Blind separation of maternal and fetal ECG recordings using adaptive sparse representations
Blind separation of maternal and fetal ECG recordings using adaptive sparse representations
In this paper we present a method to blindly separate maternal and fetal ECG signals using recordings made from the maternal abdomen. The method is general and is able to separate the signals using any number of recording electrodes, including the difficult case of single channel blind source separation. The approach is based on the assumption that the signals admit a sparse and shift-invariant representation. Adaptation of the representation then leads to the emergence of the PQRST complexes of the maternal and the fetal heart for each electrode so that we can separate the individual sources by reconstructing the signal using only a single PQRST complex.
01274545830X
23-26
Blumensath, T.
470d9055-0373-457e-bf80-4389f8ec4ead
Davies, M. E.
49efcd9d-430a-4387-8f5b-49c29e308e2a
March 2007
Blumensath, T.
470d9055-0373-457e-bf80-4389f8ec4ead
Davies, M. E.
49efcd9d-430a-4387-8f5b-49c29e308e2a
Blumensath, T. and Davies, M. E.
(2007)
Blind separation of maternal and fetal ECG recordings using adaptive sparse representations.
ICA Research Network International Workshop 2006, Liverpool, United Kingdom.
17 - 18 Sep 2006.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper we present a method to blindly separate maternal and fetal ECG signals using recordings made from the maternal abdomen. The method is general and is able to separate the signals using any number of recording electrodes, including the difficult case of single channel blind source separation. The approach is based on the assumption that the signals admit a sparse and shift-invariant representation. Adaptation of the representation then leads to the emergence of the PQRST complexes of the maternal and the fetal heart for each electrode so that we can separate the individual sources by reconstructing the signal using only a single PQRST complex.
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Published date: March 2007
Venue - Dates:
ICA Research Network International Workshop 2006, Liverpool, United Kingdom, 2006-09-17 - 2006-09-18
Organisations:
Signal Processing & Control Grp
Identifiers
Local EPrints ID: 151927
URI: http://eprints.soton.ac.uk/id/eprint/151927
ISBN: 01274545830X
PURE UUID: ef202883-5423-4d08-b4dd-2b9d895cb567
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Date deposited: 22 Jun 2010 13:30
Last modified: 24 Mar 2022 02:39
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Author:
M. E. Davies
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