Abstract: A method of evaluating core muscles by bioimpedance technology, includes the steps of: (a) measuring the resistance and reactance of a subject by a bioimpedance measuring instrument, and obtaining the subject's age, gender, and impedance factor (h2/Z), and (b) calculating the subject's core muscles by the following formula: BIA=a?b×age+c×h2/Z+d×Sex. Thereby, the present invention measures the cross-sectional area of the core muscles by means of bioimpedance analysis. The core muscles can be evaluated by the cross-sectional area of the core muscles, which can effectively reduce the measurement cost, reduce the measurement time and improve the convenience of measurement.

Abstract: A data integration system of a body composition analyzer includes a high-precision body composition analyzer, a low-precision body composition analyzer, and a computing device. The computing device is used to calculate a deviation value between the high-precision body composition analyzer and the low-precision body composition analyzer, and correct the data generated by the low-precision body composition analyzer through the deviation value so as to obtain more accurate body composition data.

Abstract: A body composition analysis system having image scanning function includes an image capturing device, a body composition analyzer having a stand platform with two first electrode sets, two handrails and a calculating unit electrically connected with the image capturing device, and a control panel. Each handrail has a telescopic rod and a handle having a second electrode set. An end of each telescopic rod is pivotably attached to the stand platform. Each handle is disposed at another end of each telescopic rod. The calculating unit includes a body shape module database and a calculational logic, receives resistance and reactance measured by the first and second electrode sets and image data obtained by the image capturing device, and after comparing the image data with the body shape module database, calculates by the calculational logic to obtain a body composition data to be shown on the control panel.

Abstract: A method of bioimpedance technology to evaluate local or whole body bone mineral density includes the steps of (a) measuring the resistance and reactance of a subject by a bioimpedance measuring instrument and obtaining the height of the subject, and (b) calculating the bone mineral density of the local or whole body of the subject by the formula: BMD=a+b R/H+d Xc/H, where a, b, and d are weighting coefficients, R is the resistance of the subject; Xc is the reactance of the subject; H is the height of the subject. This can achieve the advantages of reducing measurement costs and rapid measurement.

Abstract: A method of bioimpedance vector analysis technology to evaluate local or whole body bone mineral density includes the steps of (a) measuring the resistance and reactance of a subject with a bioimpedance measuring instrument, obtaining the height of the subject, and then dividing the height of the subject by the resistance to obtain a first value and dividing the height of the subject by the reactance to obtain a second value, and (b) comparing the first value and the second value with a bioimpedance vector analysis chart to evaluate the local or whole body bone mineral density of the subject. This method is convenient to use.

Abstract: A body composition measuring apparatus using a bioelectric impedance analysis and a neural network algorithm for obtaining two or more anthropometry variables from testees and then inputting the anthropometry variables into the internal processing unit that has a built-in back propagation-artificial neural network that has one input layer, 1-10 hidden layers each having 1-15 hidden neurons and one output layer having one output neuron. By means of the aforesaid artificial neural network, the invention accurately predict the fat free mass of the testee so as to further obtain the amount of body fat, showing higher accuracy than conventional linear regression equation (LRE).