通过增强隐私的区块链过程,通过无线通信进行高效的数据传输
Rajanikanth Aluvalu1, Senthil Kumaran V N2, Manikandan Thirumalaisamy3
1Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, India.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了可穿戴医疗设备的先进无线通信和区块链,增强数据敏感性并解决隐私问题. 提出的方法实现了高数据分类准确性,改善了患者健康监测和安全.
科学领域:
- 生物医学工程 生物医学工程
- 无线通信无线通信
- 数据科学数据科学数据科学
背景情况:
- 可穿戴设备通过传感器收集重要健康数据 (心率,心电图,SPO2,睡眠,活动),但在时间敏感性和数据准确性方面面临挑战.
- 医疗保健中现有的被动数据收集方法缺乏效率,并引发隐私问题.
- 新兴的无线通信趋势和区块链技术为医疗保健中安全高效的数据管理提供了潜在的解决方案.
研究的目的:
- 审查和提出先进的无线通信和区块链战略,以加强可穿戴医疗数据管理.
- 为了解决当前可穿戴传感器系统的时间灵敏度和数据准确性的局限性.
- 提高通过可穿戴技术收集的患者健康数据的安全性和隐私性.
主要方法:
- 审查医院可穿戴技术中最新的无线通信趋势.
- 区块链的整合,以提高数据隐私和安全性.
- 梯度增强和混合微波传输的应用,用于数据分析和位置跟踪.
- 统计建模和探索性数据分析用于数据分类.
主要成果:
- 建议的梯度增强和混合微波传输方法应用于患者的健康决策.
- 在删除不需要的数据后,数据分类准确度达到了98%.
- 该系统证明了用于决策的有效数据分析,并改善了数据分类结果.
结论:
- 先进的无线通信和区块链集成显著提高可穿戴健康数据的敏感性和安全性.
- 提出的方法为准确的患者健康监测和数据管理提供了坚实的框架.
- 高度的数据分类准确性支持医疗保健环境中改进的决策流程.
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