title: Classification of oxygen transport to tissue with neural networks.
abstract: In the current stage of the development of the EMPHO II it was shown that the transport of oxygen to tissue can be classified for all applications in real time by using neural networks. The resolution of the oxygen classification is 1%. The implementation of the neural network is possible on a commercial signal processor TMS 320C30 board which is compatible with an IBM PC. The implementation of the neural network is done fully in software and no special neurocomputer is necessary. The results are very promising so that the neural network design goals will be established in the future. In the future further efforts will be made in order to increase the data base and to train the network in more detail.
authors.affiliation: Diehl GmbH, Roethenbach, Germany.
authors.forename: W
authors.initials: W
authors.lastname: Babel
authors.forename: N
authors.initials: N
authors.lastname: Hetterich
authors.forename: T
authors.initials: T
authors.lastname: Müller
mesh_terms: D000818:Animals; D001921:Brain / Q000378:metabolism*; D006801:Humans; D008838:Microcomputers; D009206:Myocardium / Q000378:metabolism; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000378:metabolism*; D010100:Oxygen / Q000378:metabolism*; D012867:Skin / Q000378:metabolism; D012984:Software
chemical_list: D010100:Oxygen