Direct identification of bacteria in blood culture samples using an electronic nose

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 12, 2010, Pages 2884-2890

  Trincavelli, Marco ^a   Coradeschi, Silvia ^a   Loutfi, Amy ^a   Soderquist, Bo ^a,b   Thunberg, Per ^b  

^a ÖREBRO UNIVERSITY   (Sweden)

^b ÖREBRO UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Bacteria identification; electronic nose; sepsis

Indexed keywords

BLOOD CULTURE; CLASSIFICATION ACCURACY; DATA SETS; DIRECT IDENTIFICATIONS; ELECTRONIC NOSE; GAS SENSOR ARRAYS; HUMAN BLOODS; POSTERIOR PROBABILITY; SEPSIS; STEADY STATE; UNDERLYING MECHANISM;

ARTIFICIAL ORGANS; BLOOD; CHEMICAL SENSORS; SENSOR ARRAYS;

BACTERIOLOGY;

ACCURACY; ARTICLE; BACTERIUM IDENTIFICATION; BLOOD CULTURE; ELECTRONIC NOSE; NONHUMAN; PERFORMANCE; PROBABILITY; RELIABILITY; SENSOR; SIGNAL DETECTION; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACTEREMIA; BACTERIA; BACTERIOLOGICAL TECHNIQUES; BIOSENSING TECHNIQUES; BLOOD; GASES; HUMANS; ODORS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 78649274345     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2049492     Document Type: Article

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