Cerebral stroke acupuncture rehabilitation evaluation system and device based on fNIRS dynamic brain function

Abstract

The invention provides a cerebral apoplexy acupuncture rehabilitation evaluation system and device based on fNIRS dynamic brain function, and the system comprises an information obtaining module which is used for obtaining the case related information of a cerebral apoplexy patient; the acupuncture treatment scheme recommendation and optimization module is used for receiving the case related information sent by the information acquisition module and determining an acupuncture scheme of the stroke patient based on the case related information; the fNIRS signal acquisition module is used for acquiring a first fNIRS signal in the resting state process of the stroke patient and a second fNIRS signal in the acupuncture treatment process; the fNIRS brain function response characteristic evaluation module is used for respectively calculating resting state brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient; and the acupuncture effect feedback optimization module is used for determining the treatment effect corresponding to the current acupuncture scheme based on the received resting state brain function characteristics and the acupuncture treatment brain function activation characteristics. According to the system, the acupuncture treatment effect can be accurately evaluated, so that the rehabilitation quality and efficiency of a stroke patient are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of brain function rehabilitation assessment, and in particular to a stroke acupuncture rehabilitation assessment system and device based on fNIRS dynamic brain function. Background Art

[0002] Stroke is a common clinical disease and one of the most serious diseases that endanger human health today. It is characterized by high morbidity, high disability rate, and high mortality rate. At present, there are nearly 30 million stroke patients in my country, and 3.94 million new stroke cases occur each year. About 80% of patients have motor dysfunction, which not only affects their daily life, but also brings a heavy burden to the patient's family and society. Therefore, exploring effective stroke rehabilitation treatment programs and promoting the recovery of stroke motor function are of great significance to reducing the burden on patients' families and society and improving their quality of life.

[0003] Acupuncture treatment of stroke motor dysfunction has been widely used in clinical practice. Previous studies have shown that acupuncture can regulate cerebral blood flow, improve blood supply to the ischemic area, and promote hematoma absorption. It can control inflammation by regulating a variety of related molecules and signal pathways, inhibit the production of inflammatory factors, and resist cell apoptosis, anti-oxidation, and improve the energy metabolism of the brain, promoting the recovery of brain nerve cells. Acupuncture can also activate specific brain areas affected by stroke and promote brain function remodeling related to motor rehabilitation after stroke. The meridian central nervous system theory believes that acupoints have corresponding representative areas on the cerebral cortex. There is a certain functional connection between the human meridians and the various divisions of the cerebral cortex. The regulation of acupuncture effects is the result of interaction and joint participation between multiple functionally connected cortical areas. However, due to significant individual differences in the location of lesions and pathophysiological characteristics of stroke patients, the effects of acupuncture treatment vary. In addition, different stroke stages, degree of sensory motor damage, treatment parameters, etc. may affect the rehabilitation effect, and the personalized parameter settings for patients need further exploration. Reorganization of cerebral cortical function is an important mechanism for functional recovery after stroke; the treatment effect is closely related to the functional response of the central cortex. Therefore, real-time dynamic evaluation of the cortical functional response induced by acupuncture treatment is crucial to optimizing acupuncture treatment plans and improving the effect of motor rehabilitation after stroke.

[0004] However, during the acupuncture treatment of stroke patients, it is impossible to monitor the patient's cortical function response induced by acupuncture in real time, so it is impossible to accurately evaluate the effect of acupuncture and adjust the acupuncture parameters in time, making it difficult to ensure the rehabilitation quality and efficiency of stroke patients. Therefore, how to accurately evaluate the effect of acupuncture and improve the rehabilitation quality and efficiency of stroke patients is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of this, the embodiments of the present invention provide a system and device for evaluating acupuncture rehabilitation of stroke based on fNIRS dynamic brain function, so as to eliminate or improve one or more defects existing in the prior art.

[0006] One aspect of the present invention provides a system and device for evaluating acupuncture rehabilitation of stroke based on fNIRS dynamic brain function, the system comprising:

[0007] An information acquisition module is used to obtain case-related information of a stroke patient, wherein the case-related information includes name, age, onset time, stroke type, and Brunnstrom staging data of upper and lower limb motor function;

[0008] an acupuncture treatment plan recommendation and optimization module, configured to receive the case-related information sent by the information acquisition module, and determine the acupuncture plan for the stroke patient based on the case-related information;

[0009] An fNIRS signal acquisition module is used to acquire a first fNIRS signal of a stroke patient in a resting state and a second fNIRS signal during acupuncture treatment;

[0010] An fNIRS brain function response characteristic evaluation module is used to calculate the resting brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient according to the received first fNIRS signal and the second fNIRS signal;

[0011] The acupuncture effect feedback optimization module determines the treatment effect corresponding to the current acupuncture scheme based on the resting brain function characteristics and acupuncture treatment brain function activation characteristics sent by the fNIRS brain function response characteristic evaluation module.

