Respiratory network complexity in neonatal rat in vivo and in vitro

Advances in Experimental Medicine and Biology

Volumn 605, Issue , 2008, Pages 393-398

  Yu, Hui Jing ^a   Chen, Xinnian ^a   Foglyano, Ryan M ^b   Wilson, Christopher G ^b   Solomon, Irene C ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; CONFERENCE PAPER; CONTROLLED STUDY; ELECTROMYOGRAM; IN VITRO STUDY; IN VIVO STUDY; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; RAT; RESPIRATION CONTROL; ANIMAL; ANIMAL MODEL; ARTICLE; DIAPHRAGM; ELECTROMYOGRAPHY; ENTROPY; INHALATION; MEDULLA OBLONGATA; NEWBORN; PHYSIOLOGY; RESPIRATORY FUNCTION;

RATTUS; RODENTIA;

ANIMALS; ANIMALS, NEWBORN; DIAPHRAGM; ELECTROMYOGRAPHY; ENTROPY; INHALATION; MEDULLA OBLONGATA; MODELS, ANIMAL; NERVE NET; RATS; RESPIRATORY PHYSIOLOGY;

EID: 38449099815     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-73693-8_69     Document Type: Conference Paper

References (3)

1. Funk, G.D. and Parkis, M.A. (2002) High frequency oscillations in respiratory networks: functionally significant or phenomenological? Respir. Physiol. Neurobiol. 131, 101-120.
2. Pincus, S.M. (1991) Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. 88, 2297-2301.
3. Pincus, S.M. and Goldberger, A.L. (1994) Physiological time-series analysis: what does regularity quantify? Am. J. Physiol. 266, H1643-H1656.