The present application relates to the technical field of
rehabilitation intervention method, specifically to a burn scar personalized
rehabilitation intervention method based on
edge computing, comprising the following steps: obtaining
skin temperature and
tendon compression data of traction path, matching time to identify traction asynchronous section, analyzing release
rhythm lag and marking
lag path, identifying interference section, reconstructing alternating decreasing release
rhythm,
pairing scar
recovery and
rehabilitation stage
label, and obtaining individualized traction intervention structure content.In the present application, by synchronously comparing
skin temperature and
tendon compression changes, identifying
rhythm response time difference positioning abnormal section, introducing path level rhythm
lag analysis and contralateral interference discrimination, making traction rhythm adjustment based on multi-source physiological behavior correlation, reconstructing the path rhythm with conflict through nonlinear decreasing release, reducing interference risk,
pairing the reconstructed rhythm with scar
recovery status and rehabilitation stage, making traction
control logic dynamically adapt to individual
recovery changes, and improving intervention process stability and pertinence.