• DocumentCode
    2116172
  • Title

    Moving coil pressure algometer produces consistent force gradient and repeated stimulation

  • Author

    Adnadjevic, D. ; Graven-Nielsen, T.

  • Author_Institution
    Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg, Denmark
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    6591
  • Lastpage
    6594
  • Abstract
    Computer-controlled pressure stimulation (algometry) offers seemingly good reliability when it comes to pain assessment methods. It is therefore important to ensure through methodological quantification that moving coil pressure algometer (MCPA) exhibits accurate, fast, and precise tissue stimulation techniques. This study 1) demonstrates that MCPA satisfies force gradient capabilities of a conventional computer-controlled algometry, and 2) reports on effectiveness of the MCPA to produce sustained, fast, and repeated stimulation of a known pulse duration (600ms) and force magnitude (10kg). Solicited force gradients of 500, 1000, and 1800g/s showed high correlation values (R2 >; 0.99) for both rubber mat and direct probe-to-sensor contact cases. Through fast switching between different modes of operation of the actuator, force overshoot was reduced from as much as 300 to 20% for the same force magnitude, at the expense of a slight delay in repeated pulse delivery scheme.
  • Keywords
    biological tissues; biomechanics; biomedical equipment; biomedical measurement; MCPA; accurate tissue stimulation techniques; computer controlled pressure stimulation; consistent force gradient; direct probe-sensor contact; fast tissue stimulation techniques; force gradient capabilities; moving coil pressure algometer; pain assessment methods; precise tissue stimulation techniques; repeated stimulation; rubber mat contact; time 600 ms; Actuators; Coils; Force; Pain; Pistons; Rubber; Switches; Algorithms; Computer Simulation; Electricity; Equipment Design; Humans; Linear Models; Pain; Pain Measurement; Pain Threshold; Pressure; Reproducibility of Results; Signal Processing, Computer-Assisted; Stress, Mechanical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347505
  • Filename
    6347505