Rapid calibration method, system and equipment and storage medium

Abstract

The invention discloses a rapid calibration method, system and device and a storage medium, and the method comprises the steps: firstly activating a single light source to screen an effective channel, and traversing all light source modules to construct a mutual non-interference grouping table; channel acquisition signals are activated in turns, signal ADC interval detection and gain adjustment are performed, and calibration is completed by verifying that the signal-to-noise ratio reaches the standard, so that the original process of calibrating light sources one by one is converted into parallel calibration based on the grouping table, the calibration time is greatly shortened, manual intervention and operation errors are reduced, and the calibration efficiency is improved. The method is suitable for multi-channel and large-scale array application scenes, and signal consistency and repeatability are improved at the same time.

Description

[0001] Technology Neighborhood

[0002] This invention relates to the field of near-infrared brain functional imaging technology, and in particular to rapid calibration methods, systems, devices and storage media. Background Technology

[0003] Near-infrared brain imaging devices measure changes in cerebral blood oxygen concentration using a combination of light sources and detectors, and are used in cognitive science, medical diagnostics, and other fields. Traditional calibration methods require sequentially illuminating each light source, sampling each receiving channel individually, and determining the gain. This process is time-consuming and not suitable for large-scale channel systems. When the number of channels is large (e.g., 32×32 arrays or higher), calibration time increases significantly, impacting clinical and research efficiency.

[0004] While existing solutions can achieve calibration by lighting up each light source individually, they have the following problems: calibration time increases linearly with the number of channels; and the calibration period is greatly affected by changes in the subject's state, leading to reduced consistency. Summary of the Invention

[0005] The purpose of this invention is to address the technical problems existing in the background art by proposing a rapid calibration method, system, device, and storage medium.

[0006] To achieve the above-mentioned technical objectives, the technical solution adopted by the present invention is as follows:

[0007] A first implementation of the first aspect of the present invention provides a rapid calibration method applied to a brain functional imaging device. The brain functional imaging device includes multiple light source modules and multiple detection modules, with each detection module corresponding one-to-one with a light source module to form multiple detection channels. The detection modules are used to acquire the light source signals of the corresponding light source modules. The rapid calibration method includes:

[0008] S101. Activate one of its light source modules, simultaneously sample each detection module, and filter out multiple effective channels;

[0009] S102. Repeat step S101 until the activation of the last light source module is completed and a non-interfering light source grouping table is constructed. The non-interfering light source grouping table includes each effective channel corresponding to each light source module.

[0010] S103. According to the preset rounds of the non-interfering light source grouping table, activate each effective channel corresponding to each light source module and collect the response signal of each effective channel.

[0011] S104. Detect the ADC range of each response signal and adjust the gain level of the effective channel that is not in the ADC range.

[0012] S105. Detect and determine that the signal-to-noise ratio of each detection module reaches the preset threshold to complete the calibration.

[0013] Optionally, in a second implementation of the first aspect of the present invention, S101 includes:

[0014] S1011. Preset that there is a detection distance between each detection module, wherein the detection distance includes adjacent relationships and non-adjacent relationships;

[0015] S1012. Light up one of the light source modules. The current detection module and all the detection modules adjacent to it can receive the signal, while the other detection modules that are not adjacent to the current detection module cannot receive the signal.

[0016] S1013. Each detection module that can receive signals is used as an effective channel of the current light source module.

[0017] Optionally, in a third implementation of the first aspect of the present invention, the method for determining adjacent and non-adjacent relationships is as follows:

[0018] The total signal is obtained by collecting the signals received by each detection module when one of the light source modules is lit.

[0019] Calculate the amplitude of the total signal and determine whether the amplitude is less than a preset threshold;

[0020] If not, then each detection module that received the signal is determined to be a valid channel.

[0021] Optionally, in the fourth implementation of the first aspect of the present invention, constructing a non-interfering light source grouping table includes:

[0022] S1021. Treat each light source module as a node, and any two light source modules as a light source combination, and perform a set intersection judgment on each effective channel in the combination.

