Automatic K-complex detection using Hjorth parameters and fuzzy decision

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2010, Pages 979-980

  Migotina, Daria ^a   Rosa, Agostinho ^a   Fred, Ana ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

fuzzy decision; Hjorth parameters; K complex; sleep EEG

Indexed keywords

AUTOMATIC DETECTION; DETECTION METHODS; DETECTION SYSTEM; EVOKED RESPONSE; EXTERNAL STIMULUS; FUZZY DECISION; HJORTH PARAMETERS; HUMAN ELECTROENCEPHALOGRAM; HUMAN EXPERT; K-COMPLEX; KEY FEATURE; SLEEP EEG; SLEEP RECORDINGS; SLEEP STAGE; STOCHASTIC NATURE; TRANSIENT WAVES;

COMPLEXATION; ELECTROENCEPHALOGRAPHY;

SLEEP RESEARCH;

EID: 77954732839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1774088.1774293     Document Type: Conference Paper

References (6)

1. Terzano, M.G., Parrino, L., and Mennuni, G. F. Phasic Events And Microstructure Of Sleep. Martano Editore Lecce, 1997
2. Richard C., Lengelle R. Joint Time and Time-Frequency Optimal Detection of K-complexes in Sleep EEG. Computers and Biomedical Research, 31: 209-229, 1998.
3. Pohl, V. and Fahr, E. Neuro-Fuzzy Recognition of K-complexes in Sleep EEG Signals. IEEE-EMBC and CMBEC, Signal Processing, 1995.
4. Kam, A., Cohen, A., Geva, A.B., and Tarasiuk, A. Detection of K-complexes in Sleep EEG Using CD-HMM. IEEE Annual International Conference, USA, September 1-5, 2004.
5. Hjorth, B. EEG analysis based on time domain properties. Electroencephalography and Clinical Neurophysiology, 29:306-3 10, 1970.
6. Karris S. T. Mathematics for Business, Science and Technology. Orchard Publication. Edition 3, 2007.