Research Article
[Retracted] 3D Input Convolutional Neural Network for SSVEP Classification in Design of Brain Computer Interface for Patient User
Table 1
Online experiment result with using 1D input CNN method.
| | Classification accuracy (%) | Complete time (min) | ITR (bit/min) |
| S-1 | 87.50 | 1.93 | 46.66 | S-2 | 90.00 | 1.79 | 53.65 | S-3 | 85.00 | 1.87 | 45.14 | S-4 | 95.00 | 1.66 | 65.87 | S-5 | 82.50 | 2.04 | 38.74 | S-6 | 92.50 | 1.76 | 58.20 | Average | 88.75 | 1.84 | 50.50 |
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