[0023] S1022. When the intersection judgment is not equal to the empty set, the two light source modules used to perform the judgment interfere with each other, and S1021 is re-executed until the light source combination of each light source module is completed.

[0024] S1023. Based on the independent set partitioning algorithm, eliminate light source combinations that interfere with each other to obtain several non-interfering groups, and construct a non-interfering light source grouping table.

[0025] A first implementation of the second aspect of the present invention provides a rapid calibration system. The brain functional imaging device includes multiple light source modules and multiple detection modules, each detection module corresponding one-to-one with each light source module to form multiple detection channels. The detection modules are used to acquire the light source signals of the corresponding light source modules. The rapid calibration system includes:

[0026] The filtering module is used to activate one of its light source modules, simultaneously sample each detection module, and filter out multiple effective channels.

[0027] The grouping table construction module is used to repeatedly execute the filtering module until the last light source module is activated and to construct a non-interfering light source grouping table, which includes each effective channel corresponding to each light source module.

[0028] The round response module is used to activate each effective channel corresponding to each light source module according to the preset rounds in the non-interfering light source grouping table, and to collect the response signals of each effective channel.

[0029] The automatic gain adjustment module is used to detect the ADC range of each response signal and adjust the gain level of the effective channel that is not in the ADC range.

[0030] The calibration module is used to detect and determine that the signal-to-noise ratio of each detection module reaches a preset threshold in order to complete the calibration.

[0031] A first implementation of the third aspect of the present invention provides a rapid calibration device, the rapid calibration device comprising: a memory and at least one processor, the memory storing instructions, and the memory and the at least one processor being interconnected via a line;

[0032] The at least one processor invokes the instructions in the memory to cause the fast calibration device to perform the fast calibration method as described in any one of the first aspects of the invention.

[0033] A first implementation of the fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the fast calibration method as described in any one of the first aspects of the present invention.

[0034] Compared with the prior art, the present invention has the following beneficial technical effects:

[0035] First, activate a single light source to select effective channels, and then traverse all light source modules to build a non-interfering grouping table. Next, activate channels to collect signals in rounds, detect the signal ADC range and adjust the gain, and finally verify that the signal-to-noise ratio meets the standard to complete the calibration. This transforms the original process of calibrating each light source individually into parallel calibration based on the grouping table, which greatly shortens the calibration time, reduces manual intervention and operational errors, adapts to multi-channel and large-scale array application scenarios, and improves signal consistency and repeatability. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the first embodiment of the rapid calibration method in this invention;

[0037] Figure 2 This is a schematic diagram of a second embodiment of the rapid calibration method in this invention;

[0038] Figure 3 This is a schematic diagram of the fourth embodiment of the rapid calibration method in this invention;

[0039] Figure 4 This is a schematic diagram of one embodiment of the rapid calibration system of the present invention;

[0040] Figure 5 This is a schematic diagram of one embodiment of the rapid calibration device in this invention;

[0041] Figure 6 This is a schematic diagram of the execution flow of the fast calibration method in an embodiment of the present invention;

[0042] Figure 7 This is a schematic diagram of the execution flow of effective channel screening in the fast calibration method of this invention.

[0043] Figure 8 This is a schematic diagram showing that the light sources obtained from the 16*16 brain region template do not interfere with each other in the rapid calibration method of this invention.

[0044] Figure 9 This is a schematic diagram illustrating the round-robin order of the grouping table in the fast calibration method of this invention. Detailed Implementation

[0045] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.

[0046] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figures 1-3 as well as Figures 6-9 The rapid calibration method in this embodiment of the invention is applied to a brain functional imaging device. The brain functional imaging device includes multiple light source modules and multiple detection modules. Each detection module corresponds one-to-one with each light source module to form multiple detection channels. The detection modules are used to collect the light source signals of the corresponding light source modules. The rapid calibration method includes:

[0047] S101. Activate one of its light source modules, simultaneously sample each detection module, and filter out multiple effective channels;

[0048] In this embodiment, a light source module is selected for activation, and signals from all detection modules are sampled. Based on the sampling results, detection modules that can receive the light source signal are selected and defined as valid channels. Only modules that have a signal association with the current light source are retained, while invalid modules that do not respond to signals are excluded. This initially locks out the range of detection modules that can be linked for each light source module, avoiding the involvement of irrelevant modules in subsequent operations.

