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@ARTICLE{Yao:151149,
author = {Yao, Yu and Bruser, Christoph and Pietrzyk, Uwe and
Leonhardt, Steffen and van Waasen, Stefan and Schiek,
Michael},
title = {{M}odel-{B}ased {V}erification of a {N}on-{L}inear
{S}eparation {S}cheme for {B}allistocardiography},
journal = {IEEE journal of biomedical and health informatics},
volume = {18},
number = {1},
issn = {2168-2194},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2014-01149},
pages = {174-182},
year = {2014},
abstract = {The current rise in popularity of
ballisto-cardiography-related research has led to the
development of new sensor concepts and recording methods.
Measuring the ballistocardiogram using bed mounted pressure
sensors opens up new possibilities for home monitoring
applications. The signals measured with these sensors
contain a mixture of cardiac and respiratory components,
which can be used for detection of comorbidities of heart
failure like apnea or arrhythmia. However, the separation of
the cardiac and respiratory components has proven to be
difficult, since there is significant overlap in the spectra
of both components. In this paper, an algorithm for the
separation task is presented, which can overcome the problem
of overlapping spectra. Additionally, a model has been
developed for the generation of artificial
ballistocardiograms, which are used to analyze the
separation performance. Furthermore, the algorithm is tested
on preliminary data from a clinical study.},
cin = {INM-4 / ZEA-2},
ddc = {610},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)ZEA-2-20090406},
pnm = {332 - Imaging the Living Brain (POF2-332)},
pid = {G:(DE-HGF)POF2-332},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000329516400020},
doi = {10.1109/JBHI.2013.2261820},
url = {https://juser.fz-juelich.de/record/151149},
}