WO2024031872A1

WO2024031872A1 - Motor neuromuscular vascular coupling function detection system

Info

Publication number: WO2024031872A1
Application number: PCT/CN2022/134255
Authority: WO
Inventors: 崔晗; 李光林
Original assignee: 中国科学院深圳先进技术研究院
Priority date: 2022-08-10
Filing date: 2022-11-25
Publication date: 2024-02-15
Also published as: CN115177214A

Abstract

Provided is a motor neuromuscular vascular coupling function detection system, which comprises: a muscle oxygen measurement module (11), covering a part to be detected and configured to acquire a muscle oxygen signal of said part under motor stimulation, wherein the muscle of said part is associated with a target motor nerve; and a processor (12), configured to acquire state time information. The muscle oxygen measurement module (11) acquires the muscle oxygen signal of said part under motor stimulation, a time response characteristic parameter of the muscle oxygen signal is determined on the basis of the state time information, and a motor neuromuscular vascular coupling analysis result of said part is determined on the basis of the time response characteristic parameter.

Description

Motor neuromuscular vascular coupling function detection system

This application claims priority to the Chinese patent application with application number 202210954259.4, which was submitted to the China Patent Office on August 10, 2022. The entire content of the above application is incorporated into this application by reference.

Technical field

Embodiments of the present application relate to the field of medical equipment, for example, to a motor neuromuscular vascular coupling function detection system.

Background technique

Neurovascular coupling means that local nerve activity will cause an increase in local nerve blood flow supply. Therefore, by detecting the increase in local nerve blood flow, nerve function activity can be judged. Motor nerves realize human movement functions by controlling muscle contraction. Motor nerve damage can lead to a decrease in human movement ability or even loss of movement ability. Therefore, the evaluation of motor nerve-vascular coupling function has important physiological and medical significance.

In neuroscience, neurovascular coupling function is often assessed by stimulating neural activity to detect increased perineural blood flow. Functional magnetic resonance imaging (fMRI) uses the principle of neurovascular coupling to reflect areas of brain nerve functional activity by detecting areas of changes in blood flow in brain tissue.

Functional assessment of neurovascular coupling is generally performed on cranial nerves, such as the fMRI technique described above. Brain nerve tissue is concentrated and large in volume. When evaluating neurovascular coupling, neuroelectric recording electrodes and cerebral blood flow imaging devices can be directly placed on the scalp or brain tissue to obtain nerve electrical activity and blood flow information.

Although peripheral nerves also have physiological phenomena of neurovascular coupling, the diameter of peripheral nerves is less than 1 mm and they are embedded in peripheral tissues. It is difficult to non-invasively locate the location of peripheral nerves and evaluate their neurovascular coupling function. In other words, the neurovascular coupling function cannot be used to detect the motor neuromuscular vascular coupling function.

Contents of the invention

Embodiments of the present application provide a motor neuromuscular vascular coupling function detection system.

In a first aspect, embodiments of the present application provide a motor neuromuscular vascular coupling function detection system, which includes:

The muscle oxygen measurement module covers the site to be measured and is configured to obtain the muscle oxygen signal of the site to be measured under exercise stimulation, wherein the muscles of the site to be measured are associated with the target motor nerves;

A processor configured to obtain state time information; obtain the muscle oxygen signal of the site to be measured under exercise stimulation through the muscle oxygen measurement module; determine the time response characteristic parameters of the muscle oxygen signal based on the state time information; The motor neuromuscular coupling analysis result of the site to be measured is determined based on the time response characteristic parameter.

Description of drawings

Figure 1 is a structural block diagram of a motor neuromuscular vascular coupling function detection system provided by an embodiment of the present application;

Figure 2 is a schematic structural diagram of a muscle oxygen measurement module provided by an embodiment of the present application;

Figure 3 is a schematic structural diagram of another muscle oxygen measurement module provided by an embodiment of the present application;

Figure 4 is the characteristic absorption spectrum of deoxygenated hemoglobin and oxygenated hemoglobin provided by the embodiment of the present application;

Figure 5 is a structural block diagram of yet another motor neuromuscular vascular coupling function detection system provided by an embodiment of the present application;

Figure 6 is a schematic structural diagram of the combination of the electromyography measurement module and the muscle oxygen measurement module provided by the embodiment of the present application;

Figure 7 is a schematic structural diagram of a paradigm defining device provided by an embodiment of the present application;

Figure 8 is a structural block diagram of yet another motor neuromuscular vascular coupling function detection system provided by an embodiment of the present application.

