The invention relates to the technical field of
rehabilitation assessment, in particular to an intelligent assessment method and
system for
postoperative rehabilitation of traumatic orthopedics, and the method comprises the following steps: calling an
Internet of Things and a myoelectricity sensor to collect key motion parameters, analyzing abnormal fluctuation and response offset, recognizing
muscle group collaborative
abnormality, quantifying trajectory deviation and standardizing scores, and carrying out intelligent assessment on
postoperative rehabilitation of traumatic orthopedics. And combining training and compliance
sequence comparison fluctuation, adjusting a
rehabilitation plan, and outputting a behavior management
record. According to the invention, by fusing the joint posture and the myoelectricity activation data, constructing a symmetric matching mechanism between action execution and
muscle group response, and combining action
mutation detection and offset
trend analysis, accurate recognition and quantitative judgment of an abnormal action structure are realized, the recognizability of abnormal behaviors in the
rehabilitation process is improved, and the rehabilitation effect is improved. The
response sensitivity of the evaluation index to the training compliance fluctuation is enhanced, and the
adaptation ability of the rehabilitation plan in the scenes of asymmetric actions and discontinuous behaviors is optimized, so that the
evaluation result fits the real rehabilitation state of the patient.