使用QR分解进行ECG信号水印
1Department of Electrical Engineering, University of Guilan, Rasht, Iran. yna@guilan.ac.ir.
Physical and engineering sciences in medicine
|September 12, 2024
概括
本研究介绍了一种用于心电图 (ECG) 信号的新QR分解水印技术,增强数据安全性和真实性. 该方法为医疗保健应用提供了卓越的稳定性和无感知性,计算复杂性较低.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 信息安全 信息安全
背景情况:
- 电心电图 (ECG) 信号完整性对于远程医疗,医疗数据库,保险和法律环境至关重要.
- 现有的水印技术可能会损害信号质量或缺乏稳定性.
- 越来越需要安全和真实的ECG数据管理.
研究的目的:
- 引入一种用于ECG信号的新水印技术.
- 增强数据来源认证,所有权验证和完整性.
- 在医疗保健和法律环境中提高心电图数据的安全性和真实性.
主要方法:
- 将心电图信号转换为2D格式,用于QR分解.
- 在QR分解的R矩阵中嵌入水印.
- 在空间和转换领域实施水印 (离散波纹转换 - DWT).
主要成果:
- 实现更高的峰值信号与噪声比率 (PSNR) 以最小的信号变化.
- 与噪声和下方采样相比,已证明较低的比特错误率 (BER).
- 与现有方法相比,表现出较低的计算复杂性.
结论:
- 拟议的基于QR分解的水印方法平衡了稳定性和不可察觉性.
- 为ECG数据提供了更好的安全性和真实性.
- 由于较低的计算复杂性,提高了实际应用性.
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