• DocumentCode
    2632798
  • Title

    Neural networks: in search of computer-aided diagnosis

  • Author

    Schizas, C.N. ; Bonsett, C.A. ; Livesay, R.R. ; Pattichis, C.S.

  • Author_Institution
    Indianapolis Univ., IN, USA
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    1825
  • Abstract
    The authors introduce the Bonsett Protocol, which quantifies a physician´s intuitive and experienced opinions. Neural networks and EMG (electromyographic) signals have been used to enhance the diagnosis of neuromuscular disorders. Neural networks in both supervised and unsupervised learning environments have provided valuable insight; however, there has been no method available to quantify the expert opinion of the examining physician. This study combines the quantitative EMG features that are derived from the motor unit action potential, and the expert physician´s opinion, thus forming the input to the neural network. Expert physicians will be able to create their own neural network models by quantifying their examination protocols and combining it with the quantitative EMG data
  • Keywords
    bioelectric potentials; medical diagnostic computing; muscle; neural nets; Bonsett Protocol; EMG features; computer-aided diagnosis; electromyographic signals; examination protocols; expert opinions; motor unit action potential; neural network models; neuromuscular disorders; neuromuscular examinations; physician opinion; Area measurement; Biological neural networks; Computer aided diagnosis; Diseases; Electromyography; Intelligent networks; Muscles; Needles; Neural networks; Neuromuscular;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170620
  • Filename
    170620