Modeling the relationship between concurrent epicardial action potentials and bipolar electrograms

IEEE Transactions on Biomedical Engineering

Volumn 46, Issue 4, 1999, Pages 365-376

  Zhang, Xu Sheng ^a   Zhu, Yi Sheng ^b   Thakor, Nitish V ^b   Wang, Zi Ming ^a,b   Wang, Zhi Zhong ^a,b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Johns Hopkins University School of Medicine   (United States)

Author keywords

Arrhythmia detection; Bipolar electrograms; Epicardial action potentials (AP's); Nonlinear modeling; System identification; Wavelet networks

Indexed keywords

BIOELECTRIC POTENTIALS; COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; IDENTIFICATION (CONTROL SYSTEMS); NONLINEAR EQUATIONS; SIGNAL NOISE MEASUREMENT; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE; WAVELET TRANSFORMS;

ARRYTHMIA DETECTION; BIPOLAR ELECTROGRAMS; EPICARDIAL ACTION POTENTIALS; NONLINEAR MODELING; RHYTMIC BIFURCATION; WAVELET NETWORKS;

MATHEMATICAL MODELS;

AMPLITUDE MODULATION; ANIMAL TISSUE; ARTICLE; ARTIFICIAL HEART PACEMAKER; BIOMEDICAL ENGINEERING; DEFIBRILLATOR; ELECTRIC ACTIVITY; EPICARDIUM; HEART ARRHYTHMIA; HEART ELECTROPHYSIOLOGY; HEART MUSCLE CELL; HEART MUSCLE POTENTIAL; HEART RHYTHM; HEART VENTRICLE FIBRILLATION; HEART VENTRICLE TACHYCARDIA; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL MODEL; MICROELECTRODE; NERVE CELL NETWORK; NONHUMAN; NONLINEAR SYSTEM; SINUS RHYTHM; SUPRAVENTRICULAR TACHYCARDIA; TIME; VALIDATION PROCESS;

EID: 0032901212     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.752933     Document Type: Article

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