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Integer-to-integer Wavelet Transform Based ECG Steganography for Securing Patient Confidential Information

机译:基于整数的小波变换的基于ECG隐写术,用于保护患者机密信息

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Today Point-Of-Care system is being intensively used for moderating the medical influx in medical centres, with the patient's information liaised over internet to remote servers, hosted inside the hospital. Risk of Information Security of the data transmitted over internet is the biggest concern. To overcome the challenges of security, ECG-Steganography technique using Integer-to-integer wavelet transform is proposed. Spatial domain steganography is executed wherein lifting scheme based Integer-to-integer wavelet transform is employed to conceal the patient information in LSB location. Further, the data is scrambled inside the ECG signal through scrambling matrix and shared key. The patient's ECG signals are collected from Powerlab-Labchart system and PhysioNet database. The patient's information and physiological parameters are hidden inside the ECG signal and therein watermarked ECG signal is produced. The PRD of original and Watermarked ECG signal is measured and a maximum value of 0.4% is obtained. Based on the result, it is observed that the hidden data is extracted perfectly.
机译:今天点保健系统被大量用于缓和医疗中心医疗涌入,与联络通过互联网向远程服务器病人的信息,在医院内举行。通过互联网传输的数据的信息安全风险是最大的担忧。为了克服安全,心电图信息隐藏技术的利用整数到整数小波变换提出了挑战。空间域隐写被执行,其特征在于提升方案基于整数到整数小波变换被用来隐藏在LSB位置的患者信息。此外,数据是通过加扰矩阵和共享密钥加扰的ECG信号的内部。病人的心电图信号从PowerLab系统,Labchart系统和PhysioNet数据库中收集。患者的信息和生理参数被隐藏ECG信号内,并在其中加有水印的ECG信号产生。原始水印的和ECG信号的PRD被测量并且获得的0.4%的最大值。基于该结果,可以观察到隐藏数据被完全萃取。

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