A neurological event detection method is provided and include: obtaining a neural oscillation signal and extracting a plurality of features from the neural oscillation signal； obtaining a plurality of classification results corresponding to a plurality of times according to the plurality of features by using a classification model constructed based on a plurality of training data, wherein whether a neurological event occurs is known in each training data； and calculating a final determination result corresponding to each of a plurality of evaluation time windows according to a preset width of time window and the plurality of classification results and displaying the final determination results. The final determination result indicates whether the neurological event occurs. Each evaluation time window corresponds to a plurality of classification results and one single final determination result. In addition, a neurological event detection system using the neurological event detection method is also provided.本發明提出一種神經事件偵測方法。所述神經事件偵測方法包括以下步驟：取得神經振盪訊號，並且擷取神經振盪訊號的多個特徵；根據所述多個特徵利用分類模型得到對應於多個時間的多個分類結果，其中分類模型是基於已知神經事件是否發生的多筆訓練資料來建構；以及根據預設時窗寬度以及所述多個分類結果計算多個評估時窗的每一者對應的最終判斷結果，並且顯示最終判斷結果。最終判斷結果指示神經事件是否發生。每一個評估時窗對應於多個分類結果以及一個最終判斷結果。此外，一種使用神經事件偵測方法的神經事件偵測系統亦被提出。
