• DocumentCode
    333158
  • Title

    Development and in vivo application of the nerve stimulator and EMG analysis system for selective posterior rhizotomy

  • Author

    Kwon, S.H. ; Kim, H.C. ; Oh, C.W.

  • Author_Institution
    Interdisciplinary Program of Med. & Biol. Eng., Seoul Nat. Univ., South Korea
  • Volume
    5
  • fYear
    1998
  • fDate
    28 Oct-1 Nov 1998
  • Firstpage
    2616
  • Abstract
    A computerized system composed of neurostimulator and EMG signal acquisition and real-time analysis system has been developed to be used for selective posterior rhizotomy. As a preliminary study for the clinical application of the developed system, we performed a series of animal experiments using cats. From the results of in vivo application, we verified the basic system performance and found that latency, amplitude variance and waveform variance are useful parameters to differentiate sensory nerve from motor nerve. The underlying mechanisms of these phenomena were also provided. These findings were utilized in establishing the objective criterion in nerve selection for selective posterior rhizotomy
  • Keywords
    electromyography; medical signal detection; medical signal processing; neuromuscular stimulation; surgery; waveform analysis; EMG analysis system; F-wave; H-wave; M-wave; abnormal reflex; amplitude variance; animal experiments; computerized system; in vivo application; interactive software system; latency; motor nerve; nerve stimulator; neurosurgery; real-time analysis system; selective posterior rhizotomy; sensory nerve differentiation; signal acquisition; spasticity; spinal cord; waveform variance; Animals; Biomedical engineering; Electromyography; Extremities; In vivo; Neurosurgery; Pulse amplifiers; Signal analysis; Space vector pulse width modulation; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.744995
  • Filename
    744995