Independent component analysis for fetal heart rate detection using photosplethysmography
Photoplethysmography (PPG) is an optoelectronic technique for measuring and recording changes in the volume of body parts. These changes are associated with each heart beat and acquired by pulse oximetry. Fetal heart rate (FHR) monitoring using PPG is a challenging task since the acquired signal...
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iium-106482016-01-07T02:02:16Z http://irep.iium.edu.my/10648/ Independent component analysis for fetal heart rate detection using photosplethysmography Harbawi, Malek M.A. Khalifa, Othman Omran Mohd. Ali, M.A. TK7885 Computer engineering Photoplethysmography (PPG) is an optoelectronic technique for measuring and recording changes in the volume of body parts. These changes are associated with each heart beat and acquired by pulse oximetry. Fetal heart rate (FHR) monitoring using PPG is a challenging task since the acquired signals present the pattern of both fetal and maternal hearts. The effect of maternal component, noise and artifacts on fetal component makes the separation of FHR very difficult. In this paper, we study the applicability of independent component analysis (lCA) to FHR detection using PPG. The study was conducted using emulated signals to mimic the pulsation nature of both maternal and fetal hearts. The outcome of this experiment shows encouraging results in terms of the extraction ability oflCA, which can perform well even when fetal-to-maternal signal-to-noise ratio (SIY~) drops to -276 dB. Research Science Press 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/10648/1/Independent_Component_Analysis_for_fetal_Heart_rate_Detection.pdf Harbawi, Malek M.A. and Khalifa, Othman Omran and Mohd. Ali, M.A. (2009) Independent component analysis for fetal heart rate detection using photosplethysmography. International Journal of Information Analysis and Processing, 2 (1). pp. 1-6. ISSN 0973-5712 |
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TK7885 Computer engineering Harbawi, Malek M.A. Khalifa, Othman Omran Mohd. Ali, M.A. Independent component analysis for fetal heart rate detection using photosplethysmography |
description |
Photoplethysmography (PPG) is an optoelectronic technique
for measuring and recording changes in the volume of body parts.
These changes are associated with each heart beat and acquired by
pulse oximetry. Fetal heart rate (FHR) monitoring using PPG is a
challenging task since the acquired signals present the pattern of both
fetal and maternal hearts. The effect of maternal component, noise
and artifacts on fetal component makes the separation of FHR very
difficult. In this paper, we study the applicability of independent
component analysis (lCA) to FHR detection using PPG. The study
was conducted using emulated signals to mimic the pulsation nature
of both maternal and fetal hearts. The outcome of this experiment
shows encouraging results in terms of the extraction ability oflCA,
which can perform well even when fetal-to-maternal signal-to-noise
ratio (SIY~) drops to -276 dB. |
format |
Article |
author |
Harbawi, Malek M.A. Khalifa, Othman Omran Mohd. Ali, M.A. |
author_facet |
Harbawi, Malek M.A. Khalifa, Othman Omran Mohd. Ali, M.A. |
author_sort |
Harbawi, Malek M.A. |
title |
Independent component analysis for fetal heart rate detection using photosplethysmography |
title_short |
Independent component analysis for fetal heart rate detection using photosplethysmography |
title_full |
Independent component analysis for fetal heart rate detection using photosplethysmography |
title_fullStr |
Independent component analysis for fetal heart rate detection using photosplethysmography |
title_full_unstemmed |
Independent component analysis for fetal heart rate detection using photosplethysmography |
title_sort |
independent component analysis for fetal heart rate detection using photosplethysmography |
publisher |
Research Science Press |
publishDate |
2009 |
url |
http://irep.iium.edu.my/10648/ http://irep.iium.edu.my/10648/1/Independent_Component_Analysis_for_fetal_Heart_rate_Detection.pdf |
first_indexed |
2023-09-18T20:20:02Z |
last_indexed |
2023-09-18T20:20:02Z |
_version_ |
1777408045716865024 |