Abstract
The need for electroencephalographic (EEG) data storage, processing and transmission for further analysis has made a great demand for efficient compression techniques. This paper presents a new compression method for EEG signals using subband descomposition and Golomb coding, enabling exploit the prevalence of low amplitude samples. Uniform scalar quantization is applied after a quality-controlled thresholding process and the elimination of dead zone. Nonzero thresholded values and runs of zeros are coded using Golomb-Rice and Golomb-Exp encoding respectively. The proposed method attains compression ratios that are better than other published results for the same reconstruction quality.
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© 2013 Springer Berlin Heidelberg
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Bazán-Prieto, C., Blanco-Velasco, M., Cárdenas-Barrera, J., Cruz-Roldán, F. (2013). Compresión de Señales EEG Basada en Descomposición en Subbandas y Codificación de Golomb. In: Folgueras Méndez, J., et al. V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba. IFMBE Proceedings, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21198-0_288
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DOI: https://doi.org/10.1007/978-3-642-21198-0_288
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21197-3
Online ISBN: 978-3-642-21198-0
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