About body fat measurement: * the human body and the readings of the hydration can affect body fat, in the morning a few hours to read the highest value, because the water content in the human body after a night of sleep for a long time because of the water will be lost, to make reading the value of accurate, please try to measure the rate of fat in the evening; At different times of the same day, the reading value may vary, but the percentage of body fat percentage is accurate as long as it is measured at the same time and under the same conditions every day. * it is recommended to take measurements of body fat twice a month. About products: * use body fat and BMI to identify obesity. 1.. This product has the above BI method to judge the body fat rate, and the function of the comprehensive judgment according to the BMI value. 2.5 types of judgment: [wasting], [standard], [hidden obesity], [muscular obesity], [obesity] at a glance. (1) the BI method: Bioelectical Impedance} {organism resistance Impedance body (2) BMI: Body Mass Index {frame Index: weight (KG)/height (m) 2 * display basic metabolism 1. Show the basic metabolism of the calorific value of life 2. Basal metabolism changes with age, sex, body type, and the amount of heat consumed by exercise can understand the total amount of calories consumed. 3. Pay attention to the balance between caloric intake and total consumption of calories in actual weight loss * correct measurement This product use human body resistance impedance and the corresponding human body parameters (height, weight, age, gender) to push the amount of body fat rate, the measurement results and was known as the human body fat measurement benchmark “water weight method” is very close. The measurement method is simple and fast. After setting the data, press the data key and hold the handle of the electrode with both hands, the body fat rate can be detected easily. The measured results were measured in about 7 seconds. * you can measure the parameters of 9 people. You can record 9 sets of data (height, weight, age, gender)