Detailed ways

The following will clearly and completely describe the embodiments of the present application through implementation modes with reference to the accompanying drawings in the embodiments of the present application.

Embodiments of the present application provide a motor neuromuscular vascular coupling function detection system, which solves the problem that existing neurovascular coupling devices cannot be used to detect the motor neuromuscular vascular coupling function.

Example

Figure 1 is a structural block diagram of a motor neuromuscular vascular coupling function detection system provided by an embodiment of the present application. This embodiment can detect the motor neuromuscular vascular coupling function. The system includes a muscle oxygen measurement module 11 and a processor 12. The muscle oxygen measurement module 11 covers the site to be measured and is used to obtain the muscle oxygen signal of the site to be measured under exercise stimulation, where the muscles of the site to be measured are related to the target movement. Neural correlation; the processor 12 is used to obtain state time information; obtain the muscle oxygen signal of the part to be measured under exercise stimulation through the muscle oxygen measurement module; determine the time response characteristic parameter of the muscle oxygen signal; determine the time response characteristic parameter based on the time response characteristic parameter The results of motor neuromuscular coupling analysis at the measured site.

Among them, the exercise stimulus is a muscle contraction stimulus. That is to say, the muscle oxygen measurement module is used to obtain the muscle oxygen signal when the part to be measured is in exercise. The duration of a single motion stimulation can be selected to be greater than or equal to 1 second.

Among them, the target motor nerves are peripheral motor nerves.

Among them, the motor neuromuscular coupling analysis results are coupling results in the time dimension, including coupling parameters distributed with state time.

In one embodiment, as shown in Figure 2, the muscle oxygen measurement module 11 includes one or more transmitting units 111, and one or more receiving units 112 disposed in the vicinity of each transmitting unit 111; the processor 12 is configured to When a trigger signal is detected, the triggering sequence of each transmitting unit 111 is obtained; based on the set timing, at least one transmitting unit 111 is simultaneously controlled to output detection light of a set duration and a set wavelength according to the triggering sequence, and the at least one triggered unit is controlled. The receiving unit 112 in the vicinity of the transmitting unit 111 receives the muscle oxygen signal within a set time period. Regarding the triggering sequence, for example, the identification sequence of the transmitting units is used as the triggering sequence.

For example, the muscle oxygen measurement module includes a transmitting unit and four receiving units distributed in the vicinity of the transmitting unit, and the four receiving units are evenly distributed around the transmitting unit. Based on the set timing, the emission unit is alternately controlled to output detection light with a set duration and a wavelength of 850 nm, and to output detection light with a set duration and a wavelength of 760 nm. At the same time, no matter what wavelength of detection light the emission unit outputs, it is controlled. The four receiving units receive muscle oxygen signals. It can be understood that when the emission unit outputs detection light of 850 nm, the four receiving units receive the first muscle oxygen signal, and when the emission unit outputs detection light of 760 nm, the four receiving units receive the second muscle oxygen signal. oxygen signal.

In one embodiment, the emission unit may be a light emitter including one or more light sources, but is not limited thereto.

In one embodiment, the receiving unit may be a photodetector, such as a photodetector (photodiode, PD), avalanche photodiode (APD), photomultiplier tube (photomultiplier tube, PMT), etc.

