一个按键控制的水标框架,用于改生理信号的定位
Saifur Rahman1, Iynkaran Natgunanathan1, Chandan Karmakar1
1School of Information Technology, Deakin University, Melbourne, Victoria, Australia.
Computers in biology and medicine
|September 17, 2025
概括
本研究引入了一种安全的数字水印框架,用于检测心电图 (ECG) 信号的改. 轻量级的系统确保了完美的检测准确度,保持了医疗保健应用的信号完整性.
科学领域:
- 生物医学工程 生物医学工程
- 网络安全 网络安全
- 数字信号处理 数字信号处理
背景情况:
- 在医疗保健中,心电图 (ECG) 等生理信号的真实性和完整性至关重要.
- 在网络中传输和存储敏感的ECG数据会带来安全风险,需要强有力的改检测.
研究的目的:
- 开发一个轻量级和安全的数字水印框架,用于检测ECG信号的改.
- 为了安全地嵌入特定患者的标识符,同时保持信号质量和诊断准确性.
主要方法:
- 一种数字水印方法,将患者标识符嵌入到心电图样本中最不显著的位.
- 使用秘密密钥来确定嵌入位置,防止未经授权的访问和提取.
- 评估对放大,高斯噪声和重新平衡改的稳定性.
主要成果:
- 该框架在所有测试条件和秘密密钥长度 (6,12,18位) 中实现了100%的检测准确性和F1分数.
- 证明了对各种改方法的高强度,没有明显的扭曲.
- 该系统精确地定位了ECG信号中被改的区域.
结论:
- 拟议的轻量化框架为ECG信号提供可靠和全面的改检测.
- 它适用于资源有限的环境,如物联网 (IoT) 医疗保健设备.
- 该方法适用于其他生理信号 (EEG,PPG),并代表了安全处理生理数据的新解决方案.
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