Environmental Magnetic Noise Rejection Using Independent Component Analysis for MCG
| Autor: | K. Oyamada, Y. Uchikawa, Koichiro Kobayashi, M. Yoshizawa |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Magnetic noise
business.industry Noise (signal processing) Autocorrelation Pattern recognition Condensed Matter Physics Independent component analysis Signal Electronic Optical and Magnetic Materials Dimension (vector space) Artificial intelligence Electrical and Electronic Engineering business Instrumentation Contraction (operator theory) Mathematics |
| Zdroj: | Journal of the Magnetics Society of Japan. 34:156-160 |
| ISSN: | 1882-2932 1882-2924 |
| DOI: | 10.3379/msjmag.1002r0010 |
| Popis: | We have studied a method of environmental magnetic noise rejection using independent component analysis (ICA) for magnetocardiograms (MCGs). ICA is a useful method of separating the signal from noise. However ICA has various problems in determining numerous parameters and distinguishing signal or noise components from separated components. In many cases, these have been determined from the experiential results, and it has been difficult to determin the optimum parameters. We proposed a method of the distinguishing signal or noise components using the autocorrelation function of electrocardiograms (ECGs) and MCGs. Contraction dimension decisions were used to determin the maximum value of the autocorrelation function. The testing to verify its accuracy was carried out for MCGs with various signal-to-noise ratios. We found that this method was effective for the noise rejection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|