Document Detail


Improvement of resolution in measurement of electrocardiogram RR intervals by interpolation.
MedLine Citation:
PMID:  9302678     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The measurement of successive RR intervals, obtained from the electrocardiogram (ECG), is the basis of any subsequent method for the assessment of variations in heart rate, for example using intervalograms, histograms, trend curves, spectral analysis, etc. The accuracy of measurement directly depends on the sampling rate used for the acquisition of the ECG signal. Depending on specific applications, rates down to 128 Hz are not uncommon. This considerably limits the resolution if RR interval data are to be derived. Interpolation is often employed for solving problems of this type. Linear, cubic and spline interpolations, obtained directly from the MATLAB software product, were applied and compared for the purpose of RR interval measurement. The cubic method was found to combine the improvement of resolution (+/-1 ms) at sampling rates successfully down to 100 Hz, with a rapid operating speed. Comparison examples are given with ECG signals acquired with 1000 Hz, 16-bit sampling.
Authors:
I Daskalov; I Christov
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Publication Detail:
Type:  Comparative Study; Research Support, Non-U.S. Gov't; Technical Report    
Journal Detail:
Title:  Medical engineering & physics     Volume:  19     ISSN:  1350-4533     ISO Abbreviation:  Med Eng Phys     Publication Date:  1997 Jun 
Date Detail:
Created Date:  1997-10-29     Completed Date:  1997-10-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9422753     Medline TA:  Med Eng Phys     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  375-9     Citation Subset:  IM    
Affiliation:
Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Databases, Factual
Electrocardiography / instrumentation,  methods*,  statistics & numerical data
Electrodes
Female
Humans
Male
Middle Aged
Signal Processing, Computer-Assisted

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


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