[0049] Furthermore, step S101 can also be performed as follows:

[0050] S1011. Preset that there is a detection distance between each detection module, wherein the detection distance includes adjacent relationships and non-adjacent relationships;

[0051] S1012. Light up one of the light source modules. The current detection module and all the detection modules adjacent to it can receive the signal, while the other detection modules that are not adjacent to the current detection module cannot receive the signal.

[0052] S1013. Each detection module that can receive signals is used as an effective channel of the current light source module.

[0053] In this embodiment, the distance relationships between the detection modules are pre-defined. Adjacent modules represent the short-range range where the signal can be directly transmitted, while non-adjacent modules represent the long-range range where the signal cannot be covered. This avoids range ambiguity issues during subsequent signal testing. The effectiveness of the preset distance rules is verified by illuminating a single light source module. At this point, signal transmission exhibits precise boundaries; only the detection module corresponding to the current light source and its adjacent modules can receive the signal, while non-adjacent modules receive no signal at all. This clearly distinguishes between valid and invalid signals. The module receiving the signal is defined as the valid channel. Subsequently, the system only needs to collect data and transmit commands for the valid channels, eliminating the need for indiscriminate operation on all modules and significantly improving the accuracy of linkage.

[0054] Specifically, the controller sequentially illuminates individual light sources S1, S2... and collects the response signals D1, D2... from all detectors. When a light source Si is illuminated alone, only a few detectors "adjacent" to it receive a significant signal. Assuming the signal magnitude is A, the signal from detectors more than twice the distance will attenuate to less than 0.01 of A, which can be ignored.

[0055] Furthermore, the methods for determining adjacent and non-adjacent relationships are as follows:

[0056] The total signal is obtained by collecting the signals received by each detection module when one of the light source modules is lit.

[0057] Calculate the amplitude of the total signal and determine whether the amplitude is less than a preset threshold;

[0058] If not, then each detection module that received the signal is determined to be a valid channel.

[0059] In this embodiment, each Si is individually illuminated by a short pulse, and all Dj are sampled to calculate the amplitude Aij of Dj. The sampling rate is set, for example, within the range of 100Hz-1kHz, to ensure that short pulse signals can be captured during calibration. The pulse width of the light source is 1–10ms. Based on a preset threshold (τ·Amax), the set of detectors adjacent to the light source is determined. If Aij ≥ τ·Amax (τ can be around 0.01 or adjusted experimentally), then Dj is added to the valid set Ei.

[0060] S102. Repeat step S101 until the activation of the last light source module is completed and a non-interfering light source grouping table is constructed. The non-interfering light source grouping table includes each effective channel corresponding to each light source module.

[0061] In this embodiment, each light source module is activated sequentially, and the corresponding valid channels are selected. Finally, all results are integrated to form a non-interfering light source grouping table. Non-interference is the core principle; that is, each light source module's valid channels belong only to that light source, avoiding overlap between valid channels from different light sources. The grouping table clearly records the one-to-one correspondence between light source modules and their corresponding valid channels, essentially creating an operational index for the system. This solves the signal interference problem when multiple light sources are working simultaneously, laying the foundation for subsequent polling and data acquisition.

[0062] Furthermore, step S102 can also be performed as follows:

[0063] S1021. Treat each light source module as a node, and any two light source modules as a light source combination, and perform a set intersection judgment on each effective channel in the combination.

[0064] S1022. When the intersection judgment is not equal to the empty set, the two light source modules used to perform the judgment interfere with each other, and S1021 is re-executed until the light source combination of each light source module is completed.

