面向移动智能终端的人体心率监护系统设计与实现

高质量的长期健康医疗监护逐渐成为全世界人们关注的焦点。为预防突发心脏病所带来的风险，论文结合临床最常见的健康指标心率，采用基于随机森林的心率预测模型，设计了一款面向移动智能终端的可穿戴、可交互，具有实时心率采集、异常心率检测和心率异常预警等功能的小型人体心率监护系统。实验结果表明，该心率监护系统能实现用户心率的实时监测和未来时刻心率的预测，心率预测正确率可达86.67%，预测精确度可以满足用户的需求。

Design and Implementation of Human Heart Rate Monitoring System Based on Mobile Intelligent Terminals

High-quality long-term health care monitoring has gradually become the focus of attention around the world. In order to prevent the risk of sudden heart disease, this paper combines the heart rate of the most common health indicators in clinical practice, and adopts a random forest-based heart rate prediction model to design a small human heart rate monitoring system for mobile intelligent terminals. The system features wearable, interactive, real-time heart rate acquisition, abnormal heart rate detection, and heart rate anomaly alerts. The experimental results show that the heart rate monitoring system can realize real-time monitoring of heart rate and prediction of heart rate in future time. The correct rate of heart rate prediction can reach 86.67%, and the prediction accuracy can meet the needs of users.