Epileptic Seizure Prediction Based on Zero-Crossing Interval Features of Scalp EEG Signals
碩士 === 義守大學 === 資訊工程學系 === 105 === In this study, we propose an approach of epileptic seizure prediction by combining the zero-crossing intervals of scalp EEG signals and heart rate variability analysis. In this study, we propose an online fuzzy extreme learning machine based on the recursive singul...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/c8693w |