基于物联网的便携式脉象检测系统

Portable Pulse Detection System Based on IoT

摘要: 针对现有脉象仪成本高昂、体积庞大、操作复杂、难以真正走向应用的现状，设计并实现了一种基于物联网的便携式脉象检测系统。该设计利用树莓派3B+（Raspberry Pi 3B+）、STM32系列单片机以及云服务器实现寸、关、尺处脉象信号的采集、存储、显示与特征点识别。该系统体积小、成本低，可通过网络与云端服务器连接，实现资源的充分利用。实验结果表明便携式脉象仪对脉象信号的主要特征点的识别准确率高于97%，具有广泛的开发应用前景。

Abstract: Aiming at the current situation of high cost, huge volume, complex operation and difficulty in real application of pulse analyzer, this study designs and implements a portable pulse detection system based on IoT. The design utilizes Raspberry Pi 3B+, STM32 series MCU and cloud server to collect, store, display and recognize pulse signals at CUN, GUAN and CHI. The system is small in size and low in cost, which can be connected with cloud server through network to make full use of resources. The experimental results show that the recognition accuracy of the main feature points of the pulse signal by the portable pulse analyzer is higher than 97%, which has a broad prospect of development and application.