Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection

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Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection

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dc.contributor.author Khlif, M.S.
dc.contributor.author Boashash, B
dc.contributor.author Layeghy, S
dc.contributor.author Ben-Jabeur, T
dc.contributor.author Mesbah, M
dc.contributor.author East, C
dc.contributor.author Colditz, P
dc.date.accessioned 2012-06-18T06:52:20Z
dc.date.available 2012-06-18T06:52:20Z
dc.date.issued 2011
dc.identifier.citation [C-2] M.S. Khlif, B. Boashash, S. Layeghy, T. Ben-Jabeur, M. Mesbah, C. East and P. Colditz, “Time-frequency characterization of tri-axial accelerometer data for fetal movement detection,” in Proc. 2011 IEEE Int. Symp. on Signal Processing and Information Technology (ISSPIT), pp. 466-471, Bilbao, Spain, Dec. 2011. en_US
dc.identifier.uri http://dx.doi.org/10.1109/ISSPIT.2011.6151607
dc.identifier.uri http://hdl.handle.net/10576/10842
dc.description This paper presents the first preliminary results of an accelerometer-based fetal movement detector using the RMS of acceleration magnitude for identifying episodes of fetal activity and episodes of inactivity so as to allow timely clinical intervention. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated).
dc.description.abstract Monitoring fetal wellbeing is a significant problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity and its well-being. Using data acquired by accelerometry sensors, we use TFDs such as the spectrogram and modified B distribution (MBD) to characterize fetal movements in the time-frequency (TF) domain. This paper reports a fetal activity detection method based on the root-mean-square (RMS) of time series and evaluates its performance against real-time ultrasound imaging, taken as the gold standard. The evaluation showed better performance with the RMS-based detector as compared to maternal perception. The evaluation also showed that the detector performance is age-dependent and that fetal movement is characterized by different TF morphology. Time-frequency distributions (TFDs) with better resolution such as MBD are investigated for TF-based techniques for the detection of fetal movements. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Accelerometer en_US
dc.subject detection en_US
dc.subject fetal movement en_US
dc.subject time-frequency analysis en_US
dc.subject quadratic TFDs en_US
dc.subject Spectrogram en_US
dc.subject modified B distribution en_US
dc.subject Accelerometer
dc.subject detection
dc.subject fetal movement
dc.subject time-frequency analysis
dc.subject quadratic TFDs
dc.subject Spectrogram
dc.subject modified B distribution
dc.subject FetMov signals
dc.subject detection
dc.title Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection en_US
dc.type Article en_US

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