ECG signal compression and classification algorithm with quad level vector for ECG holter system

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 1, 2010, Pages 93-100

  Kim, Hyejung ^a   Yazicioglu, Refet Firat ^a   Merken, Patrick ^a   Van Hoof, Chris ^a   Yoo, Hoi Jun ^b  

^a IMEC   (Belgium)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Biomedical monitoring; Biomedical signal processing; Data compression; Signal classification

Indexed keywords

ADAPTIVE THRESHOLDS; BIOMEDICAL MONITORING; BIOMEDICAL SIGNAL PROCESSING; BLOCK SIZES; CLASSIFICATION ALGORITHM; COMPRESSION ALGORITHMS; COMPRESSION RATIOS; COMPRESSION TECHNIQUES; COMPUTATION COMPLEXITY; ECG SIGNAL PROCESSING; ECG SIGNALS; ENCODING RATES; HOLTER SYSTEM; HUFFMAN CODING; HUFFMAN CODING METHOD; MASSACHUSETTS INSTITUTE OF TECHNOLOGY; PERCENTAGE ROOT-MEAN-SQUARE DIFFERENCES; PROCESSING COSTS; R-PEAK DETECTION; ROBUST TESTS; SIGNAL CLASSIFICATION; SIGNAL QUALITY; WORST CASE;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPRESSION RATIO (MACHINERY); COST REDUCTION; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; PROCESSING; SIGNAL DETECTION; SIGNAL PROCESSING;

DATA COMPRESSION;

ALGORITHM; ARTICLE; ECONOMICS; ELECTROCARDIOGRAPHY; HUMAN; METHODOLOGY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ELECTROCARDIOGRAPHY, AMBULATORY; HUMANS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 76849115999     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2031638     Document Type: Conference Paper

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