The invention belongs to the field of remote
medical rehabilitation, and particularly relates to a wearable device assisted remote
rehabilitation monitoring and intervention method, which comprises the following steps of: firstly, automatically configuring a monitoring index and an acquisition frequency thereof according to a
rehabilitation part, collecting and preprocessing
monitoring data, encrypting and uploading the
monitoring data to a
cloud server; the method comprises the following steps: firstly, preprocessing data, analyzing the preprocessed data by using a
machine learning evaluation model to obtain a comprehensive
health score and a main monitoring index risk
score of a convalescent patient, thirdly, determining a
rehabilitation stage of the convalescent patient according to a rehabilitation target and the
score, generating a corresponding rehabilitation guidance strategy through a strategy generation model, and finally, carrying out rehabilitation guidance on the convalescent patient. Monitoring the training process of the convalescent patient in real time through wearable equipment, and feeding back data to an
online doctor for real-time strategy adjustment; according to the method, intelligent monitoring and intervention of remote rehabilitation are realized, and the rehabilitation efficiency and accuracy are improved.