Research Article
Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet
| Input: seizure sample set and nonseizure sample set | | Output: seizure sample set after imbalance treatment | (1) | Calculate the k-nearest neighbor set of | (2) | Denoised seizure sample set | (3) | Calculate the k-nearest neighbor nonseizure set of | (4) | | (5) | Calculate the k-nearest neighbor seizure set of | (6) | | (7) | Calculate the number of new samples that each seizure sample should generate | (8) | fordo | (9) | fordo | (10) | | (11) | | (12) | end | (13) | end | (14) | |
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