1st International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Bio-Medical Sensing using Ultra Wideband Communications and Radar Technology: A Feasibility Study

  • @INPROCEEDINGS{10.1109/PCTHEALTH.2006.361671,
        author={Carlos G.  Bilich},
        title={Bio-Medical Sensing using Ultra Wideband Communications and Radar Technology: A Feasibility Study},
        proceedings={1st International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2007},
        month={5},
        keywords={Ultra wideband radar ultra wideband communications heart rate contact-less vital signs monitoring heart rate variability (HRV).},
        doi={10.1109/PCTHEALTH.2006.361671}
    }
    
  • Carlos G. Bilich
    Year: 2007
    Bio-Medical Sensing using Ultra Wideband Communications and Radar Technology: A Feasibility Study
    PERVASIVEHEALTH
    IEEE
    DOI: 10.1109/PCTHEALTH.2006.361671
Carlos G. Bilich1,*
  • 1: Center of Research and Telecommunication Experimentation for Networked Communities (www.create-net.org)
*Contact email: carlos.bilich@create-net.org

Abstract

The aim of this work is to study the application of ultra wideband (UWB) technology to perform biomedical sensing and vital signs monitoring in humans. Among the numerous signals that can be measured, the heart rate (HR) is chosen as the first objective due to its importance. The research is pointed towards the development of a technique that can allow both, radar sensing and communications using the same UWB transceiver. Such a sensor, could use UWB radar principles to measure the heart beat rate and UWB communication standards to transmit these measurements. Readily available commercial transceivers with minor adaptations will be considered as possible to solve for the physical layer. Signal processing for target detection will be done at higher levels. Having sensors with such "duo" properties can make them ideal nodes for wearable computing, as well as sensor and body area networks