Exemplarily, as shown in Figure 2, the muscle oxygen measurement module includes at least two transmitting units, and at least two receiving units distributed in the vicinity of the transmitting unit, and the at least two receiving units are evenly distributed around the transmitting unit. . Any emission unit is triggered twice in sequence and is used to output the detection light of the first set wavelength and the detection light of the second set wavelength respectively. The detection light of the first set wavelength corresponds to the oxygenated hemoglobin signal. The detection light of the set wavelength corresponds to the deoxygenated hemoglobin signal, or the detection light of the first set wavelength corresponds to the deoxygenated hemoglobin signal, and the detection light of the second set wavelength corresponds to the oxygenated hemoglobin signal.

In one embodiment, the muscle oxygen measurement module 11 includes at least two transmitting units, and the at least two transmitting units are distributed in an array to form a transmitting unit array. The emission unit array is divided into at least two areas. As shown in Figure 3, the emission unit is divided into left and right areas by a dotted line. At any detection moment, at least one transmitting unit in the at least two areas is triggered. In this way, at least two transmitting units of the muscle oxygen measurement module are triggered at the same detection time.

In one embodiment, the one or more transmitting units and the corresponding receiving units of the one or more transmitting units are disposed on a bottom film, and the bottom film is made of flexible material.

Among them, the state time information is used to describe the time information corresponding to different states of the patient. The time response characteristic parameters of muscle oxygen signal, including response time and response amplitude. For example, the time response characteristic parameter is determined based on the corresponding relationship between the hemoglobin concentration corresponding to the muscle oxygen signal and the state time information. The hemoglobin concentration determination method includes: the muscle oxygen measurement module uses two different wavelengths (850nm and 760nm) of near-infrared light incident into muscle tissue, because oxygenated hemoglobin (HbO2) and deoxygenated hemoglobin (HHb) in muscle have characteristic absorption peaks in the 850nm and 760nm bands respectively, as shown in Figure 4. Therefore, by combining two wavelengths of near-infrared light, the concentration of oxygenated hemoglobin and deoxygenated hemoglobin in muscle tissue can be calculated. The algorithm is as follows:

Among them, I' and I represent the intensity of the outgoing light and the incident light respectively. The angle subscripts λ1 and λ2 respectively represent two different wavelengths of light,

and ε _HHb represent the light absorption coefficient of oxygenated hemoglobin and the light absorption coefficient of deoxygenated hemoglobin respectively,

and C _HHb are the concentration of oxygenated hemoglobin and the concentration of deoxygenated hemoglobin respectively, r is the distance between the transmitting unit and the receiving unit, DPF is the weight coefficient of the distance r, which is called the differential path factor, and G is the difference between oxygenated hemoglobin and deoxygenated hemoglobin in the tissue. Tissue light absorption coefficient of hemoglobin, in the formula,

and C _HHb are the parameters to be found, and other parameters except G are known. Since the absorption of light of each wavelength in the tissue is different, by using the light of two wavelengths to alternately illuminate the tissue to be measured, two equations can be obtained to solve the unknown variables.

and C _HHb . After the transmitting unit outputs the incident light, the incident light passes through an arc-shaped path in the tissue and is received by the detector (receiving unit). This signal reflects the blood oxygen concentration information of all muscle tissues through which the incident light passes.

In one embodiment, the state time information is determined based on the state trigger signal input by the user. For example, the patient presses the trigger button while forcibly contracting the muscles of the site to be measured. At this time, the indicator light corresponding to the trigger button is red, and the processor records the contraction start time according to the trigger signal output by the trigger button; the patient is at the site to be measured. When the muscles turn to relax and rest, press the trigger button again. At this time, the indicator light corresponding to the trigger button is green. The processor records the recovery start time according to the recovery start signal output by the trigger button. According to at least one contraction start time and At least one recovery start time determines the status time information. It can be understood that the state time information is used to record the time period information of the patient's part to be measured in a moving state and the time period information in a resting state.

