The application discloses a
muscle fatigue degree prediction and
massage scheme intelligent matching
system, relates to the technical field of sports health monitoring and intelligent physiotherapy, acquires a surface electromyogram
distribution matrix and an
infrared temperature field atlas of a target
muscle group region, generates a multidimensional fatigue
characteristic matrix, constructs a
muscle bundle
nodal topological network according to spatial coordinate distribution, calculates fatigue conduction probability between muscle bundle nodes through a
muscle tension conduction model, and simulates a
diffusion path of fatigue energy between adjacent muscle bundles; performs
time sequence folding mapping operation on the multidimensional fatigue
characteristic matrix according to a fatigue conduction probability set, generates a fatigue development prediction curve, calculates fatigue gradient
energy distribution of a monitoring region, and performs
nonlinear coupling with the fatigue conduction probability, generates a fatigue aggregation risk thermal map, extracts implicit quantitative indexes such as fatigue propagation gradient, muscle bundle synergistic imbalance index and
metabolic heat accumulation rate, and generates an intelligent
massage intervention scheme, so that the prediction and precise
massage intervention of the
muscle group fatigue state are realized.