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An Algorithm for Phase-Space Detection of the P Characteristic Points

Herreros, Alberto ; Baeyens, Enrique ; Peran, Jose Ramon ; Johansson, Rolf LU orcid ; Carlson, Jonas LU orcid and Olsson, Bertil LU (2007) 29th Annual International Conference of the IEEE EMBS 1. p.2004-2007
Abstract
A new algorithm, based on embedding phase space, to detect the P-wave characteristic points of an ECG signal is reported in this paper. The multi-lead ECG is transformed into points of an embedding phase space where similar ECG morphologies are converted into phase space points that are close using some distance measure. The algorithm is robust with respect to the type of selected characteristic points (onset, peak and end), morphology changes, baseline oscillations and high frequency noise. The performance of the algorithm has been succesfully validated using both simulated and real ECG signals.
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
PROC. annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2007). Lyon, France, Aug 23-26, 2007
volume
1
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
29th Annual International Conference of the IEEE EMBS
conference location
Lyon, France
conference dates
2007-08-23 - 2007-08-26
external identifiers
  • pmid:18002378
  • scopus:57649187586
ISSN
1557-170X
DOI
10.1109/IEMBS.2007.4352712
language
English
LU publication?
yes
id
90451f08-d044-4fdc-ae67-57e94146c7f8 (old id 1138804)
date added to LUP
2016-04-01 17:14:10
date last changed
2023-09-18 07:21:44
@inproceedings{90451f08-d044-4fdc-ae67-57e94146c7f8,
  abstract     = {{A new algorithm, based on embedding phase space, to detect the P-wave characteristic points of an ECG signal is reported in this paper. The multi-lead ECG is transformed into points of an embedding phase space where similar ECG morphologies are converted into phase space points that are close using some distance measure. The algorithm is robust with respect to the type of selected characteristic points (onset, peak and end), morphology changes, baseline oscillations and high frequency noise. The performance of the algorithm has been succesfully validated using both simulated and real ECG signals.}},
  author       = {{Herreros, Alberto and Baeyens, Enrique and Peran, Jose Ramon and Johansson, Rolf and Carlson, Jonas and Olsson, Bertil}},
  booktitle    = {{PROC. annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2007). Lyon, France, Aug 23-26, 2007}},
  issn         = {{1557-170X}},
  language     = {{eng}},
  pages        = {{2004--2007}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{An Algorithm for Phase-Space Detection of the P Characteristic Points}},
  url          = {{http://dx.doi.org/10.1109/IEMBS.2007.4352712}},
  doi          = {{10.1109/IEMBS.2007.4352712}},
  volume       = {{1}},
  year         = {{2007}},
}