NDLI: Quantification of Velocity Anisotropy During Gastric Electrical Arrhythmia

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Quantification of Velocity Anisotropy During Gastric Electrical Arrhythmia

Content Provider	PubMed Central
Author	Peng, Du Greg, Oâ grady Paskaranandavadivel, Niranchan Angeli, Timothy R. Lahr, Christopher Abell, Thomas L. Cheng, Leo K. Pullan, Andrew J.
Abstract	In this study, an automated algorithm was developed to identify the arrhythmic gastric slow wave activity that was recorded using high-resolution mapping technique. The raw signals were processed with a Savitzky-Golay filter, and the slow wave activation times were identified using a threshold varying method and grouped using a region-growing method. Slow wave amplitudes and velocities were calculated for all cycles. Arrhythmic events were identified when the orientation of a slow wave at an electrode exceeded the 95% confidence interval of the averaged orientation of several normal cycles. A second selection criterion was further developed to identify the arrhythmic events by an anisotropy ratio. In both pig and human studies, arrhythmias were associated with the emergence of circumferential velocity components and higher amplitudes.
Related Links	http://dx.doi.org/10.1109/IEMBS.2011.6091092
Ending Page	4405
Page Count	4
Starting Page	4402
File Format	PDF
ISSN	1557170X
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume Number	2011
Language	English
Publisher Date	2011-01-01
Access Restriction	Open
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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