flow chart of another method for detecting cerebral blood oxygen according to an embodiment of the present disclosure;

fig. 9 is a flowchart illustrating steps of a near infrared light collecting method according to an embodiment of the present disclosure;

fig. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.

At present, for the detection of cerebral blood oxygen concentration, detection is mainly performed by a single-detector dual-wavelength light source or a dual-detector dual-wavelength light source, but the above detection method has the following defects: firstly, the degree of absorption of near-infrared light by water in blood is unknown, and the above detection method considers the absorption of near-infrared light by water as a constant, which inevitably has a certain error. Secondly, the improved lambert-beer law formula contains a plurality of constant parameters such as incident light intensity, emergent light intensity, molar absorption coefficient and the like, in the detection method, the constant parameters cannot be directly obtained due to technical reasons, and some parameters can only be obtained by looking up a table, which also causes certain errors. Thirdly, the detector and the light source are arranged on two sides of the brain, the optical density signal needs to pass through the brain tissue, the optical path is long, the interference of other chromophores except oxygenated hemoglobin and deoxygenated hemoglobin is large in the calculation process, and the error of the calculation result is larger.

Based on the above drawbacks, in a first aspect, the present application provides a cerebral blood oxygen detection system, please refer to fig. 1, fig. 1 is a schematic structural diagram of a cerebral blood oxygen detection system provided in an embodiment of the present application, and includes an acquisition module 110, where the acquisition module 110 includes N groups of light sources 111 and M groups of detectors 112, the N groups of light sources 111 and the M groups of detectors 112 are disposed on a same side of a sample to be detected, and the N groups of light sources 111 emit near infrared light with at least 3 different wavelengths to enter the sample to be detected; at least 2 groups of detectors in the M groups of detectors 112 respectively receive near infrared light signals that are not absorbed by the sample to be detected; n is an integer greater than or equal to 3, M is an integer greater than or equal to 2;

for example, please refer to fig. 2, fig. 2 is a schematic structural diagram of an acquisition module according to an embodiment of the present application; the acquisition module 110 comprises 3 groups of light sources 111, namely a light source A, a light source B and a light source C, wherein the light source A, the light source B and the light source C are all LED lamps; comprises 2 groups of detectors 112, namely a detector 1 and a detector 2, wherein the detector 1 and the detector 2 adopt photodiodes.

Taking a sample to be detected as brain tissue of a human body as an example, when the acquisition module 110 is used to acquire blood oxygen signals of the brain tissue, the 3 groups of light sources 111 and the 2 groups of detectors 112 are respectively installed on the same side of the brain, and the 3 groups of light sources 111 emit 3 near-infrared lights with different wavelengths, since chromophores capable of absorbing the near-infrared lights in blood mainly include water, oxygenated hemoglobin, deoxygenated hemoglobin, collagen and protein, and are mainly absorbed by the oxygenated hemoglobin, the deoxygenated hemoglobin and a small amount of water within a wavelength range of 650nm to 1000nm, the wavelengths of the 3 near-infrared lights in the embodiment are all selected from wavelengths between 650nm and 1000nm, so as to avoid the influence of chromophores except the oxygenated hemoglobin, the deoxygenated hemoglobin and the small amount of water on a detection result. The 3 groups of light sources 111 emit 3 kinds of near infrared light with different wavelengths, and after passing through the brain tissue, the near infrared light is absorbed by oxygenated hemoglobin, deoxygenated hemoglobin and a small amount of water in the brain tissue, and each of the 2 groups of detectors 112 is used for receiving 3 kinds of near infrared light signals with different wavelengths which are not absorbed by the brain tissue.

In some implementations of the present application, the N groups of light sources 111 are spaced apart from the M groups of detectors 112.

Illustratively, the light sources of the light source A, the light source B and the light source C are arranged at intervals, the intervals are the same, the detector 1 and the detector 2 are arranged at intervals, the distance is delta L, the detector 1, the detector 2 and the light source A, the light source B and the light source C are arranged on the same plane, the distance between the light source C and the detector 1 is L, the light sources of the 3 groups and the detectors of the 2 groups are arranged on the same side of the brain in parallel, the detector 1 is closer to the light sources, the received infrared light path is shorter, the detector 2 is farther from the light sources, and the received infrared light path is longer. The near infrared light signal detected by the detector 1 closer to the light source is mainly the optical density signal absorbed by the superficial tissues of the brain, and the near infrared light signal detected by the detector 2 farther from the light source is mainly the optical density signal absorbed by the deeper tissues of the brain, namely the tissues in which oxygenated hemoglobin and deoxygenated hemoglobin mainly exist.

Referring to fig. 1, in the embodiment of the present application, a data processing module 120 is included, configured to receive the near-infrared light signals received by the M groups of detectors 112, and process the near-infrared light signals according to the modified lambert-beer law, so as to obtain cerebral blood oxygen information of a sample to be detected.

