Linked Life Data

8925646

Source:http://linkedlifedata.com/resource/pubmed/id/8925646

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1996-10-25
pubmed:abstractText
Regularity or complexity characteristics of RR interval variations have attained importance in the evaluation of a variety of pathological conditions. Regular periodic fluctuations in heart rate are considered indicators of loss of control in the cardiovascular system and of disturbances in pulmonary function. Methods to detect such loss of cardiopulmonary function have been developed mainly through linear and non-linear system analysis. Both approaches were tested in the present study. MBW, which is the ratio between maximal power spectrum (PS) amplitude and its 3-db bandwidth (BW) in the 0-0.1 Hz frequency range, was calculated and compared for different examples derived from 24 h Holter recordings and for sinusoidal function mixed with varying degrees of noise. Approximate entropy (ApEn), a measure derived from non-linear system analysis has been tested for the same data and compared with the MBW ratio. The results show that MBW effectively differentiates regular and non-regular epochs while ApEn differentiates them in a less optimal manner especially in cases where higher degrees of noise are present but regularity is still observed visually.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0169-2607
pubmed:author
pubmed:issnType
Print
pubmed:volume
48
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
201-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Detection of regularities in heart rate variations by linear and non-linear analysis: power spectrum versus approximate entropy.
pubmed:affiliation
Department of Cardiology, Hadassah University Hospital, Jerusalem, Israel.
pubmed:publicationType
Journal Article, Comparative Study