Advanced

Estimation of respiration frequency using spatial information from the VCG

Leandersson, Susanna; Laguna, Pablo and Sörnmo, Leif LU (2003) In Medical Engineering & Physics1994-01-01+01:00 25(6). p.501-507
Abstract
A new method for extracting respiratory signals from the ECG/VCG is presented. The method is based on the alignment of an observed VCG loop to a reference loop with respect to the transformations of rotation and time synchronisation. The resulting series of estimated rotation angles reflects respiratory-induced changes in the electrical axis of the heart. The respiratory frequency is estimated by power spectral analysis of the derived respiration signal. The value of respiratory modulation of the heart rate is considered by analysing the cross power spectrum of the signals related to rotation angles and heart rate. For comparison, a respiratory signal derived from the QRS area of two different leads is implemented. The performance of the... (More)
A new method for extracting respiratory signals from the ECG/VCG is presented. The method is based on the alignment of an observed VCG loop to a reference loop with respect to the transformations of rotation and time synchronisation. The resulting series of estimated rotation angles reflects respiratory-induced changes in the electrical axis of the heart. The respiratory frequency is estimated by power spectral analysis of the derived respiration signal. The value of respiratory modulation of the heart rate is considered by analysing the cross power spectrum of the signals related to rotation angles and heart rate. For comparison, a respiratory signal derived from the QRS area of two different leads is implemented. The performance of the methods is validated on a database with simultaneously recorded VCG and respiratory signals acquired from 20 healthy subjects. The agreement between the respiratory frequencies obtained from the derived and the respiratory signals is presented. The angle-based respiratory signal is found to produce the best agreement with a gross median error of only 4.2%. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Medical Engineering & Physics1994-01-01+01:00
volume
25
issue
6
pages
501 - 507
publisher
Elsevier
external identifiers
  • pmid:12787988
  • wos:000183608000008
  • scopus:0037716748
ISSN
1873-4030
DOI
10.1016/S1350-4533(03)00017-1
language
English
LU publication?
yes
id
95eb12b0-8817-4675-9c37-6a7a6ee9b4c3 (old id 308445)
date added to LUP
2008-03-11 15:13:41
date last changed
2018-08-19 04:09:55
@article{95eb12b0-8817-4675-9c37-6a7a6ee9b4c3,
  abstract     = {A new method for extracting respiratory signals from the ECG/VCG is presented. The method is based on the alignment of an observed VCG loop to a reference loop with respect to the transformations of rotation and time synchronisation. The resulting series of estimated rotation angles reflects respiratory-induced changes in the electrical axis of the heart. The respiratory frequency is estimated by power spectral analysis of the derived respiration signal. The value of respiratory modulation of the heart rate is considered by analysing the cross power spectrum of the signals related to rotation angles and heart rate. For comparison, a respiratory signal derived from the QRS area of two different leads is implemented. The performance of the methods is validated on a database with simultaneously recorded VCG and respiratory signals acquired from 20 healthy subjects. The agreement between the respiratory frequencies obtained from the derived and the respiratory signals is presented. The angle-based respiratory signal is found to produce the best agreement with a gross median error of only 4.2%.},
  author       = {Leandersson, Susanna and Laguna, Pablo and Sörnmo, Leif},
  issn         = {1873-4030},
  language     = {eng},
  number       = {6},
  pages        = {501--507},
  publisher    = {Elsevier},
  series       = {Medical Engineering & Physics1994-01-01+01:00},
  title        = {Estimation of respiration frequency using spatial information from the VCG},
  url          = {http://dx.doi.org/10.1016/S1350-4533(03)00017-1},
  volume       = {25},
  year         = {2003},
}