Automated determination of bubble grades from Doppler ultrasound recordings

Aviation Space and Environmental Medicine

Volumn 76, Issue 8, 2005, Pages 771-777

  Payne, Stephen J ^a   Chappell, Michael A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Bubbles; Detection algorithms

Indexed keywords

AIR EMBOLISM; ALGORITHM; ARTICLE; ARTIFACT; AUTOMATION; DOPPLER FLOWMETRY; SCORING SYSTEM; VALIDATION PROCESS;

ALGORITHMS; ARTIFACTS; AUTOMATION; DECOMPRESSION SICKNESS; HEART RATE; HUMANS; OBSERVER VARIATION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, DOPPLER;

EID: 23044468728     PISSN: 00956562     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

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4. Marroni A, Bennett PB, Cronje FJ, et al. A deep stop during decompression from 82 fsw (25 m) significantly reduces bubbles and fast tissue gas tensions. Undersea Hyperb Med 2004; 31:233-43.
5. th ed. Philadelphia: Saunders; 2003:501-29.
6. Sawatzky KD, Nishi RY. Assessment of inter-rater agreement on the grading of intravascular bubble signals. Undersea Biomed Res 1991; 18:373-96.