基于物联网的老年人健康监测系统使用Firebase云计算
Adhan Efendi1, Muhammad Imam Ammarullah2,3, Indra Griha Tofik Isa4
1Graduate Institute of Precision Manufacturing National Chin-Yi University of Technology Taichung Taiwan.
Health science reports
|March 5, 2025
概括
本研究介绍了一种物联网系统,用于持续监测老年人的健康状况,在预测用户稳定性方面达到高准确性. 该系统表现出了优异的用户满意度,提高了老年人护理质量.
科学领域:
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 机器学习 机器学习
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 解决日益增长的老年人口所带来的医疗保健挑战.
- 需要创新的解决方案,以持续监测老年人的健康状况.
- 通过技术提高老年人的生活质量.
研究的目的:
- 开发和验证基于物联网 (IoT) 的老年监控系统.
- 使用云平台集成实时数据收集和分析.
- 实施监督机器学习来预测用户的健康状况 (稳定/不稳定).
主要方法:
- 跨物联网层 (物理,网络,应用) 的系统架构设计.
- 用六名参与者测量心率,氧和和体温的设备验证.
- 使用精度和F1分数对监督机器学习模型的比较分析.
- 基于可用性,舒适性,安全性和有效性的用户满意度评估.
主要成果:
- 一个基于物联网的老年人健康监测系统是以0.90%的低平均百分比错误 (MAPE) 构建的.
- 机器学习模型XGBoost实现了最佳性能,精度为 (0.973) 和F1得分为 (0.970).
- 在可用性,舒适性,安全性和有效性方面,用户满意度高达86.55%.
结论:
- 开发的系统为老年用户和护理人员提供实用的实时健康监测.
- 未来与人工智能的整合,包括机器学习和深度学习,可以进一步增强预测健康能力.
- 该系统通过持续监测和预测分析有效地改善老年人护理.
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