6533b82efe1ef96bd1293cf6
RESEARCH PRODUCT
Adaptive frequency decomposition of EEG with subsequent expert system analysis.
A. VisbeckChristoph HerrmannH. P. HundemerH. C. HopfThomas Arnoldsubject
AdultBiometryAdolescentComputer scienceFuzzy setStability (learning theory)Health InformaticsExpert SystemsElectroencephalographycomputer.software_genreFuzzy logicFuzzy LogicmedicineHumansSensitivity (control systems)Diagnosis Computer-AssistedTheta RhythmAgedAged 80 and overSignal processingBrain Diseasesmedicine.diagnostic_testbusiness.industryPattern recognitionElectroencephalographyMiddle AgedExpert systemComputer Science ApplicationsAlpha RhythmDelta RhythmHybrid systemArtificial intelligencebusinesscomputerAlgorithmdescription
We present a hybrid system for automatic analysis of clinical routine EEG, comprising a spectral analysis and an expert system. EEG raw data are transformed into the time-frequency domain by the so-called adaptive frequency decomposition. The resulting frequency components are converted into pseudo-linguistic facts via fuzzification. Finally, an expert system applies symbolic rules formulated by the neurologist to evaluate the extracted EEG features. The system detects artefacts, describes alpha rhythm by frequency, amplitude, and stability and after artefact rejection detects pathologic slow activity. All results are displayed as linguistic terms, numerical values and maps of temporal extent, giving an overview about the clinical routine EEG.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2001-11-01 | Computers in biology and medicine |