使用基于物联网的远程监控系统监控心力衰竭患者
Muhammad Umer1, Turki Aljrees2, Hanen Karamti3
1Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Scientific reports
|November 6, 2023
概括
本研究介绍了使用物联网 (IoT) 和人工智能 (AI) 的心脏病患者智能健康监测系统. 该系统准确地预测心脏病,通过实时数据和人工智能驱动的洞察力增强患者护理.
科学领域:
- 生物医学工程 生物医学工程
- 计算机科学 计算机科学
- 医疗信息学 医疗信息学
背景情况:
- 越来越依赖数字技术和COVID-19大流行的影响加速了在线医疗服务的采用.
- 智能家电,智能家居和智能医疗系统等新兴概念正在改变医疗保健的提供.
- 物联网 (IoT) 和人工智能 (AI) 在推进智能健康监测系统方面发挥着关键作用.
研究的目的:
- 开发和评估心脏病患者的智能健康监测系统.
- 利用物联网实现实时患者活动监控和数据收集.
- 利用人工智能准确预测和分类心脏病.
主要方法:
- 实施物联网系统,以持续监测和报告心脏病患者的活动.
- 开发和应用一个集体模型,ET-CNN,用于心脏病预测.
- 利用人工智能方法来有效收集,存储,检索和管理数据.
主要成果:
- 物联网系统有效地监控和报告心脏病患者的活动.
- 在心脏病预测中,ET-CNN组合模型获得了0.9524的高准确度得分.
- 调查数据显示,鼓励实时报告和分类能力.
结论:
- 拟议的物联网和基于人工智能的健康监测系统显示了对实时心脏病患者管理的重大承诺.
- ET-CNN模型为早期发现和分类心脏病提供了一个高度准确的解决方案.
- 这种方法有助于改善决策,提高心脏病患者护理的准确性.
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