In this embodiment, the infrared light signals that are not absorbed by the brain tissue are processed in the data processing module 120 according to the modified lambert-beer law;

the modified lambert-beer law is shown in equation (1):

wherein, OD^λIs absorbance, I₀Is the intensity of incident light, I is the intensity of emergent light, ε is the molar absorptivity, which is related to the light-absorbing substance and the wavelength of incident light, which is constant when the wavelength of incident light is determined, C_iL is the optical path trace travel for the concentration of the light absorbing material, where L is DPE ρ, and DPE is the differenceThe path factor, ρ, is the light source to receiver distance.

When the dual-wavelength dual-detector is used for detecting the cerebral blood oxygen signal, the influence factor of water in blood is used as a constant, and the formula (2) is used for detecting the oxygenated hemoglobin and the deoxygenated hemoglobin.

Wherein, I₀I is the intensity of incident light, I is the intensity of emergent light,is the molar absorptivity, epsilon, of oxygenated hemoglobin_HHbThe molar absorption coefficient of deoxyhemoglobin, G, is the absorption of light by tissues other than oxygenated hemoglobin and deoxygenated hemoglobin in blood as a constant when the wavelength is varied.

In the calculation using the formula (2), it is necessary to consider the incident light intensity, the emergent light intensity, the deoxyhemoglobin molar absorption coefficient, the oxyhemoglobin molar absorption coefficient, and the constant G.

When the formula (2) is used for detecting the brain blood oxygen concentration, the concentration of water cannot be separated, so that the detection of the brain blood oxygen concentration is influenced, and when the formula (2) is used for detecting, more constant parameters which can only be obtained by looking up a table need to be considered, so that when the formula (1) is used for calculating, the influence factors of water in blood are considered, and when the concentrations of oxygenated hemoglobin and deoxygenated hemoglobin of brain tissues are calculated, the absorption effect of water on near infrared light can be separated; therefore, the calculation formula of this embodiment is shown in (3):

wherein, I₀I is the intensity of incident light, I is the intensity of emergent light,is the molar absorptivity, epsilon, of oxygenated hemoglobin_HHbIs the molar absorption coefficient of the deoxyhemoglobin,the molar absorption coefficient of water, G, is the absorption of light by tissues other than oxygenated hemoglobin, deoxygenated hemoglobin, water in blood as the wavelength changes can be considered as a constant.

In this embodiment, a calculation formula of 1 that the detector receives the near infrared light signal emitted by the light source a and not absorbed by the brain tissue is shown in (4):

wherein the content of the first and second substances,is the incident light intensity of the light source A, I₁ ^AThe intensity of the emitted light of the A light source detected by the detector is 1. L is the path trajectory of the incident light from the source a to the detector 1.

The calculation formula of 2 that the detector receives the near infrared light emitted by the light source A and not absorbed by the brain tissue is shown as (5):

wherein, I₂ ^AThe intensity of the emergent light of the A light source detected by the detector is 2.Δ L + L is the path trajectory of the incident light from the source a to the detector 2.Δ L is a difference optical path trajectory stroke between an optical path trajectory stroke of the incident light to the 1 detector and an optical path trajectory stroke of the incident light to the 2 detector.

In this embodiment, to eliminate the constant G and the incident light intensity I₀The influence on the cerebral blood oxygen concentration is obtained by subtracting the formula (4) from the formula (5) to obtain the formula (6), wherein the formula (6) is shown as follows：

Wherein the content of the first and second substances,is the difference between the oxygenated hemoglobin concentration detected by the detector 1 and the oxygenated hemoglobin concentration detected by the detector 2, Δ_CHHbIs the difference between 1 the concentration of deoxygenated hemoglobin detected by the detector and 2 the concentration of oxygenated hemoglobin detected by the detector,is the difference between 1 the concentration of water detected by the detector and 2 the concentration of water detected by the detector.

Similarly, in this embodiment, the formula for the detector 1 and the detector 2 to receive the near infrared light emitted by the B light source is shown in (7):

similarly, in this embodiment, the formula for the 1 and 2 detectors to receive the near infrared light emitted by the C light source is shown in (8):

the oxygen-containing hemoglobin concentration, the deoxyhemoglobin concentration and the water concentration can be obtained by performing mathematical operations on the formulas (6), (7) and (8). Therefore, when the three-wavelength dual detector is used for detecting the cerebral blood oxygen signal in the embodiment, on the first hand, the absorption effect of other tissues in blood on near infrared light can be eliminated; in the second aspect, the concentration of near-infrared water in blood can be separated, so that the error of the brain blood oxygen detection precision is reduced; in a third aspect, the incident light intensity of the light source and the constant G are not considered when measuring the brain blood oxygen concentration.

