Affirmation of electronic patient record through bio-electric signal for medical data encryption authenticity

In the current scenario, second opinion of physicians has gained a significant attention in terms of saving life and cost. This requires transmission of Electronic Patient Record (EPR), which is generally carried on a secured network. Despite all safety measures, the primary concern is privacy, security and confidentiality of patient information. Therefore, this paper proposes an invisible watermarking method of embedding EPR into the facial image. This is protected through a key generated by a novel Restoration & Bundle Encryption method using structural content of patient's bioelectric signal. The security evaluation carried out demonstrates that within a rational time, it is impossible to extract any information without the key. The embedded data and restored data is evaluated using block match process and feature extraction is carried out for each of the blocks. An extensive simulation carried out compared to other existing methods shows that, this method has better peak signal to noise ratio (PSNR); Normalized Cross-Correlation (NC) of 93%; Contrast with a mean variation of 0.65% and maximum difference in Correlation being 0.18%. The entropy of 96% and maximum variance of 6.5% illustrates that there is minimal loss of medical information in the de-watermarked stage.