A method for detecting the sampling frequency of a near-infrared brain functional imaging device

Abstract

This application provides a method for detecting the sampling frequency of a near-infrared brain functional imaging device. The method includes: step S101: acquiring first near-infrared data at a first acquisition time with a light-shielding plate placed inside the spacer cavity; step S102: acquiring second near-infrared data at a second acquisition time with the light-shielding plate removed from the spacer cavity; wherein the first acquisition time and the second acquisition time are times that occur sequentially; step S103: determining the first sampling frequency of the near-infrared brain functional imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time. The above method can determine the first sampling frequency of the near-infrared brain functional imaging device by detecting the obtained first and second near-infrared data. The obtained first sampling frequency result is more accurate, and the operation method for detecting the first sampling frequency is relatively simple and easy to implement.

Description

Technical Field

[0001] This application relates to the field of near-infrared brain functional imaging technology, and in particular to a method, apparatus, sampling frequency detection device, and computer-readable medium for detecting the sampling frequency of a near-infrared brain functional imaging device. Background Technology

[0002] With technological advancements, near-infrared functional brain imaging (fNIRS) has been widely applied in neuroscience, clinical medicine, and cognitive psychology. fNIRS is a non-invasive brain imaging technique, a scalp-based optical spectroscopy measurement method that uses a light source and detectors to measure blood oxygenation and blood flow in the cerebral cortex, thereby revealing changes in brain activity. fNIRS can record blood oxygen saturation level (BOLD), the compensatory hemodynamic response in the brain due to increased oxygen demand in activated brain regions. In near-infrared functional brain imaging equipment, the sampling frequency is a crucial parameter; it is the number of samples extracted per second from a continuous signal to assemble a discrete signal. Determining the sampling frequency directly affects the quality of near-infrared data and the accuracy of measurements. However, currently, the sampling frequency is provided directly by the near-infrared functional brain imaging equipment at the factory, and there is no method to accurately calculate the actual sampling frequency. Summary of the Invention

[0003] To address the aforementioned technical problems in the prior art, this application provides a method, apparatus, sampling frequency detection device, and computer-readable medium for detecting the sampling frequency of a near-infrared brain functional imaging device, which can accurately detect the sampling frequency of the near-infrared brain functional imaging device.

[0004] In a first aspect, embodiments of this application provide a method for detecting the sampling frequency of a near-infrared brain functional imaging device, characterized in that it is applied to a sampling frequency detection device, wherein the near-infrared brain functional imaging device includes a transmitting probe and a receiving probe, the sampling frequency detection device includes a phantom and a light-shielding plate, the phantom includes a first body for mounting the transmitting probe and a second body for mounting the receiving probe, a spacer cavity is formed between the first body and the second body, near-infrared light emitted by the transmitting probe is absorbed by the phantom and received by the receiving probe to perform near-infrared data acquisition, the light-shielding plate is used to be placed in the spacer cavity to block the optical path formed between the transmitting probe and the receiving probe, the method includes: step S101: when the light-shielding plate is placed in the spacer cavity, acquiring first near-infrared data acquired at a first acquisition time; step S102: when the light-shielding plate is removed from the spacer cavity, acquiring second near-infrared data acquired at a second acquisition time; wherein the first acquisition time and the second acquisition time are times that occur sequentially; step S103: determining a first sampling frequency of the near-infrared brain functional imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition time and the second acquisition time.

[0005] Secondly, embodiments of this application provide an apparatus for detecting the sampling frequency of a near-infrared brain functional imaging device. The near-infrared brain functional imaging device includes a transmitting probe and a receiving probe. The sampling frequency detection apparatus includes a phantom and a light-shielding plate. The phantom includes a first body for mounting the transmitting probe and a second body for mounting the receiving probe. A spacer cavity is formed between the first and second bodies. Near-infrared light emitted by the transmitting probe is absorbed by the phantom and received by the receiving probe to perform near-infrared data acquisition. The light-shielding plate is placed within the spacer cavity to block the optical path formed between the transmitting and receiving probes. The apparatus for detecting the sampling frequency of a near-infrared brain functional imaging device includes: a first detection module configured to acquire first near-infrared data at a first acquisition time when the light-shielding plate is placed inside the spacer cavity; a second detection module configured to acquire second near-infrared data at a second acquisition time when the light-shielding plate is removed from the spacer cavity; wherein the first acquisition time and the second acquisition time are times that occur sequentially; and a determination module configured to determine a first sampling frequency of the near-infrared brain functional imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time.