[0012] In some embodiments of the present invention, the system includes an fNIRS signal preprocessing module, which receives the first fNIRS signal and the second fNIRS signal sent by the fNIRS signal acquisition module and performs signal preprocessing to obtain a preprocessed first fNIRS signal and a preprocessed second fNIRS signal, and sends the preprocessed first fNIRS signal and the preprocessed second fNIRS signal to the fNIRS brain function response characteristic evaluation module.

[0013] In some embodiments of the present invention, the fNIRS signal preprocessing module receives the first fNIRS signal and the second fNIRS signal sent by the fNIRS signal acquisition module and performs signal preprocessing to obtain the preprocessed first fNIRS signal and the preprocessed second fNIRS signal, including:

[0014] The relative coefficients of variation of the first fNIRS signal and the second fNIRS signal are calculated based on the formula CV=σ / μ×100%, and the channels corresponding to the relative coefficients of variation of each fNIRS signal that are greater than a preset value are eliminated, where σ represents the signal standard deviation and μ represents the signal mean;

[0015] Based on the Beer-Lambert law, the first fNIRS signal and the second fNIRS signal of the channel corresponding to the relative coefficient of variation greater than a preset value are eliminated and converted into the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal respectively;

[0016] The first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal are filtered and artifacts are removed to obtain a preprocessed first fNIRS signal and a preprocessed second fNIRS signal.

[0017] In some embodiments of the present invention, the acupuncture effect feedback optimization module is further used to optimize the acupuncture scheme based on the treatment effect to obtain an acupuncture optimization scheme.

[0018] In some embodiments of the present invention, the system includes an information storage module, which receives and stores the case-related information and the acupuncture optimization plan.

[0019] In some embodiments of the present invention, the first fNIRS signal and the second fNIRS signal both include left and right hemisphere prefrontal fNIRS channel signals, left and right hemisphere motor cortex fNIRS channel signals, and left and right hemisphere occipital fNIRS channel signals.

[0020] In some embodiments of the present invention, the acupuncture effect feedback optimization module calculates the cortical function activation response induced by acupuncture treatment based on the resting-state brain function characteristics and the acupuncture treatment brain function activation characteristics, and compares the calculated cortical function activation response with a preset response value. When the cortical function activation response is not greater than the preset response value, the acupuncture scheme is optimized based on the treatment effect to obtain an acupuncture optimization scheme.

[0021] In some embodiments of the present invention, the system includes a dynamic visualization module, which is used to visually display the cortical function activation response and the acupuncture scheme.

[0022] According to another aspect of the present invention, a stroke acupuncture rehabilitation assessment device based on fNIRS dynamic brain function is also disclosed, the device also includes a processor and a memory, the memory stores computer instructions, the processor is used to execute the computer instructions stored in the memory, when the computer instructions are executed by the processor, the device performs the following steps:

[0023] Obtaining case-related information of stroke patients, including name, age, onset time, stroke type, and Brunnstrom staging data of upper and lower limb motor function;

[0024] Determining an acupuncture regimen for the stroke patient based on the case-related information;

[0025] Collect the first fNIRS signal of the stroke patient during resting state and the second fNIRS signal during acupuncture treatment;

[0026] Calculate the resting brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient according to the first fNIRS signal and the second fNIRS signal;

[0027] The therapeutic effect corresponding to the current acupuncture scheme is determined based on the resting-state brain function characteristics and the acupuncture treatment brain function activation characteristics.

[0028] In some embodiments of the present invention, the device further performs the following steps:

[0029] The relative coefficients of variation of the first fNIRS signal and the second fNIRS signal are calculated based on the formula CV=σ / μ×100%, and the channels corresponding to the relative coefficients of variation of each fNIRS signal that are greater than a preset value are eliminated, where σ represents the signal standard deviation and μ represents the signal mean;

[0030] Based on the Beer-Lambert law, the first fNIRS signal and the second fNIRS signal of the channel corresponding to the relative coefficient of variation greater than a preset value are eliminated and converted into the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal respectively;

[0031] The first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal are filtered and artifacts are removed to obtain a preprocessed first fNIRS signal and a preprocessed second fNIRS signal.

