Document Detail


Extraction of arterial blood pressure signal from intraluminal impedance signals.
MedLine Citation:
PMID:  17281631     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
Multichannel intraluminal procedure provides information about the esophagus status, reflux occurrence, and clearance mechanism. The study of the impedance signals has been concentrated on the study of reflux patterns and clearance mechanisms. However, there are a number of sources that results in the variations seen in impedance signal. These sources include esophageal characteristic, reflux occurrence, catheter movement, arterial blood pressure and respiration signal. This paper presents the use of the blind signal separation to extract the arterial blood pressure signal from the impedance signals. The extracted signal is further processed to get clean arterial blood pressure signal. The respiration signal can also be extracted in a similar approach.
Authors:
Awad Al-Zaben
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  6     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2005  
Date Detail:
Created Date:  2007-02-06     Completed Date:  2008-09-12     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6011-3     Citation Subset:  -    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Comparison of five different classifiers for classification of mental tasks.
Next Document:  Automatic detection of sleep stages in neonatal EEG using the structural time profiles.