A passive DSP approach to fetal movement detection for monitoring fetal health

Khlif, Mohamed Salah H., Boashash, Boualem, Layeghy, Siamak, Ben-Jabeur, Taoufik, Colditz, Paul B. and East, Christine (2012). A passive DSP approach to fetal movement detection for monitoring fetal health. In: 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012. 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), Montreal, Canada, (71-76). 2-5 July 2012. doi:10.1109/ISSPA.2012.6310647


Author Khlif, Mohamed Salah H.
Boashash, Boualem
Layeghy, Siamak
Ben-Jabeur, Taoufik
Colditz, Paul B.
East, Christine
Title of paper A passive DSP approach to fetal movement detection for monitoring fetal health
Conference name 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)
Conference location Montreal, Canada
Conference dates 2-5 July 2012
Proceedings title 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Place of Publication Piscataway, NJ, Australia
Publisher IEEE
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/ISSPA.2012.6310647
Open Access Status
ISBN 9781467303811
9781467303804
Start page 71
End page 76
Total pages 6
Collection year 2013
Abstract/Summary FeFetal movement can help clinicians understand fetal functional development. Active methods for fetal monitoring such as ultrasound are expensive and there are objections to their long term usage. This paper presents a passive approach for fetal monitoring which uses solid state accelerometers placed on the mother's abdomen for the collection of fetal movements. The proposed fetal movement detection is based on the root-mean-square (RMS) of time series. The detection performance is evaluated against real-time ultrasound imaging. A good detection rate of 80% and a positive predictive value of 77% were achieved based on the analysis of 4 subjects. Time-frequency (TF) analysis of fetal movement signals, using a number of quadratic TF distributions, has shown that some fetal movements are spectrally characterized by nonstationary and nonlinear behavior and that fetal activity is generally below 20 Hz. More data are needed for further TF analysis and future detections will depend on the outcome of this analysis.
Subjects 1706 Computer Science Applications
1711 Signal Processing
Keyword Accelerometer
Detection
Fetal movement
Quadratic TFD
Time-frequency analysis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collections: Non HERDC
School of Nursing, Midwifery and Social Work Publications
 
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