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 :
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