In order to warningearly about foot diseases conveniently, correcting bad gait and studying gait features, an early warning system design bases on plantar pressure to detect human diseases is proposing. The early-warning system designed in this paper consists of two systems and eight modules. The systems are divided into hardware system and software system . The hardware system modules include foot pressure sensing module, data acquisition module, signal transmission module, central control module, low power management module and wireless communication module. The software system module includes LabVIEW image display module and diseases warning module. The whole system uses plantar pressure detection algorithm and it bases on PDVF piezoelectric thin film flexible sensor acquisition of plantar pressure data conversion analysis, comparing with the diseases pressure waveform to achieve the effect of real-time warning. The simulation results show that the early-warning system has a high accuracy and sensitivity, at the same time,early-warning of disease can be achievedand facilitate of human health monitoring.%针对方便预警足部疾病,纠正不良步态,研究步态特征等问题,提出基于足底压力检测人体疾病的预警系统设计.本文设计的预警系统由两大系统、八个模块组成.系统分为硬件系统设计、软件系统设计;硬件系统包括足底压力感知模块、数据采集模块、信号传输模块、中央控制模块、低功耗管理模块、无线通信模块;软件系统包括LabVIEW图像显示模块及疾病库预警模块.整个系统采用足底压力检测原理算法,基于PDVF压电薄膜柔性传感器采集到的足底压力数据转化分析,对比疾病库压力波形,以达到实时预警的效果.由仿真结果可知,本系统可实现相应人体疾病的预警,具有较高精准度和灵敏性,可实现疾病预警,为人体健康监测提供便利.
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