Sleep Apnea Syndrome Recognition Using GreyART Network
| Autor: | Che-Yuan Hu, 胡哲源 |
|---|---|
| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 This thesis uses GreyART network to recognize the EEG signal of sleep apnea syndrome. Seventeen out of eighteen records from MIT/BIH Polysomnographic Database are used to examine the recognition ability of GreyART network. The data applied to GreyART network are preprocessed by order 4 wavelet transform. Among those seventeen records, record slp01b could attain the recognition accuracy of 93.33%, which is the best one. Moreover, the corresponding training phase and test phase accuracy is 95.80% and 92.12%, respectively. Besides, the average recognition accuracy of seventeen records is 78.10%, which was better than previous researches. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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