为了实现人体生理成分的测量及定量分析,本文基于人体电阻抗信号设计了一套以AD5933芯片为基础的硬件扩展电路和以PSO-ELM预测算法为核心的采集及分析系统,能够实时采集并分析人体电阻抗信号,将不同频率下的人体电阻抗信号加以处理及分析,从而实现人体生理成分的测量。在此设计中完成了对系统的整体调试并对人体电阻抗等相关数据进行采集处理。分析结果表明,该系统运行稳定,准确率较高,符合预期的设计要求。
Abstract
In order to realize the measurement and quantitative analysis of human physiological components,a collection and analysis system is designed according to human body electrical impedance signals,which is based on the AD5933 chip-based extension circuit and PSO-ELM prediction algorithm as the core.It can not only collect and analyze human electrical impedance signals in real time,but also process and analyze them at different frequencies,so as to achieve the intended goal of this program.In this design,the overall debugging of the system is completed and the relevant figures such as the electrical impedance of the human body are collected and processed triumphantly.The analysis results show that the system operates stably,has a high accuracy rate,and meets the expected design requirements.
关键词
AD5933 /
PSO-ELM预测算法 /
人体电阻抗信号 /
STM32F103ZET6
Key words
AD5933 /
PSO-ELM prediction algorithm /
human body electrical impedance signals /
STM32F103ZET6
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参考文献
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基金
* 天津市级大学生创新创业训练计划(202110058089)。
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