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Content Provider | IEEE Xplore Digital Library |
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Author | Lopes dos Santos, V. da Costa Souza, B. Belchior, H.A. Neto, A.D.D. |
Copyright Year | 2010 |
Description | Author affiliation: Hospital Automation and Bioengineering Laboratory, Department of Biomedical Engineering. Universidade Federal do Rio Grande do Norte, Brazil (Lopes dos Santos, V.) || Physiology Department, Universidade Federal do Rio Grande do Norte, Brazil Natal, Brazil (Belchior, H.A.) || School of Science and Technology, Universidade Federal do Rio Grande do Norte, Brazil Natal, Brazil (da Costa Souza, B.) || Computation and Automation Department, Universidade Federal do Rio Grande do Norte, Brazil Natal, Brazil (Neto, A.D.D.) |
Abstract | This paper presents a new methodology of feature extraction of sleep and wake stages of a freely behaving rat based on Continuous Wavelet Transform (CWT). The automatic separation of those stages is very useful for experiments related to learning and memory consolidation since recent scientific evidence indicates that sleep is strongly involved with offline reprocessing of acquired information during waking. Our approach transforms hippocampal Local Field Potentials (LFP) in data vectors that describe the energy distribution pattern of the signal on scaled Morlet wavelets projections. Results indicate that the mathematical analysis used in this work can sensibly describe brain signal patterns that correlate to states of behaviour and that our method can be used for a wider range of applications in neuroscience research. |
Starting Page | 4024 |
Ending Page | 4027 |
File Size | 648544 |
Page Count | 4 |
File Format | |
ISBN | 9781424441235 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2010.5628094 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-08-31 |
Publisher Place | Argentina |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Sleep Wavelet transforms Electroencephalography Neuroscience Hafnium Wavelet analysis |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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