作者spaceuit (0000000)
看板Eng-Class
标题[请益] 论文摘要润饰
时间Tue May 4 19:29:09 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。
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83%；
本研究以呼吸气流温度比对平台演算法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%。
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。
The characteristics of EMG signal between spontaneous and compulsive breathing
were analyzed, and the results of the each of three bands showed significant
differences (p<0.05) on power spectrum analyses.
However, there were only self-difference on zero-cross rate.
Additionally, the characteristic-methods were applied to detect the breath
semi-automatically in EMG, and the accuracies of characteristic-methods were
all above 83%; The respiratory-detection method performed on an
EMG-acquisition platform was estimated by comparing the position of
breathing peak and the count of respiration with the air temperature signal,
and the accuracies were 98.9% and 95.4% respectively.
Furthermore, the chin EMG signals from MIT-BIH Polysomnographic Database were
carried out by characteristics-method;
as a result, the responses of all characteristics of EMG were agreement with
not only the average signal (especially at the status of dyspnea)
but also the hard-to-detect signal.
这段文章我已经改了好多次，但始终写不好希望大家能给我建议，或指出缺点，THX
--
※ 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 (05/04 20:18)