An apparatus includes a sensor module, a data processing module, a quality assessment module and an event prediction module. The sensor module provides biosignal data samples and motion data samples. The data processing module processes the biosignal data samples to remove baseline and processes the motion data samples to generate a motion significant measure. The quality assessment module generates a signal quality indicator based on the processed biosignal data sample segments and the corresponding motion significance measure using a first deep learning model. The event prediction module generates an event prediction result based on the processed biosignal data sample segments associated with a desired signal quality indicator using a second deep learning model.一種設備包括感測器模組、資料處理模組、品質評估模組及事件預測模組。所述感測器模組提供生物信號資料樣本及運動資料樣本。所述資料處理模組處理生物信號資料樣本以移除基線並處理運動資料樣本以產生運動顯著性測度。所述品質評估模組使用第一深度學習模型、基於經處理生物信號資料樣本片段及對應的運動顯著性測度來產生信號品質指標。所述事件預測模組使用第二深度學習模型、基於與所期望的信號品質指標相關聯的經處理生物信號資料樣本片段來產生事件預測結果。
