EP parametrization and classification using wavelet networks - Theoretical concept and medical application

Studies in Health Technology and Informatics

Volumn 43, Issue , 1997, Pages 541-545

  Dickhaus, Hartmut ^a   Heinrich, Hartmut ^b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROPHYSIOLOGY; LEARNING ALGORITHMS; MEDICAL APPLICATIONS; PATTERN RECOGNITION;

ATTENTION DEFICIT HYPERACTIVITY DISORDER; CLASSIFICATION RATES; CROSS VALIDATION; DISCRIMINATION TASKS; FUNDAMENTAL CONCEPTS; PARAMETRIZATIONS; USER INTERACTION; WAVELET NETWORK;

BIOMEDICAL SIGNAL PROCESSING;

AROUSAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION DEFICIT DISORDER; BRAIN CORTEX; BRAIN MAPPING; CHILD; CLASSIFICATION; ELECTROENCEPHALOGRAPHY; EVOKED AUDITORY RESPONSE; HUMAN; INSTRUMENTATION; MALE; PATHOPHYSIOLOGY; PHYSIOLOGY; SIGNAL PROCESSING;

AROUSAL; ATTENTION DEFICIT DISORDER WITH HYPERACTIVITY; BRAIN MAPPING; CEREBRAL CORTEX; CHILD; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, AUDITORY; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0031318960     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-887-8-541     Document Type: Conference Paper

References (12)

1. Duncan-Johnson CC, Donchin E: On quantifying surprise: the variation of event-related potentials with subjective probability. Psychophysiology 18:493-513, 1977.
2. Rockstroh B, Elbert TH, Birbaumer N, Lutzenberger W: Slow brain potentials and behaviour. München: Urban & Schwarzenberg, 1982.
3. Williams WJ: Reduced interference distributions: biological applications and interpretations. Proc. IEEE 84(9): 1264-1280, 1996.
4. Rumelhart D, Hinton GE, Williams RJ: Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL (Eds.): Parallel Distributed Processing, vol.1, Cambridge, MA:MIT Press, 318-362, 1986.
5. Lippmann RP: An introduction to computing with neural nets. IEEE ASSP Magazine 4:4-22, April 1987.
6. Szu HH, Telfer B, Kadambe S: Neural network adaptive wavelets for signal representation and classification. Optical Engineering 31(9):1907-1916, September 1992.
7. Wilson R, Calway AD, Pearson ERS: A generalized wavelet transform for Fourier analysis: The multiresolution Fourier transform and its application to image and audio signal analysis", IEEE-IT 38(2):674-690, 1992.
8. Rothenberger A: The role of frontal lobes in child psychiatric disorders. In: Rothenberger A (Ed.): Brain and behavior in child psychiatry. Berlin, Heidelberg: Springer, 34-58, 1990.
9. Lou HC, Henriksen L, Bruhn P: Focal cerebral hypoperfusion in children with dysphasia and/or attentional deficit disorder. Arch. Neurol. 41:825-829, 1984.
10. American Psychiatric Association: Diagnostic and statistical manual-III (revised). American Psychiatric Association, Washington, 1987-
11. Dickhaus H, Heinrich H: Classifying biosignals with wavelet networks. IEEE EMB Magazine 15(5):103-111, 1996.
12. Kalayci T, Özdamar Ö: Wavelet preprocessing for automated neural network detection of EEG spikes. IEEE EMB Magazine 14(2):160-166, 1995.