Abstract
In this paper, an approach based on adaptive noise cancellation (ANC) is evaluated to extract the fetal heartrate using photoplethysmographic (PPG) signals from the maternal abdomen. Results of simulations using semisynthetic PPG signals are presented which show the feasibility of the proposed technique. Then a mixture of PPG signal is produced by recording the PPG from overlapping fingers from two different subjects in-lieu of the mother and fetus. Results show that a recursive least-squares algorithm is capable to extract the peaks of the desired PPG signal, hence the heartrate, even at a SNR of -34 dB.
Original language | English |
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Title of host publication | IFMBE Proceedings |
Publisher | Springer Verlag |
Pages | 387-390 |
Number of pages | 4 |
Volume | 15 |
ISBN (Print) | 9783540680161 |
Publication status | Published - 2007 |
Event | 3rd Kuala Lumpur International Conference on Biomedical Engineering, Biomed 2006 - Kuala Lumpur Duration: 11 Dec 2006 → 14 Dec 2006 |
Other
Other | 3rd Kuala Lumpur International Conference on Biomedical Engineering, Biomed 2006 |
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City | Kuala Lumpur |
Period | 11/12/06 → 14/12/06 |
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Keywords
- Adaptive signal processing
- Photoplethysmography
ASJC Scopus subject areas
- Biomedical Engineering
- Bioengineering
Cite this
Feasibility of fetal photoplethysmography signal extraction using adaptive noise cancelling. / Kok Beng, Gan; Zahedi, E.; Mohd Ali, M. A.
IFMBE Proceedings. Vol. 15 Springer Verlag, 2007. p. 387-390.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Feasibility of fetal photoplethysmography signal extraction using adaptive noise cancelling
AU - Kok Beng, Gan
AU - Zahedi, E.
AU - Mohd Ali, M. A.
PY - 2007
Y1 - 2007
N2 - In this paper, an approach based on adaptive noise cancellation (ANC) is evaluated to extract the fetal heartrate using photoplethysmographic (PPG) signals from the maternal abdomen. Results of simulations using semisynthetic PPG signals are presented which show the feasibility of the proposed technique. Then a mixture of PPG signal is produced by recording the PPG from overlapping fingers from two different subjects in-lieu of the mother and fetus. Results show that a recursive least-squares algorithm is capable to extract the peaks of the desired PPG signal, hence the heartrate, even at a SNR of -34 dB.
AB - In this paper, an approach based on adaptive noise cancellation (ANC) is evaluated to extract the fetal heartrate using photoplethysmographic (PPG) signals from the maternal abdomen. Results of simulations using semisynthetic PPG signals are presented which show the feasibility of the proposed technique. Then a mixture of PPG signal is produced by recording the PPG from overlapping fingers from two different subjects in-lieu of the mother and fetus. Results show that a recursive least-squares algorithm is capable to extract the peaks of the desired PPG signal, hence the heartrate, even at a SNR of -34 dB.
KW - Adaptive signal processing
KW - Photoplethysmography
UR - http://www.scopus.com/inward/record.url?scp=84890492608&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890492608&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84890492608
SN - 9783540680161
VL - 15
SP - 387
EP - 390
BT - IFMBE Proceedings
PB - Springer Verlag
ER -