Modeling and classification of knee-joint vibroarthrographic signals using probability density functions estimated with parzen windows

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 2099-2102

  Rangayyan, Rangaraj M ^a   Wu, Yunfeng ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CARTILAGE; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; JOINTS (ANATOMY); PROBABILITY DENSITY FUNCTION;

ARTICULAR CARTILAGES; CLASSIFICATION ACCURACY; KULLBACK-LEIBLER DISTANCE; PROBABILITY DENSITY FUNCTIONS (PDFS); RECEIVER OPERATING CHARACTERISTICS; SCREENING EFFICIENCY; STATISTICAL CHARACTERISTICS; STATISTICAL MODELING;

BIOMEDICAL SIGNAL PROCESSING;

ARTHROGRAPHY; ARTICLE; ARTICULAR CARTILAGE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; HUMAN; KNEE; METHODOLOGY; NONPARAMETRIC TEST; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; SIGNAL PROCESSING; STATISTICAL MODEL; VIBRATION;

ARTHROGRAPHY; CARTILAGE, ARTICULAR; HUMANS; KNEE JOINT; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS, NONPARAMETRIC; VIBRATION;

EID: 61849136857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649607     Document Type: Conference Paper

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