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Author Mesbah, M.en_US
Author Khlif, M.S.en_US
Author East, C.en_US
Author Smeathers, Jen_US
Author Colditz, P.en_US
Author Boashash, B.en_US
Available date 2012-06-18T07:39:08Zen_US
Publication Date 2011en_US
Publication Name Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society 2011
Citation M. Mesbah, M. S. Khlif, C. East, J. Smeathers, P. Colditz and B. Boashash, “Accelerometer-based fetal movement detection,” in Proc. 2011 Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, pp. 7877 – 7880, Boston, MA, Sept. 2011.en_US
Description This paper presents the results of an accelerometer-based fetal movement detector . (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see 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: 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 compelling problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity (movement), well-being, and later developmental outcome. We have recently developed an ambulatory accelerometer-based fetal activity monitor (AFAM) to record 24-hour fetal movement. Using this system, we aim at developing signal processing methods to automatically detect and quantitatively characterize fetal movements. The first step in this direction is to test the performance of the accelerometer in detecting fetal movement against real-time ultrasound imaging (taken as the gold standard). This paper reports first results of this performance analysis.en_US
Language enen_US
Publisher IEEEen_US
Subject ambulatory accelerometeren_US
Subject fetal activity monitoren_US
Subject fetal movement detectionen_US
Subject obstetricsen_US
Subject real-time ultrasound imagingen_US
Subject time-frequency analysisen_US
Subject t-f signal processingen_US
Subject t-f detectionen_US
Title Accelerometer-based fetal movement detectionen_US
Type Conference Paperen_US

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