[0006] Thirdly, embodiments of this application provide a sampling frequency detection device for detecting the sampling frequency of a near-infrared brain functional imaging device. The sampling frequency detection device includes a phantom, a light-shielding plate, and a processor. The phantom includes a first body for mounting a transmitting probe and a second body for mounting a receiving probe, with a spacer cavity formed between the first and second bodies. The light-shielding plate is placed within the spacer cavity to block the optical path formed between the transmitting and receiving probes. The first and second bodies are respectively provided with through-holes through the optical path, the size of which is configured within a preset size range so that the time for the light-shielding plate to open the through-hole from covering it is less than the time between adjacent sampling moments of the near-infrared brain functional imaging device. The processor is configured to: acquire first near-infrared data acquired at a first acquisition moment when the light-shielding plate is placed within the spacer cavity; acquire second near-infrared data acquired at a second acquisition moment when the light-shielding plate is removed from the spacer cavity; wherein the first and second acquisition moments are moments occurring sequentially; and determine a first sampling frequency of the near-infrared brain functional imaging device based on the first and second near-infrared data, the first acquisition moment, and the second acquisition moment.

[0007] Fourthly, embodiments of this application provide a computer-readable medium storing a computer program that, when executed by a processor, implements the steps of the method described above for detecting the sampling frequency of a near-infrared brain functional imaging device.

[0008] Compared with the prior art, the beneficial effects of the embodiments of this application are as follows: This application, by designing a sampling frequency detection device including a phantom and a light-shielding plate, can accurately detect the actual sampling frequency of the near-infrared brain functional imaging device. The phantom includes a first body for mounting a transmitting probe and a first body for mounting a receiving probe. A light-shielding plate is set in the spacer cavity between the first body and the second body. The device can detect the first near-infrared data when the light-shielding plate is placed in the spacer cavity and the second near-infrared data when the light-shielding plate is removed from the spacer cavity. By detecting the first and second near-infrared data and the time of data acquisition, the first sampling frequency of the near-infrared brain functional imaging device can be determined. The result of the first sampling frequency obtained in this way is more accurate, and the operation method for detecting the first sampling frequency is relatively simple and easy to implement, and can improve the accuracy of near-infrared data processing. Attached Figure Description

[0009] In drawings that are not necessarily drawn to scale, the same reference numerals may describe similar parts in different views. The drawings generally illustrate various embodiments by way of example rather than limitation and are used, together with the description and claims, to illustrate the disclosed embodiments. Where appropriate, the same reference numerals are used in all drawings to refer to the same or similar parts. Such embodiments are illustrative and not intended to be exhaustive or exclusive embodiments of the apparatus or method.

[0010] Figure 1 This is a schematic diagram of the sampling frequency detection device according to an embodiment of this application.

[0011] Figure 2 This is a first flowchart of a method for detecting the sampling frequency of a near-infrared brain functional imaging device according to an embodiment of this application.

[0012] Figure 3 This is a second flowchart of a method for detecting the sampling frequency of a near-infrared brain functional imaging device according to an embodiment of this application.

[0013] Figure 4 This is a waveform diagram representing the change of near-infrared data with acquisition time in an embodiment of this application.

[0014] Figure 5 This is a schematic diagram of the rising transition interval of the waveform as determined in the waveform diagram according to an embodiment of this application.

[0015] Figure 6 This is a structural block diagram of a device for detecting the sampling frequency of a near-infrared brain functional imaging device, according to an embodiment of this application.

[0016] The components indicated by the reference numerals in the figure:

[0017] 1. Transmitting probe; 2. Receiving probe; 3. Spacer cavity; 4. First body; 5. Second body; 100. Device for detecting the sampling frequency of a near-infrared brain functional imaging device; 101. First detection module; 102. Second detection module; 103. Determination module. Detailed Implementation

[0018] It should be understood that various modifications can be made to the embodiments described herein. Therefore, the above description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of this application will be apparent to those skilled in the art.

[0019] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the present application and, together with the general description of the present application given above and the detailed description of the embodiments given below, serve to explain the principles of the present application.

[0020] These and other features of this application will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0021] It should also be understood that although this application has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of this application.

[0022] The above and other aspects, features and advantages of this application will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0023] Specific embodiments of this application are described thereafter with reference to the accompanying drawings; however, it should be understood that the embodiments are merely examples of this application, which may be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the application. Therefore, the specific structural and functional details herein are not intended to be limiting, but merely serve as the basis and representative basis for the claims to teach those skilled in the art to use this application in a variety of substantially any suitable detailed structures.

[0024] This specification may use the phrases “in one embodiment,” “in another embodiment,” “in yet another embodiment,” or “in other embodiments,” all of which may refer to one or more of the same or different embodiments according to this application.

