Kong X, Feng R
Department of Electrical Engineering, Northern Illinois University, DeKalb 60115, USA.
IEEE Trans Inf Technol Biomed. 2001 Sep;5(3):195-201. doi: 10.1109/4233.945290.
Modern telecommunication infrastructure supports the possibility of delivering quality health care without the physical presence of medical experts. The integrity of biomedical signals being transmitted through communication channels must be established before their utilization. This paper investigates three digital watermarking techniques for signal integrity verification in an electroencephalogram (EEG) monitoring application for brain injury detection. The techniques studied are patchwork, least significant bit, and quantization watermarking methods. The three techniques are evaluated and compared in the following areas: sensitivity to noise contamination, robustness to EEG signal characteristic changes due to brain injury, and consistency under various communication channel models. The patchwork method performs best for noise contamination rejection among the three methods. The noise contamination detection rates of all three methods remain relatively stable across a wide range of EEG characteristics.
现代电信基础设施支持在医疗专家无需亲临现场的情况下提供高质量医疗保健的可能性。在利用通过通信渠道传输的生物医学信号之前，必须先确定其完整性。本文研究了三种数字水印技术，用于在脑损伤检测的脑电图（EEG）监测应用中进行信号完整性验证。所研究的技术是拼凑法、最低有效位法和量化水印法。对这三种技术在以下方面进行了评估和比较：对噪声污染的敏感度、对因脑损伤导致的EEG信号特征变化的鲁棒性以及在各种通信信道模型下的一致性。在这三种方法中，拼凑法在抑制噪声污染方面表现最佳。在广泛的EEG特征范围内，所有三种方法的噪声污染检测率都保持相对稳定。
