The invention relates to a proprioceptive-brain
muscle signal coupled ACLR post-balance
rehabilitation multi-dimensional evaluation method and
system. The method comprises the following steps: collecting and synchronously aligning electroencephalogram, surface myoelectricity and body
kinematics signals of an ACLR patient, quantifying the downlink causal action intensity from a
brain region to muscles and the uplink causal action intensity from the muscles to the
brain region based on the electroencephalogram and myoelectricity signals, and obtaining nonlinear causal characteristics representing nerve-
muscle bidirectional information flow characteristics; then taking the features as constraints, driving a nerve-biomechanical causal generation model to analyze
kinematics data, and estimating
delay of each link of sensory pathway, central
processing and motion execution; and finally, the bidirectional causal features and the multi-link
delay data are fused to generate a comprehensive evaluation index. By means of the method, the two-way interaction relation between nerves and muscles can be mined and quantified, the deep cause of
balance ability damage is revealed, control defects in dynamic tasks of the patient are captured, a basis is provided for a personalized
rehabilitation scheme, and the risk of incomplete
recovery or secondary injury of the patient is reduced.