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CN-121862307-B - Skeletal muscle repair method and system based on muscle satellite cell regulation and control

CN121862307BCN 121862307 BCN121862307 BCN 121862307BCN-121862307-B

Abstract

The invention discloses a skeletal muscle repair method and a skeletal muscle repair system based on muscle satellite cell regulation, which are characterized in that proliferation and differentiation association analysis is carried out on satellite cell steady-state data and aerobic exercise intensity data to establish a proliferation regulation map, a collaborative repair time window is determined according to the map, differential response deviation correction parameters are extracted to form an activity correction factor, the collaborative repair time window is subjected to repair intensity correction to generate an adaptive repair window, an exercise prescription adaptation is carried out on the adaptive repair window, a satellite cell activation regulation and control channel is identified, activation delay time is obtained through an activation efficiency map, a response grade is defined according to the activation delay time to generate layered repair configuration, activation delay evaluation is carried out on the layered repair configuration to determine a preferred activation mode, a dynamic activation characteristic is extracted based on optimal activation time window data to form an intervention execution sequence, and a skeletal muscle repair execution instruction is output by combining with an exercise prescription parameter table, so that dynamic collaborative adaptation of satellite cell repair state monitoring and training scheme parameters is realized.

Inventors

  • YU XING
  • LIU WENCHI

Assignees

  • 福建医科大学附属第一医院

Dates

Publication Date
20260512
Application Date
20260312

Claims (10)

