A detection device for an apnea based on a chest respiratory signal is provided. The detection device includes a processor, a storage medium, and a transceiver. The transceiver obtains a first chest respiratory signal and a first unipolar ECG corresponding to the chest respiratory signal. The processor accesses and executes a plurality of modules in the storage medium, wherein the plurality of modules include a training module and a detection module. The training module uses the first chest respiratory signal and the first unipolar ECG as training data to train a machine learning model. The detection module obtains, via the transceiver, a second chest respiratory signal and a second unipolar ECG of a subject, and determines, according to the machine learning model, the second chest respiratory signal, and the second unipolar ECG, whether at least one apnea event is happened on the subject.提出一種基於胸部呼吸訊號的呼吸暫停的偵測裝置。偵測裝置包括處理器、儲存媒體以及收發器。收發器取得第一胸部呼吸訊號以及對應於第一胸部呼吸訊號的第一單極導程心電圖。處理器存取和執行儲存媒體中的多個模組，其中多個模組包括訓練模組以及偵測模組。訓練模組將第一胸部呼吸訊號以及第一單極導程心電圖作為訓練資料以訓練機器學習模型。偵測模組通過收發器取得受試者的第二胸部呼吸訊號以及第二單極導程心電圖，並且根據機器學習模型、第二胸部呼吸訊號以及第二單極導程心電圖判斷受試者是否發生至少一呼吸暫停事件。