Referring to fig. 3, fig. 3 is a graph illustrating a variation of blood oxygen concentration when the system of fig. 1 is used to detect forearm tissue of a person; the system in the embodiment is used for detecting the blood oxygen concentration in the forearm tissue of a person, the acquisition module in the embodiment is fixed on the forearm of the person to be detected, the pressure is applied to the forearm by using the medical rubber belt for blocking after the person is rested for two minutes, and the rubber belt is loosened after the forearm is blocked for two minutes and is rested for two minutes. It can be seen that the concentration of oxygenated and deoxygenated hemoglobins gradually decreased upon forearm occlusion, while the concentration of oxygenated and deoxygenated hemoglobins increased significantly upon forearm occlusion release. The measuring effect of the invention is proved to be accurate.

Referring to fig. 4, fig. 4 is a graph of the change of cerebral blood oxygen concentration when the system of fig. 1 is used to detect cerebral tissue; when the system in the embodiment is used for detecting the blood oxygen concentration in the brain tissue of the human, the detected human firstly closes the eyes and rests for one minute, then opens the eyes and starts playing the game for four minutes, then rests for one minute and plays the game for four minutes, so that the concentration of the oxygenated hemoglobin is gradually changed at rest, and the concentration of the oxygenated hemoglobin is obviously improved at the task state, namely playing the game, thereby proving that the measurement effect of the invention is accurate.

Referring to fig. 5, fig. 5 is a schematic structural diagram of another cerebral blood oxygen detection system according to an embodiment of the present application, which further includes a control circuit 130, a data transmission module 140, and a power management module 150;

the control circuit 130 is electrically connected to the acquisition module 110, and is configured to pre-process the near-infrared light signals received by the M groups of detectors 112 to obtain pre-processed near-infrared light signals;

illustratively, the control circuit 130 is sequentially provided with a current-voltage conversion circuit 131, a filter circuit 132, an analog-to-digital conversion circuit 133, a processor 134, and a driving circuit 135; the input end of the current-voltage conversion circuit 131 is connected to the output ends 112 of the M groups of detectors, respectively, and the current-voltage conversion circuit 131 converts the near infrared light signals received by the M groups of detectors 112 into voltage signals; the output end of the current-voltage conversion circuit 131 is connected to the input end of the filter circuit 132, and the filter circuit 132 filters the voltage signal to obtain an analog signal; the output end of the filter circuit 132 is connected to the input end of the analog-to-digital conversion circuit 133, and the analog-to-digital conversion circuit 133 converts the analog signal into a digital signal; the output end of the analog-to-digital conversion circuit 133 is connected to the processor 134, and the processor 134 sequentially performs current-to-voltage conversion, filtering, and analog-to-digital conversion on the near-infrared light signal; one side output of the driving circuit 135 is connected to the N groups of light sources 111, the other side output of the driving circuit 135 is connected to the input of the processor 134, and the driving circuit 135 is used for lighting the N groups of light sources 111.

The method for preprocessing the near infrared light signals received by the M groups of detectors is as follows:

the input end of the current-voltage conversion circuit 131 is respectively connected to the output ends of the M groups of detectors 112, the current-voltage conversion circuit 131 converts weak near-infrared light signals collected by the M groups of detectors 112 into voltage signals in a normal range, and simultaneously obtains minimum voltage noise and current noise; the output end of the current-voltage conversion circuit 131 is connected to the input end of the filter circuit 132, and the filter circuit 132 preferably adopts a second-order active inverse filter for filtering; an output terminal of the circuit 132 is connected to an input terminal of an analog-to-digital conversion circuit 133, the analog-to-digital conversion circuit 133 being configured to convert the analog signal into a digital signal; the output end of the analog-to-digital conversion circuit 133 is connected to the processor 134, and the processor 134 is configured to sequentially perform current-to-voltage conversion, filtering, and analog-to-digital conversion on the near-infrared light signal collected by the detector 112, so as to convert the collected analog near-infrared photocurrent signal into a preprocessed near-infrared light signal, that is, a digital near-infrared photovoltage signal, and prepare for further signal processing of the processor 134. One side output of the driving circuit 135 is connected to the N groups of light sources 111, and the other side output of the driving circuit 135 is connected to the input of the processor 134, for lighting the N groups of light sources 111 emitting different wavelengths, so as to save power consumption.

The data transmission module 140 in the embodiment of the present application is in communication connection with the control circuit 130, and is configured to transmit the preprocessed near-infrared light signal to the data processing module 120;

optionally, the data transmission module 140 includes bluetooth or a wireless network; the bluetooth is a wireless personal area network, and the cerebral blood oxygen detection system can transmit the digital near infrared light voltage signal to the data processing module 120 through the bluetooth; the wireless network is selected to be WiFi, which belongs to a short-distance wireless transmission technology, and the cerebral blood oxygen detection system can transmit the digital near-infrared light voltage signal to the data processing module 120 through WiFi; it is understood that bluetooth or WiFi is a preferred transmission method in this embodiment, and the data transmission module 140 is not limited in this embodiment of the application.