  1. 1. A skeletal muscle repair method based on muscle satellite cell regulation, comprising: Satellite cell steady state data and aerobic exercise intensity data of a damaged skeletal muscle region are collected, proliferation and differentiation association analysis is carried out on the basis of the satellite cell steady state data and the aerobic exercise intensity data, and a proliferation regulation map is established; Determining a cooperative repair time window according to the proliferation regulation map, extracting a difference response deviation correction parameter from the satellite cell steady-state data and the aerobic exercise intensity data to form an activity correction factor, and performing repair intensity correction on the cooperative repair time window by using the activity correction factor to generate an adaptive repair window; Performing motion prescription adaptation on the self-adaptive repair window to form a motion prescription parameter table, identifying a satellite cell activation regulation and control channel according to the motion prescription parameter table, performing muscle satellite cell activation efficiency mapping on the satellite cell activation regulation and control channel to obtain activation delay time, and defining a response grade according to the activation delay time to generate a layered repair configuration; Performing activation delay evaluation on the layered repair configuration to determine a preferred activation mode, detecting optimal activation time window data of the preferred activation mode, extracting dynamic activation characteristics of the muscle satellite cells based on the optimal activation time window data, adjusting activation priority to form an intervention execution sequence, and outputting skeletal muscle repair execution instructions based on the exercise prescription parameter table and the intervention execution sequence.
  2. 2. The method of claim 1, wherein the establishing a proliferation control profile based on proliferation differentiation correlation analysis of the satellite cell steady state data and the aerobic exercise intensity data comprises: Performing multidimensional feature extraction on the satellite cell steady-state data and the aerobic exercise intensity data to obtain a cell feature parameter set; Performing damage degree grading identification based on the cell characteristic parameter set to obtain a damage grading identification; Performing proliferation differentiation potential association analysis on the injury grading identification and the cell characteristic parameter set to form a potential association parameter; And constructing a proliferation regulation map through the potential association parameters.
  3. 3. The method of claim 1, wherein said extracting differential response bias correction parameters from said satellite cell steady state data and said aerobic exercise intensity data forms an activity correction factor comprising: Performing motion type identification on the satellite cell steady-state data and the aerobic exercise intensity data to obtain a motion mode tag; extracting continuous motion response deviation and intermittent motion response deviation by using the motion mode label; performing differential integration on the continuous motion response deviation and the intermittent motion response deviation to form a differential response deviation correction parameter; And generating an activity correction factor according to the difference response deviation correction parameter.
  4. 4. The method of claim 1, wherein said mapping the satellite cell activation efficiency of the satellite cell activation regulatory pathway to obtain an activation delay time comprises: Carrying out spatial distribution analysis of damaged areas on the satellite cell activation regulation and control channel to obtain area distribution parameters; identifying satellite cell collaborative activation density distribution based on the regional distribution parameters to obtain a density grading identifier; performing paracrine signal intensity analysis on the density grading mark to form a collaborative activation correction coefficient; and executing efficiency correction mapping on the satellite cell activation regulation and control channel according to the collaborative activation correction coefficient to generate activation delay time.
  5. 5. The method of claim 1, wherein said generating a layered repair configuration in accordance with said activation delay time demarcation response level comprises: performing delay time distribution analysis on the activation delay time to obtain a delay time distribution sequence; Performing a repair phase dynamic hierarchical acquisition phase response hierarchy based on the delay time distribution sequence; Performing level mapping on the phase response level to form a response level; And generating a hierarchical repair configuration based on the response class allocation repair weight.
  6. 6. The method of claim 1, wherein said evaluating activation delay for the layered repair configuration determines a preferred activation style, comprising: performing delay time difference extraction on the layered repair configuration to obtain a delay gradient sequence; Performing accumulated fatigue correction evaluation based on the delay gradient sequence to obtain a fatigue correction coefficient; Performing abnormality detection on the fatigue correction coefficient to identify an activation co-deficiency site; And (3) carrying out reconfiguration on the delay gradient sequence through the activation insufficient coordination site to determine a preferred activation mode.
  7. 7. The method of claim 1, wherein said extracting the muscle satellite cell dynamic activation characteristics based on the optimal activation time window data adjusts activation priorities to form an intervention execution sequence, comprising: acquiring the activation frequency distribution characteristics of the optimal activation time window data; Separating the characteristics of the quick response subgroup from the characteristics of the slow response subgroup based on the characteristics of the activation frequency distribution to obtain subgroup activation rate coefficients; threshold value judgment is carried out on the subgroup activation rate coefficient to form an activation effectiveness judgment result; And adjusting the activation priority to form an intervention execution sequence according to the activation validity judging result.
  8. 8. A method according to claim 3, wherein said extracting a sustained motion response deviation from an intermittent motion response deviation using said motion pattern tag comprises: acquiring a motion intensity key node in the motion mode label; detecting cardiopulmonary metabolic response fluctuation characteristics at the exercise intensity key node to generate response tracking parameters; Performing bias association positioning by using the response tracking parameters to generate a bias candidate set; and generating continuous motion response deviation and intermittent motion response deviation according to the deviation candidate set and the response tracking parameter.
  9. 9. The method of claim 7, wherein thresholding the subpopulation activation rate coefficients forms an activation validity determination result, comprising: performing characteristic intensity quantization on the subgroup activation rate coefficient to obtain an activation intensity value; Performing dynamic threshold division of the repair phase based on the activation intensity value to determine a phase adaptation activation level; performing time sequence stability analysis on the stage adaptation activation level to form an activation stability feature; and carrying out validity confidence assessment by combining the activation stability feature and the activation intensity value to form an activation validity judgment result.
  10. 10. Skeletal muscle repair system based on muscle satellite cell regulation, characterized by comprising: the data acquisition module is used for acquiring satellite cell steady state data and aerobic exercise intensity data of a damaged skeletal muscle region, and performing proliferation differentiation association analysis based on the satellite cell steady state data and the aerobic exercise intensity data to establish a proliferation regulation map; The window correction module is used for determining a cooperative repair time window according to the proliferation regulation and control map, extracting a difference response deviation correction parameter from the satellite cell steady-state data and the aerobic exercise intensity data to form an activity correction factor, and performing repair intensity correction on the cooperative repair time window by using the activity correction factor to generate an adaptive repair window; The prescription adaptation module is used for performing motion prescription adaptation on the self-adaptive repair window to form a motion prescription parameter table, identifying a satellite cell activation regulation and control channel according to the motion prescription parameter table, performing muscle satellite cell activation efficiency mapping on the satellite cell activation regulation and control channel to obtain activation delay time, and defining a response grade according to the activation delay time to generate a layered repair configuration; The instruction generation module is used for carrying out activation delay evaluation on the layered repair configuration to determine a preferred activation mode, detecting optimal activation time window data of the preferred activation mode, extracting dynamic activation characteristics of the muscle satellite cells based on the optimal activation time window data, adjusting activation priority to form an intervention execution sequence, and outputting skeletal muscle repair execution instructions based on the exercise prescription parameter table and the intervention execution sequence.

