Classification of sleep stages in infants: A neuro fuzzy approach

IEEE Engineering in Medicine and Biology Magazine

Volumn 21, Issue 5, 2002, Pages 147-151

  Heiss, J E ^a   Held, C M ^a   Estevez P A ^a   Perez, C A ^a   Holzmann, C A ^a   Perez J P ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CHILD; CLASSIFICATION; ELECTROENCEPHALOGRAM; HUMAN; INFANT; INFORMATION PROCESSING; NERVE CELL NETWORK; SIMULATION; SLEEP PATTERN; SLEEP STAGE; SLEEP WAKING CYCLE; VISUAL DISCRIMINATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; FUZZY LOGIC; HUMANS; INFANT; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; POLYSOMNOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SLEEP STAGES; WAKEFULNESS;

EID: 0036750245     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/MEMB.2002.1044185     Document Type: Article

References (8)

1. C.A. Holzmann, C.A. Perez, C.M. Held, M. San Martín, F. Pizarro, J.P. Pérez, M. Garrido, and P. Peirano, "Expert system classification of sleep-waking states in infants," Med. Biol. Eng. Comput., vol. 37, pp. 466-476, 1999.
2. A. Rechtschaffen and A. Kales, A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. Los Angeles, CA: BIS/BRI, Univ. of California, 1968.
3. C. Guilleminault and M. Souquet, "Sleep states and related pathology," in Advances in Perinatal Neurology, vol. 1, R. Korobkin and C. Guilleminault, Eds. New York: Spectrum, 1979.
4. R. Norman, I. Pal, C. Stewart, J. Walsleben, and D. Rappaport, "Interobserver agreement among sleep scorers from different centers in a large dataset," Sleep, vol. 23, no. 7, pp. 901-908, 2000.
5. D.P. White and T.J. Gibb, "Evaluation of a computerized polysomnographic system," Sleep, vol. 21, no. 2, pp. 188-196, 1998.
6. P.A. Estévez, C.M. Held, C.A. Holzmann, C.A. Perez, J.P. Pérez, J. Heiss, M. Garrido, and P. Peirano, "Polysomnographic pattern recognition for automated classification of sleep-waking states in infants," Med. Biol. Eng. Comput., vol. 40, pp. 105-113, Jan. 2002.
7. J.S.R. Jang, "ANFIS: Adaptive-network-based fuzzy inference systems," IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 665-685, May 1993.
8. J.S.R. Jang and C.T. Sun, "A neuro-fuzzy classifier and its applications," in Proc. 2nd IEEE Int. Conf. Fuzzy Systems, San Francisco, CA, 28 Mar. -1 Apr. 1993, pp. 94-98.