The present invention provides a dysphagia discrimination device for myasthenia gravis, which comprises a signal preprocessor, a swallow phase analyzer, and a dysphagia evaluator. In which, the signal preprocessor receives a larynx electromyography and sound signals during the swallow phase and employs the baseline correction and a low-pass filter to retrieve the signal characteristics of the larynx electromyography during the swallow phase and the wavelet transformation and moving average to retrieve the signal characteristics of the larynx sound, and then transmits the signal characteristics to the swallow phase analyzer. After received, the swallow phase analyzer employs the signal characteristics to detect the choking sound and discriminate each phase during swallowing. Finally, the dysphagia evaluator summarizes the characteristics of each phase during swallowing and employs the fuzzy calculation for severity diagnosis for each phase, so as to achieve the purpose of dysphagia discrimination for myasthenia gravis.一種肌無力症吞嚥困難鑑別裝置,包含有訊號前處理器、吞嚥時期分析器及吞嚥困難評估器;該訊號前處理器係接收吞嚥時期喉部肌電圖及聲音訊號,並利用基線校正及低通濾波器,取出喉部肌電圖吞嚥階段之訊號特徵,並利用小波轉換與移動平均取出喉部聲音之訊號特徵,再將此訊號特徵傳輸至吞嚥時期分析器中,而吞嚥時期分析器接收後則透過訊號特徵偵測出嗆聲並區分出吞嚥各期階段,最後吞嚥困難評估器彙總吞嚥各期階段之特徵並使用模糊計算來判別各期嚴重度等級,據此達到肌無力症吞嚥困難鑑別之效。1‧‧‧訊號前處理器2‧‧‧吞嚥時期分析器3‧‧‧吞嚥困難評估器