In one embodiment, as shown in Figures 5 and 6, the system also includes an electromyography measurement module 13, and the state time information is obtained based on the electromyography measurement module 13. For example, the myoelectric measurement module 13 is used to obtain the electromyographic signal of the part to be measured under exercise stimulation; the processor 12 is also used to control the triggered transmitting unit 111 and the transmitting unit 111 when any one of the transmitting units 111 is triggered. All electrodes 131 between the receiving units 112 in the neighborhood output stimulation current to obtain the electromyographic signal of the site to be measured; for each electrode channel, the evoked electrical signal in the electromyographic signal is extracted, and the state time information is determined based on the evoked electrical signal. , and determine the time response characteristic parameters of the muscle oxygen signal based on the state time information; determine the motor neuromuscular vascular coupling analysis results of the test site in the time dimension based on the time response characteristic parameters. It can be understood that the evoked electrical signal can be used to represent the switching of muscle states, so the state time information of the patient's part to be measured can be determined based on the evoked electrical signal.

In one embodiment, any electrode has the function of outputting stimulation current and collecting myoelectric signals. After the original myoelectric signals are collected by the electrodes, the myoelectric signals are sequentially input to the amplification circuit, the shielding circuit, and the analog-to-digital conversion ( analog-to-digital converter (ADC) circuit to convert analog signals into digital signals to generate myoelectric signals, and then transmit the myoelectric signals to the host computer through optical fibers. The host computer can be a personal computer, workstation, or server. It can be understood that if the data processing of the electromyographic signal is completed by the local processor, then the electromyographic signal output by the analog-to-digital conversion circuit is stored in the local memory, so that the local processor determines its corresponding time response characteristic parameter.

In one embodiment, the processor is further configured to generate a muscle oxygen topography map sequence based on the first set feature of the muscle oxygen signal, and generate a myoelectric topography map sequence based on the second set feature of the myoelectric signal; determine the The position difference of activation intensity in the muscle oxygen topography map and the muscle oxygen topography map is used to obtain the position difference parameter; based on the position difference parameter, the motor neuromuscular vascular coupling analysis result of the test site in the spatial dimension is determined. Among them, the position difference parameter can be selected as correlation coefficient, activation area comparison or activation position comparison. Combined with the foregoing embodiments, it is possible to determine the motor neuromuscular coupling analysis results of the site to be measured in the time dimension and the space dimension.

Among them, the method for determining the muscle oxygen topography includes: preprocessing the muscle oxygen signal to obtain an updated muscle oxygen signal. The preprocessing includes but is not limited to filtering for removing physiological noise, system noise and exercise interference; The first set characteristic value of the subsequent muscle oxygen signal is normalized to generate a muscle oxygen topography map. Wherein, the first set characteristic value is the concentration of oxygenated hemoglobin, the concentration of deoxygenated hemoglobin or the blood oxygen saturation information of the site to be measured. Exemplarily, the first set feature is blood oxygen content information, the standardized value of the blood oxygen saturation information is corresponding to the set color, the spatial distribution of the receiving unit is used to realize the spatial visualization of the blood oxygen saturation, and the time change is used to realize Time visualization.

Among them, the method for determining the electromyographic topography includes: preprocessing the electromyographic signal to update the electromyographic signal. The preprocessing includes but is not limited to filtering; performing feature extraction on the updated electromyographic signal to obtain a feature that can reflect the electromyographic energy. A second set feature of intensity; normalize the second set feature to a value between 0 and 1 to obtain an electromyographic topography map. Among them, the second set feature can use different colors to represent different values in the electromyographic topography map. For example, red represents 1, and blue represents 0. The closer it is to 1, the redder it is, and the closer it is to 0, the bluer. The spatial distribution of spatial electrode positions is used to achieve spatial visualization of the second set feature. It can be understood that time visualization of the second set feature can be achieved by utilizing time changes. Wherein, the second set feature may be a frequency domain feature or a time domain feature of the electromyographic signal. Among them, time domain features include but are not limited to root mean square, integral value, average value, and standard deviation; frequency domain features include but are not limited to average frequency and median frequency.

In one embodiment, as shown in Figure 6, one or more transmitting units and receiving units corresponding to the one or more transmitting units, as well as electrodes disposed between adjacent transmitting units and receiving units are disposed on the bottom film 10, the bottom film is made of flexible material.

