Artifact reduction in maternal abdominal ECG recordings for fetal ECG estimation

Vullings, Rik; Peters, C.H.L.; Mischi, Massimo; Sluijter, R.J.; Oei, Guid; Bergmans, J.W.M.

doi:10.1109/iembs.2007.4352218

Cited by 11 publications

(10 citation statements)

References 10 publications

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“…Besides the capture of these signals the breath movement of the pregnant is also captured and the movements due to the displacement of the sensor (motion artefacts). These movements represent a noise signal which should be eliminated [5], and are represented upon the curve from Fig. 8.…”

Section: Preliminary Results Of Movement and Ecg Sensingmentioning

confidence: 99%

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Overview of progress in Smart-Clothing project for health monitoring and sport applications

Borges

Rente

Velez

et al. 2008

2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies

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Smart-Clothing is a project that combines research in textiles materials and wireless sensor and actuator networks in the context of human body monitoring with statistical methods for the data analysis and treatment. This project aims mainly to aid in the monitoring of the foetal movement in the last four weeks of pregnancy. Besides the integration of sensors in the garment there will be needed a hierarchical communication system that allows the delivery of the data collected from the garment that the pregnant is wearing to the doctor. The pregnant can be either at home or in the hospital. In the first stage of the project tests are being made using several types of sensors integrated in a belt in order to choose the one that is more reliable for the detection of foetal movement. Another sensing task is the manufacture of the electrodes for the electrocardiogram (ECG) system. At this point, the electrodes for the ECG are already made and working. The testing of the sensor for the detection of foetal movement is still being done.

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Section: Preliminary Results Of Movement and Ecg Sensingmentioning

confidence: 99%

“…This noise is due to various causes such as the biological signals of the pregnant woman, e.g., MECG-Maternal ECG [5], or the mechanical movements such as the breathing, talking or walking. Ultrasound are not being considered.…”

Section: Wp 2-sensors Communications and Textile Materialsmentioning

confidence: 99%

Overview of progress in Smart-Clothing project for health monitoring and sport applications

Borges

Rente

Velez

et al. 2008

2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies

View full text Add to dashboard Cite

show abstract

“…The main interference is the maternal ECG, which is removed by means of dynamically segmenting the maternal ECG complexes and subsequently estimating these maternal ECG segments by means of a linear prediction method as proposed in [4]. The resulting signals consist of the fetal ECG, electromyographic noise, and other noise sources, e.g.…”

Section: A Fetal Ecgmentioning

confidence: 99%

Fetal movement quantification by fetal vectorcardiography: A preliminary study

Vullings

Peters

Mischi

et al. 2008

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Fetal movement is a valuable source of information to monitor the neurological development of the fetus and assess fetal health. Currently, fetal movement can be assessed by the mother or detected by analysis of ultrasound images. Long-term monitoring of movement is complicated with both these methods as maternal self-assessment has a relatively poor sensitivity and specificity and automatic analysis of ultrasound images is not available. Moreover, ultrasound transducers transmit energy into the body, potentially endangering fetal health. In this paper, an alternative method for fetal movement monitoring is presented. This method operates by estimating and analyzing the fetal vectorcardiogram (VCG) from non-invasive recordings on the maternal abdomen. The determined fetal movement is compared with that assessed from a simultaneously performed ultrasound recording; the results of the presented method are consistent with the ultrasound images. In addition, the presented method enables quantification of the rotation angles by means of analysis of the rotation matrix between consecutive fetal VCGs, providing a tool for long-term monitoring of fetal movement with increased specificity.

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“…Therefore, the method described in [7] was adopted for the MECG removal. The baseline oscillations due to slow electrical waves, such as respiration, were then removed by a four-order Butterworth filter with cut-off frequency set at 0.34 Hz [4].…”

Section: B Pre-processingmentioning

confidence: 99%

On the propagation analysis of electrohysterographic signals

Rabotti

Mischi

Laar

et al. 2008

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Premature birth is a leading cause of fetal mortality and long-term morbidity. The effective treatment of preterm uterine contractions requires new methods for predicting delivery. The electrohysterographic (EHG) signal is a measure of the bioelectrical process underlying the uterine contraction. The analysis of parameters derived from the EHG signal can therefore provide fundamental information for the prognosis of labor. In this paper, we focus on the propagation of the EHG signal recorded during delivery by multiple electrodes. For the inter-electrode delay assessment and propagation analysis, two different methods are implemented. One is based on the prior estimation of the uterine mechanical activity by EHG signal processing. The delay is then calculated by the cross-correlation function between the mechanical activity estimated at each sensor. The other method is a high temporal resolution adaptive delay estimator that operates directly on EHG signals. The previously demonstrated accuracy of the mechanical estimates and the agreement between the delays provided by the methods confirm the tight relationship between the mechanical and electrical activity of the uterus. However, our results suggest that a higher temporal resolution delay estimator is preferred.

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Artifact reduction in maternal abdominal ECG recordings for fetal ECG estimation

Cited by 11 publications

References 10 publications

Overview of progress in Smart-Clothing project for health monitoring and sport applications

Overview of progress in Smart-Clothing project for health monitoring and sport applications

Fetal movement quantification by fetal vectorcardiography: A preliminary study

On the propagation analysis of electrohysterographic signals

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