Passive detection of accelerometer-recorded fetal movements using a time-frequency signal processing approach
Passive detection of accelerometer-recorded fetal movements using a time-frequency signal processing approach
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DOI：
10.1016/j.dsp.2013.10.002
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发表时间：
2014-02-01
影响因子：
2.9
通讯作者：
Colditz, P. B.
中科院分区：
文献类型：
--
作者：
Boashash, B.;Khlif, M. S.;Colditz, P. B.
本文介绍了一种基于时频（TF）信号处理方法的多传感器胎儿运动检测系统。胎儿运动活动作为胎儿健康筛查的一个核心方面在临床上是有用的，以减少目前世界上胎儿死亡的高发生率。FetMov存在于妊娠早期，但随着胎儿在妊娠期的发展而变得更加复杂和持续。FetMov的减少是胎儿损害检测的一个重要因素。目前的FetMov检测方法包括产妇感知，这是不准确的，以及超声成像，这是侵入性的和昂贵的。另一种被动检测FetMov的方法是使用固态加速度计，这种方法既安全又便宜。本文介绍了一种基于数字信号处理（DSP）的从加速度计记录信号中检测femov的实验方法。本文概述了重要的测量和信号处理挑战，然后介绍了一种使用二次时频分布（tfd）来适当处理信号非平稳特性的方法。然后，本文描述了一个概念验证的解决方案，该解决方案由一种检测方法组成，该方法包括：(1)新的实验装置，(2)改进的数据采集程序，以及(3)用于检测FetMov的TF方法，包括基于高分辨率二次tfd的TF匹配追踪（TFMP）分解和TF匹配滤波（TFMF）。对进一步完善提出了详细的建议，以确定初步结果的可行性，并对应用于临床实践的考虑进行了综述。爱思唯尔公司版权所有版权所有。
This paper describes a multi-sensor fetal movement (FetMov) detection system based on a time-frequency (TF) signal processing approach. Fetal motor activity is clinically useful as a core aspect of fetal screening for well-being to reduce the current high incidence of fetal deaths in the world. FetMov are present in early gestation but become more complex and sustained as the fetus progresses through gestation. A decrease in FetMov is an important element to consider for the detection of fetal compromise. Current methods of FetMov detection include maternal perception, which is known to be inaccurate, and ultrasound imaging which is intrusive and costly. An alternative passive method for the detection of FetMov uses solid-state accelerometers, which are safe and inexpensive. This paper describes a digital signal processing (DSP) based experimental approach to the detection of FetMov from recorded accelerometer signals. The paper provides an overview of the significant measurement and signal processing challenges, followed by an approach that uses quadratic time-frequency distributions (TFDs) to appropriately deal with the non-stationary nature of the signals. The paper then describes a proof-of-concept with a solution consisting of a detection method that includes (1) a new experimental set-up, (2) an improved data acquisition procedure, and (3) a TF approach for the detection of FetMov including TF matching pursuit (TFMP) decomposition and TF matched filter (TFMF) based on high-resolution quadratic TFDs. Detailed suggestions for further refinement are provided with preliminary results to establish feasibility, and considerations for application to clinical practice are reviewed. Crown Copyright (C) 2013 Published by Elsevier Inc. All rights reserved.