A comparison of algorithms for estimation of a respiratory signal from the surface electrocardiogram

被引：80

作者：

O'Brien, Ciara ^{[1
]}

Heneghan, Conor ^{[1
]}

机构：

[1] Univ Coll Dublin, Dept Elect & Elect Engn, Dublin 4, Ireland

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 03期

关键词：

ECG; respiration; sleep disordered breathing; AMEA; linear discriminant classification;

D O I：

10.1016/j.compbiomed.2006.02.002

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We provide a quantitative comparison between two new methods for deriving a respiratory signal from a single lead electrocardiogram, and the published technique of Behbehani et al. [An investigation of the mean electrical axis angle and respiration during sleep, in: Proceedings of the Second Joint EMBS/BMES Conference Houston, TX, USA, October 2002]. We conclude that (a) single ECG lead methods for estimating the respiratory signal are well correlated with inductance plethysmographs (correlation coefficients of approximately 0.75), (b) single lead estimates are more robust than methods based on the mean electrical axis, (c) body position has little impact on measurement accuracy and (d) single lead respiratory estimates can classify epochs of sleep disordered respiration with approximately 82% accuracy. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：305 / 314

页数：10

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