The present invention relates to the field of medical
signal processing technology, and specifically, to an electromyographic
signal-based tumor
motion prediction method and
system. The
system of the present invention comprises: an
image guidance module, configured to: acquire electromyographic signals and tumor motion of a patient, extract a respiratory-related
signal from the electromyographic signals by sequentially using gating, template subtraction, envelope calculation, and offline filtering, and calculate a
correlation coefficient and a lookahead time between the respiratory-related signal and the tumor motion by using a cross-
correlation function; and a
treatment delivery module, configured to: acquire electromyographic signals of the patient, extract a respiratory-related signal from the electromyographic signals by sequentially using gating, template subtraction, envelope calculation, and online filtering, and acquire a prediction result of the tumor motion on the basis of the lookahead time calculated by the
image guidance module. The present invention further provides a method for predicting tumor motion by using the
system. The present invention can compensate for the system
delay of a radiotherapy device in tracking tumor motion, and has good application prospects.