[0032] The stroke acupuncture rehabilitation assessment system and device based on fNIRS dynamic brain function provided in the above-mentioned embodiment of the present invention use near-infrared brain function imaging as a parameter guide to detect the cortical function response of patients induced by acupuncture treatment in real time and visually; that is, based on the collected first fNIRS signal of the stroke patient in the resting state process and the second fNIRS signal during the acupuncture treatment process, the resting-state brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient are respectively calculated, and the therapeutic effect of the current acupuncture scheme is evaluated based on the calculated resting-state brain function characteristics and acupuncture treatment brain function activation characteristics. The system can not only accurately evaluate the effect of acupuncture treatment, but also improve the rehabilitation quality and efficiency of stroke patients.

[0033] In addition, the system can also timely adjust the acupuncture plan based on the evaluated acupuncture treatment effect and dynamically optimize individualized acupuncture treatment parameters, thereby further improving the acupuncture treatment effect.

[0034] Additional advantages, purposes, and features of the present invention will be described in part in the following description, and will become apparent to those skilled in the art after studying the following, or may be learned from the practice of the present invention. The purposes and other advantages of the present invention may be achieved and obtained by the structures specifically indicated in the specification and the accompanying drawings.

[0035] Those skilled in the art will appreciate that the objectives and advantages that can be achieved with the present invention are not limited to the above specific description, and the above and other objectives that can be achieved by the present invention will be more clearly understood from the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present invention, constitute a part of this application, and do not constitute a limitation of the present invention. The components in the drawings are not drawn to scale, but are only for illustrating the principles of the present invention. In order to facilitate the illustration and description of some parts of the present invention, the corresponding parts in the drawings may be enlarged, that is, they may become larger relative to other components in the exemplary device actually manufactured according to the present invention. In the drawings:

[0037] Figure 1 Schematic diagram of the structure of a stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to an embodiment of the present application.

[0038] Figure 2 This is a schematic diagram of an acupuncture scheme according to an embodiment of the present application.

[0039] Figure 3 This is a schematic diagram of the arrangement of the near-infrared brain function signal acquisition channels according to an embodiment of the present application.

[0040] Figure 4 This is a schematic diagram of the preprocessing process of near-infrared brain function signals according to an embodiment of the present application.

[0041] Figure 5 This is a schematic diagram of the cerebral cortex activation response induced by acupuncture treatment according to an embodiment of the present application.

[0042] Figure 6 A schematic diagram of a flow chart of adjusting acupuncture treatment parameters by an acupuncture effect feedback optimization module according to an embodiment of the present application.

[0043] Reference numerals:

[0044] Information acquisition module 10 Acupuncture treatment plan recommendation and optimization module 20 fNIRS dynamic brain function guidance module 30 fNIRS signal acquisition module 31 fNIRS signal preprocessing module 32 fNIRS brain function response characteristic evaluation module 33 Acupuncture effect feedback optimization module 34 Information storage module 40 DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0046] It should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only structures and / or processing steps closely related to the solutions according to the present invention are shown in the accompanying drawings, while other details that are not closely related to the present invention are omitted.

[0047] It should be emphasized that the term “include / comprises” when used herein refers to the presence of features, elements, steps or components, but does not exclude the presence or addition of one or more other features, elements, steps or components.

[0048] It should also be noted here that, unless otherwise specified, the term "connection" in this article can refer not only to a direct connection, but also to an indirect connection with an intermediary, not only to a wired connection, but also to a wireless connection, and the specific connection can be changed based on the actual application scenario.

[0049] Functional near-infrared spectroscopy (fNIRS) can dynamically monitor the blood oxygen metabolism of brain tissue. It has the advantages of portability, mobility, and strong anti-motion interference ability, and can reflect the functional activity level of the brain in real time. The concept of blood oxygen metabolism in modern medicine is quite similar to the connotation of "yang energy" in traditional Chinese medicine theory, and the mobilization of yang energy by acupuncture is the key to its therapeutic effect; therefore, based on fNIRS dynamic brain function assessment, it provides an effective detection method for real-time visualization of brain function for stroke acupuncture rehabilitation assessment, and optimizes individualized acupuncture treatment parameters to obtain the best treatment plan.

[0050] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the accompanying drawings, the same reference numerals represent the same or similar components, or the same or similar steps.

