Document Detail

Using independent component analysis for noise reduction of magnetocardiographic data in case of exercise with an ergometer.
MedLine Citation:
PMID:  16772219     Owner:  NLM     Status:  MEDLINE    
In 1992, Brockmeier et al. showed that there is a strong difference in magnetocardiography (MCG)-detected field distribution generated by the heart at rest and under stress. To study the possible clinical applications of this finding, it is convenient to avoid pharmacological stress and to perform stress MCG (SMCG) using conventional physical stress with an ergometer. When using a non-magnetic ergometer, the MCG recordings under physical stress are more noisy due to the unavoidable movement artefacts from the patient and from the residual artefacts of the ergometer. To remove these artefacts a denoising was performed using independent component analysis (ICA) in a new implementation. This work shows that with ICA in this special implementation it is becoming feasible to extract heart signals from SMCG data recorded during ergometer exercise.
H-P Müller; G Nolte; D Di Pietro Paolo; S N Erné
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of medical engineering & technology     Volume:  30     ISSN:  0309-1902     ISO Abbreviation:  J Med Eng Technol     Publication Date:    2006 May-Jun
Date Detail:
Created Date:  2006-06-14     Completed Date:  2006-12-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7702125     Medline TA:  J Med Eng Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  158-65     Citation Subset:  IM    
Division for Biosignals and Imaging Technologies, Central Institute for Biomedical Engineering, University of Ulm, Germany.
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MeSH Terms
Data Interpretation, Statistical
Ergometry / statistics & numerical data*
Exercise Test / statistics & numerical data*
Heart / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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