A wearable device capable of detecting sleep apnea comprising a processor and an electrocardiographic sensor is provided. The processor trains a neural network module to establish a sleep apnea detection model. An electrocardiogram sensor senses an electrocardiographic signal of a sleep situation. The processor analyzes the electrocardiographic signal to detect a plurality of R-waves in the electrocardiographic signal. The processor performs an R-wave amplitude analysis operation, an R-wave angular analysis operation, and a rhythm variation analysis operation according to the R-waves to obtain a plurality of characteristic values. The processor utilizes the trained sleep apnea detection model to perform a sleep apnea detection operation based on the characteristic values to detect whether the sleep situation has a sleep apnea event.本發明提出一種可偵測睡眠呼吸中止的穿戴式裝置包括處理器以及心電感測器。處理器訓練類神經網路模組，以建立睡眠呼吸中止偵測模型。心電感測器感測睡眠情境的心電圖信號。處理器分析心電圖信號，以偵測在心電圖信號中的多個R波。處理器依據這些R波執行R波振幅分析操作、R波角度分析操作以及心律變異分析操作以取得多個特徵值。處理器利用經訓練後的睡眠呼吸中止偵測模型來依據這些特徵值執行睡眠呼吸中止偵測操作，以偵測睡眠情境是否發生睡眠呼吸中止事件。