[0051] Figure 1 FIG. 1 is a schematic diagram of a stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to an embodiment of the present application. Figure 1As shown, the system at least includes an information acquisition module 10, an acupuncture treatment plan recommendation and optimization module 20, an fNIRS signal acquisition module 31, an fNIRS brain function response characteristic evaluation module 33 and an acupuncture effect feedback optimization module 34.

[0052] The information acquisition module 10 is used to obtain case-related information of a stroke patient, wherein the case-related information includes name, age, onset time, stroke type, and Brunnstrom staging data of upper and lower limb motor function; the acupuncture treatment plan recommendation and optimization module 20 is used to receive the case-related information sent by the information acquisition module 10, and determine the acupuncture plan for the stroke patient based on the case-related information; the fNIRS signal acquisition module 31 is used to collect the first fNIRS signal of the stroke patient during the resting state and the second fNIRS signal during the acupuncture treatment; the fNIRS brain function response feature evaluation module 33 is used to calculate the resting brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient according to the received first fNIRS signal and the second fNIRS signal; the acupuncture effect feedback optimization module 34 determines the treatment effect corresponding to the current acupuncture plan based on the resting brain function characteristics and acupuncture treatment brain function activation characteristics sent by the received fNIRS brain function response feature evaluation module 33.

[0053] In the above embodiment, before the patient receives acupuncture treatment, the basic case-related information is first input based on the information acquisition module 10, and then the acupuncture treatment plan recommendation and optimization module 20 preliminarily recommends an acupuncture plan for treating movement dysfunction for the patient based on the basic case-related information of the patient. Optionally, the acupuncture treatment plan recommendation and optimization module 20 can match the patient in a prescription database storing acupuncture plans. The matched acupuncture plan is as follows: Figure 2 As shown, the acupuncture program includes acupoint and meridian selection, needle retention time, needle movement method, needle twisting time, etc. In some other embodiments, the stroke acupuncture rehabilitation evaluation system may also include a dynamic visualization module, and the dynamic visualization module may display the Figure 2 Acupuncture protocol shown.

[0054] Furthermore, the stroke patient wears a near-infrared brain function imaging device, so that the fNIRS signal acquisition module 31 uses the multi-channel near-infrared brain function imaging device to collect fNIRS signals of the stroke patient during resting state and acupuncture treatment; the near-infrared brain function imaging device covers the bilateral cerebral cortex brain regions of interest related to the motor function of the stroke patient, and the regions of interest specifically include the prefrontal cortex, motor-related cortex and occipital cortex of the left and right hemispheres of the patient; specifically, the motor-related cortex includes the premotor area, supplementary motor area, sensorimotor area and primary motor cortex. Exemplarily, the first fNIRS signal and the second fNIRS signal both include the left and right hemisphere prefrontal fNIRS channel signals, the left and right hemisphere motor cortex fNIRS channel signals and the left and right hemisphere occipital fNIRS channel signals; such as Figure 3 As shown, the symmetry center of the fNIRS channels of the prefrontal lobe of the left and right hemispheres is FpZ, the symmetry center of the fNIRS channels of the motor cortex of the left and right hemispheres is Cz, and the symmetry center of the fNIRS channels of the occipital lobe of the left and right hemispheres is Oz.

[0055] In one embodiment, the sampling frequency of the fNIRS signal of the stroke patient collected in real time in the resting state before acupuncture treatment and during acupuncture treatment can be 10Hz, and the distance between the fNIRS light source and the detector can be 3cm; in addition, the collection of the fNIRS signal in the resting state before acupuncture treatment requires the stroke patient to open his eyes, relax, avoid voluntary movement and talking, and ensure wakefulness; when collecting the fNIRS signal during acupuncture treatment, acupuncture treatment is performed based on the determined preliminary acupuncture plan for the stroke patient, that is, the needle is retained for 10s after the needle is inserted, and then the needle is continued for 1 minute, and the needle is retained after the qi is obtained. In the above embodiment, the collection of fNIRS data in the resting state and during acupuncture treatment is completed in a quiet clinical rehabilitation treatment room, and the fNIRS data of the resting state for 2 minutes before acupuncture treatment and the process of retaining the needle are collected, and the collected fNIRS signals are further transmitted to other modules of the stroke acupuncture rehabilitation evaluation system in real time. In this embodiment, the near-infrared brain function data collected in the resting state before acupuncture treatment is used as a reference baseline for dynamic functional activation response analysis; and in the specific acupuncture treatment process, the therapist retains the needle for 10 seconds after insertion and then continues to move the needle according to the preliminary acupuncture plan, and adjusts the needle insertion depth.

