DocumentCode :
3629989
Title :
Classification of biomagnetic field patterns by neural networks
Author :
M.F. Schlang;R. Neuneier;K. Abraham-Fuchs;J. Uebler
Author_Institution :
Siemens AG, Munchen, Germany
fYear :
1993
Firstpage :
572
Lastpage :
581
Abstract :
When analyzing biomagnetic fields, three-dimensional source reconstruction plays an important role. A method is presented which facilitates preprocessing for such a reconstruction. A neural net classifier decides whether from a given magnetoencephalographic map a localization using a given source model can be carried through. The performance in practical applications is compared for various types of networks. Some new information about the properties of the biomagnetic inverse problem is obtained by extracting rules from the trained nets.
Keywords :
"Biomagnetics","Neural networks","Magnetic field measurement","Superconducting magnets","Humans","Time measurement","SQUIDs","Magnetic separation","Research and development","Biomedical engineering"
Publisher :
ieee
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Print_ISBN :
0-7803-0928-6
Type :
conf
DOI :
10.1109/NNSP.1993.471830
Filename :
471830
Link To Document :
بازگشت