E-health applications include teleradiology, telediagnosis, teleophthalmology, telemedicine, image classification via Convolutional Neural Networks (CNN), cell segmentation and tracking, face recognition, etc. Indeed, these solutions promote the integration of the latest information and communication technologies in the healthcare sector.

Recently, the development and implementation of e-health solutions have become current trends in scientific research. Furthermore, the results of the conducted comparisons reflect the superiority of our algorithm in terms of robustness when compared to recent bio-signal copyright protection schemes. On the other hand, the obtained results demonstrated the fast running of our scheme when it is implemented on the Raspberry Pi board based on parallel computing. The conducted numerical experiments showed, on the one hand, that our scheme is highly secure and provides excellent robustness against common signal-processing attacks (noise, filtering, geometric transformations, compression, etc.). To demonstrate the feasibility of our scheme in IoMTs, it was implemented on a low-cost hardware board, namely Raspberry Pi, where the quad-core processors of this board are exploited using parallel computing. The latter is then encrypted based on a proposed two-dimensional version of the modified chaotic logistic map. Next, confidential patient information with the extracted feature vectors is converted into a QR code.

The proposed scheme involves the use of Hahn’s discrete orthogonal moments for bio-signal feature vector extraction. Our algorithm is designed to ensure a high level of security for confidential patient information and verify the copyrights of bio-signal records included in the EPFs. These EPF data are collected using wireless biomedical sensors implemented in WBSN and IoMTs applications.

This work developed a novel data security algorithm for deployment in emerging wireless biomedical sensor network (WBSN) and IoMTs applications while exchanging electronic patient folders (EPFs) over unsecured communication channels. Due to the rapid development of information and emerging communication technologies, developing and implementing solutions in the Internet of Medical Things (IoMTs) field have become relevant.

Signal security