Sleep Stage Classification using Wavelet Transform and Neural Network

TitleSleep Stage Classification using Wavelet Transform and Neural Network
Publication TypeTechnical Report
Year of Publication1999
AuthorsOropesa, E., Cycon H. L., & Jobert M.
Other Numbers1164
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.

URLhttp://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