 The proposed method uses a bi-directional gated recurrent unit by GRU neural network to detect seizures from long-term electroencephalogram e.g. recordings. This approach achieves high accuracy with an average sensitivity of 93.89% and an average specificity of 98.49%. Additionally, it can accurately identify 124 out of 128 seizures and has a low false detection rate of 0.31 per hour.