In one embodiment, the system further includes a paradigm defining device. The paradigm defining device includes a body and a fixed structure provided on the body, for fixing the body part where the part to be measured is located on the body through the fixed structure, so that the body part is in motion. The posture of the body part under stimulation where the area to be measured is located remains unchanged. Among them, the shape of the body varies with the parts to be measured. Exemplarily, the paradigm defining device 14 in Figure 7 is adapted to the biceps brachii, and its body includes a flat-shaped first part 141, and a flat-shaped second part 142 connected to one end of the first part, and the first part 141 and The angle between the second parts 142 is α. The fixing structure 143 of the paradigm defining device in Figure 7 is a strap.

In an example, as shown in FIG. 8 , the system may also include a motion stimulation intensity detection device 15 , which is used to obtain the motion stimulation intensity of the site to be measured. The processor is also used to obtain the normalized benchmark, and normalize the time response characteristic parameters based on the normalized benchmark and the motion stimulation intensity to update the time response characteristic parameters; determine the site to be measured based on the updated time response characteristic parameters Results of motor neuromuscular coupling analysis. The motion stimulation intensity detection device can be optionally a force detection device.

For example, place the elbow at the angle between the first part and the second part of the paradigm defining device in Figure 7, fix the forearm on the body with a strap, and hold the dynamometer with the hand (exercise stimulus intensity detection The handle of the device performs wrist extension movements to contract the forearm flexor muscles, and the strength of the contraction is displayed and controlled by the dynamometer. The paradigm limiting device is used in conjunction with the exercise stimulation intensity detection device to ensure that the same exercise paradigm and contraction intensity can be repeated no matter when, where and in any part to be tested, thus standardizing the motor neuromuscular vascular coupling function evaluation paradigm. The accuracy of motor neuromuscular coupling analysis results can be improved through this standardized motor stimulus.

In one embodiment, a method for normalizing the temporal response characteristic parameters based on the normalized reference and the motion stimulation intensity includes: determining the ratio of the motion stimulation intensity to the normalized reference, and calculating the product of the ratio and the temporal response characteristic parameter. , and use the product as the updated time response characteristic parameter.

In one embodiment, the method for normalizing the muscle oxygen signal based on the normalized reference and the exercise stimulation intensity includes: determining the ratio of the exercise stimulation intensity to the normalized reference, and calculating the product of the ratio and the muscle oxygen signal to calculate Update muscle oxygen signal.

The normalized baseline is determined based on the baseline motion stimulus intensity. The baseline exercise stimulation intensity is the average of the patient's at least two maximum contractions. For example, the part to be measured is the biceps brachii. The patient should hold the handgrip dynamometer as hard as possible and record the first maximum grip strength value. Then, the patient should hold the handgrip dynamometer as hard as possible and record the second maximum grip strength value. Repeat this. The patient's at least two maximum grip strengths were measured, and the mean of the at least two maximum grip strengths was used as the normalization baseline.

In one embodiment, the processor is configured to obtain the muscle oxygen signal of the site to be measured under different exercise stimulation intensities through the muscle oxygen measurement module 11; determine the time response characteristic parameters of the muscle oxygen signal corresponding to different exercise stimulation intensities, and determine the time response characteristics of the muscle oxygen signals corresponding to different exercise stimulation intensities, as well as different exercise The mean value of the time response characteristic parameters of the muscle oxygen signal corresponding to the stimulation intensity; based on this mean value, the motor neuromuscular vascular coupling analysis result of the site to be measured is determined. In this embodiment, the mean value of the time response characteristic parameters of the muscle oxygen signal corresponding to different exercise stimulation intensities is used as the target time response characteristic parameter, and the motor neuromuscular vascular coupling analysis result of the site to be measured is determined based on the target time response characteristic parameter. The error in a single measurement can be reduced, thereby improving the accuracy of motor neuromuscular vascular coupling analysis results.

