• DocumentCode
    3488535
  • Title

    DANIEL: a dynamic acquisition & numerical information environment & language and RIVKA: robust intelligent vector crunching application (virtual instrument)

  • Author

    Spitzer, A.R. ; Bearden, Felix

  • Author_Institution
    Dept. of Neurol., Wayne State Univ., Detroit, MI, USA
  • fYear
    1993
  • fDate
    13-16 Jun 1993
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    Standard hard-wired instruments are being replaced with digital systems for data acquisition and signal processing. Traditional operating system and software design principles are not suited to the design of high-performance real-time systems such as virtual instruments. The authors have developed such a system to serve as a neurophysiologic instrument. Classical principles such as the separation of the operating system and the application, error checking, the assignment of operations to the system or application, low level configuration control and machine-independent design, have all been substantially revised. The result is an operating system and virtual instrument uniquely suited to real-world instrument design, yet capable of co-existing with other operating systems
  • Keywords
    data acquisition; medical computing; medical signal processing; neurophysiology; operating systems (computers); real-time systems; DANIEL; RIVKA; data acquisition; error checking; high-performance real-time systems; low level configuration control; machine-independent design; neurophysiologic instrument; operating system; robust intelligent vector crunching application; signal processing; software design; virtual instrument; Application software; Control systems; Data acquisition; Digital signal processing; Digital systems; Error correction; Instruments; Operating systems; Real time systems; Software design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1993. Proceedings of Sixth Annual IEEE Symposium on
  • Conference_Location
    Ann Arbor, MI
  • Print_ISBN
    0-8186-3752-8
  • Type

    conf

  • DOI
    10.1109/CBMS.1993.262991
  • Filename
    262991