04/02/2025, 11:20 AM UTC
使用R分析物联网连接的健康监测系统Using R To Analyse An IoT Connected Health Monitoring System
➀ 本文探讨了利用统计编程语言R实现基于物联网的健康监测系统的应用。该系统旨在处理并分析来自各种物联网设备的实时健康数据，重点在于预测心脏病发作的风险。
➁ 提出的系统集成了可穿戴传感器、移动应用程序和基于云的基础设施，以连接个人与医疗服务提供者。R的分析能力，包括统计函数、可视化工具以及机器学习模型（如GLM、随机森林和决策树）被用于生成洞察力和预测模型。
➂ 系统强调数据安全和隐私，包含加密和认证机制。它还包括一个用户友好的移动应用程序，用于实时健康监控和个人化反馈。
➀ This article explores the implementation of an IoT-based health monitoring system using the statistical programming language R. The system aims to process and analyze real-time health data from various IoT devices, with a focus on predicting heart attack risks.
➁ The proposed system integrates wearable sensors, mobile applications, and cloud-based infrastructure to connect individuals with healthcare providers. R's analytical capabilities, including statistical functions, visualization tools, and machine learning models like GLMs, random forests, and decision trees, are utilized to generate insights and predictive models.
➂ The system emphasizes data security and privacy, incorporating encryption and authentication mechanisms. It also includes a user-friendly mobile app for real-time health monitoring and personalized feedback.
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