The invention discloses a
stroke early warning system and method based on intelligent wearing health monitoring, and relates to the technical field of
stroke early warning. A current physiological
data set and a step length
data set are analyzed, a current state analysis result is output, current living
habit data is processed, and a current living
habit data set is output; according to the method, physiological parameters and the
living environment of a patient are monitored in real time, early warning is carried out in advance through
data analysis, the risk of
stroke is reduced, and after abnormity is detected, the early warning is carried out. The
pathogenesis report is generated by integrating the
physiology, living habits and environmental factors of the patient, a treatment basis is provided for doctors, personalized early warning analysis is carried out, and the accuracy is improved. An early warning
signal can be sent to the patient, an emergency contact person and a
medical institution, so that timely rescue in emergency is ensured, and the life safety of the patient is guaranteed.