Adaptive computing-based biometric security for intelligent medical applications

Author:

Wu Wanqing,Pirbhulal Sandeep,Li Guanglin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference33 articles.

1. Faust O, Hagiwara Y, Hong TJ, Lih OS, Acharya UR (2018) Deep learning for healthcare applications based on physiological signals: a review. In: Computer methods and programs in biomedicine

2. Wu W, Pirbhulal S, Sangaiah AK, Mukhopadhyay SC, Li G (2018) Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications. In: Future generation computer systems, pp 1–19

3. Pirbhulal S, Zhang H, Wu W (2017) HRV-based biometric privacy-preserving and security mechanism for wireless body sensor networks, 2017. In: Mukhopadhyay SC, Islam T (eds) Wearable sensors applications, design and implementation, vol 12. Springer, Berlin, pp 1–25

4. Pirbhulal S, Zhang H, Mukhopadhyay SC, Wu W, Zhang YT (2018) Heart-beats based biometric random binary sequences generation to secure wireless body sensor networks. IEEE Trans Biomed Eng 18(1): 1–9. http://ieeexplore.ieee.org/document/8314739

5. Pirbhulal S, Zhang H, Mukhopadhyay SC et al (2015) An efficient biometric-based algorithm using heart rate variability for securing body sensor networks. Sensors 15(7):15067–15089

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