[0065] S1023. Based on the independent set partitioning algorithm, eliminate light source combinations that interfere with each other to obtain several non-interfering groups, and construct a non-interfering light source grouping table.

[0066] In this embodiment, the controller treats all light sources as nodes and performs a set intersection judgment on each pair (Si, Sj): if Connect an edge between Si and Sj (indicating interference, they cannot be lit simultaneously). Using an independent set partitioning algorithm, several non-interfering groups are obtained, resulting in a non-interfering light source grouping table.

[0067] S103. According to the preset rounds of the non-interfering light source grouping table, activate each effective channel corresponding to each light source module and collect the response signal of each effective channel.

[0068] In this embodiment, the effective channels corresponding to each light source module are activated one by one according to the preset round order in the grouping table, and the response signals fed back by these channels are collected synchronously. The round design ensures that only one set of effective channels of the light source is activated at the same time, avoiding signal conflicts caused by multiple sets of channels working at the same time, ensuring the independence and accuracy of signal acquisition, and avoiding mutual interference between signals of different channels.

[0069] S104. Detect the ADC range of each response signal and adjust the gain level of the effective channel that is not in the ADC range.

[0070] In this embodiment, the system detects whether the acquired response signal is within a preset ADC range. If the signal exceeds or falls below this range, the gain level of the corresponding effective channel is adjusted. The ADC range is the golden range for effective signal conversion. If the signal is too strong, it will cause distortion; if it is too weak, it cannot be accurately identified. Adjusting the gain level can amplify weak signals or attenuate strong signals, so that the signal falls precisely into the ADC range, ensuring that the signal of each effective channel can be accurately converted into a digital signal, thereby improving the data acquisition accuracy.

[0071] For each valid channel (Si, Dj), the gain level is selected based on the measured amplitude Aij and the target ADC range. The gain level or bias of the receiving channel is automatically adjusted to ensure that the sampled signal is within the ideal range of the ADC's dynamic range. For example, if the ADC full-scale range is Fs and the ideal operating range is p_low·FS, p_high·FS, the ADC reading in the range [p_low·FS, p_high·FS] is, for example, 0.2FS to 0.8FS.

[0072] S105. Detect and determine that the signal-to-noise ratio of each detection module reaches the preset threshold to complete the calibration.

[0073] In this embodiment, the signal-to-noise ratio (SNR) of all detection modules is detected. If all SNRs reach the preset threshold, the system calibration is complete. If they do not reach the threshold, the system returns to the previous steps for readjustment. SNR is a core indicator for measuring the performance of detection modules. Reaching the threshold means that the module can effectively distinguish between valid signals and environmental noise, avoiding misjudgments or missed judgments. Through final verification, the detection accuracy and stability of the entire system are ensured to meet the needs of practical applications. Finally, after calibration, the system checks whether the SNR of each channel reaches the preset threshold. If some channels do not reach the threshold, a local individual retest is triggered or manual intervention is prompted. After calibration, the system saves data such as the light source grouping table, gain configuration parameters, and calibration timestamp.

[0074] In this embodiment, by first activating a single light source to select effective channels, traversing all light source modules to construct a non-interfering grouping table, then activating channels to acquire signals in rounds, detecting the signal ADC range and adjusting the gain, and finally verifying that the signal-to-noise ratio meets the standard to complete the calibration, the process that originally required calibration of each light source individually is transformed into parallel calibration based on the grouping table, which greatly shortens the calibration time, reduces manual intervention and operational errors, adapts to multi-channel, large-scale array application scenarios, and improves signal consistency and repeatability.

[0075] The rapid calibration method in the embodiments of the present invention has been described above. The rapid calibration system in the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 4 The brain functional imaging device includes multiple light source modules and multiple detection modules. Each detection module corresponds one-to-one with a light source module to form multiple detection channels. The detection modules are used to acquire the light source signals of the corresponding light source modules. The rapid calibration system includes:

[0076] The filtering module 201 is used to activate one of its light source modules, simultaneously sample each detection module, and filter out multiple effective channels.

