患者机密数据隐藏和传输系统使用电图信号频域中的振幅量化
Shuo-Tsung Chen1,2, Ren-Jie Ye3, Tsung-Hsien Wu4
1Department of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
这项研究引入了一种新的方法,用于在心电图 (ECG) 信号中隐藏安全的患者数据,使用转换域振幅量化. 该方法确保了高质量的隐藏数据和信号完整性,这对于医学诊断至关重要.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 数据安全 数据安全
背景情况:
- 在医疗保健中,隐藏和保护机密数据至关重要.
- 现有的方法可能会损害信号质量或数据完整性.
- 像ECG这样的敏感患者信息的安全传输需要强大的解决方案.
研究的目的:
- 在转换域中开发一个振幅量化系统,用于隐藏ECG信号中的患者信息.
- 通过使用带有隐藏状态开关的非线性模型来提高隐藏的ECG信号的质量.
- 为了优化系统的高信号噪声比 (SNR) 和最小的错误指标.
主要方法:
- 在变换域中实现幅度量化系统.
- 使用非线性模型与隐藏状态开关用于信号增强.
- 应用粒子群集优化 (PSO) 来解决非线性模型并优化性能.
主要成果:
- 实现了高信号噪声比 (SNR) 超过30dB.
- 在心电图信号形状中显示出最小的扭曲,幅度相似度接近1.
- 对于间隔数据,获得了接近零的根平均平方误差 (RMSE),确保了诊断的准确性.
结论:
- 拟议的转换域振幅量化方法有效地隐藏了ECG中的患者信息.
- 该系统保持了高信号质量和心电图的诊断相关性.
- 通过PSO优化,在SNR,RMSE和信号保真方面确保了出色的性能.
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