Description

Skeletal muscle repair method and system based on muscle satellite cell regulation and control Technical Field The invention relates to the technical field of sports medical information processing, in particular to a skeletal muscle repair method and system based on muscle satellite cell regulation. Background In rehabilitation training after skeletal muscle injury, aerobic exercise intervention can promote muscle function recovery by improving the microenvironment of the injury area, but different individuals have larger differences in injury degree, repair stage and exercise tolerance. The existing rehabilitation training scheme depends on an empirical general intensity interval and a fixed training time window, lacks dynamic perception of an individual muscle repair state, and is difficult to accurately adapt exercise intervention time and intensity to the current repair rhythm, so that the individuation degree of the training scheme is insufficient. On the other hand, the acceleration effect of the continuous and intermittent movement modes on muscle repair is different, and the cell response difference generated by the two types of modes in the existing method lacks a quantitative comparison mechanism, so that the intensity boundary of the training window cannot be dynamically corrected. In the aspects of activation path evaluation and training time sequence planning, the prior proposal also lacks the capability of integrating the spatial distribution characteristics of the damaged area, activation response delay and accumulated training load into a unified decision frame, and is difficult to output an individual training instruction with executable performance. Disclosure of Invention The invention discloses a skeletal muscle repair method and a skeletal muscle repair system based on muscle satellite cell regulation, which are characterized in that a proliferation regulation map is established by collecting satellite cell steady-state data and aerobic exercise intensity data, a cooperative repair time window is determined according to the map, an adaptive repair window is generated by combining exercise mode response deviation, a satellite cell activation regulation and control channel is identified on the basis, activation delay is evaluated, response grades are defined to generate layered repair configuration, and finally an executable skeletal muscle repair instruction is output based on an exercise prescription parameter table and an intervention execution sequence, so that individuation cooperative planning of the repair window, exercise intensity and intervention time sequence is realized. The first aspect of the invention provides a skeletal muscle repair method based on muscle satellite cell regulation, comprising the following steps: Satellite cell steady state data and aerobic exercise intensity data of a damaged skeletal muscle region are collected, proliferation and differentiation association analysis is carried out on the basis of the satellite cell steady state data and the aerobic exercise intensity data, and a proliferation regulation map is established; Determining a cooperative repair time window according to the proliferation regulation map, extracting a difference response deviation correction parameter from the satellite cell steady-state data and the aerobic exercise intensity data to form an activity correction factor, and performing repair intensity correction on the cooperative repair time window by using the activity correction factor to generate an adaptive repair window; Performing motion prescription adaptation on the self-adaptive repair window to form a motion prescription parameter table, identifying a satellite cell activation regulation and control channel according to the motion prescription parameter table, performing muscle satellite cell activation efficiency mapping on the satellite cell activation regulation and control channel to obtain activation delay time, and defining a response grade according to the activation delay time to generate a layered repair configuration; Performing activation delay evaluation on the layered repair configuration to determine a preferred activation mode, detecting optimal activation time window data of the preferred activation mode, extracting dynamic activation characteristics of the muscle satellite cells based on the optimal activation time window data, adjusting activation priority to form an intervention execution sequence, and outputting skeletal muscle repair execution instructions based on the exercise prescription parameter table and the intervention execution sequence. In a second aspect, the present invention provides a skeletal muscle repair system based on muscle satellite cell regulation, comprising: the data acquisition module is used for acquiring satellite cell steady state data and aerobic exercise intensity data of a damaged skeletal muscle region, and performing proliferation differentiation association analys