[0025] This application provides a method for detecting the sampling frequency of a near-infrared brain functional imaging device, applied to a sampling frequency detection device. For example... Figure 1 As shown, the near-infrared brain functional imaging device includes a transmitting probe 1 and a receiving probe 2. The sampling frequency detection device includes a phantom and a light shield (not shown in the figure). The phantom includes a first body 4 for mounting the transmitting probe 1 and a second body 5 for mounting the receiving probe 2. A spacer cavity 3 is formed between the first body 4 and the second body 5. The near-infrared light emitted by the transmitting probe 1 is partially absorbed by the phantom and then received by the receiving probe 2 to perform near-infrared data acquisition. The light shield is placed in the spacer cavity 3 to block the optical path formed between the transmitting probe 1 and the receiving probe 2.

[0026] The aforementioned phantom is used to mimic the light attenuation environment of the real brain, which is similar to human tissue. The materials constituting the phantom have scattering and absorption characteristics similar to human tissue, and can be made of materials such as PUM (polyurethane foam) and PE (polyethylene).

[0027] The transmitting probe 1 and receiving probe 2 of the aforementioned near-infrared brain functional imaging device can be installed on the same side of the phantom. The near-infrared light emitted by the transmitting probe 1 will be scattered within the phantom, forming an arc-shaped light path, which is then received by the receiving probe 2, thereby simulating the path of the near-infrared light emitted by the transmitting probe 1 being received by the receiving probe 2 within the human body. Figure 1 As shown, Figure 1 The arrow shown indicates the direction of near-infrared light propagation.

[0028] Optionally, the first body 4 and the second body 5 may each be provided with mounting holes for mounting probes, and mounting clips may be provided at the corresponding mounting holes to fix the probes. The aforementioned mounting clips can stably hold probes of different sizes to adapt to different near-infrared brain functional imaging devices.

[0029] Optionally, the size of the aforementioned spacer cavity 3 can be adapted to the thickness of the light shield to ensure smooth insertion and removal of the light shield, and to ensure that the gap between the spacer cavity 3 and the light shield is not too large, so as to avoid excessive loss of near-infrared light after passing through the spacer cavity 3.

[0030] Optionally, the first body 4 and the second body 5 forming the spacer cavity 3 are respectively provided with through holes for optical paths, so as to facilitate the near-infrared light to enter the other body after being emitted from one body.

[0031] The above near-infrared data can be understood as parameters related to near-infrared light, such as the intensity of near-infrared light.

[0032] like Figure 2 As shown, the method includes steps S101 to S103.

[0033] Step S101: With the light-shielding plate placed inside the spacer cavity 3, acquire the first near-infrared data acquired at the first acquisition moment.

[0034] After fixing the transmitting probe 1 and the receiving probe 2, a light-shielding plate can be inserted into the partition cavity 3. This plate completely blocks the through holes on the opposing surfaces of the first body 4 and the second body 5 forming the partition cavity 3, thereby blocking the formation of the near-infrared light path through the transmitting probe 1 and the receiving probe 2, and acquiring the first near-infrared data collected by the near-infrared brain functional imaging device during this period. The placement of the light-shielding plate within the partition cavity 3 can be understood as the light-shielding plate being positioned within the partition cavity 3 to completely block the through holes on the opposing surfaces of the first body 4 and the second body 5. The phantom should be positioned as close as possible to the side of the light-shielding plate to expedite the removal of the light-shielding plate, enabling rapid removal.

[0035] Step S102: When the light-shielding plate is detached from the spacer cavity 3, the second near-infrared data collected at the second acquisition time is obtained; wherein, the first acquisition time and the second acquisition time are times that occur in sequence.

[0036] Optionally, when operating the sampling frequency detection device, the phantom can be fixed while the light-shielding plate is clamped, and the light-shielding plate can be pulled out of the spacer cavity 3 to acquire the second near-infrared data collected by the near-infrared brain functional imaging device during this period. The situation where the light-shielding plate is detached from the spacer cavity 3 can be understood as the light-shielding plate being pulled out of the spacer cavity, allowing at least partial light transmission through the through holes on the opposing surfaces of the first body 4 and the second body 5.

[0037] Step S103: Based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time, determine the first sampling frequency of the near-infrared brain functional imaging device.

[0038] The first and second near-infrared data mentioned above can be in one set or multiple sets. Multiple sets of near-infrared data can be obtained by repeatedly placing and removing the light-shielding plate.

