Due to smart healthcare systems highly connected information and communications technologies, sensitive medical information and records are easily transmitted over the networks. However, stealing of healthcare data is increasing crime every day to greatly impact on financial loss. In order to this, researchers are developing various cost-effective bio-signal based data hiding techniques for smart healthcare applications. In this paper, we first introduce various aspects of data hiding along with major properties, generic embedding and extraction process, and recent applications. This survey provides a comprehensive survey on data hiding techniques, and their new trends for solving new challenges in real-world applications. Then, we survey the various notable bio-signal based data hiding techniques. The summary of some notable techniques in terms of their objective, type of data hiding, methodology and database used, performance metrics, important features, and limitations are also presented in tabular form. At the end, we discuss the major issues and research directions to explore the promising areas for future research.

中文翻译：

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通过水印实现生物信号数据共享安全：一项技术调查

由于智能医疗系统高度连接的信息和通信技术，敏感的医疗信息和记录很容易通过网络传输。但是，窃取医疗保健数据每天都在增加犯罪，从而极大地影响了经济损失。为此，研究人员正在为智能医疗保健应用开发各种经济高效的基于生物信号的数据隐藏技术。在本文中，我们首先介绍了数据隐藏的各个方面以及主要属性、通用嵌入和提取过程以及最近的应用。本次调查对数据隐藏技术及其解决实际应用中新挑战的新趋势进行了全面调查。然后，我们调查了各种著名的基于生物信号的数据隐藏技术。一些值得注意的技术在其目标、数据隐藏类型、方法和使用的数据库、性能指标、重要功能和限制方面的摘要也以表格形式呈现。最后，我们讨论了主要问题和研究方向，以探索未来研究的有前景的领域。