Research Article
[Retracted] Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation
Table 7
The comparison between proposed method and existing method using cross-subject validation.
| Methods | SEN (%) | SPE (%) | PRE (%) | ACC (%) | FDR (%) | F1 (%) | SEN_SPE (%) |
| [28] | 77.04 (R) | 72.27 (R) | — | — | — | — | 74.58 (R) | 83.23 (FR) | 79.36 (FR) | 81.25 (FR) | [29] | 92.4 (R) | — | — | — | 9.2 (R) | — | — | 90.3 (FR) | 10.7 (FR) | [47] | 82.666 | 63.352 | — | — | — | — | 71.73 | Proposed | 92.00 | 88.26 | 86.86 | 89.76 | 13.14 | 89.11 | 89.87 |
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