[0039] The aforementioned first and second acquisition times are the times that occur sequentially when the near-infrared brain functional imaging device is in a continuous acquisition state. Specifically, after placing the light-shielding plate in the spacer cavity 3 between the first body 4 and the second body 5, the near-infrared brain functional imaging device can be turned on, putting it into a continuous acquisition state. The light-shielding plate can be repeatedly placed and removed to acquire the first and second near-infrared data.

[0040] This application designs a sampling frequency detection device including a phantom and a light-shielding plate, which can accurately detect the actual sampling frequency of a near-infrared brain functional imaging device. A light-shielding plate is placed within the spacer cavity 3 between the first body 4 and the first body 5 of the phantom. The device can detect the first near-infrared data when the light-shielding plate is inside the spacer cavity 3, and the second near-infrared data when the light-shielding plate is outside the spacer cavity. By detecting the first and second near-infrared data and the time of data acquisition, the first sampling frequency of the near-infrared brain functional imaging device can be determined. This method yields a more accurate first sampling frequency result, and the operation method for detecting the first sampling frequency is simple, easy to implement, and improves the accuracy of near-infrared data processing. After obtaining the first sampling frequency, the initial sampling frequency of the near-infrared brain functional imaging device can be obtained. The first sampling frequency and the initial sampling frequency can be compared to verify whether the first sampling frequency of the near-infrared brain functional imaging device is consistent with the initial sampling frequency.

[0041] In some embodiments, such as Figure 3 As shown, step S103 also includes steps S201 to S204.

[0042] Step S201: Based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time, form a waveform diagram representing the change of near-infrared data with acquisition time.

[0043] Step S202: Determine the rising transition interval of the waveform in the waveform diagram.

[0044] Step S203: Determine the start time and end time of the near-infrared data transition within the transition interval.

[0045] Step S204: Determine the first sampling frequency based on the transition start time and transition end time.

[0046] In this way, the start and end times of the near-infrared data transition can be quickly determined through waveform diagrams, which is beneficial for accurately determining the first sampling frequency.

[0047] After collecting one or more sets of first near-infrared data and second near-infrared data, such as Figure 4 The waveform diagram shown can be generated based on the first near-infrared data, the second near-infrared data, and the acquisition time, representing the change of near-infrared data with acquisition time. Figure 4 The waveform diagram shown in the figure has the horizontal axis representing the acquisition time and the vertical axis representing the near-infrared data value, such as light intensity.

[0048] In the waveform graph, you can select the rising transition interval of the waveform. The transition interval can be understood as the interval where the near-infrared data undergoes a significant instantaneous change, for example... Figure 5 As shown, the near-infrared data value increases from 0 to nearly 3.

[0049] After determining the transition interval, it can be magnified to obtain a magnified transition interval diagram, thereby determining the accurate transition interval. For example, as shown... Figure 5 As shown, Figure 5 The near-infrared data shown jumps from 0 to approximately 2.8, and then remains around 2.8. From this, the start and end times of the jump can be determined: the start time is approximately 63.365s, and the end time is approximately 63.455s. Therefore, the jump occurrence time is 0.09s, corresponding to a sampling period of 0.09s. The first sampling frequency is the reciprocal of the obtained sampling period, so the first sampling frequency can be finally determined to be 11Hz.

[0050] In some embodiments, the method further includes: continuously and repeatedly executing steps S101 and S102 via the near-infrared brain functional imaging device to detect multiple sets of near-infrared data, each set of near-infrared data including first near-infrared data and second near-infrared data; step S103 further includes: determining multiple second sampling frequencies of the near-infrared brain functional imaging device based on the multiple sets of first near-infrared data and second near-infrared data; and obtaining the first sampling frequency based on the average value of all or part of the multiple second sampling frequencies.

[0051] In this way, multiple sets of near-infrared data can be obtained by repeatedly executing steps S101 and S102, and the accuracy of the obtained first sampling frequency can be improved based on multiple sets of near-infrared data.

[0052] Optionally, the time interval between repeating steps S101 and S102 can be at least greater than a first threshold. That is, after executing steps S101 and S102 once, steps S101 and S102 can be executed again after the time interval exceeds the first threshold, so that each time steps S101 and S102 can be executed smoothly. Repeating steps S101 and S102 can be understood as the user repeatedly installing and removing the light shield.

[0053] For example, the range of the first threshold can be from 3 seconds to 7 seconds, preferably 5 seconds.

[0054] In some embodiments, obtaining the first sampling frequency based on the average of all or some of the plurality of second sampling frequencies specifically includes: sorting the second sampling frequencies by magnitude; removing extreme values ​​from the plurality of second sampling frequencies; and determining the first sampling frequency based on the average of the remaining second sampling frequencies. This allows for the removal of second sampling frequencies with larger errors before calculating the first sampling frequency, thereby improving the accuracy of the obtained first sampling frequency.

