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Detecting Gross Fetal Movements Using Fetal Magnetocardiography

机译:使用胎儿心动图检测胎儿总体运动

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Fetal development is associated with the emergence of fetal movements (FM). Gross FM involve the limbs and/or the trunk and are accompanied by changes in heart rate and heart rate variability (HRV). To detect such FM, we developed a semi-automatic technique which analyzes changes in signal morphology of multichannel fetal magnetocardio-gram (FMCG) signals over time. The technique exploits the changes QRS signal shape and amplitude in specific channels resulting from gross FM. From our database of FMCG records, we selected 26 five-minute FMCGs in 14 healthy pregnant women (31st-41st week of gestation) in which FM were suspected on the basis of fetal heart rate accelerations. In each recording, after the removal of the maternal artifact, the fetal QRS complexes were identified using template matching. In each channel, the minimum and maximum amplitudes of each QRS complex were determined. In the actogram, the beat-to-beat changes in maximum and minimum values, respectively, were quantified using the variance over a 20 beat window. Automatically determined, rapid increases in variance were considered reflecting changes in fetal position. The timings of these increases were examined together with changes in fetal heart rate (determined by the RR intervals derived from the QRS complexes). We found between 1-4 episodes of rapid increases in variance in each of the 26 actograms. These episodes were associated with an immediate decrease of 31.7± 18.8 ms from overall RR interval (heart rate increase: 11.3±6.5 bpm). Beat-to-beat RR interval variability was reduced from overall 7.4±3.2 ms to 3.8±1.7 ms immediately following the begin of the actographically determined episodes. The results suggest that the majority of the episodes reflected FM and that this actographic approach may be used to automatically scan FMCG recordings for such movement. This will be helpful in categorizing FMCG recordings with respect to fetal behavioral state and improve the assessment of fetal HRV.
机译:胎儿发育与胎儿运动(FM)的出现有关。总FM累及四肢和/或躯干,并伴有心率和心率变异性(HRV)的变化。为了检测此类FM,我们开发了一种半自动技术,该技术可分析多通道胎儿心电图(FMCG)信号随时间变化的信号形态。该技术利用了由总FM导致的特定通道中QRS信号形状和幅度的变化。从我们的快速消费品记录数据库中,我们从14名健康孕妇(妊娠31-41周)中选择了26种五分钟的快速消费品,这些孕妇是根据胎儿心率加速而怀疑患有快速消费品。在每次记录中,去除母体伪影后,使用模板匹配识别胎儿QRS复合体。在每个通道中,确定每个QRS波群的最小和最大幅度。在活动图中,使用20个拍子窗口上的方差分别量化最大值和最小值之间的拍子变化。自动确定的方差快速增加被认为反映了胎儿位置的变化。检查这些增加的时机以及胎儿心率的变化(由QRS络合物得出的RR间隔确定)。我们发现,在26个动作图的每一个中,1-4次发作之间方差迅速增加。这些发作与总RR间隔立即减少31.7±18.8 ms有关(心率增加:11.3±6.5 bpm)。拍子间的RR间隔变异性在根据影像学确定的发作开始后立即从整体7.4±3.2 ms降低到3.8±1.7 ms。结果表明,大多数发作都反映了FM,并且这种行为学方法可用于自动扫描FMCG记录以进行此类运动。这将有助于根据胎儿行为状态对快速消费品(FMCG)录音进行分类,并有助于评估胎儿HRV。

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