WO2024031872A1 - Système de détection de fonction de couplage vasculaire neuromusculaire de moteur - Google Patents

Système de détection de fonction de couplage vasculaire neuromusculaire de moteur Download PDF

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WO2024031872A1
WO2024031872A1 PCT/CN2022/134255 CN2022134255W WO2024031872A1 WO 2024031872 A1 WO2024031872 A1 WO 2024031872A1 CN 2022134255 W CN2022134255 W CN 2022134255W WO 2024031872 A1 WO2024031872 A1 WO 2024031872A1
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muscle oxygen
signal
measured
site
muscle
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PCT/CN2022/134255
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Chinese (zh)
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崔晗
李光林
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中国科学院深圳先进技术研究院
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4519—Muscles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
    • A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation

Definitions

  • Embodiments of the present application relate to the field of medical equipment, for example, to a motor neuromuscular vascular coupling function detection system.
  • 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.
  • fMRI Functional magnetic resonance imaging
  • 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.
  • 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.
  • Embodiments of the present application provide a motor neuromuscular vascular coupling function detection system.
  • 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.
  • Figure 1 is a structural block diagram of a motor neuromuscular vascular coupling function detection system provided by an embodiment of the present application
  • FIG. 2 is a schematic structural diagram of a muscle oxygen measurement module provided by an embodiment of the present application.
  • FIG. 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.
  • 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.
  • FIG. 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.
  • 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.
  • the target motor nerves are peripheral motor nerves.
  • the motor neuromuscular coupling analysis results are coupling results in the time dimension, including coupling parameters distributed with state time.
  • 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.
  • the identification sequence of the transmitting units is used as the triggering sequence.
  • 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.
  • 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.
  • 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.
  • the emission unit may be a light emitter including one or more light sources, but is not limited thereto.
  • the receiving unit may be a photodetector, such as a photodetector (photodiode, PD), avalanche photodiode (APD), photomultiplier tube (photomultiplier tube, PMT), etc.
  • a photodetector photodiode, PD
  • APD avalanche photodiode
  • PMT photomultiplier tube
  • 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.
  • 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.
  • 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.
  • 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.
  • 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:
  • I' and I represent the intensity of the outgoing light and the incident light respectively.
  • the angle subscripts ⁇ 1 and ⁇ 2 respectively represent two different wavelengths of light
  • ⁇ HHb represent the light absorption coefficient of oxygenated hemoglobin and the light absorption coefficient of deoxygenated hemoglobin respectively
  • 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
  • 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 .
  • the transmitting unit 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.
  • 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.
  • the system also includes an electromyography measurement module 13, and the state time information is obtained based on the electromyography measurement module 13.
  • 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.
  • 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.
  • 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.
  • 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.
  • the position difference parameter can be selected as correlation coefficient, activation area comparison or activation position comparison.
  • 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.
  • 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.
  • 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
  • the time change is used to realize Time visualization.
  • 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 can normalize the second set feature to a value between 0 and 1 to obtain an electromyographic topography map.
  • 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.
  • time visualization of the second set feature can be achieved by utilizing time changes.
  • the second set feature may be a frequency domain feature or a time domain feature of the electromyographic signal.
  • 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.
  • 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.
  • 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.
  • the shape of the body varies with the parts to be measured.
  • 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 ⁇ .
  • the fixing structure 143 of the paradigm defining device in Figure 7 is a strap.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the first set characteristic may be a frequency domain characteristic or a time domain characteristic of the electromyographic signal.
  • 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.
  • the muscle oxygen topography map sequence includes at least two muscle oxygen topography maps at the detection time
  • 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.
  • 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.

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Abstract

L'invention concerne un système de détection de fonction de couplage vasculaire neuromusculaire de moteur, qui comprend : un module de mesure d'oxygène musculaire (11), recouvrant une partie à détecter et conçu pour acquérir un signal d'oxygène musculaire de ladite partie sous stimulation de moteur, le muscle de ladite partie étant associé à un nerf moteur cible ; et un processeur (12), conçu pour acquérir des informations de temps d'état. Le module de mesure d'oxygène musculaire (11) acquiert le signal d'oxygène musculaire de ladite partie sous stimulation de moteur, un paramètre caractéristique de réponse temporelle du signal d'oxygène musculaire est déterminé sur la base des informations de temps d'état et un résultat d'analyse de couplage vasculaire neuromusculaire de moteur de ladite partie est déterminé sur la base du paramètre caractéristique de réponse temporelle.
PCT/CN2022/134255 2022-08-10 2022-11-25 Système de détection de fonction de couplage vasculaire neuromusculaire de moteur WO2024031872A1 (fr)

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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114504315A (zh) * 2022-01-26 2022-05-17 中国科学院深圳先进技术研究院 肌氧检测方法、肌氧恢复方法及系统
CN115177214A (zh) * 2022-08-10 2022-10-14 中国科学院深圳先进技术研究院 运动神经肌肉血管耦合功能检测系统

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130150687A1 (en) * 2010-05-31 2013-06-13 Toshinori Kato Apparatus and program for evaluating biological function
CN108289646A (zh) * 2016-06-07 2018-07-17 加动健康科技（芜湖）有限公司 用于测量个体能耗的测量装置、测量方法和电子设备
CN109077725A (zh) * 2018-08-09 2018-12-25 江汉大学 一种肌肉疲劳度检测装置
CN109833040A (zh) * 2019-01-31 2019-06-04 中国医学科学院生物医学工程研究所 基于光电联合检测的人体运动能力评估装置及其评估方法
CN113229831A (zh) * 2021-05-10 2021-08-10 燕山大学 基于肌电和肌氧信号的运动功能监测管理方法
CN114259243A (zh) * 2021-12-31 2022-04-01 燕山大学 一种多模态人体参数同步采集系统及方法
CN114504315A (zh) * 2022-01-26 2022-05-17 中国科学院深圳先进技术研究院 肌氧检测方法、肌氧恢复方法及系统
CN115177214A (zh) * 2022-08-10 2022-10-14 中国科学院深圳先进技术研究院 运动神经肌肉血管耦合功能检测系统

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130150687A1 (en) * 2010-05-31 2013-06-13 Toshinori Kato Apparatus and program for evaluating biological function
CN108289646A (zh) * 2016-06-07 2018-07-17 加动健康科技（芜湖）有限公司 用于测量个体能耗的测量装置、测量方法和电子设备
CN109077725A (zh) * 2018-08-09 2018-12-25 江汉大学 一种肌肉疲劳度检测装置
CN109833040A (zh) * 2019-01-31 2019-06-04 中国医学科学院生物医学工程研究所 基于光电联合检测的人体运动能力评估装置及其评估方法
CN113229831A (zh) * 2021-05-10 2021-08-10 燕山大学 基于肌电和肌氧信号的运动功能监测管理方法
CN114259243A (zh) * 2021-12-31 2022-04-01 燕山大学 一种多模态人体参数同步采集系统及方法
CN114504315A (zh) * 2022-01-26 2022-05-17 中国科学院深圳先进技术研究院 肌氧检测方法、肌氧恢复方法及系统
CN115177214A (zh) * 2022-08-10 2022-10-14 中国科学院深圳先进技术研究院 运动神经肌肉血管耦合功能检测系统

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