Journal article
Removal of ECG contamination from diaphragmatic EMG by nonlinear filtering
Nonlinear analysis, v 63(5), pp 745-753
2005
Abstract
We describe a method to suppress electrocardiogram (ECG) contaminations in the diaphragm electromyographic (EMG) signals obtained through intraoesophageal electrodes. A nonlinear filter technique originally developed for noise reduction in deterministically chaotic signals is used. The performance of the method was investigated using computer simulations. Multitaper spectral analysis was performed to assess quantitatively the difference between the simulated pure EMG signal and the processed EMG signal. The method is successfully applied to recordings from healthy subjects during deep inspiration.
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Details
- Title
- Removal of ECG contamination from diaphragmatic EMG by nonlinear filtering
- Creators
- Hualou Liang - The University of Texas Health Science Center at HoustonZhiyue Lin - University of Kansas Medical CenterFuliang Yin - Dalian University
- Publication Details
- Nonlinear analysis, v 63(5), pp 745-753
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000234152200012
- Scopus ID
- 2-s2.0-28044441140
- Other Identifier
- 991019320611704721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Mathematics
- Mathematics, Applied