Sleep Stage Classification using Wavelet Transform and Neural Network
Title | Sleep Stage Classification using Wavelet Transform and Neural Network |
Publication Type | Technical Report |
Year of Publication | 1999 |
Authors | Oropesa, E., Cycon H. L., & Jobert M. |
Other Numbers | 1164 |
Abstract | In this paper we present a new method to do automatic sleep stage classification. The algorithm consists of basically three modules. A wavelet packet transformation (WPT) applied to 30 seconds long epochs of EEG recordings to provide localized time-frequency information, a feature generator which quantifies the information and reduce the data set size, and an artificial neural network for doing optimal classification. The classification results compared to those of a human expert reached a 70 to 80% of agreement. |
URL | http://www.icsi.berkeley.edu/ftp/global/pub/techreports/1999/tr-99-008.pdf |
Bibliographic Notes | ICSI Technical Report TR-99-008 |
Abbreviated Authors | E. Oropesa, H. L. Cycon, and M. Jobert |
ICSI Publication Type | Technical Report |