Broadband noise suppression and feature identification of ECG waveforms using mathematical morphology and embedding theorem

Computer Methods and Programs in Biomedicine

Volumn 112, Issue 3, 2013, Pages 466-480

  Ji, T Y ^a   Wu, Q H ^a,b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Adaptive filter; ECG signal processing; Embedding theorem; Feature identification; Multiscale mathematical morphology

Indexed keywords

ADAPTIVE CLUSTERING; BROADBAND NOISE; ECG SIGNAL PROCESSING; EMBEDDING THEOREMS; FEATURE IDENTIFICATION; GEOMETRIC INFORMATION; MORPHOLOGICAL FILTERS; SIMULATION STUDIES;

ADAPTIVE FILTERING; ELECTROCARDIOGRAPHY; PHASE SPACE METHODS; SIGNAL PROCESSING;

MATHEMATICAL MORPHOLOGY;

ARTICLE; ELECTROCARDIOGRAM; GEOMETRY; MATHEMATICAL ANALYSIS; SIGNAL PROCESSING; SIMULATION; THEORY; WAVEFORM;

ADAPTIVE FILTER; ECG SIGNAL PROCESSING; EMBEDDING THEOREM; FEATURE IDENTIFICATION; MULTISCALE MATHEMATICAL MORPHOLOGY;

ELECTROCARDIOGRAPHY; MODELS, THEORETICAL; SIGNAL-TO-NOISE RATIO;

EID: 84885430370     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.08.006     Document Type: Article

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