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المؤلفBoashash B.
المؤلفBen-Jabeur T.
تاريخ الإتاحة2022-05-31T19:01:39Z
تاريخ النشر2012
اسم المنشور2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ISSPA.2012.6310574
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31934
الملخصPrior 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.
اللغةen
الموضوعFetal movements
Health outcomes
MBD
Quadratic TFDs
Separable kernel
Time frequency analysis
Belt drives
Frequency domain analysis
Health
Information science
Signal detection
العنوانDesign of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
النوعConference Paper
الصفحات354-359
dc.accessType Abstract Only


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