基于生物信息参数的人体健康监测系统研究

Research on Human Health Monitoring System Based on Bioinformatics Parameters

随着生活方式的转变,非传染性疾病如肥胖、心血管疾病和糖尿病的发病率不断上升,这些疾病与个体的体脂率等生物信息参数密切相关。为了准确监测这些关键的生物信息参数,并将其应用于疾病预防领域,研究提出了适用于运动体脂等生物信息参数检测的人体健康监测系统。该系统以蓝牙模块与远程移动终端进行信息交互,并通过终端上的应用程序进行数据分析及指令发送操作。性能测试结果显示,系统与Omron HBF-306的体脂率检测最大的测量误差为2.46%,且所有测量误差均保持在±3%的范围内,符合设定的检测准确度要求。实验结果表明研究提出的系统,显著减少了人为操作误差,系统在实际应用中的高准确性,有望在体脂率、脉搏与血压监测方面提供一种更为便捷和精确的方法。

With the change of lifestyle,the incidence rate of non communicable diseases such as obesity,cardiovascular disease and diabetes is rising,and these diseases are closely related to the body fat rate of individuals and other biological information parameters.In order to accurately monitor these key biological information parameters and apply them to the field of disease prevention,a human health monitoring system suitable for detecting biological information parameters such as exercise body fat has been proposed.The system uses Bluetooth module to interact with a remote mobile terminal,and the data analysis and command sending operations are carried out through the application on the terminal.The performance test results show that the maximum measurement error between the system and Omron HBF-306 for body fat percentage detection is 2.46%,and all the measurement errors are kept within the range of±3%,which meets the set requirements for detection accuracy.All of the above results indicate that the proposed system,which significantly reduces human error,and the high accuracy of the system in practical applications,is expected to provide a more convenient and accurate method for body fat rate,pulse rate,&blood pressure monitoring.