Self-adaptive model-based ECG denoising using features extracted by mean shift algorithm

Biomedical Signal Processing and Control

Volumn 5, Issue 2, 2010, Pages 103-113

  Yan, Jingyu ^a   Lu, Yan ^a   Liu, Jia ^b   Wu, Xinyu ^b   Xu, Yangsheng ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

Denoising of ECG signal; ECG dynamical model; Feature extraction; Mean shift

Indexed keywords

ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS; PHYSIOLOGICAL MODELS; PHYSIOLOGY; SIGNAL DENOISING;

DENOISING METHODS; ECG DYNAMICAL MODELS; ECG SIGNALS; MASSACHUSETTS INSTITUTE OF TECHNOLOGY; MEAN SHIFT; MEAN SHIFT ALGORITHM; ROBUST ESTIMATION; SELF-ADAPTIVE MODELS;

BIOMEDICAL SIGNAL PROCESSING;

ALGORITHM; ARTICLE; DATA BASE; ELECTROCARDIOGRAM; EXPERIMENT; FILTER; HEART BEAT; HOSPITAL; HUMAN; KNOWLEDGE; MATHEMATICAL MODEL; METHODOLOGY; NOISE; PARAMETER; PERFORMANCE; PRIORITY JOURNAL; SELF CONCEPT;

EID: 77956649890     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2010.01.003     Document Type: Article

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