In one embodiment, the processor is configured to: for each motion stimulation intensity, determine the myoelectric topography maps respectively corresponding to at least two first set characteristics of the myoelectric signal to obtain at least two myoelectric topography map sequences, and the myoelectric topography map sequence. The at least two second set features of the oxygen signal respectively correspond to the muscle oxygen topography maps to obtain at least two muscle oxygen topography map sequences; pair the at least two muscle oxygen topography map sequences with the at least two electromyoelectric topography map sequences. Combination; determine a motor neuromuscular vascular coupling analysis result of the part to be tested in the spatial dimension based on each combination result; use the motor neuromuscular vascular coupling analysis results under all motion stimuli corresponding to each combination result as a group of motor neuromuscular Vascular coupling analysis results; among the motor neuromuscular vascular coupling analysis results of all groups, the mean value of the motor neuromuscular vascular coupling analysis results of the group with the highest sensitivity to exercise stimulus intensity is used as the expected motor neuromuscular vascular coupling analysis result. Wherein, the first set characteristic may be a frequency domain characteristic or a time domain characteristic of the electromyographic signal. In this embodiment, a motor neuromuscular coupling analysis result of the site to be measured in the spatial dimension is determined based on each combination result, for example: the positional difference parameter of the activation intensity between the two topographic map sequences in each combination result is determined. sequence, and determine a motor neuromuscular coupling analysis result of the site to be measured in the spatial dimension based on the position difference parameter sequence.

Wherein, the muscle oxygen topography map sequence includes at least two muscle oxygen topography maps at the detection time, and the electromyoelectric topography map sequence includes at least two electromyoelectric topography maps at the detection time. Different exercise stimulation intensities can be selected as 10% of the maximum contraction force, 30% of the maximum contraction force, 50% of the maximum contraction force, and 70% of the maximum contraction force. It can be understood that during actual use of the system, the first setting characteristics, the second setting characteristics and the intensity of the motion stimulation can be selected according to specific circumstances. The sensitivity to exercise stimulus intensity is the degree to which the motor neuromuscular vascular coupling analysis results change with changes in exercise stimulus intensity. It can be understood that the greater the degree of change, the greater the sensitivity to exercise stimulus intensity.

In the embodiment of the present application, the muscle oxygen signal of the part to be measured under exercise stimulation is obtained through the muscle oxygen measurement module, the time response characteristic parameter of the muscle oxygen signal is determined based on the obtained state time information, and the time response characteristic parameter of the muscle oxygen signal is determined based on the time response characteristic parameter. The motor neuromuscular vascular coupling analysis structure of the measured site. The technical effect of detecting motor neuromuscular vascular coupling function is achieved, and the system structure is simple and the cost is low.

Those skilled in the art will understand that the present application is not limited to the specific embodiments described here, and that various changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of the present application.

Claims

A motor neuromuscular vascular coupling function detection system, including:

The muscle oxygen measurement module (11) covers the site to be measured and is configured to obtain the muscle oxygen signal of the site to be measured under exercise stimulation, wherein the muscles of the site to be measured are associated with the target motor nerves;

The processor (12) is configured to obtain state time information; obtain the muscle oxygen signal of the site to be measured under exercise stimulation through the muscle oxygen measurement module (11); and determine the value of the muscle oxygen signal based on the state time information. A time response characteristic parameter; determining the motor neuromuscular coupling analysis result of the site to be measured based on the time response characteristic parameter.
The system according to claim 1, wherein the muscle oxygen measurement module (11) includes one or more transmitting units (111), and one or more receiving units disposed in the vicinity of each transmitting unit (111). (112);

The processor (12) is configured to obtain the triggering sequence of the one or more transmitting units (111) in response to detecting a trigger signal; based on the set timing, simultaneously control at least one transmitting unit (111) according to the triggering sequence. ) outputs detection light of a set duration and a set wavelength, and controls the receiving unit (112) in the vicinity of the triggered at least one transmitting unit (111) to receive the muscle oxygen signal within the set duration.
The system according to claim 2, wherein any emission unit (111) is triggered twice in sequence and is used to output the detection light of the first set wavelength and the detection light of the second set wavelength respectively, and the third The detection light of a set wavelength corresponds to the oxygenated hemoglobin signal, the detection light of the second set wavelength corresponds to the deoxygenated hemoglobin signal, or the detection light of the first set wavelength corresponds to the deoxygenated hemoglobin signal, and the second setting The detection light of the wavelength corresponds to the oxygenated hemoglobin signal.
The system of claim 2, further comprising:

