NDLI: Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings

Content Provider	IEEE Xplore Digital Library
Author	Rooijakkers, M.J. de Lau, H. Rabotti, C. Oei, S.G. Bergmans, J.W.M. Mischi, M.
Copyright Year	2014
Description	Author affiliation: Fac. of Electr. Eng., Univ. of Technol. Eindhoven, Eindhoven, Netherlands (Rooijakkers, M.J.; de Lau, H.; Rabotti, C.; Bergmans, J.W.M.; Mischi, M.) \|\| Perinatology & Obstetrics Dept., Maxima Med. Center, Veldhoven, Netherlands (Oei, S.G.)
Abstract	Evaluation of fetal motility can give insight in fetal health, as a strong decrease can be seen as a precursor to fetal death. Typically, the assessment of fetal health by fetal movement detection relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% to 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are typically unsuitable for ambulatory or long-term observation. In this paper, a novel method for fetal motion detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. The proposed method has a sensitivity and specificity of 0.67 and 0.90, respectively, outperforming alternative fetal ECG-based methods from the literature.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1452
Ending Page	1455
File Size	810477
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943874
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Sensitivity Ultrasonic imaging Reliability Monitoring Correlation Gynecology
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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