Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Heng-Kuan Zhou"'
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 18:138-143
This paper describes a new technique to classify and analyze the electroencephalogram (EEG) signal and recognize the EEG signal characteristics of Sleep Apnea Syndrome (SAS) by using wavelet transforms and an artificial neural network (ANN). The EEG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28d76dbe7c604fd78d816ddfcd2a5eee
https://doi.org/10.4015/s1016237206000233
https://doi.org/10.4015/s1016237206000233
Autor:
LIN, ROBERT, LEE, REN-GUEY, TSENG, CHWAN-LU, ZHOU, HENG-KUAN, CHAO, CHIH-FENG, JIANG, JOE-AIR
Publikováno v:
Biomedical Engineering: Applications, Basis & Communications; Jun2006, Vol. 18 Issue 3, p138-143, 6p