By way of example, the data processing module 120 may be a Personal Digital Assistant (PDA) device, a handheld device with wireless communication capability, a computer or other processing device connected to a wireless modem, a vehicle mounted device, a car networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a television Set Top Box (STB), a Customer Premises Equipment (CPE) and/or other devices for communicating over a wireless system, as well as a next generation communication system, e.g., a Mobile terminal in a 5G Network or a Mobile terminal in a future evolved Public Land Mobile Network (PLMN) Network, etc.

By way of example and not limitation, taking the data processing module 120 as a computer, the processor is a control center of the computer, connects various parts of the whole computer by various interfaces and lines, and performs data processing on the received near infrared light signal by running or executing software programs and/or modules stored in the memory and calling data stored in the memory; the computer also comprises a display unit which can be used for displaying the cerebral blood oxygen information after data processing. The Display unit may include a Display panel, and optionally, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

In the embodiment of the present application, the power management module 150 is electrically connected to the acquisition module 110, the control circuit 130, and the data transmission module 140, respectively, and is configured to provide power for the acquisition module 110, the control circuit 130, and the data transmission module 140.

In a second aspect, please refer to fig. 6, fig. 6 is a schematic structural diagram of a near-infrared light signal acquisition system according to an embodiment of the present application, including N groups of light sources 111 and M groups of detectors 112, where the N groups of light sources 111 and the M groups of detectors 112 are disposed on a same side of a sample to be detected (the sample to be detected is not shown in the embodiment), and the N groups of light sources 111 emit at least 3 near-infrared lights with different wavelengths to enter the sample to be detected; at least 2 groups of detectors 112 in the M groups of detectors 112 respectively receive near infrared light signals that are not absorbed by the sample to be detected; n is an integer greater than or equal to 3, and M is an integer greater than or equal to 2.

In a third aspect, please refer to fig. 7, fig. 7 is a flowchart illustrating steps of a method for detecting cerebral blood oxygen according to an embodiment of the present application, which is applied to the data processing module 120 of the system according to the first aspect. The method comprises the following steps:

step 210, acquiring a near-infrared light signal which is not absorbed by a sample to be detected in the near-infrared light;

and step 220, processing the near infrared light signal according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the position to be detected.

Optionally, after step 220, filtering the cerebral blood oxygen information of the to-be-detected position to obtain the non-noise cerebral blood oxygen information of the to-be-detected position, and displaying the non-noise cerebral blood oxygen information of the to-be-detected position.

In a fourth aspect, please refer to fig. 8, fig. 8 is a flowchart illustrating steps of another method for detecting cerebral blood oxygen according to an embodiment of the present application, where the method is applied to the system according to the first aspect. The method comprises the following steps:

310, emitting near infrared light with at least 3 different wavelengths into a sample to be detected by N groups of light sources;

step 320, at least 2 groups of detectors in the M groups of detectors respectively receive near infrared light signals which are not absorbed by the sample to be detected;

and 330, receiving the near infrared light signals received by at least 2 groups of detectors by the data processing module, and processing the near infrared light signals according to the corrected Lambert-beer law to obtain cerebral blood oxygen information of the position to be detected.

Optionally, after step 330, the data processing module performs filtering processing on the cerebral blood oxygen information of the to-be-detected position to obtain noise-free cerebral blood oxygen information of the to-be-detected position, and displays the noise-free cerebral blood oxygen information of the to-be-detected position.

In a fifth aspect, please refer to fig. 9, fig. 9 is a flowchart illustrating steps of a near-infrared light collecting method according to an embodiment of the present application, applied to the near-infrared light signal collecting system according to the second aspect, including:

step 410, emitting near infrared light with at least 3 different wavelengths into a sample to be detected by N groups of light sources;

at step 420, at least 2 of the M sets of detectors respectively receive near infrared light signals not absorbed by the sample to be detected

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Referring to fig. 10, fig. 10 shows a terminal device according to an embodiment of the present application, where the terminal device 6 includes: at least one processor 60, a memory 61 and a computer program 62 stored in said memory and executable on said at least one processor, said processor 60 implementing the steps in the above described third, fourth and fifth aspect method embodiments when executing said computer program 62.

It should be noted that, because the contents of information interaction and the like between the above methods are based on the same concept as that of the system embodiment of the present application, specific functions and technical effects thereof may be specifically referred to a part of the system embodiment, and are not described herein again.

The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.

The embodiments of the present application provide a computer program product, which when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be implemented by a computer program, which can be stored in a computer readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.