[0056] In some embodiments of the present invention, the stroke acupuncture rehabilitation assessment system may further include an fNIRS signal preprocessing module 32, which receives the first fNIRS signal and the second fNIRS signal sent by the fNIRS signal acquisition module 31 and performs signal preprocessing to obtain the preprocessed first fNIRS signal and the preprocessed second fNIRS signal, and sends the preprocessed first fNIRS signal and the preprocessed second fNIRS signal to the fNIRS brain function response feature assessment module 33. In this embodiment, the fNIRS signal acquisition module 31, the fNIRS signal preprocessing module 32, the fNIRS brain function response feature assessment module 33 and the acupuncture effect feedback optimization module 34 are combined into an fNIRS dynamic brain function guidance module 30, which is used to collect and analyze infrared brain function signals in the resting state before acupuncture treatment and during acupuncture treatment, and to provide real-time feedback on cortical function characteristics during acupuncture treatment, so as to guide the adjustment of acupuncture treatment parameters.

[0057] In addition, if Figure 4 As shown, the fNIRS signal preprocessing module 32 preprocesses the optical signal collected by the fNIRS signal acquisition module 31, specifically including the following steps: (1) using the signal-to-noise ratio to check the channel signal; (2) converting the optical signal into a brain blood oxygen concentration signal; (3) using a bandpass filter to remove baseline drift and high-frequency noise; and (4) removing motion artifacts.

[0058] exist Figure 4 In the illustrated embodiment, the optical signal is sequentially subjected to a signal-to-noise ratio test to eliminate channel signals with low signal-to-noise ratios, the optical signal is converted into a brain blood oxygen concentration signal, a bandpass filter is used to remove baseline drift and high-frequency noise, and a moving standard deviation and amplitude threshold based on a sliding window are used to remove motion artifact noise, thereby completing signal preprocessing. After the preprocessing, each channel signal is transmitted to the fNIRS brain function response characteristic evaluation module 33.

[0059] In the step of checking the channel signal using the signal-to-noise ratio, the signal-to-noise ratio is checked by the light intensity data collected by two wavelengths of near-infrared light, and the channel signals with low signal-to-noise ratio are eliminated. In order to estimate the signal-to-noise ratio of the data channel, the relative coefficient of variation (CV, %) is calculated for the original signals of 760nm and 850nm to estimate the signal-to-noise ratio of the channel data. Specifically, the relative coefficient of variation of the first fNIRS signal and the second fNIRS signal collected by the near-infrared brain functional imaging device is calculated based on the formula CV=σ / μ×100%, and the channels corresponding to the relative coefficient of variation greater than the preset value in each fNIRS signal are eliminated, where σ represents the signal standard deviation and μ represents the signal mean. In this step, the CV value of each channel during the entire task paradigm acquisition process is calculated, and the measurement channels with CV values ​​greater than 15% of any wavelength signal are eliminated.

[0060] In the step of converting the optical signal into the cerebral blood oxygen concentration signal, based on the modified Beer-Lambert law, according to the detected light intensity change, the oxygenated hemoglobin concentration Δ[oxy-Hb] signal is converted. Specifically, in this step, based on the Beer-Lambert law, the first fNIRS signal and the second fNIRS signal of the channel corresponding to the relative coefficient of variation greater than the preset value are eliminated, respectively converted into the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal.

[0061] In the step of removing baseline drift and high-frequency noise by bandpass filtering, the original light intensity signal is bandpass filtered using a zero-phase sixth-order Butterworth filter to remove high-frequency and ultra-low-frequency interference components. Specifically, a 0.01-0.2 Hz Butterworth bandpass filter is used to filter out physiological noise including heart rate and respiratory activity; that is, this step filters the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal.

[0062] In the step of removing motion artifacts, a sliding average method is used to eliminate obvious abnormal points in the signal within the window, and then motion artifacts are removed based on a moving standard deviation and cubic spline interpolation method; specifically, this step performs artifact removal on the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal; that is, a sliding window of a moving standard deviation and an amplitude threshold is used to identify motion artifacts of the filtered signal, and the artifacts are further removed through cubic spline interpolation.

