[Use of methods of pattern recognition in the detection of evoked potentials].
Pattern recognition methods based on parameters and on geometry are described briefly and the results obtained with different characteristics in 79 patients with single potential recognition and subsequent sequential testing are presented. In subjectively very safely identifiable potentials accurate results in a proportion of up to 92% are obtained; if all tests with a subjective rating are considered, one obtains a correct automatic reclassification quota of 69% for the randomly selected sample. This system can help the examining person by supplying him with decision criteria. However, without additional processing of the entire context automatic processing is not sufficiently safe. Possibilities for the use of the automatic recognition method in scientific problems are demonstrated by means of examples.
Moser
M
M
Phoniatrische Abteilung, Universitäts-HNO-Klinik, Erlangen.
D000465:Algorithms; D001306:Auditory Pathways / Q000503:physiopathology; D001309:Auditory Threshold / Q000502:physiology; D001933:Brain Stem / Q000503:physiopathology*; D002540:Cerebral Cortex / Q000503:physiopathology*; D004569:Electroencephalography / Q000295:instrumentation*; D005072:Evoked Potentials, Auditory; D006319:Hearing Loss, Sensorineural / Q000503:physiopathology*; D006801:Humans; D011930:Reaction Time / Q000502:physiology; D012815:Signal Processing, Computer-Assisted
Untersuchungen zum Einsatz von Methoden der Mustererkennung zum Nachweis evozierter Potentiale.