The invention relates to the technical field of
pressure sore nursing, discloses an intelligent
nursing system for
pressure sore nursing of a patient suffering from
cerebral infarction and a back raising optimization method, and is particularly used for solving the problem that the risk of
pressure sore deterioration is caused due to the fact that the patient suffering from
cerebral infarction cannot sense
local pressure and abnormal shearing force in the back raising process in time due to feeling and
dyskinesia. The
system comprises a
data acquisition module, a
feature extraction module, a
feature fusion module, a
feature dimension reduction module, a pressure sore risk prediction module, a
feedback control module and a back-up execution module, and the method is based on a target function, and dynamically adjusts back-up execution parameters in combination with acquired data and pressure sore risk scores and grades obtained through analysis. According to the method, multi-
modal data are collected in real time, the
body posture, motion trail, local stress, shearing force and pressure of the patient in the back raising process are comprehensively considered, closed-
loop control is optimized through an objective function, the back raising speed, angle and supporting force are dynamically adjusted, and pressure sore aggravation or secondary injury of the patient after
cerebral infarction in the back raising process is prevented.