The application belongs to the technical field of
medical equipment and
biosensor, and specifically discloses an ICU bedside
dialysis vital sign intelligent linkage
system suitable for
nasal cavity ventilation support. The
system comprises a multi-
source data fusion acquisition module, a ventilation-
dialysis coupling state evaluation module, a multi-
modal physiological
situation awareness module, a risk evolution prediction module and a hierarchical early warning and intervention suggestion generation module. The interactive state of ventilation and
dialysis is quantitatively evaluated, and dynamic physiological
feature fusion and
time sequence risk prediction are carried out based on the interactive state, so that hierarchical early warning and targeted intervention suggestions are finally generated, and early and accurate early warning and
clinical decision support for dialysis-related hypotension and
hypoxemia are realized.