作者spaceuit (0000000)
看板Eng-Class
标题[求译] 摘要的最後一段(自己已试着翻过希望能给我些建议或润饰 )
时间Thu Apr 29 13:05:47 2010
在肌电讯号的特徵值分析中，自主与非自主呼吸在三个频段的频谱功率皆呈现显着
差异(p<0.05)，而过零率上则有明显的自体差异。
The result of the eigenvalue analyses in EMG signal between spontaneous and
compulsive showed a significant difference (p<0.05) on the content of three
segment of frequency. There were, however, only self-defference on zero-cross
rate.
在平台演算法的验证，本研究以呼吸气流温度比对平台对於呼吸肌电讯号处理在位置与
呼吸数判断的正确性，分别为98.9%与95.4%。而在特徵值的应用上，是以半自动的方式
做呼吸判断，其正确率皆高於0.83%；
We also assessed the accuracy of our method for the determination of breath.
The accuracy of location and count of breath signal is 98.9% and 95.4%
respectively on the algorithm of platform. The accuracy is above 0.83% of the
eigenvalue method for determination of breath using the semi-automatic method.
此外本研究以MIT-BIH资料库的多重睡眠电图下巴肌电讯号验证本研究的特徵值方法，
不但都能反应出受测者的呼吸动作(特别是在呼吸窒息的状况)，在难以观测的肌电讯号
中也能看出其呼吸动作的特徵值变化。
Furthermore, we test the eigenvalue-method on the chin EMG signal from
MIT-BIH Polysomnographic Database. All eignevalue of EMG were response
to normal breath signal (especially at the status of dyspnea) and even
hard-to-detect signal.
以上是我的试译，希望版友能给我些建议或指正，谢谢
--
※ 发信站: 批踢踢实业坊(ptt.cc)
◆ From: 140.135.100.111
※ 编辑: spaceuit 来自: 140.135.100.111 (04/29 14:35)
※ 编辑: spaceuit 来自: 140.135.100.111 (04/29 14:37)
※ 编辑: spaceuit 来自: 140.135.100.111 (04/29 16:15)
※ 编辑: spaceuit 来自: 140.135.100.111 (04/29 17:04)