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
Link To Document