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学科主题: 临床医学
题名:
HHT based cardiopulmonary coupling analysis for sleep apnea detection
作者: Liu, Dongdong1; Yang, Xiaochen1; Wang, Guangfa2,3; Ma, Jing2,3; Liu, Yanhui4; Peng, Chung-Kang3,4; Zhang, Jue1,3; Fang, Jing1,3
关键词: OSAHS ; Hilbert-Huang transform ; Cardiopulmonary coupling ; Sleep spectrum ; ECG ; Coupling
刊名: SLEEP MEDICINE
发表日期: 2012-05-01
DOI: 10.1016/j.sleep.2011.10.035
卷: 13, 期:5, 页:503-509
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Clinical Neurology
研究领域[WOS]: Neurosciences & Neurology
关键词[WOS]: HEART-RATE-VARIABILITY ; ELECTROCARDIOGRAM-BASED TECHNIQUE ; DAYTIME SLEEPINESS ; DYNAMICS ; RECORDINGS ; ALGORITHMS ; SPECTRUM ; INDEXES ; ADULTS ; EEG
英文摘要:

Study objectives: To validate the feasibility of the Hilbert-Huang transform (HHT) based cardiopulmonary coupling (CPC) technique in respiratory events detection and estimation of the severity of apnea/hypopnea.

Methods: The HHT-CPC sleep spectrogram technique was applied to a total of 69 single-lead ECG signals downloaded from the Physionet Sleep Apnea Database. Sleep spectrograms generated by both the original and the improved CPC method were compared on the structure distribution and time-frequency resolution. The performance of respiratory events detection by using the power of low frequency coupling (pLFC) in the new method was estimated by receiver operating characteristic analysis. Furthermore, correlation between HHT-CPC index (temporal Variability of Dominant Frequency, TVDF) and conventional OSAHS scoring was computed.

Results: The HHT-CPC spectrum provides much finer temporal resolution and frequency resolution (8 s and 0.001 Hz) compared with the original CPC (8.5 min and 0.004 Hz). The area under the ROC curve of pLFC was 0.79 in distinguishing respiratory events from normal breathing. Significant differences were found in TVDF among groups with different severities of OSAHS (normal, mild, moderate, and severe, p < 0.001). TVDF has a strong negative correlation with the apnea/hypopnea index (AHI, correlation coefficient -0.71).

Conclusions: The HHT-CPC spectrum could exhibit more detailed temporal-frequency information about cardiopulmonary coupling during sleep. As two spectrographic markers, pLFC and TVDF can be used to identify respiratory events and represent the disruption extent of sleep architecture in patients with sleep apnea/hypopnea, respectively. The proposed technique might serve as a complementary approach to enhance diagnostic efforts. (C) 2012 Elsevier B. V. All rights reserved.

语种: 英语
WOS记录号: WOS:000303346800009
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/53254
Appears in Collections:北京大学第一临床医学院_呼吸和危重症医学科_期刊论文

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作者单位: 1.Peking Univ, Coll Engn, Beijing 100871, Peoples R China
2.Peking Univ, Hosp 1, Dept Pulm Med, Beijing 100871, Peoples R China
3.Peking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China
4.Harvard Univ, Beth Israel Deaconess Med Ctr, Margret & HA Rey Inst Nonlinear Dynam Physiol & M, Div Interdisciplinary Med & Biotechnol,Med Sch, Boston, MA 02215 USA

Recommended Citation:
Liu, Dongdong,Yang, Xiaochen,Wang, Guangfa,et al. HHT based cardiopulmonary coupling analysis for sleep apnea detection[J]. SLEEP MEDICINE,2012,13(5):503-509.
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