Investigating the complexity of respiratory patterns during recovery from severe hypoxia

Journal of Neural Engineering

Volumn 1, Issue 1, 2004, Pages 16-20

  Akay, Metin ^a   Sekine, Noriko ^a,b  

^a DARTMOUTH COLLEGE   (United States)

^b NATIONAL CENTER FOR GERIATRICS AND GERONTOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANESTHESIOLOGY; ENTROPY; MATHEMATICAL MODELS; SIGNAL PROCESSING;

CULMINATION; OXYGENATION; PHRENIC NEUROGRAM; PIGLETS;

NEUROLOGY;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BREATHING PATTERN; CONTROLLED STUDY; CONVALESCENCE; DECEREBRATION; DENERVATION; DISEASE SEVERITY; DYSPNEA; ENTROPY; HYPOXIA; NEUROGRAPHY; NEWBORN; NONHUMAN; PHRENIC NERVE; PRIORITY JOURNAL; REOXYGENATION; SWINE; VAGOTOMY; ADAPTATION; AGING; ALGORITHM; ANIMAL; ANOXIA; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL RHYTHM; BREATHING MECHANICS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DIAPHRAGM; ELECTROMYOGRAPHY; INNERVATION; METHODOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY;

ADAPTATION, PHYSIOLOGICAL; AGING; ALGORITHMS; ANIMALS; ANOXIA; BIOLOGICAL CLOCKS; DIAGNOSIS, COMPUTER-ASSISTED; DIAPHRAGM; ELECTROMYOGRAPHY; PATTERN RECOGNITION, AUTOMATED; PHRENIC NERVE; RECOVERY OF FUNCTION; RESPIRATORY MECHANICS; SWINE;

EID: 17844378309     PISSN: 17412560     EISSN: None     Source Type: Journal    
DOI: 10.1088/1741-2560/1/1/003     Document Type: Article

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