[0063] The fNIRS signal preprocessing module 32 performs data preprocessing of the near-infrared signal on the fNIRS signal collected by the fNIRS signal acquisition module 31 based on the above steps, and transmits each channel signal after preprocessing to the fNIRS brain function response characteristic evaluation module 33.

[0064] The fNIRS brain function response characteristic evaluation module 33 is used to calculate the resting brain function characteristics and the dynamic response characteristics of cortical activation induced by acupuncture treatment. Exemplarily, a 20-second sliding window and a continuous window t with a step size of 5 seconds can be selected to dynamically calculate the brain function activation response characteristics of the preprocessed Δ[oxy-Hb] signal in real time. In addition, a time series analysis is performed on the preprocessed fNIRS signal in the time domain window t, with time as the horizontal axis and the change in oxygenated hemoglobin concentration as the vertical axis; the average values ​​in the time window are calculated by superposition and averaging, respectively, to characterize the level of cortical function activation; the cortical function activation response can also be displayed based on the visualization module, and the display effect diagram is as follows: Figure 5 shown.

[0065] In some other embodiments, the acupuncture effect feedback optimization module 34 is also used to optimize the acupuncture scheme based on the treatment effect to obtain an acupuncture optimization scheme. Exemplarily, the acupuncture effect feedback optimization module 34 calculates the cortical function activation response induced by acupuncture treatment based on the resting state brain function characteristics and the acupuncture treatment brain function activation characteristics, and compares the calculated cortical function activation response with a preset response value. When the cortical function activation response is not greater than the preset response value, the acupuncture scheme is optimized based on the treatment effect to obtain an acupuncture optimization scheme.

[0066] Exemplarily, the acupuncture effect feedback optimization module 34 receives the brain function activation characteristics output by the fNIRS brain function response characteristic evaluation module 33, and determines the output feedback. Figure 6 As shown, after receiving the brain function activation feature, the module normalizes the average value of the change in channel-level oxyhemoglobin concentration during acupuncture treatment compared to the resting state before acupuncture. The cortical function activation response induced by acupuncture treatment = (activation level under acupuncture state - activation level under resting state) / (activation level under acupuncture state + activation level under resting state); further, by averaging the brain regions of interest, the activation response induced by acupuncture intervention at the brain region level is calculated; the activation response is further judged. If it is greater than 0, it means that acupuncture can induce a significant activation response compared to the resting state. If it is less than 0, it means that acupuncture has not effectively induced an activation response. At this time, feedback can be provided to remind the clinician to adjust the acupuncture parameters. In addition, the cortical function activation response induced by acupuncture treatment calculated by the acupuncture effect feedback optimization module 34 can be further combined with the spatial position of the near-infrared light source and the detector to realize the dynamic visualization display of the activation response at the channel level.

[0067] In some other embodiments of the present invention, the stroke acupuncture rehabilitation evaluation system further includes an information storage module 40, which receives the case-related information and the acupuncture optimization scheme for storage. The information storage module 40 is used to store the acupuncture treatment parameter scheme optimized by the patient's near-infrared brain function guidance, and accumulate to form an acupuncture prescription database, so that the acupuncture treatment scheme recommendation and optimization module 20 can match the recommended acupuncture treatment scheme according to the patient's basic medical record information; in addition, based on the near-infrared brain function response characteristics stored in the information storage module 40, the patient's long-term acupuncture treatment rehabilitation effect can also be evaluated.

[0068] For example, the stroke acupuncture rehabilitation evaluation system based on the above embodiment can use the following steps to complete the evaluation of the acupuncture treatment effect of the patient:

[0069] 1) Before receiving acupuncture treatment, the patient first entered basic medical information, including name, age, gender, onset time, stroke type, and Brunnstrom stage of upper and lower limb motor function.

[0070] 2) After step 1) is executed, the acupuncture treatment plan recommendation and optimization module 20 matches and recommends a preliminary acupuncture intervention prescription based on the input basic medical record information.

[0071] 3) After step 2) is performed, the patient wears a near-infrared brain function imaging device to collect near-infrared brain function data of the patient in a resting state for 2 minutes before acupuncture treatment.

[0072] 4) After step 3), the doctor performs treatment according to the preliminary acupuncture plan, that is, the needle is retained for 10 seconds after insertion, and then the needle is continuously moved and the insertion depth is adjusted. Through the fNIRS dynamic brain function guidance module 30, the cortical activation response characteristics induced by acupuncture are synchronously processed and analyzed in real time and dynamically visualized; when the cortical activation degree characteristics exceed the baseline characteristics, the acupuncture is stopped, and the acupuncture points, acupuncture duration and insertion depth are determined; if the cerebral cortex activation level is lower than the baseline level, the acupuncture effect feedback optimization module 34 is used to remind the needle twisting operation until a complete acupuncture treatment is completed.

