The invention discloses a multi-
modal data fusion old people
muscle dysfunction prediction method and
system, and relates to the technical field of
muscle dysfunction prediction, and the method comprises the steps: collecting multi-
modal muscle function data of a target user; performing functional feature collection on the multi-
modal muscle function data to obtain a multi-modal muscle function
feature vector, and performing deviation analysis; constructing a multi-channel muscle function degradation prediction model; and obtaining an expected prediction
time sequence, inputting the expected prediction
time sequence into the multi-channel muscle function degradation prediction model for combined channel prediction, and outputting a
muscle dysfunction prediction report. The technical problems that in the prior art, due to the fact that different
muscle degeneration rate scenes cannot be adapted, the prediction precision of the muscle function degeneration of the old is low, and the early warning accuracy of dysfunction is poor are solved, and the purposes of accurately predicting the muscle function degeneration of the old and improving the early warning accuracy are achieved. The technical effect of improving the accuracy of muscle function degeneration trend judgment and dysfunction early warning of the old is achieved.