Abstract: There is provided a method for determining a pulse transmission time, an arteriosclerosis detection apparatus and a system, the method comprising: receiving a single-lead electro-cardio signal; receiving a pulse wave signal of at least one of body parts, the pulse wave signal being detected by a micro ultrasonic detector arranged at the respective body parts; and determining the pulse transmission time by taking an R wave of the single-lead electro-cardio signal as a starting point and taking a feature point of the pulse wave signal of the at least one of the body parts as an end point.

Abstract: A method for processing physiological data, a device for processing physiological data, and a non-volatile storage medium are provided. The method includes: acquiring one or more physiological data of a detected object; calculating a state judgment value corresponding to each of the one or more physiological data based at least in part on a basic assignment table; and calculating health data of the detected object based at least in part on a weight assignment table and the state judgment value.

Abstract: A method for operating an electronic device includes: determining a plurality of influence parameters associated with a target disease, the influence parameters at least include a body mass index; determining calculation parameters according to the influence parameters, and determining a risk prediction model for the target disease based on the calculation parameters; collecting medical diagnosis information of an object to be tested corresponding to the influence parameters, and inputting the medical diagnosis information to the risk prediction model to obtain a first risk prediction value; substituting a value of the body mass index in the medical diagnosis information with a weight management target value, inputting the medical diagnosis information to the risk prediction model again to obtain a second risk prediction value; and calculating a weight management benefit prediction value corresponding to the weight management target value according to the first risk prediction value and the second risk predic