[0073] 5) After an acupuncture treatment, the information storage module 40 saves the parameters of the current treatment, including but not limited to the acupuncture treatment parameter scheme and the near-infrared brain function dynamic response characteristics after the near-infrared brain function guidance is optimized during the treatment process.

[0074] 6) Multiple acupuncture treatments are performed according to steps 1-5). At the end of the treatment course, the information storage module displays multiple treatment parameters, including but not limited to near-infrared activation parameters and acupuncture parameter results, to compare and evaluate the effect of acupuncture rehabilitation treatment.

[0075] The stroke acupuncture rehabilitation evaluation system of the above-mentioned embodiment is based on the meridian central nervous system related theory and the principle of brain function plasticity, utilizes the high temporal resolution and appropriate spatial resolution characteristics of near-infrared brain functional imaging technology, and is guided by functional near-infrared spectral imaging. It can detect the cortical function response of patients induced by acupuncture treatment in real time through visual detection, realize the functions of acupuncture treatment effect detection, acupuncture treatment parameter adjustment feedback and acupuncture efficacy evaluation, dynamically optimize individualized acupuncture treatment parameters, and improve the patient's rehabilitation quality and efficiency.

[0076] Correspondingly, the present invention also provides a stroke acupuncture rehabilitation assessment device based on fNIRS dynamic brain function, the device also includes a processor and a memory, the memory stores computer instructions, the processor is used to execute the computer instructions stored in the memory, when the computer instructions are executed by the processor, the device performs the following steps: obtaining case-related information of a stroke patient, the case-related information including name, age, onset time, stroke type, and Brunnstrom staging data of upper and lower limb motor function; determining an acupuncture scheme for the stroke patient based on the case-related information; collecting a first fNIRS signal of the stroke patient during a resting state and a second fNIRS signal during acupuncture treatment; calculating the resting brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient according to the first fNIRS signal and the second fNIRS signal; determining the treatment effect corresponding to the current acupuncture scheme based on the resting brain function characteristics and acupuncture treatment brain function activation characteristics.

[0077] Furthermore, the stroke acupuncture rehabilitation assessment device also performs the following steps: based on the formula CV=σ / μ×100%, the relative coefficients of variation of the first fNIRS signal and the second fNIRS signal are respectively calculated, and the channels corresponding to the relative coefficients of variation greater than a preset value in each fNIRS signal are eliminated, wherein σ represents the signal standard deviation and μ represents the signal mean; based on the Beer-Lambert law, the first fNIRS signal and the second fNIRS signal from which the channels corresponding to the relative coefficients of variation greater than the preset value are eliminated are respectively converted into the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal; the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal are filtered and artifacts are removed to obtain the preprocessed first fNIRS signal and the preprocessed second fNIRS signal.

[0078] It should be understood by those skilled in the art that the exemplary components, systems and methods described in conjunction with the embodiments disclosed herein can be implemented in hardware, software or a combination of the two. Whether it is performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present invention are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link via a data signal carried in a carrier.

[0079] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

[0080] In the present invention, features described and / or illustrated for one embodiment may be used in the same or similar manner in one or more other embodiments, and / or combined with features of other embodiments or replace features of other embodiments.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the embodiments of the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function, characterized in that: The system comprises: An information acquisition module is used to obtain case-related information of a stroke patient, wherein the case-related information includes name, age, onset time, stroke type, and Brunnstrom staging data of upper and lower limb motor function; an acupuncture treatment plan recommendation and optimization module, configured to receive the case-related information sent by the information acquisition module, and determine the acupuncture plan for the stroke patient based on the case-related information; An fNIRS signal acquisition module is used to acquire a first fNIRS signal of a stroke patient in a resting state and a second fNIRS signal during acupuncture treatment; An fNIRS brain function response characteristic evaluation module is used to calculate the resting brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient according to the received first fNIRS signal and the second fNIRS signal; The acupuncture effect feedback optimization module determines the treatment effect corresponding to the current acupuncture scheme based on the resting brain function characteristics and acupuncture treatment brain function activation characteristics sent by the fNIRS brain function response characteristic evaluation module.

