A structural knowledge-based proposal for the identification and characterization of apnoea episodes

Applied Soft Computing Journal

Volumn 12, Issue 1, 2012, Pages 516-526

  Otero, Abraham ^a   Félix, Paulo ^b   Barro, Senén ^b   Zamarrón, Carlos ^c  

^a UNIVERSIDAD SAN PABLO CEU   (Spain)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^c HOSPITAL CLÍNICO UNIVERSITARIO   (Spain)

Author keywords

Biosignal processing; Constraint satisfaction problems; Fuzzy set theory; Knowledge representation; Sleep Apnoea Syndrome (SAS); Structural pattern recognition

Indexed keywords

BIOSIGNAL PROCESSING; CONSTRAINT SATISFACTION PROBLEMS; GRAPHICAL TOOLS; MEDICAL KNOWLEDGE; RESPIRATORY AIRFLOW; SIGNAL PATTERNS; SLEEP APNOEA SYNDROME (SAS); STRUCTURAL PATTERN RECOGNITION;

CHARACTERIZATION; CONSTRAINT THEORY; DROPS; FUZZY SET THEORY; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; PATTERN RECOGNITION; SLEEP RESEARCH;

KNOWLEDGE REPRESENTATION;

EID: 81155139757     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.08.009     Document Type: Article

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