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Electromyogram-based method to secure wireless body sensor networks for rehabilitation systems.

Guanghe Zhang, Oluwarotimi Williams Samuel, Fanghua Liu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 25, 2017
    PubMed
    Summary

    This study introduces a new method using electromyogram (EMG) signals to generate secure random numbers for wireless body sensor networks (WBSNs). This approach enhances data security in rehabilitation systems.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Cybersecurity

    Background:

    • Wireless body sensor networks (WBSNs) are crucial for health monitoring and rehabilitation.
    • Ensuring data privacy and security in WBSNs is a significant challenge, particularly for real-time applications.
    • Current random number generation methods using electrocardiogram (ECG) signals have limitations in real-time scenarios.

    Purpose of the Study:

    • To propose and evaluate a novel electromyogram (EMG) based random number (RN) generation method.
    • To enhance the security of data acquired from WBSNs for rehabilitation systems.
    • To address the limitations of existing RN generation techniques in real-time applications.

    Main Methods:

    • Developed a new security scheme utilizing EMG signals for RN generation.
    • Acquired EMG signals from 15 healthy subjects.
    • Extracted EMG features and coded them into 128-bit RNs.

    Main Results:

    • The generated RNs exhibited high entropy values (0.96–1.00), indicating strong randomness.
    • Hamming distances ranged from 41 to 83, demonstrating good distinctiveness.
    • The results suggest the RNs are suitable for authentication and encryption in WBSNs.

    Conclusions:

    • The proposed EMG-based RN generation method offers a viable solution for securing health information in WBSNs.
    • This novel approach shows potential for improving real-time security in rehabilitation systems.
    • Further research can explore the broader applicability of this method in various WBSN applications.