Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74043
Title: Smart fetal monitoring
Authors: You, J 
Li, Q
Guo, Z
Zhao, R 
Issue Date: 2017
Publisher: Springer
Source: Lecture notes in electrical engineering, 2017, v. 424, p. 494-503 How to cite?
Journal: Lecture notes in electrical engineering 
Abstract: Fetal movement is an important index of fetal well-being. The absence or a reduction in fetal movement is a symptom or an alarming sign of fetal compromise or even death. The timely detection of abnormalities in fetal movement is vital to reduce the incidence of fetal loss, perinatal morbidity and maternal distress. This paper presents a smart fetal monitoring system to detect fetal movement and monitor movement pattern safely and reliably by using a new fabric sensor belt. The monitoring belt is wearable, non-intrusive, radiation free and washable. The new algorithms are robust for automated analysis, detection and assessment of fetal condition, which include effective noise removal, feature extraction, time sequence data analysis and decision support. Both the design of fabric sensor and functionality implementation of the belt are original and unique. The results of preliminary clinical trials demonstrate the feasibility of our prototype. There are no such similar products available in the market.
Description: 8th International Conference on Information Science and Applications, ICISA 2017, 20 - 23 March 2017
URI: http://hdl.handle.net/10397/74043
ISBN: 9789811041532
ISSN: 1876-1100
EISSN: 1876-1119
DOI: 10.1007/978-981-10-4154-9_57
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