Automatic Segmentation and Classification of Ionic-Channel Signals

IEEE Transactions on Biomedical Engineering

Volumn 38, Issue 2, 1991, Pages 149-155

  Moghaddamjoo, Alireza ^a  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION THEORY; IONS - DIFFUSION; PROBABILITY; SIGNAL DETECTION; SIGNAL PROCESSING - DIGITAL TECHNIQUES;

IONIC CHANNEL SIGNAL DETECTION; MINIMUM DESCRIPTION LENGTH; OPTIMUM SIGNAL SEGMENTATION; STOPPING CRITERION;

MEMBRANES;

ION CHANNEL;

ALGORITHM; ARTICLE; CLASSIFICATION;

ALGORITHMS; ION CHANNELS; MODELS, BIOLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0026107460     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.76380     Document Type: Article

References (10)

1. B. Hills, Ionic Channels of Excitable Membranes. Sunderland, MA: Sinauer, 1984.
2. T. Narahashi, Ion Channels, Vol. 1. New York: Plenum, 1988.
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9. J. Rissanen, “A universal prior for the integers and estimation by minimum description length,” Ann. Statist., vol. 11, pp. 417–431, 1983.
10. M. Wax and T. Kailath, “Detection of signals by information theoretic criteria,” IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-33, pp. 387–392, Feb. 1985.