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Author Khlif, M.S.en_US
Author Boashash, Ben_US
Author Layeghy, Sen_US
Author Ben-Jabeur, Ten_US
Author Mesbah, Men_US
Author East, Cen_US
Author Colditz, Pen_US
Available date 2012-06-18T06:52:20Zen_US
Publication Date 2011en_US
Publication Name IEEE 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.en_US
URI http://dx.doi.org/10.1109/ISSPIT.2011.6151607en_US
URI http://hdl.handle.net/10576/10842en_US
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).en_US
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
Language enen_US
Publisher IEEEen_US
Subject Accelerometeren_US
Subject detectionen_US
Subject fetal movementen_US
Subject time-frequency analysisen_US
Subject quadratic TFDsen_US
Subject Spectrogramen_US
Subject modified B distributionen_US
Subject Accelerometeren_US
Subject detectionen_US
Subject fetal movementen_US
Subject time-frequency analysisen_US
Subject quadratic TFDsen_US
Subject Spectrogramen_US
Subject modified B distributionen_US
Subject FetMov signalsen_US
Subject detectionen_US
Title Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detectionen_US
Type Conference Paperen_US


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