CN-122006214-A - Specific muscle training intelligent motion control system oriented to astronaut dynamic balance

CN122006214ACN 122006214 ACN122006214 ACN 122006214ACN-122006214-A

Abstract

The invention relates to the field of intelligent motion control systems, in particular to a specific muscle training intelligent motion control system for astronaut dynamic balance, which comprises a data acquisition and input sensing module, an analysis and evaluation module, a result display module and an effect evaluation module, and solves the problems of muscle atrophy, dynamic balance decline and labor and equipment dependence of the existing training under the microgravity of the astronaut through a multi-mode data acquisition fusion, pre-training encoder feature mapping and muscle and balance dual evaluation mechanism, thereby realizing intelligent and accurate training.

Inventors

Li Jiandie
LI DERUN
Sheng Jirou
LEI YONGZHEN
HONG HONG
TANG LEI

Assignees

南方医科大学

Dates

Publication Date: 20260512
Application Date: 20251127

Claims (10)

1. Specific muscle training intelligent motion control system facing astronaut dynamic balance, which is characterized by comprising: The data acquisition and input sensing module acquires multi-mode acquisition data including the kinematics and dynamics parameters, the gesture and motion state parameters, the dynamic balance parameters, the muscle activity electric signals, the muscle morphological structure data and the individual basic physiological information of the astronaut; The analysis and evaluation module is used for processing and extracting the multi-mode acquired data to generate a multi-dimensional parameter set containing kinematic and dynamic characteristics, physiological electric signal characteristics, morphological characteristics and personal basic information characteristics; the result display module is used for converting the astronaut dynamic balance evaluation data processed by the analysis and evaluation module into visual contents and diagnostic reports, so that the accurate correspondence of the data and the evaluation results is realized; And the effect evaluation module is used for re-evaluating the training result and re-evaluating the training result based on the dynamic balance condition of the lower limbs of the astronaut to generate new exercise prescription elements.
2. The intelligent motion control system for specific muscle training for dynamic balancing of astronauts according to claim 1, wherein the analysis and evaluation module comprises: And the data quality evaluation unit is responsible for carrying out quality detection and screening on the multi-mode acquired data, identifying abnormal values, noise and invalid data and ensuring the reliability and effectiveness of the input data.
3. The intelligent motion control system for specific muscle training for dynamic balancing of astronauts according to claim 2, wherein the analysis and evaluation module comprises: The signal preprocessing unit is used for carrying out feature extraction and mapping on the data passing through quality evaluation, adopting an encoder-decoder model to convert an original signal into a standardized feature vector, generating a multidimensional parameter set containing kinematic and dynamic features, physiological electric signal features, morphological features and personal basic information features, realizing data dimension reduction and key information enhancement, and providing structural input for evaluation and diagnosis.
4. The intelligent motion control system for specific muscle training for dynamic balancing of a spacecraft of claim 3, wherein the analysis and evaluation module comprises: The muscle and balance evaluation diagnosis unit is used for constructing a dual evaluation mechanism of the muscle activation and dynamic balance capability of the lower limb based on the preprocessed multidimensional parameter set, generating a diagnosis result of the muscle function state analysis and balance control capability, and providing data support and logic basis for the prediction of the exercise prescription element.
5. The specific muscle training intelligent motion control system for astronaut dynamic balancing according to claim 1, wherein the data quality evaluation unit comprises: The quality evaluation first subunit is used for marking invalid when frame loss or angle jump occurs to kinematic data, and rejecting when zero offset and force value mutation value occur to force table original data; The quality evaluation second subunit is used for checking whether the contact impedance of the electrode exceeds the limit, is saturated or is noisy according to the surface myoelectricity original data, and marking the channel section as invalid if the electrode fails; And a third subunit for quality evaluation, aiming at dynamic ultrasonic images and static ultrasonic images, detecting whether a blurred image or a position disagreement condition of a captured muscle picture exists, and if not, continuously losing more than or equal to 3 frames and needing to be complemented.
6. The muscle-training-specific intelligent motion control system for dynamic balancing of a spacecraft of claim 5, wherein the muscle and balance assessment diagnostic unit comprises: Muscle activation assessment, which is to analyze the activation degree of specific muscle groups through surface electromyographic signals, and to compare the activation degree with the threshold of big data models of people with the same age, sex and BMI, and identify the muscle activation type.
7. The muscle-training-specific intelligent motion control system for dynamic balancing of a spacecraft of claim 6, wherein the muscle and balance assessment diagnostic unit comprises: Dynamic balance evaluation, calculating dynamic parameters of a centroid and a pressure center based on pressure test platform data, comparing the dynamic parameters with a standard model, and quantifying balance capability defects.
8. The muscle-training-specific intelligent motion control system for dynamic balancing of a spacecraft of claim 7, wherein the muscle and balance assessment diagnostic unit comprises: And (3) morphological difference assessment, namely measuring morphological parameters of the muscle through an ultrasonic image, and comparing the morphological parameters with reference values of healthy people to identify morphological abnormality of the muscle.
9. The muscle-training-specific intelligent motion control system for dynamic balancing of a spacecraft of claim 8, wherein the muscle and balance assessment diagnostic unit comprises: And (3) coupling evaluation of dynamic balance and muscle activation, namely constructing a coupling evaluation model by adopting a Delphi method, and quantifying the cooperative relationship between the muscle activation and balance control.
10. The intelligent motion control system for specific muscle training for astronaut dynamic balance according to claim 9, wherein the defect classification is performed according to the results of the muscle activation evaluation, the morphological difference evaluation and the coupling evaluation of dynamic balance and muscle activation, and the motion prescription including the motion category, the motion load and the motion speed is generated for the light, the medium and the heavy.

