Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm

Computers in Biology and Medicine

Volumn 38, Issue 10, 2008, Pages 1103-1111

  Mu, Tingting ^a   Nandi, Asoke K ^a   Rangayyan, Rangaraj M ^b  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Feature selection; Genetic algorithm; Knee joint sounds; Pattern classification; Strict 2 surface proximal classifier; Vibroarthrography

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; GENETIC ALGORITHMS; KETONES; LEARNING SYSTEMS;

FEATURE SELECTION; FEATURE SPACES; GENETIC ALGORITHM; KNEE-JOINT SOUNDS; LEAVE-ONE-OUT; PATTERN CLASSIFICATION; RECEIVER OPERATING CHARACTERISTICS; STATISTICAL PARAMETERS; STRICT 2-SURFACE PROXIMAL CLASSIFIER; VIBROARTHROGRAPHY;

JOINTS (ANATOMY);

AREA UNDER THE CURVE; ARTICLE; CLASSIFIER; DATA BASE; GENETIC ALGORITHM; KERNEL METHOD; KNEE ARTHROGRAPHY; KNEE VIBROARTHROGRAPHY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL PARAMETERS; STRICT TWO SURFACE PROXIMAL CLASSIFIER; VIBRATION;

ALGORITHMS; HUMANS; KNEE JOINT; VIBRATION;

EID: 53049103842     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.08.009     Document Type: Article

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