Representation and classification of breath sounds recorded in an intensive care setting using neural networks

Journal of Clinical Monitoring and Computing

Volumn 16, Issue 2, 2000, Pages 95-105

  Waitman, L R ^c   Clarkson, K P ^a   Barwise, J A ^a   King, P H ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

^c NONE

Author keywords

Breath sounds; Intensive care unit; Neural networks; Respiratory sounds; Spectral analysis

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FAST FOURIER TRANSFORMS; FEEDFORWARD NEURAL NETWORKS; INTENSIVE CARE UNITS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; RESPIRATORY MECHANICS; SIGNAL FILTERING AND PREDICTION; SOUND RECORDING; SPECTRUM ANALYSIS; VECTORS;

BREATH SOUNDS; RESPIRATORY SOUNDS;

PATIENT MONITORING;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREATH ANALYSIS; CLASSIFICATION; CLINICAL ARTICLE; FEMALE; HEAD INJURY; HUMAN; INTENSIVE CARE UNIT; MALE; PRIORITY JOURNAL; SOUND; ABNORMAL RESPIRATORY SOUND; MIDDLE AGED; MONITORING; SIGNAL PROCESSING;

ADULT; AGED; FEMALE; HUMANS; INTENSIVE CARE UNITS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; NEURAL NETWORKS (COMPUTER); RESPIRATORY SOUNDS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0033789759     PISSN: 13871307     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009934112185     Document Type: Article

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