Investigation of optical detection strategies for transabdominal fetal heart rate detection using three-layered tissue model and Monte Carlo simulation

Gan Kok Beng, E. Zahedi, M. A. Mohd Ali

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

In this paper, the Monte Carlo technique is used to determine the optical detection strategies in three-layered (maternal, amniotic fluid and fetal) tissue model. This model is utilized to estimate the transabdominal optical power and optimum source-detector (S-D) separation. Results based on the launching of 2 million photons with 1 mW optical power showed that the expected optical power output is in the range of 10 -6-10 -10 W/cm 2 depending on S-D separation. Considering the limit of the signal processing methods (such as adaptive noise cancelling) and the use of silicon photodetector, an S-D separation of 4 cm has been selected as a practical compromise between signal level and percentage of optical power (70%) coming from the fetal layer. Based on these findings, transabdominal fetal heart rate detection system using NIR and adaptive filtering can be designed and developed.

Original languageEnglish
Pages (from-to)885-896
Number of pages12
JournalOptica Applicata
Volume41
Issue number4
Publication statusPublished - 2011

Fingerprint

heart rate
Tissue
Detectors
detectors
Adaptive filtering
simulation
launching
Launching
Silicon
Photodetectors
photometers
signal processing
Signal processing
Photons
Fluids
output
fluids
photons
silicon
estimates

Keywords

  • Fetal heart rate
  • Monte Carlo simulation
  • Tissue model
  • Transabdominal

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials

Cite this

Investigation of optical detection strategies for transabdominal fetal heart rate detection using three-layered tissue model and Monte Carlo simulation. / Kok Beng, Gan; Zahedi, E.; Mohd Ali, M. A.

In: Optica Applicata, Vol. 41, No. 4, 2011, p. 885-896.

Research output: Contribution to journalArticle

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