[0077] The grouping table construction module 202 is used to repeatedly execute the filtering module until the activation of the last light source module is completed, and to construct a non-interfering light source grouping table, wherein the non-interfering light source grouping table includes each effective channel corresponding to each light source module.

[0078] The round response module 203 is used to activate each effective channel corresponding to each light source module according to the round preset in the non-interfering light source grouping table, and to collect the response signal of each effective channel.

[0079] The automatic gain adjustment module 204 is used to detect the ADC range of each response signal and adjust the gain level of the effective channel that is not in the ADC range.

[0080] The calibration module 205 is used to detect and determine that the signal-to-noise ratio of each detection module reaches a preset threshold in order to complete the calibration.

[0081] The acquisition module 201 also includes:

[0082] There is a pre-defined detection distance between each detection module, which includes both adjacent and non-adjacent relationships;

[0083] When one of the light source modules is lit, the current detection module and all adjacent detection modules can receive the signal, while the other detection modules that are not adjacent to the current detection module cannot receive the signal.

[0084] Each detection module that can receive signals is used as an effective channel for the current light source module.

[0085] The methods for determining "adjacent relationships and non-adjacent relationships" are as follows:

[0086] The total signal is obtained by collecting the signals received by each detection module when one of the light source modules is lit.

[0087] Calculate the amplitude of the total signal and determine whether the amplitude is less than a preset threshold;

[0088] If not, then each detection module that received the signal is determined to be a valid channel.

[0089] The "Constructing a non-interfering light source grouping table" in the grouping table construction module 202 includes:

[0090] Each light source module is treated as a node, and any two light source modules are treated as a light source combination. The intersection of the effective channels in the combination is then determined.

[0091] When the intersection judgment is not equal to the empty set, the two light source modules used to perform the judgment interfere with each other, and the above steps are re-executed until the light source combination of each light source module is completed;

[0092] Based on the independent set partitioning algorithm, interference light source combinations are eliminated to obtain several non-interfering groups, and a non-interfering light source grouping table is constructed.

[0093] In this embodiment, by first activating a single light source to select effective channels, traversing all light source modules to construct a non-interfering grouping table, then activating channels to acquire signals in rounds, detecting the signal ADC range and adjusting the gain, and finally verifying that the signal-to-noise ratio meets the standard to complete the calibration, the process that originally required calibration of each light source individually is transformed into parallel calibration based on the grouping table, which greatly shortens the calibration time, reduces manual intervention and operational errors, adapts to multi-channel, large-scale array application scenarios, and improves signal consistency and repeatability.

[0094] The above is attached Figure 4 The rapid calibration method in this embodiment of the invention will be described in detail from the perspective of unitized functional entities. The rapid calibration device in this embodiment of the invention will be described in detail from the perspective of hardware processing.

[0095] Figure 5This is a schematic diagram of a rapid calibration device 300 provided in an embodiment of the present invention. The rapid calibration device 300 can vary significantly due to different configurations or performance characteristics. It may include one or more central processing units (CPUs) 310 (e.g., one or more processors) and a memory 320, and one or more storage media 330 (e.g., one or more mass storage devices) storing application programs 333 or data 332. The memory 320 and storage media 330 can be temporary or persistent storage. The program stored in the storage media 330 may include one or more units (not shown in the diagram), each unit may include a series of instruction operations on the rapid calibration device 300. Furthermore, the processor 310 may be configured to communicate with the storage media 330 and execute the series of instruction operations in the storage media 330 on the rapid calibration device 300.

[0096] The rapid calibration device 300 may also include one or more power supplies 340, one or more wired or wireless network interfaces 350, one or more input / output interfaces 360, and / or one or more operating systems 331, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 5 The illustrated rapid calibration device structure does not constitute a limitation on communication protocol devices based on LAN projection. It may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0097] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the steps of the fast calibration method.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0099] The above describes a rapid calibration method or multiple implementations in conjunction with specific content, and does not imply that the specific implementation of the present invention is limited to these descriptions. Any methods or structures that are similar to or identical to those of the present invention, or any technical deductions or substitutions made based on the concept of the present invention, should be considered within the scope of protection of the present invention.

