4 results about "Level activity" patented technology

The invention provides a method and system capable of adjusting an exercise prescription in real time for a metabolic disease group, and the method comprises the following steps: obtaining the body data of a user, and determining the exercise risk level of the user through a metabolic disease risk assessment model according to the body data of the user; acquiring activity data of the user, and performing quantitative analysis according to the activity data of the user to obtain a physical activity level score of the user; obtaining function data of the user, and determining the motor function level of the user according to the function data of the user; matching an exercise prescription for the user according to the exercise risk level, the physical activity level score and the exercise function level of the user; monitoring data of the user in the exercise process according to the exercise prescription are obtained, and the exercise prescription of the user is adjusted according to the adjustment rule base. The corresponding exercise prescription is formulated according to the actual situation of the user, so that the formulated exercise prescription is more suitable for the user, the adjustment mechanism of the exercise prescription is perfected, and the actual body change of the user in the exercise process is accurately adapted.

Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and / or how the patient might recover from the given surgical intervention.

A method for monitoring hydration of a living body of a user includes: obtaining an individual physiological data of the user; obtaining a sensor data associated with the living body of the user; determining, based on the sensor data, an estimated net amount of water intake of the living body and an estimated physical activity level of the living body; calculating daily water requirements for the living body based on the individual physiological data and the estimated physical activity level; comparing the calculated daily water requirements for the living body with the estimated net amount of the water intake of the living body; and providing at least one individual recommendation based on a result of the comparing, the at least one individual recommendation being associated with a recommended amount of water for the user to take.

The invention provides a method for acquiring a maximum heart rate, which is applied to first electronic equipment and comprises the following steps: judging that a motion record exists in the first electronic equipment, the motion record comprises data recorded in a process of performing at least one type of motion, judging that various types of data are updated at least once in a first duration, and if the data are updated at least once in the first duration, determining that the data are updated at least once in the first duration. The multiple types of data comprise the physical activity level, the maximum oxygen uptake and the resting heart rate, the physical activity level represents the strength of physical strength consumed within the second duration, and the first maximum heart rate is obtained based on the multiple types of data and a preset model. The maximum heart rate obtained based on various types of data has higher accuracy.