A study on noise reduction using ICA for Magnetoencephalography
| العنوان: | A study on noise reduction using ICA for Magnetoencephalography |
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| المؤلفون: | Yoshinori Uchikawa, Makoto Kotani, Masaki Kawakatsu, Masaharu Adachi, Hidenori Ishibashi |
| المصدر: | IEEJ Transactions on Electronics, Information and Systems. 124:1685-1691 |
| بيانات النشر: | Institute of Electrical Engineers of Japan (IEE Japan), 2004. |
| سنة النشر: | 2004 |
| مصطلحات موضوعية: | symbols.namesake, Signal-to-noise ratio, Stochastic resonance, Noise (signal processing), Computer science, Gaussian noise, Acoustics, Noise reduction, symbols, Electrical and Electronic Engineering, Signal transfer function, Noise floor, Signal subspace |
| الوصف: | In the biomagnetic measurement, the biomagnetic signal is extremely weak compared with environmental magnetic noise. Therefore, it is important to reduce the noise component. There are many noise-reduction studies for MEG using Independent Component Analysis (ICA). The ICA method is expectable to extract and remove noise components from the brain magnetic field measurement data. However, in these researches, each obtained independent components are artificially distinguished to the noise and the signal. We propose a method of distinguishing to the noise and the signal automatically by using the signal subspace method for vector brain magnetic field. By applying this method to a phantom data and Auditory Evoked Field data, it is shown improvement of the signal to noise ratio and estimated accuracy. |
| تدمد: | 1348-8155 0385-4221 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::1cb66338939e0eab258e96b9574dfbca https://doi.org/10.1541/ieejeiss.124.1685 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........1cb66338939e0eab258e96b9574dfbca |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13488155 03854221 |
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