Research On The Networked System Of Non Sensory Body Fat Measurement

With the continuous development of science and technology in recent years,the living standards of the people have been increasing day by day.However,one of the negative effects is that social obesity rates are getting higher and higher,while over-obesity causes diseases such as high blood pressure and cardiovascular diseases.Many people,especially middle-aged people,have a weak awareness of daily exercise and are prone to obesity,resulting in decreased immunity and other conditions.The body fat percentage as a measure of the degree of body fat the most intuitive parameters,for the prevention of obesity symptoms have a very important significance.Current body fat percentage detection techniques,such as underwater weighing method,dual energy ray method,but they have a high detection costs,complex operation and other issues,so to study a family for everyday use at low cost Easy to operate body fat percentage detection system for the prevention and diagnosis of obesity is of great significance.Based on this background,this paper developed a non-sensing body fat network based on four-electrode bioelectrical impedance measurement system.First of all,in this paper,the human body component analysis chip AFE4300 and low-cost low-power microprocessor STM32 released by Texas Instruments are taken as the main control modules of the whole system.The front-end acquisition circuit uses four load cells and four electrode pads for access.Block excitation electrode for the input current injected into the human body and the other two detection electrodes for the collection of voltage signals;for bioelectrical impedance and other weak signal extraction also designed the filter circuit and amplification circuit;finally joined the network module for wireless data transmission With communication.Secondly,a new four-electrode measurement method was proposed based on the traditional four-electrode method to improve the collection site(such as the soles of feet or palms)of the body fat measuring device on the market.Microcontroller to the AFE4300 to write a variety of control word code,the configuration is suitable for thick parts of the human body from the thigh(the thigh)to collect a stable and reliable bioelectrical impedance-related signals extracted by IQ demodulation to the human body as such Effective resistance of the voltage signal at both ends of the model for the follow-up algorithm used to calculate,so that people can unknowingly gain their own recent unhealthy state of health information.Finally,a large number of experiments were conducted on the differences of body composition of males and females in combination with their own height,weight and bioelectrical impedance voltage signals.Based on previous studies on body fat percentage calculation,Electric impedance signal in the voltage signal I multiplied by the value as an important parameter K value,seek K value and the body fat ratio as a function of the relationship between the collected data and gender fitting to find the function between Relationship,through data and error analysis,verify the feasibility of the algorithm and system.