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Cognitive bio-radar: The natural evolution of bio-signals measurement

Malafaia, D. ; Vieira, J. ; Varum, T. ; Tomé, A.

Journal of Medical Systems Vol. 40, Nº 10, pp. 1 - 2, August, 2016.

ISSN (print): 0148-5598
ISSN (online): 1573-689X

Journal Impact Factor: 2,213 (in 2014)

Digital Object Identifier: 10.1007/s10916-016-0572-8

In this article we discuss a novel approach to Bio- Radar, contactless measurement of bio-signals, calledCognitive Bio-Radar. This new approach implements the Bio-Radar in a Software Defined Radio (SDR) platform in order to obtain awareness of the environment where it operates. Due to this, the Cognitive Bio-Radar can adapt to its surroundings in order to have an intelligent usage of the radio frequency spectrum to improve its performance. In order to study the feasibility of such implementation, a SDR based Bio-Radar testbench was devel- oped and evaluated. The prototype is shown to be able to ac- quire the heartbeat activity and the respiratory effort. The ac- quired data is compared with the acquisitions from a Biopac research data acquisition system, showing coherent results for both heartbeat and breathing rate.