2. The stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to claim 1, characterized in that: The system includes an fNIRS signal preprocessing module, which receives the first fNIRS signal and the second fNIRS signal sent by the fNIRS signal acquisition module and performs signal preprocessing to obtain the preprocessed first fNIRS signal and the preprocessed second fNIRS signal, and sends the preprocessed first fNIRS signal and the preprocessed second fNIRS signal to the fNIRS brain function response characteristic evaluation module.

3. The stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to claim 2, characterized in that: The fNIRS signal preprocessing module receives the first fNIRS signal and the second fNIRS signal sent by the fNIRS signal acquisition module and performs signal preprocessing to obtain the preprocessed first fNIRS signal and the preprocessed second fNIRS signal, including: The relative coefficients of variation of the first fNIRS signal and the second fNIRS signal are calculated based on the formula CV=σ / μ×100%, and the channels corresponding to the relative coefficients of variation of each fNIRS signal that are greater than a preset value are eliminated, where σ represents the signal standard deviation and μ represents the signal mean; Based on the Beer-Lambert law, the first fNIRS signal and the second fNIRS signal of the channel corresponding to the relative coefficient of variation greater than a preset value are eliminated and converted into the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal respectively; The first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal are filtered and artifacts are removed to obtain a preprocessed first fNIRS signal and a preprocessed second fNIRS signal.

4. The acupuncture rehabilitation assessment system for stroke based on fNIRS dynamic brain function according to claim 1, characterized in that: The acupuncture effect feedback optimization module is also used to optimize the acupuncture scheme based on the treatment effect to obtain an acupuncture optimization scheme.

5. The stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to claim 4, characterized in that: The system comprises an information storage module, which receives and stores the case-related information and the acupuncture optimization scheme.

6. The stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to claim 1, characterized in that: The first fNIRS signal and the second fNIRS signal both include left and right hemisphere prefrontal fNIRS channel signals, left and right hemisphere motor cortex fNIRS channel signals, and left and right hemisphere occipital fNIRS channel signals.

7. The acupuncture rehabilitation assessment system for stroke based on fNIRS dynamic brain function according to claim 4, characterized in that: The acupuncture effect feedback optimization module calculates the cortical function activation response induced by acupuncture treatment based on the resting-state brain function characteristics and the acupuncture treatment brain function activation characteristics, and compares the calculated cortical function activation response with a preset response value. When the cortical function activation response is not greater than the preset response value, the acupuncture scheme is optimized based on the treatment effect to obtain an acupuncture optimization scheme.

8. The stroke acupuncture rehabilitation assessment system based on fNIRS dynamic brain function according to claim 7, characterized in that: The system includes a dynamic visualization module, which is used to visually display the cortical function activation response and the acupuncture scheme.

9. A stroke acupuncture rehabilitation assessment device based on fNIRS dynamic brain function, the device also includes a processor and a memory, characterized in that: The memory stores computer instructions, and the processor is used to execute the computer instructions stored in the memory. When the computer instructions are executed by the processor, the device performs the following steps: Obtaining case-related information of stroke patients, including name, age, onset time, stroke type, and Brunnstrom staging data of upper and lower limb motor function; Determining an acupuncture regimen for the stroke patient based on the case-related information; Collect the first fNIRS signal of the stroke patient during resting state and the second fNIRS signal during acupuncture treatment; Calculate the resting brain function characteristics and acupuncture treatment brain function activation characteristics of the stroke patient according to the first fNIRS signal and the second fNIRS signal; The therapeutic effect corresponding to the current acupuncture scheme is determined based on the resting-state brain function characteristics and the acupuncture treatment brain function activation characteristics.

10. The acupuncture rehabilitation assessment device for stroke based on fNIRS dynamic brain function according to claim 1, characterized in that: The device also performs the following steps: The relative coefficients of variation of the first fNIRS signal and the second fNIRS signal are calculated based on the formula CV=σ / μ×100%, and the channels corresponding to the relative coefficients of variation of each fNIRS signal that are greater than a preset value are eliminated, where σ represents the signal standard deviation and μ represents the signal mean; Based on the Beer-Lambert law, the first fNIRS signal and the second fNIRS signal of the channel corresponding to the relative coefficient of variation greater than a preset value are eliminated and converted into the first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal respectively; The first oxygenated hemoglobin concentration signal and the second oxygenated hemoglobin concentration signal are filtered and artifacts are removed to obtain a preprocessed first fNIRS signal and a preprocessed second fNIRS signal.

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