Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection

Boashash, Boualem and Ben-Jabeur, Taoufik (2012). Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection. In: 2012 11th International Conference on Information Science, Signal Processing and their Applications: ISSPA 2012. ISSPA 2012: The 11th International Conference on Information Science, Signal Processing and their Applications, Montreal, QC, Canada, (354-359). 2-5 July, 2012. doi:10.1109/ISSPA.2012.6310574


Author Boashash, Boualem
Ben-Jabeur, Taoufik
Title of paper Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
Conference name ISSPA 2012: The 11th International Conference on Information Science, Signal Processing and their Applications
Conference location Montreal, QC, 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, USA
Publisher IEEE
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/ISSPA.2012.6310574
Open Access Status
ISBN 9781467303811
9781467303828
9781467303804
Volume 1
Start page 354
End page 359
Total pages 6
Formatted Abstract/Summary
Prior to birth, fetus health can be monitored by the variety and scale of its movements. In addition, at birth, EEG signals are recorded from at-risk newborns. Studies have shown that both fetal movements and newborn EEGs are non-stationary signals. This paper aims to represent both newborn EEG and fetal movement signals in a time-frequency domain using a specifically designed time-frequency distribution (TFD) that is well adapted to these types of data for the purpose of analysis, detection and classification. The approach to design the quadratic TFDS is based on relating separable-kernel TFDS to DSP spectral window and digital filter design. To reach this goal, we compared recently proposed TFDs such as the Modified B distribution, a separable Gaussian distribution and the B distribution. Then, an extension of the modified B distribution(MBD) is proposed, referred to as the extended separable-kernel MBD. This new TFD uses a separable kernel based on an extension of the modified B kernel in both time and frequency domain with different windows for each domain. Simulation results are provided to compare the proposed Method with different TFDs and to assess its performance. The new TFD is then first applied to real fetal movement data recorded using accelerometers.
Subjects 1706 Computer Science Applications
1711 Signal Processing
Keyword Fetal movement
Fetus health
MBD
Newborn health outcome
Quadratic TFDs
Separable kernel
Time-frequency analysis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Presented during and published under "WA-P4 (Poster): Signal Theory , Methods and Algorithms P1".

Document type: Conference Paper
Collection: UQ Centre for Clinical Research Publications
 
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