[0055] The extreme values ​​mentioned above may include at least minimum and maximum values. Extreme values ​​among multiple second sampling frequencies may contain significant errors. After removing extreme values, the first sampling frequency is calculated based on the average of the remaining second sampling frequencies to ensure its accuracy. Alternatively, when the values ​​of multiple second sampling frequencies are relatively uniform and there are no extreme values, the first sampling frequency can also be obtained based on the average of all the second sampling frequencies.

[0056] In some embodiments, the method further includes: during the process of the light shield being placed in the spacer cavity 3 and being removed from the spacer cavity 3, controlling the time for the light shield to open the through hole from covering it to being less than the time between adjacent sampling moments of the near-infrared brain functional imaging device.

[0057] The time it takes for the light-shielding plate to cover and then open the through-hole can be understood as the time from when the light-shielding plate is about to leave the through-hole (completely covering the through-hole) to when the through-hole is fully opened. This ensures that the transition interval is detected within the same sampling period, rather than across multiple sampling periods, thereby guaranteeing the accuracy of the first sampling frequency obtained based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time.

[0058] Optionally, the time it takes for the light-shielding plate to detach from the spacer cavity 3 can be less than the time of one sampling cycle of the near-infrared brain functional imaging device by increasing the speed of removing the light-shielding plate and / or minimizing the size of the through hole.

[0059] The speed at which the light-shielding plate is removed can be increased by the user manually or by setting up a removal device that can remove the light-shielding plate. The removal speed of the removal device can be increased as much as possible to ensure that the light-shielding plate can be quickly removed from the partition cavity 3.

[0060] This application provides a device 100 for detecting the sampling frequency of a near-infrared brain functional imaging device. The near-infrared brain functional imaging device includes a transmitting probe 1 and a receiving probe 2. The sampling frequency detection device includes a phantom and a light-shielding plate. The phantom includes a first body 4 for mounting the transmitting probe 1 and a second body 5 for mounting the receiving probe 2. A spacer cavity 3 is formed between the first body 4 and the second body 5. The near-infrared light emitted by the transmitting probe 1 is absorbed by the phantom and then received by the receiving probe to perform near-infrared data acquisition. The light-shielding plate is placed within the spacer cavity 3 to block the optical path formed between the transmitting probe 1 and the receiving probe 2.

[0061] like Figure 6As shown, the device 100 for detecting the sampling frequency of a near-infrared brain functional imaging device includes a first detection module 101, a second detection module 102, and a determination module 103. The first detection module 101 is configured to acquire first near-infrared data at a first acquisition time when the light-shielding plate is placed within the spacer cavity 3. The second detection module 102 is configured to acquire second near-infrared data at a second acquisition time when the light-shielding plate is removed from the spacer cavity 3; wherein the first acquisition time and the second acquisition time are times that occur sequentially. The determination module 103 is configured to determine the first sampling frequency of the near-infrared brain functional imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time.

[0062] This application designs a sampling frequency detection device including a phantom and a light-shielding plate, which can accurately detect the actual sampling frequency of a near-infrared brain functional imaging device. A light-shielding plate is placed within the spacer cavity 3 between the first body 4 and the first body 5 of the phantom. The device can detect first near-infrared data when the light-shielding plate is placed within the spacer cavity 3, and second near-infrared data when the light-shielding plate is removed from the spacer cavity. By detecting the first and second near-infrared data and the time of near-infrared data acquisition, the first sampling frequency of the near-infrared brain functional imaging device can be determined. The first sampling frequency obtained in this way is more accurate, and the operation method for detecting the first sampling frequency is relatively simple and easy to implement, while also improving the accuracy of near-infrared data processing. After obtaining the first sampling frequency, the initial sampling frequency of the near-infrared brain functional imaging device can be obtained. The first sampling frequency and the initial sampling frequency can be compared to adjust the near-infrared brain functional imaging device to the desired sampling frequency based on the first sampling frequency.

[0063] In some embodiments, the determining module 103 is further configured to: form a waveform diagram representing the change of near-infrared data with acquisition time based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time; determine the rising transition interval of the waveform in the waveform diagram; determine the transition start time and transition end time of the near-infrared data within the transition interval; and determine the first sampling frequency based on the transition start time and transition end time.

