With the technological advancement in body area
sensor networks (BASNs), low cost high quality electrocardiographic (ECG)
diagnosis systems have become important equipment for healthcare service
providers. However, energy consumption and data security with ECG systems in
BASNs are still two major challenges to tackle. In this study, we investigate
the properties of compressed ECG data for energy saving as an effort to devise
a selective encryptionmechanism and a two-rate unequal error protection (UEP)
scheme. The proposed selective encryption mechanism provides a simple and yet
effective security solution for an ECG sensor-based communication platform,
where only one percent of data is encrypted without compromising ECG data
security. This part of the encrypted data is essential to ECG data quality due to
its unequally important contribution to distortion reduction. The two-rate UEP
scheme achieves a significant additional energy saving due to its unequal
investment of communication energy to the outcomes of the selective encryption,
and thus, it maintains a high ECG data transmission quality. Our results show
the improvements in communication energy saving of about 40%, and demonstrate a
higher transmission quality and security measured in terms of wavelet-based
weighted percent root-mean-squared difference.
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