2nd International ICST Conference on Body Area Networks

Research Article

Lightweight medical BodyNets

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  • @INPROCEEDINGS{10.4108/bodynets.2007.167,
        author={Foad Dabiri and Hyduke Noshadi and Hagop Hagopian and Tammara Massey and Majid Sarrafzadeh},
        title={Lightweight medical BodyNets},
        proceedings={2nd International ICST Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2007},
        month={6},
        keywords={Embedded systems sensor networks reconfiguration health care},
        doi={10.4108/bodynets.2007.167}
    }
    
  • Foad Dabiri
    Hyduke Noshadi
    Hagop Hagopian
    Tammara Massey
    Majid Sarrafzadeh
    Year: 2007
    Lightweight medical BodyNets
    BODYNETS
    ICST
    DOI: 10.4108/bodynets.2007.167
Foad Dabiri1,*, Hyduke Noshadi1,*, Hagop Hagopian1,*, Tammara Massey2,*, Majid Sarrafzadeh3,*
  • 1: University of California Los Angeles 3514 Boelter Hall Los Angeles, CA, 90095
  • 2: University of California Los Angeles 3256N Boelter Hall Los Angeles, CA, 90095
  • 3: University of California Los Angeles 3532C Boelter Hall Los Angeles, CA, 90095
*Contact email: dabiri@cs.ucla.edu, hyduke@cs.ucla.edu, shaitani@gmail.com, tmassey@cs.ucla.edu, majid@cs.ucla.edu

Abstract

Body area networks are becoming more and more popular in addressing health care application due to advances in sensing technologies and the fact the these networks lie within close proximity of the body. We have developed a general purpose wearable platform using lightweight embedded system to address various medical applications. This architecture is composed of tiny processors/microcontrollers equipped with non-invasive sensors. In addition, an on-body terminal enables the system to be reconfigurable and to communicate with medical enterprises. Since our architecture is made of software programmable blocks, it becomes a reconfigurable system. We introduce different levels of reconfiguration for body area networks and illustrate how reconfiguration can address several design challenges such as adaptability, reliability and power consumption. Finally, we formulate sampling rate assignment as a means of power reduction while meeting performance specification. Through our formulation, power dissipation can be minimized and at the same time, the desired accuracy of the system is achieved.