Claims

1. A rapid calibration method applied to brain functional imaging equipment, characterized in that, The brain functional imaging device includes multiple light source modules and multiple detection modules, each detection module corresponding one-to-one with each light source module to form multiple detection channels. The detection modules are used to acquire the light source signals of the corresponding light source modules. The rapid calibration method includes: S101. Activate one of the light source modules, synchronously sample each of the detection modules, and filter out multiple effective channels; S102. Repeat step S101 until the activation of the last light source module is completed and a non-interfering light source grouping table is constructed, wherein the non-interfering light source grouping table includes each effective channel corresponding to each light source module. S103. According to the preset rounds of the non-interfering light source grouping table, activate each effective channel corresponding to each light source module and collect the response signal of each effective channel; S104. Detect the ADC range of each of the response signals, and adjust the gain level of the effective channel that is not in the ADC range; S105. Detect and determine that the signal-to-noise ratio of each of the detection modules reaches a preset threshold to complete the calibration.

2. The rapid calibration method according to claim 1, characterized in that, S101 includes: S1011. Preset that there is a detection distance between each of the detection modules, wherein the detection distance includes adjacent relationships and non-adjacent relationships; S1012. Light up one of the light source modules. The current detection module and each of the adjacent detection modules can receive the signal, while the other detection modules that are not adjacent to the current detection module cannot receive the signal. S1013. Each of the detection modules that can receive signals is used as the effective channel of the current light source module.

3. The rapid calibration method according to claim 2, characterized in that, The method for determining the adjacent and non-adjacent relationships is as follows: The total signal is obtained by collecting the signals received by each of the detection modules when one of the light source modules is lit. Calculate the amplitude of the total signal and determine whether the amplitude is less than a preset threshold; If not, then each of the aforementioned detection modules that received the signal is determined to be a valid channel.

4. The rapid calibration method according to claim 3, characterized in that, The constructed non-interfering light source grouping table includes: S1021. Take each of the light source modules as nodes, and take any two of the light source modules as light source combinations, and perform a set intersection judgment on each of the effective channels therein. S1022. When the intersection judgment is not equal to the empty set, the two light source modules used to perform the judgment interfere with each other, and S1021 is re-executed until the light source combination of each light source module is completed. S1023. Based on the independent set partitioning algorithm, remove the light source combinations that interfere with each other to obtain several non-interfering groups, and construct a non-interfering light source grouping table.

5. A rapid calibration system, characterized in that, The brain functional imaging device includes multiple light source modules and multiple detection modules, each detection module corresponding one-to-one with each light source module to form multiple detection channels. The detection modules are used to acquire the light source signals of the corresponding light source module. The rapid calibration system includes: A filtering module is used to activate one of the light source modules, synchronously sample each of the detection modules, and filter out multiple effective channels; The grouping table construction module is used to repeatedly execute the filtering module until the activation of the last light source module is completed, and to construct a non-interfering light source grouping table, wherein the non-interfering light source grouping table includes each effective channel corresponding to each light source module; The round response module is used to activate each effective channel corresponding to each light source module according to the round preset in the non-interfering light source grouping table, and to collect the response signal of each effective channel; An automatic gain adjustment module is used to detect the ADC range of each response signal and adjust the gain level of the effective channel that is not within the ADC range; The calibration module is used to detect and determine that the signal-to-noise ratio of each of the detection modules reaches a preset threshold in order to complete the calibration.

6. A rapid calibration device, characterized in that, The rapid calibration device includes: a memory and at least one processor, wherein the memory stores instructions, and the memory and the at least one processor are interconnected via a line; The at least one processor invokes the instructions in the memory to cause the fast calibration device to perform the fast calibration method as described in any one of claims 1-4.

7. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements the fast calibration method as described in any one of claims 1-4.

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