Separation performance of ICA on simulated EEG and ECG signals contaminated by noise

Canadian Conference on Electrical and Computer Engineering

Volumn 2, Issue , 2002, Pages 1099-1104

  Potter, M ^a   Gadhok, N ^a   Kinsner, W ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Blind source separation; ECG; EEG; Higher order statistics; ICA; Independent component analysis

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INDEPENDENT COMPONENT ANALYSIS; STATISTICS;

BODY SURFACE POTENTIAL (BSP);

SIGNAL PROCESSING;

EID: 0036066442     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Independent component analysis, a new concept?
2. Independent component analysis of biomedical signals
3. Competing ICA techniques in biomedical signal analysis
4. Fetal electrocardiogram extraction by blind source subspace separation
5. 1/f fluctuations in biological systems (review)
6. Decomposition of the posterior alpha rhythm
7. Applications of the visible human male data set in electrocardiology: Simulation of the electrical excitation propagation
8. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources
9. A new learning algorithm for blind signal separation