Description

Specific muscle training intelligent motion control system oriented to astronaut dynamic balance Technical Field The invention relates to the field of intelligent motion control systems, in particular to a specific muscle training intelligent motion control system oriented to dynamic balance of astronauts. Background In manned aerospace tasks, prolonged exposure of astronauts to microgravity causes a series of physiological adaptation changes, wherein muscle atrophy and reduced dynamic balance are key issues in threat of flight safety and return re-adaptation. The research of space medicine proves that human antigravity muscles (mainly comprising soleus muscles and gastrocnemius muscles in triceps of lower legs, quadriceps femoris, gluteus maximus and the like) in microgravity environment are stimulated by lacking of conventional loads on the ground, so that the cross-sectional area of muscle fibers is reduced at a rate of 1% -1.5% every week, the calcium ion regulation capacity of sarcoplasmic reticulum is reduced, and the heavy chain type of myoglobin is converted from slow muscle fibers (type I) to fast muscle fibers (type II), so that the dual decline of muscle strength and endurance is directly caused. The degradation mechanism of dynamic balance is more complex, involving a synergistic barrier to the sensory-motor system. In microgravity environment, the vestibular system afferent signals are weakened, and proprioception (especially ankle joint and knee joint proprioceptors) sensitivity is reduced, so that spatial perception of the central nervous system on body posture is deviated. At the same time, the reduced joint stiffness caused by muscular atrophy of the lower limbs further weakens the quick response ability of posture adjustment. The technical scheme for maintaining the dynamic balance and muscle functions of astronauts in the current aerospace field has obvious defects in the aspects of evaluating precision, monitoring instantaneity and training individuation, and is difficult to meet the long-term resident task requirement, and the technical scheme is characterized in that: (1) The dynamic balance evaluation method lacks of ecological effectiveness The existing evaluation mainly depends on standardized laboratory equipment, and gravity center shaking parameters are obtained through a static balance table, a limit stability test and other paradigms. The method has two defects, namely that an evaluation scene is disjointed from the actual working environment of an astronaut, the balance challenges in dynamic tasks such as in-cabin floating, tool operation and the like cannot be simulated, and the method has a single index, can only reflect the static attitude control capability and omits predictive balance adjustment in the motion process. (2) Training prescription generation relies on manual experience, lacking closed loop optimization The existing training scheme formulation is mainly based on manual adjustment of ground experts according to periodical evaluation data (such as ultrasonic muscle imaging and grip strength test once a month), and has obvious hysteresis and subjectivity. Because of the lack of real-time physiological state feedback, the training intensity often adopts a "one-tool" mode (such as isometric contraction training with fixed resistance values). In addition, manual prescriptions cannot dynamically respond to changes in on-orbit task load (such as muscle fatigue after a cabin-leaving activity), and also cannot accurately regulate and control differences in individual muscle fiber types and neuromuscular activation modes. (3) Evaluation-monitoring-training system presence data island In the prior art, the balance evaluation equipment, the myoelectricity monitoring module and the training execution device are mutually independent, and the data are manually summarized and analyzed through the ground station, so that the period from data acquisition to training adjustment is as long as 48-72 hours. The separated architecture not only increases the workload of ground support team, but also is more critical to lose the window period of real-time intervention-when the electromyographic signals show excessive fatigue of muscles or abnormal balance parameters, the training scheme cannot be adjusted immediately, and secondary injury risk can be caused. In summary, based on the special microgravity environment of spaceflight, radiation protection requirements and operation convenience requirements, a special compact intelligent motion control system is determined to be required to be developed. Under the background, an intelligent system integrating multi-mode physiological signal monitoring, dynamic balance real-time evaluation, adaptive training prescription generation and specific muscle training intelligent motion control system is developed, becomes a necessary choice for solving muscle atrophy and balance disorder of astronauts, and has irreplaceable technical value for guar