The invention discloses an anorectal
postoperative rehabilitation intelligent supervision method and
system based on
multiple modes, and belongs to the technical field of intelligent supervision. A temperature,
humidity, air quality and other multi-mode sensor group is arranged in each anorectal
postoperative rehabilitation management inpatient area, the body temperature,
heart rate and
wound surface images of a patient are synchronously collected, and the
wound surface area and seepage color are extracted through
image processing; the method comprises the following steps: by taking a time node as a unit, adding a time
label to an environment and patient basic
data set, constructing a multi-
modal comprehensive
data set in a unified format, calculating an environment comprehensive index and a physiological comprehensive index, fusing the environment comprehensive index and the physiological comprehensive index to calculate a
postoperative rehabilitation risk value, setting a threshold interval to generate low, medium and high three-level risk labels, and the
patient risk label set is pushed to the doctor end in real time, a dynamic supervision
system is constructed, the anomaly recognition rate and the clinical response speed are improved, the complication occurrence rate is reduced, the
rehabilitation period is shortened, and reliable data support is provided for
nursing quality improvement and evidence-based
medical research.