[0064] In some embodiments, the first detection module 101 and the second detection module 102 are executed repeatedly to detect multiple sets of near-infrared data, each set of near-infrared data including first near-infrared data and second near-infrared data. The determining module 103 is further configured to: determine multiple second sampling frequencies of the near-infrared brain functional imaging device based on the multiple sets of first near-infrared data and second near-infrared data; and obtain the first sampling frequency based on the average value of all or part of the multiple second sampling frequencies.

[0065] In some embodiments, the determining module 103 is further configured to: sort the various second sampling frequencies by size; remove extreme values ​​from the plurality of second sampling frequencies; and determine the first sampling frequency based on the average value of the unremoved second sampling frequencies.

[0066] In some embodiments, the first body 4 and the second body 5 are respectively provided with through holes for optical paths. The device 100 for detecting the sampling frequency of the near-infrared brain functional imaging device further includes a control module. The control module is configured to control the time when the light shield is placed in the spacer cavity 3 and then removed from the spacer cavity 3 to open the through hole to be less than the time between adjacent sampling times of the near-infrared brain functional imaging device.

[0067] This application provides a sampling frequency detection device for detecting the sampling frequency of a near-infrared brain functional imaging device. Figure 1 As shown, the sampling frequency detection device includes a phantom, a light-shielding plate, and a processor. The phantom includes a first body 4 for mounting a transmitting probe 1 and a second body 5 for mounting a receiving probe 2, with a spacer cavity 3 formed between the first body 4 and the second body 5. The light-shielding plate is placed within the spacer cavity 3 to block the optical path formed between the transmitting probe 1 and the receiving probe 2. The first body 4 and the second body 5 are respectively provided with through holes for the optical path, and the size of the through holes is configured within a preset size range so that the time for the light-shielding plate to open the through holes from covering them is less than the time between adjacent sampling moments of the near-infrared brain functional imaging device. The processor is configured to: acquire first near-infrared data acquired at a first acquisition moment when the light-shielding plate is placed within the spacer cavity; acquire second near-infrared data acquired at a second acquisition moment when the light-shielding plate is removed from the spacer cavity; wherein the first acquisition moment and the second acquisition moment are moments that occur sequentially; and determine the first sampling frequency of the near-infrared brain functional imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition moment, and the second acquisition moment.

[0068] The aforementioned phantom is used to mimic the light attenuation environment of the real brain, which is similar to human tissue. The materials constituting the phantom have scattering and absorption characteristics similar to human tissue, and can be made of materials such as PUM (polyurethane foam) and PE (polyethylene).

[0069] The transmitting probe 1 and receiving probe 2 of the aforementioned near-infrared brain functional imaging device can be installed on the same side of the phantom. The near-infrared light emitted by the transmitting probe 1 will be scattered within the phantom, forming an arc-shaped light path, which is then received by the receiving probe 2, thereby simulating the path of the near-infrared light emitted by the transmitting probe 1 being received by the receiving probe 2 within the human body. Figure 1 As shown, Figure 1 The arrow shown indicates the emission direction of near-infrared light.

[0070] Optionally, the first body 4 and the second body 5 may each be provided with mounting holes for mounting probes, and mounting clips may be provided at the corresponding mounting holes to fix the probes. The aforementioned mounting clips can stably hold probes of different sizes to adapt to different near-infrared brain functional imaging devices.

[0071] Optionally, the size of the aforementioned spacer cavity 3 can be adapted to the thickness of the light shield, which can ensure the smooth removal and insertion of the light shield, and also ensure that the gap between the spacer cavity 3 and the light shield is not too large, so as to avoid excessive loss of near-infrared light after passing through the spacer cavity 3.

[0072] This application, by placing a light-shielding plate within the spacer cavity 3 between the phantoms of the sampling device in a near-infrared brain functional imaging device, can detect first near-infrared data when the light-shielding plate is placed within the spacer cavity 3, and second near-infrared data when the light-shielding plate is removed from the spacer cavity. By detecting the first and second near-infrared data and the time of near-infrared data acquisition, the first sampling frequency of the near-infrared brain functional imaging device can be determined. The first sampling frequency obtained in this way is more accurate, and the operation method for detecting the first sampling frequency is relatively simple and easy to implement, while also improving the accuracy of near-infrared data processing. After obtaining the aforementioned first sampling frequency, the initial sampling frequency of the near-infrared brain functional imaging device can be acquired. The first sampling frequency and the initial sampling frequency can be compared to adjust the near-infrared brain functional imaging device to the desired sampling frequency based on the first sampling frequency.

[0073] In some embodiments, both the first body 4 and the second body 5 are covered with a light-shielding layer.

