The invention relates to the technical field of digital health, in particular to a personalized
rehabilitation exercise method for
rheumatoid arthritis patients based on a BCW theory, which comprises the following steps: acquiring
joint angle change and calculating a pain
delay response coefficient, detecting fluctuation of supporting force and stabilizing force to obtain a
joint load tolerance value, analyzing respiratory coordination to generate a respiratory coordination index, and performing
rehabilitation training on the respiratory coordination index. The method comprises the steps that a
joint angle sensor and pain intensity data are analyzed, a BCW
capacity factor weight value is generated in a weighted mode, a
fuzzy control algorithm is input to conduct hierarchical mapping adjustment on action amplitude frequency and rest intervals, and exercise adaptability feedback data are generated through monitoring completion degree and pain feedback. The
exercise intensity is dynamically adjusted in real time through a
data model, a personalized
rehabilitation scheme is automatically optimized, the problems that subjective feedback is relied on, and physiological changes cannot be responded in time are solved, more accurate exercise amount adjustment is provided, the situation that the joint burden is increased due to improper
exercise intensity is avoided, and the rehabilitation process is effectively promoted.