张海秀刘文龙△ 赵玉霞.阻塞性睡眠呼吸暂停综合征的分级检测[J].现代生物医学进展英文版,2012,12(7):1247-1250. |
阻塞性睡眠呼吸暂停综合征的分级检测 |
A Detection for Obstructive Sleep Apnea Syndrome Grading Diagnosis |
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DOI: |
中文关键词: 呼吸暂停 鼾声 共振峰 子带能量 |
英文关键词: Apnea Snoring Formant Sub-band energy |
基金项目:国家自然科学基金重点项目(11032008),中央高校基本科研业务费专项资金(DUT10JS04) |
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中文摘要: |
目的:对不同患病程度的OSAS 患者的子带能量比特性进行研究,同时给出一种适用于家庭环境的OSAS 检测方法。方法:
以鼾声第一共振峰集中频段为先验知识,分析27 例OSAS 患者和13 例单纯打鼾者鼾声的子带能量比。结果:本文方法能较好的
区分OSAS 患者和单纯打鼾者。中、重度OSAS 患者的子带能量比均高于轻度患者,差异具有统计学意义,中度和重度患者的差
异不明显。最后给出家庭环境中本文方法的检测精度,灵敏度为92.86 %,特异性为92.97 %。结论:本文方法能有效的检测OSAS
患者,有望实现大规模普及化筛查,并为今后利用鼾声特性区分不同患病程度提供一种有效的研究思路。 |
英文摘要: |
Objective: Study on the ratio of Sub-band energy for the patients of different Obstructive Sleep Apnea Syndrome
Grading and propose an OSAS detection method undergoing home environment. Methods: Based on the priori knowledge of frequency
band which the first formant frequency of snore sound occurred in, we analyzed the ratio of sub-band energy of snore for 27 cases of
OSAS patients and 13 cases of simple snorers. Results: Our method can distinguish patients with OSAS and simple snoring. The ratios of
sub-band energy for the moderate and severe OSAS cases were higher than the patients with mild, but there was no markedly difference
between severe patients and moderate cases. At last, we proposed an OSAS detection method undergoing home environment. The
sensitivity was 92.86 % and the specificity was 92.97 %. Conclusions: This method was effective in detection of OSAS patients, which
was expected to be used as a convenient and routine diagnostic method, and it could lay the groundwork for separating different severity
of OSAS in detail. |
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