[0074] In this way, it can block light sources other than near-infrared light from shining on the phantom, and can also prevent near-infrared light from leaking out through the light-shielding layer, thereby improving the propagation efficiency of near-infrared light within the phantom.

[0075] The sampling frequency detection device can detect the sampling frequency of the infrared brain functional imaging device based on the method for detecting the sampling frequency of the near-infrared brain functional imaging device in any of the above embodiments or based on the device for detecting the sampling frequency of the near-infrared brain functional imaging device in any of the above embodiments.

[0076] This application provides a computer-readable medium storing a computer program that, when executed by a processor, implements the steps of the method described above for detecting the sampling frequency of a near-infrared brain functional imaging device.

[0077] Note that the various units in the embodiments of this application can be implemented as computer-executable instructions stored in memory, which, when executed by a processor, can perform corresponding steps; they can also be implemented as hardware with corresponding logical computing capabilities; or they can be implemented as a combination of software and hardware (firmware). In some embodiments, the processor can be implemented as any of an FPGA, ASIC, DSP chip, SOC (System-on-a-Chip), MPU (e.g., but not limited to Cortex), etc. The processor can be communicatively coupled to the memory and configured to execute computer-executable instructions stored therein. The memory can include read-only memory (ROM), flash memory, random access memory (RAM), dynamic random access memory (DRAM) such as synchronous DRAM (SDRAM) or Rambus DRAM, static memory (e.g., flash memory, static random access memory), etc., on which computer-executable instructions are stored in any format. The computer-executable instructions can be accessed by the processor, read from the ROM or any other suitable storage location, and loaded into the RAM for the processor to execute, to implement the wireless communication methods according to the embodiments of this application.

[0078] It should be noted that in the system of this application, the components are logically divided according to the functions they are to perform. However, this application is not limited to this and can re-divide or combine the components as needed. For example, some components can be combined into a single component, or some components can be further decomposed into more sub-components.

[0079] The various component embodiments of this application can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the system according to the embodiments of this application. This application can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such a program implementing this application can be stored on a computer-readable medium or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form. Furthermore, this application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0080] Furthermore, although exemplary embodiments have been described herein, their scope includes any and all embodiments based on this application that have equivalent elements, modifications, omissions, combinations (e.g., schemes involving intersections of various embodiments), adaptations, or alterations. Elements in the claims will be interpreted broadly based on the language used in the claims and are not limited to the examples described in this specification or during the implementation of this application, and such examples will be interpreted as non-exclusive.

[0081] The above description is intended to be illustrative and not restrictive. For example, the above examples (or one or more of them) can be used in combination with each other. Other embodiments may be used by those skilled in the art upon reading the above description. Furthermore, in the above detailed description, various features may be grouped together to simplify the application. This should not be construed as an intention that a disclosed feature not claimed is necessary for any claim. Rather, the subject matter of the application may be less than all the features of a particular disclosed embodiment. Thus, the claims are incorporated herein by reference as examples or embodiments, wherein each claim is an independent, separate embodiment, and these embodiments are contemplated as being combined with each other in various combinations or arrangements. The scope of this application should be determined by reference to the appended claims and the full scope of their equivalents.

[0082] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A method for detecting the sampling frequency of a near-infrared brain functional imaging device, characterized in that, An application is made in a sampling frequency detection device. The near-infrared brain functional imaging device includes a transmitting probe and a receiving probe. The sampling frequency detection device includes a phantom and a light-shielding plate. The phantom includes a first body for mounting the transmitting probe and a second body for mounting the receiving probe. A spacer cavity is formed between the first body and the second body, and the first body and the second body are respectively provided with through holes for optical paths. Near-infrared light emitted by the transmitting probe is absorbed by the phantom and received by the receiving probe to perform near-infrared data acquisition. The light-shielding plate is placed in the spacer cavity to block the optical path formed between the transmitting probe and the receiving probe. The method includes: Step S101: With the light-shielding plate placed inside the spacer cavity, acquire the first near-infrared data collected at the first acquisition moment; Step S102: When the light-shielding plate is detached from the spacer cavity, acquire the second near-infrared data acquired at the second acquisition time; wherein, the first acquisition time and the second acquisition time are times that occur in sequence. Step S103: Based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time, determine the first sampling frequency of the near-infrared brain functional imaging device; Step S103 further includes: Based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time, a waveform diagram representing the change of near-infrared data with acquisition time is formed; Determine the rising transition interval of the waveform in the waveform diagram; Determine the start time and end time of the near-infrared data transition within the transition interval; The first sampling frequency is determined based on the transition start time and transition end time; wherein... The method further includes: During the process of the light-shielding plate being placed in the spacer cavity and then being removed from the spacer cavity, the time for the light-shielding plate to open the through hole from covering it is controlled to be less than the time between adjacent sampling moments of the near-infrared brain functional imaging device.

