The invention relates to the related technical field of traction physiotherapy, in particular to a warm traction dynamic optimization method and
system based on multi-
sensor fusion, and the method comprises the steps: obtaining multi-
modal physiological feature parameters, determining a first traction sensitive
feature set and a second traction sensitive
feature set, carrying out the correlation
verification through combining historical treatment records with the subjective comfort
score of a patient, and obtaining a first traction sensitive
feature set and a second traction sensitive feature set; and correcting the deviation of the traction force regulation and
control function to obtain an optimal traction
force output parameter, and driving an execution mechanism to adjust the
thermal therapy temperature and the
mechanical traction force. The technical problem that most traction regulation and control functions are set in a fixed mode and cannot meet
muscle group characteristics, tolerance thresholds and treatment process differences of different patients is solved, multi-
modal parameters such as surface myoelectricity and
infrared thermal imaging are fused, first and second traction sensitive characteristic sets under
heat stress dominance and
muscle fatigue dominance are constructed, and the traction sensitivity of the patient is improved.
Heat stress and
muscle fatigue are accurately recognized, the stability and reliability of traction force regulation and control are guaranteed, and the technical effects that the risk in the warm traction therapy process is effectively reduced are achieved.