The electromyographic measurement module (13) is configured to obtain the electromyographic signal of the part to be measured under exercise stimulation;

The processor (12) is further configured to, in response to any transmitting unit (111) being triggered, control the triggered transmitting unit (111) and the receiving unit (112) in the vicinity of the triggered transmitting unit (111). All electrodes (131) in between output stimulation current to obtain the electromyographic signal of the site to be measured; for each electrode channel, the evoked electrical signal in the electromyographic signal is extracted, and the state is determined based on the evoked electrical signal. Time information, and determining the time response characteristic parameter of the muscle oxygen signal based on the state time information; determining the motor neuromuscular vascular coupling analysis result of the site to be measured in the time dimension based on the time response characteristic parameter.
The system of claim 4, wherein the processor (12) is further configured to:

Generate a muscle oxygen topography map sequence based on the first set characteristics of the muscle oxygen signal, and generate a myoelectric topography map sequence based on the second set characteristics of the electromyographic signal;

Determine the position difference in activation intensity in the corresponding topography map in the muscle oxygen topography map sequence and the electromyoelectric topography map sequence to obtain a position difference parameter sequence;

The motor neuromuscular vascular coupling analysis result of the site to be measured in the spatial dimension is determined according to the position difference parameter sequence.
The system according to claim 1 or 4, further comprising:

The paradigm defining device (14) includes a body and a fixing structure (143) provided on the body, and is configured to fix the body part where the part to be measured is located on the body through the fixing structure (143), so as to The posture of the body part where the part to be measured is located under the motion stimulation remains unchanged.
The system according to claim 1 or 6, further comprising:

A motion stimulation intensity detection device (15), configured to obtain the motion stimulation intensity of the site to be measured;

The processor (12) is further configured to obtain a normalized reference, and normalize the time response characteristic parameter or the muscle oxygen signal based on the normalized reference and the exercise stimulation intensity to update The time response characteristic parameter or the muscle oxygen signal; based on the updated time response characteristic parameter or the updated time response characteristic parameter corresponding to the muscle oxygen signal, determine the motor neuromuscular vascular coupling analysis of the site to be measured result.
The system according to claim 1 or 7, wherein the processor (12) is configured to obtain the muscle oxygen signal of the site to be measured under different exercise stimulation intensities through the muscle oxygen measurement module (11); determine The time response characteristic parameters of the muscle oxygen signal corresponding to different exercise stimulation intensities, and the mean value of the time response characteristic parameters of the muscle oxygen signal corresponding to different exercise stimulation intensities; determining the motor neuromuscular vascular coupling analysis of the site to be measured based on the average value result.
The system of claim 7, wherein the processor (12) is configured to:

For each exercise stimulation intensity, determine the muscle oxygen topography maps corresponding to at least two first set characteristics of the muscle oxygen signal to obtain at least two muscle oxygen topography map sequences, and at least two of the electromyographic signals. secondly, set the electromyoelectric topography maps corresponding to the characteristics to obtain at least two myoelectric topography map sequences; combine the at least two myoelectric topography map sequences with the at least two myoelectric topography map sequences in pairs; Determine a motor neuromuscular coupling analysis result of the site to be measured in the spatial dimension based on each combination result;

The motor neuromuscular vascular coupling analysis results under all exercise stimuli corresponding to each combination result are regarded as a set of motor neuromuscular vascular coupling analysis results;

Among the motor neuromuscular vascular coupling analysis results of all groups, the mean value of the motor neuromuscular vascular coupling analysis results of the group with the highest sensitivity to exercise stimulus intensity is used as the expected motor neuromuscular vascular coupling analysis result.
The system according to claim 7 or 8, wherein the normalization reference is the average of at least two maximum contractions of the patient.