The application discloses a kind of cardiac transmembrane potential imaging methods based on 12 lead electrocardiogram joint
physiological model and attention mechanism, to solve the serious ill-conditioned problem caused by information
asymmetry between 12 lead
signal and TMP, reconstruct cardiac transmembrane potential from 12 lead
ECG signal.In order to obtain the dynamic physiological information of BSP and TMP, the application introduces self-attention mechanism to capture the long-term, periodic dynamic activation process characteristics of
cardiac electrophysiology, extract the similarity within the sequence, calculate the attention
score, then multiply the
score with the input sequence, extract the key segment in the sequence, i.e.the segment that is expected to be "noticed".Meanwhile, the application regards the inverse problem as the potential
feature mapping of TMP on BSP, captures the dynamic characteristics of inverse relationship by introducing cross-attention module, learns the inverse
feature mapping relationship from a large number of data pairs using neural network, and solves the ill-posed problem of inverse problem.