2. The method for detecting the sampling frequency of a near-infrared brain functional imaging device according to claim 1, characterized in that, The method further includes: Steps S101 and S102 are repeatedly executed via the near-infrared brain functional imaging device to detect multiple sets of near-infrared data, each set of near-infrared data including first near-infrared data and second near-infrared data. Step S103 also includes: Based on multiple sets of the first near-infrared data and the second near-infrared data, multiple second sampling frequencies of the near-infrared brain functional imaging device are determined respectively. The first sampling frequency is obtained based on the average value of all or part of the plurality of second sampling frequencies.

3. The method for detecting the sampling frequency of a near-infrared brain functional imaging device according to claim 2, characterized in that, The step of obtaining the first sampling frequency based on the average of a subset of the plurality of second sampling frequencies specifically includes: Sort the second sampling frequencies by size; Remove extreme values ​​from the plurality of second sampling frequencies; The first sampling frequency is determined based on the average value of the second sampling frequency before removal.

4. A device for detecting the sampling frequency of a near-infrared brain functional imaging device, characterized in that, The near-infrared brain functional imaging device includes a transmitting probe and a receiving probe. The sampling frequency detection device includes a phantom and a light-shielding plate. The phantom includes a first body for mounting the transmitting probe and a second body for mounting the receiving probe. A spacer cavity is formed between the first body and the second body, and the first body and the second body are respectively provided with through holes for optical paths. The near-infrared light emitted by the transmitting probe is absorbed by the phantom and received by the receiving probe to perform near-infrared data acquisition. The light-shielding plate is placed in the spacer cavity to block the optical path formed between the transmitting probe and the receiving probe. The device for detecting the sampling frequency of the near-infrared brain functional imaging device includes: The first detection module is configured to acquire first near-infrared data at a first acquisition moment when the light shield is placed in the spacer cavity. The second detection module is configured to acquire second near-infrared data at a second acquisition time when the light-shielding plate is detached from the spacer cavity; wherein the first acquisition time and the second acquisition time are times that occur in sequence. The module is configured to determine the first sampling frequency of the near-infrared brain functional imaging device based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time; and The control module is configured to control the time during which the light-shielding plate moves from being placed in the spacer cavity to being removed from the spacer cavity, such that the time it takes for the light-shielding plate to open the through-hole is less than the time between adjacent sampling moments of the near-infrared brain functional imaging device; wherein... The determining module is further configured to: Based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time, a waveform diagram representing the change of near-infrared data with acquisition time is formed; Determine the rising transition interval of the waveform in the waveform diagram; Determine the start time and end time of the near-infrared data transition within the transition interval; The first sampling frequency is determined based on the transition start time and transition end time.

5. A sampling frequency detection device, characterized in that, It is used to detect the sampling frequency of near-infrared brain functional imaging equipment, and the sampling frequency detection device includes: The phantom body includes a first body for mounting a transmitting probe and a second body for mounting a receiving probe, with a spacer cavity formed between the first body and the second body; A light shield is placed inside the spacer cavity to block the optical path formed between the transmitting probe and the receiving probe; and the first body and the second body are respectively provided with through holes through the optical path, the size of the through holes being configured within a preset size range so that the time from when the light shield covers the through holes to when the through holes are opened is less than the time between adjacent sampling times of the near-infrared brain functional imaging device. The processor is configured to: acquire first near-infrared data at a first acquisition time when the light-shielding plate is placed within the spacer cavity; and acquire second near-infrared data at a second acquisition time when the light-shielding plate is detached from the spacer cavity; wherein the first and second acquisition times are times that occur sequentially; and determine a first sampling frequency of the near-infrared brain functional imaging device based on the first and second near-infrared data, the first acquisition time, and the second acquisition time; wherein... The processor is further configured to: generate a waveform diagram representing the change of near-infrared data with acquisition time based on the first near-infrared data, the second near-infrared data, the first acquisition time, and the second acquisition time; Determine the rising transition interval of the waveform in the waveform diagram; Determine the start time and end time of the near-infrared data transition within the transition interval; The first sampling frequency is determined based on the transition start time and transition end time.

6. The sampling frequency detection device according to claim 5, characterized in that, Both the first body and the second body are covered with a light-shielding layer.

7. A computer-readable medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for detecting the sampling frequency of a near-infrared brain functional imaging device as described in any one of claims 1 to 3.

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