Using neural networks for processing biologic signals.
Artificial neural networks can represent and handle information by means of interconnected processing elements, in a manner similar to that of biologic neurons. Artificial neural networks are useful in processing time-patterned biologic signals, such as electrocardiograms and electroencephalograms, particularly in tasks involving pattern classification and recognition. They do not need to be programmed, since they are capable of learning. Using artificial neural networks to build associative memories and perform true parallel processing permits "intelligent" biomedical instrumentation.
Sabbatini
R M
RM
Center for Biomedical Informatics, State University of Campinas, SP, Brazil.
D001185:Artificial Intelligence; D004562:Electrocardiography / Q000295:instrumentation*; D004569:Electroencephalography / Q000295:instrumentation*; D005103:Expert Systems; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D012984:Software