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AuthorKhlif, M.S.
AuthorBoashash, B
AuthorLayeghy, S
AuthorBen-Jabeur, T
AuthorMesbah, M
AuthorEast, C
AuthorColditz, P
Available date2012-06-18T06:52:20Z
Publication Date2011
Publication NameIEEE Int. Symp. on Signal Processing and Information Technology (ISSPIT) 2011
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.
URIhttp://dx.doi.org/10.1109/ISSPIT.2011.6151607
URIhttp://hdl.handle.net/10576/10842
DescriptionThis 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).
AbstractMonitoring 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.
Languageen
PublisherIEEE
SubjectAccelerometer
Subjectdetection
Subjectfetal movement
Subjecttime-frequency analysis
Subjectquadratic TFDs
SubjectSpectrogram
Subjectmodified B distribution
SubjectAccelerometer
Subjectdetection
Subjectfetal movement
Subjecttime-frequency analysis
Subjectquadratic TFDs
SubjectSpectrogram
Subjectmodified B distribution
SubjectFetMov signals
Subjectdetection
TitleTime-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
TypeConference Paper


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