Proposed cloud infrastructure of wearable and ubiquitous medical services

Tomtsis, Dimitrios; Kontogiannis, Sotirios; Kokkonis, George; Kazanidis, Ioannis; Valsamidis, Stavros

doi:10.1109/icdipc.2015.7323031

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…The RPi is a low power (0.7–1.2 W) single-board computer with a 700 MHz ARM processor and 512 MB of RAM. The RPi is one of the more powerful BAN nodes, and has already been applied in a range of practical BAN and e-health applications [ 38 , 39 ]. One particular benefit of the RPi is it is supported by Matlab, Simulink and a range of design tools, which facilitates easy and fast prototyping.…”

Section: Embedded System Implementationmentioning

confidence: 99%

Design of Secure ECG-Based Biometric Authentication in Body Area Sensor Networks

Peter

Reddy

Momtaz

et al. 2016

Sensors

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Body area sensor networks (BANs) utilize wireless communicating sensor nodes attached to a human body for convenience, safety, and health applications. Physiological characteristics of the body, such as the heart rate or Electrocardiogram (ECG) signals, are promising means to simplify the setup process and to improve security of BANs. This paper describes the design and implementation steps required to realize an ECG-based authentication protocol to identify sensor nodes attached to the same human body. Therefore, the first part of the paper addresses the design of a body-area sensor system, including the hardware setup, analogue and digital signal processing, and required ECG feature detection techniques. A model-based design flow is applied, and strengths and limitations of each design step are discussed. Real-world measured data originating from the implemented sensor system are then used to set up and parametrize a novel physiological authentication protocol for BANs. The authentication protocol utilizes statistical properties of expected and detected deviations to limit the number of false positive and false negative authentication attempts. The result of the described holistic design effort is the first practical implementation of biometric authentication in BANs that reflects timing and data uncertainties in the physical and cyber parts of the system.

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Section: Embedded System Implementationmentioning

confidence: 99%