Abstract
These days a large number of people are suffering from heart diseases on the planet. Therefore in E-healthcare framework a large number of ECG signals as well as patient confidential information will be communicated via the Internet. Any modifications in the ECG signal may conduct a wrong diagnosis by the specialist, which can be deadly for patients. To ensure secure and safe communication in E-healthcare framework, proposed method presents an enhanced reversible data hiding algorithm based on prediction of most significant bit planes (MSB). Proposed method reserved room for embedding patient information before encryption, after data embedding stego signal is encrypted through combination of stream ciphers respectively. The experimental study has performed on MIT-BIH arrythmia database and proposed method achieved average embedding rate of 15.04 bits per sample, at receiver end precisely recover patient information (Bit Error Rate value is zero) with an average percentage residual difference of 0.0415 between the cover and reconstructed ECG signal successfully.
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Data Availability
The ECG signals that support the findings of this study can be found at MIT-BIH arrythmia database: https://www.physionet.org/content/mitdb/1.0.0/100.dat.
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Bhardwaj, R. Effective electrocardiogram steganography for secured patient information transmission based on most significant bit planes prediction. Multimed Tools Appl 82, 15779–15796 (2023). https://doi.org/10.1007/s11042-022-13955-0
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DOI: https://doi.org/10.1007/s11042-022-13955-0