The application discloses a
dialysis patient hypotension intelligent
monitoring system and method based on a multi-
modal signal, relates to the technical field of medical
physiological monitoring, and comprises a multi-
modal data acquisition module, a data preprocessing module, a multi-
modal feature fusion module and a hypotension identification and early warning module. The
system synchronously acquires physiological signals and
dialysis equipment operation parameters of a patient, determines the operation parameters as excitation
modal data and the physiological signals as response
modal data, extracts excitation-response
coupling features representing excitation driving response, and fuses the features with single-modal features to obtain cross-modal fusion features, according to which, a hypotension risk grade is identified and graded early warning is performed. The application utilizes the
time sequence coupling structure of
ultrafiltration excitation and physiological response as features, identifies circulation compensation reserve failure in advance from the dynamic
system identification level, solves the problem that the prior art symmetrically processes each modal and the monitoring lags behind
blood pressure drop, and improves the safety of
hemodialysis treatment.