Abstract—ECG steganography hides patient’s confidential data into their Electrocardiogram during transmission/storage of medical records, in order to ensure protection of patient privacy. Efficiency of a steganography method can be estimated using imperceptibility and robustness of hidden data which are estimated using Peak Signal to Noise Ratio and Bit Error Rate metrics, < Final Year Projects > respectively. In this research work, an attempt has been made to perform ECG steganography using Discrete Wavelet Transform – Singular Value Decomposition method with additive quantization scheme. A vital challenge in steganography is that affects the imperceptibility and robustness of watermark. The novelty of proposed work is that improves the robustness of hidden data using BCH error-correcting codes. MIT-BIH database is used to evaluate the performance of the proposed ECG steganography method. It is observed that the robustness of hidden data is improved owing to BCH codes.
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