Local fat layer thickness analyzer based on multi-electrode organism impedance measurement

Abstract

The invention discloses a local fat layer thickness analyzer based on multi-electrode organism impedance measurement. The local fat layer thickness analyzer comprises the following four parts: a current excitation source, a voltage reading circuit, electrodes and data processing, the current excitation source is used for applying current to the human body tissue, the voltage reading circuit is used for measuring the voltage on the surface of the human body tissue, and the electrode is used for connecting the current excitation source, the voltage reading circuit and the human body tissue. Respectively reading voltage differences at different distances on the surface of the human tissue by using a voltage reading circuit; during data processing, a multi-electrode impedance measurement algorithm obtained through measurement fitting is substituted into a voltage reading circuit to measure a voltage difference, and the local fat layer thickness of a to-be-measured organism is obtained. Therefore, the problems caused by electrode contact impedance can be reduced, and the precision of local analysis can be improved.

Description

technical field [0001] The invention belongs to the technical field of wearable health equipment, and in particular relates to a local fat layer thickness analyzer based on multi-electrode biological impedance measurement. Background technique [0002] Bioimpedance, as one of the important parameters reflecting the physiological state of the human body, is an important index for detection by many physiological parameter detection equipment. In the past two decades, the overweight rate and obesity rate of Chinese residents have increased year by year, increasing the incidence of many chronic diseases such as high blood pressure, high blood fat, diabetes, etc., becoming a serious social health problem; people are more and more concerned about their own health and body shape. The more attention is paid, the more and more people are fitness. The body fat percentage of the human body is widely studied as an important indicator of the degree of health and physical condition of the...

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Problems solved by technology

[0004] Most of the methods of bioimpedance now are to measure whole body fat, or adopt two-electrode measurement method and four-electrode measurement method, such as literature [Hermann Scharfetter, Patricia Brunner, Fat and Hydration Monitoring by Abdominal Bioimpedance Analysis: Data Interpretation by Hierarchical Electrical Modeling [M ].IEEE Transactions on BiomedicalEngineering,2005,52(6):975-982] adopts finite element modeling, models the human abdomen as a three-layer model, performs fat and hydration detection on the abdominal bioimpedance analysis, and studies the abdominal The effect of each layer structure on the abdominal impedance; this technology provides the idea of ​​finite element decomposition, but it uses a two-electrode measurement method, which has low accuracy in actual measurement

[0005] The literature [Jingna Mao, A Five-Tissue-Layer Human Body Communication CircuitModel Tunable to Individual Characteristics[M].IEEE Transactions on Biomedical Circuits and Systems,2018,12(2):303-312] proposed a five-layer layered model of the human body to The path loss of the human body is measured, but it uses the global path measurement to make the loss error larger. These bio-impedance measurement methods have low accuracy. For example, the global measurement has a relatively large error, and the two-electrode measurement method has relatively large interface impedance and motion artifacts. shadow, the current measurement of the four-electrode measurement method is inaccurate

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