Analysis of encrypted ECG signal in steganography using wavelet transforms

Today, remote point of care (PoC) system is intensively used for moderating the medical traffic in hospitals. Dependability and confidentiality of the information are the vastest problem in remote healthcare and PoC systems. In this Paper, we have focused on encryption process in ECG steganography using wavelet transforms. This method unscrambles the problem of reliability and confidentiality in PoC system. In proposed technique, time domain steganography is executed wherein special range transform is employed for delivering the proficiency to conceal the patient information in any bit location with slightest error. Consequently, frequency domain steganography is implemented in which five level wavelet packet decomposition is completed. Data scrambles inside the ECG signal through scrambling matrix and shared key. In this paper, we have collected the ECG signals of patients from body sensors and physionet. We have hidden the physiological parameters into biomedical signal and produced the watermarked biomedical signal. We have also analysed the energies of original signal and encrypted ECG signal using different wavelets such as coiflet, biorthogonal and symlets wavelets. From the result, it is observed that the energy of encrypted ECG signals using coiflet wavelet transform is higher than any other wavelet transform.